diff --git a/docs/index.html b/docs/index.html
deleted file mode 100644
index a2e5861..0000000
--- a/docs/index.html
+++ /dev/null
@@ -1,110 +0,0 @@
-<!DOCTYPE html>
-
-<html lang="Python" data-content_root="./">
-  <head>
-    <meta charset="utf-8" />
-    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
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-    <title>Welcome to Metric Forge&#39;s documentation! &#8212; Metric Forge 0.3.0 documentation</title>
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-    <link rel="index" title="Index" href="genindex.html" />
-    <link rel="search" title="Search" href="search.html" />
-   
-  <link rel="stylesheet" href="_static/custom.css" type="text/css" />
-  
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-  
-  
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-  </head><body>
-  
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-    <div class="document">
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-        <div class="bodywrapper">
-          
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-          <div class="body" role="main">
-            
-  <section id="welcome-to-metric-forge-s-documentation">
-<h1>Welcome to Metric Forge's documentation!<a class="headerlink" href="#welcome-to-metric-forge-s-documentation" title="Link to this heading">¶</a></h1>
-<div class="toctree-wrapper compound">
-</div>
-</section>
-<section id="indices-and-tables">
-<h1>Indices and tables<a class="headerlink" href="#indices-and-tables" title="Link to this heading">¶</a></h1>
-<ul class="simple">
-<li><p><a class="reference internal" href="genindex.html"><span class="std std-ref">Index</span></a></p></li>
-<li><p><a class="reference internal" href="py-modindex.html"><span class="std std-ref">Module Index</span></a></p></li>
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-      <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
-        <div class="sphinxsidebarwrapper">
-<h1 class="logo"><a href="#">Metric Forge</a></h1>
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-
-<h3>Navigation</h3>
-
-<div class="relations">
-<h3>Related Topics</h3>
-<ul>
-  <li><a href="#">Documentation overview</a><ul>
-  </ul></li>
-</ul>
-</div>
-<div id="searchbox" style="display: none" role="search">
-  <h3 id="searchlabel">Quick search</h3>
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-    <form class="search" action="search.html" method="get">
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diff --git a/docs/source/conf.py b/docs/source/conf.py
index 3420640..19873d1 100644
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -36,7 +36,7 @@
 project = 'Metric Forge'
 copyright = '2024, Jayden Rasband'
 author = 'Jayden Rasband'
-release = '0.3.0'
+release = '0.5.0'
 
 # -- General configuration ---------------------------------------------------
 
diff --git a/metric_forge/human_capital/polars_ext.py b/metric_forge/human_capital/polars_ext.py
index 3cc496e..b1ca5ef 100644
--- a/metric_forge/human_capital/polars_ext.py
+++ b/metric_forge/human_capital/polars_ext.py
@@ -7,24 +7,84 @@ def __init__(self, expr: pl.Expr):
 
     # Employee Turnover Rate
     def employee_turnover_rate(self, employees_left_column: str, total_employees_column: str) -> pl.Expr:
+        '''
+        Calculates the employee turnover rate by dividing the number of employees who have left by the total number of employees.
+
+        Parameters
+        ----------
+        employees_left_column : str
+            The column name representing the number of employees who have left during a given period.
+        total_employees_column : str
+            The column name representing the total number of employees during the same period.
+
+        Returns
+        -------
+        pl.Expr
+            An expression representing the employee turnover rate, set to 0 if the total number of employees is zero.
+        '''
         employees_left_expr = pl.col(employees_left_column)
         total_employees_expr = pl.col(total_employees_column)
         return pl.when(total_employees_expr == 0).then(0.0).otherwise(employees_left_expr / total_employees_expr).alias('employee_turnover_rate')
 
     # Sales per Employee
     def sales_per_employee(self, sales_column: str, total_employees_column: str) -> pl.Expr:
+        '''
+        Calculates the sales per employee by dividing total sales by the number of employees.
+
+        Parameters
+        ----------
+        sales_column : str
+            The column name representing the total sales over a given time period.
+        total_employees_column : str
+            The column name representing the total number of employees during the same period.
+
+        Returns
+        -------
+        pl.Expr
+            An expression representing sales per employee, set to 0 if the total number of employees is zero.
+        '''
         sales_expr = pl.col(sales_column)
         total_employees_expr = pl.col(total_employees_column)
         return pl.when(total_employees_expr == 0).then(0.0).otherwise(sales_expr / total_employees_expr).alias('sales_per_employee')
 
     # Absenteeism Rate
     def absenteeism_rate(self, absent_days_column: str, total_workdays_column: str) -> pl.Expr:
+        '''
+        Calculates the absenteeism rate by dividing the number of absent days by the total number of workdays.
+
+        Parameters
+        ----------
+        absent_days_column : str
+            The column name representing the number of days employees were absent.
+        total_workdays_column : str
+            The column name representing the total number of workdays in a given period.
+
+        Returns
+        -------
+        pl.Expr
+            An expression representing the absenteeism rate, set to 0 if the total number of workdays is zero.
+        '''
         absent_days_expr = pl.col(absent_days_column)
         total_workdays_expr = pl.col(total_workdays_column)
         return pl.when(total_workdays_expr == 0).then(0.0).otherwise(absent_days_expr / total_workdays_expr).alias('absenteeism_rate')
 
     # Average Tenure of Employees
     def average_tenure(self, total_tenure_column: str, total_employees_column: str) -> pl.Expr:
-        total_tenure_expr = pl.col(total_tenure_column)  # Assumes total tenure in years or months
+        '''
+        Calculates the average tenure of employees by dividing the total tenure by the total number of employees.
+
+        Parameters
+        ----------
+        total_tenure_column : str
+            The column name representing the total tenure of employees, typically in years or months.
+        total_employees_column : str
+            The column name representing the total number of employees.
+
+        Returns
+        -------
+        pl.Expr
+            An expression representing the average tenure of employees, set to 0 if the total number of employees is zero.
+        '''
+        total_tenure_expr = pl.col(total_tenure_column)
         total_employees_expr = pl.col(total_employees_column)
         return pl.when(total_employees_expr == 0).then(0.0).otherwise(total_tenure_expr / total_employees_expr).alias('average_tenure')
diff --git a/notebooks/ecommerce.ipynb b/notebooks/ecommerce.ipynb
new file mode 100644
index 0000000..cfd5a83
--- /dev/null
+++ b/notebooks/ecommerce.ipynb
@@ -0,0 +1,400 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Ecommerce\n",
+    "You can use Ecommerce Metrics in two different ways:\n",
+    "* With Polars\n",
+    "* As a Single Value Function (SVF)\n",
+    "\n",
+    "Metric Forge extends the Polars expression library; making it possible to perform row-wise-calculations for various metrics. In addition to mass calculations, you can also perform single value calculations that return just one value. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (5, 15)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>month</th><th>total_revenue</th><th>number_of_orders</th><th>cost_of_acquisition</th><th>new_customers</th><th>carts_created</th><th>completed_purchases</th><th>revenue_from_ads</th><th>advertising_spend</th><th>num_conversions</th><th>num_visitors</th><th>revenue_per_customer</th><th>average_customer_lifetime</th><th>num_customers_lost</th><th>total_customers_beginning</th></tr><tr><td>str</td><td>f64</td><td>i64</td><td>f64</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td><td>f64</td><td>i64</td><td>i64</td><td>f64</td><td>f64</td><td>i64</td><td>i64</td></tr></thead><tbody><tr><td>&quot;2023-01&quot;</td><td>87454.011885</td><td>991</td><td>22958.350559</td><td>406</td><td>1969</td><td>1425</td><td>81339.957696</td><td>5390.910169</td><td>300</td><td>13154</td><td>202.427329</td><td>3.159364</td><td>239</td><td>3306</td></tr><tr><td>&quot;2023-02&quot;</td><td>145071.430641</td><td>913</td><td>18736.874206</td><td>234</td><td>1506</td><td>1421</td><td>76875.083402</td><td>15585.037018</td><td>427</td><td>14762</td><td>116.173436</td><td>1.812245</td><td>124</td><td>4680</td></tr><tr><td>&quot;2023-03&quot;</td><td>123199.394181</td><td>1305</td><td>28355.586842</td><td>120</td><td>1497</td><td>965</td><td>116505.482191</td><td>14872.037954</td><td>367</td><td>10056</td><td>384.265156</td><td>4.771414</td><td>177</td><td>4675</td></tr><tr><td>&quot;2023-04&quot;</td><td>109865.84842</td><td>885</td><td>14184.81582</td><td>428</td><td>1963</td><td>1102</td><td>106008.046381</td><td>12337.204368</td><td>132</td><td>19948</td><td>144.356328</td><td>3.395462</td><td>299</td><td>2972</td></tr><tr><td>&quot;2023-05&quot;</td><td>65601.864044</td><td>691</td><td>18764.339456</td><td>266</td><td>1009</td><td>801</td><td>97258.809912</td><td>5351.995568</td><td>147</td><td>13110</td><td>275.734601</td><td>3.77914</td><td>296</td><td>3768</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (5, 15)\n",
+       "┌─────────┬──────────────┬──────────────┬──────────────┬───┬─────────────┬─────────────┬─────────────┬─────────────┐\n",
+       "│ month   ┆ total_revenu ┆ number_of_or ┆ cost_of_acqu ┆ … ┆ revenue_per ┆ average_cus ┆ num_custome ┆ total_custo │\n",
+       "│ ---     ┆ e            ┆ ders         ┆ isition      ┆   ┆ _customer   ┆ tomer_lifet ┆ rs_lost     ┆ mers_beginn │\n",
+       "│ str     ┆ ---          ┆ ---          ┆ ---          ┆   ┆ ---         ┆ ime         ┆ ---         ┆ ing         │\n",
+       "│         ┆ f64          ┆ i64          ┆ f64          ┆   ┆ f64         ┆ ---         ┆ i64         ┆ ---         │\n",
+       "│         ┆              ┆              ┆              ┆   ┆             ┆ f64         ┆             ┆ i64         │\n",
+       "╞═════════╪══════════════╪══════════════╪══════════════╪═══╪═════════════╪═════════════╪═════════════╪═════════════╡\n",
+       "│ 2023-01 ┆ 87454.011885 ┆ 991          ┆ 22958.350559 ┆ … ┆ 202.427329  ┆ 3.159364    ┆ 239         ┆ 3306        │\n",
+       "│ 2023-02 ┆ 145071.43064 ┆ 913          ┆ 18736.874206 ┆ … ┆ 116.173436  ┆ 1.812245    ┆ 124         ┆ 4680        │\n",
+       "│         ┆ 1            ┆              ┆              ┆   ┆             ┆             ┆             ┆             │\n",
+       "│ 2023-03 ┆ 123199.39418 ┆ 1305         ┆ 28355.586842 ┆ … ┆ 384.265156  ┆ 4.771414    ┆ 177         ┆ 4675        │\n",
+       "│         ┆ 1            ┆              ┆              ┆   ┆             ┆             ┆             ┆             │\n",
+       "│ 2023-04 ┆ 109865.84842 ┆ 885          ┆ 14184.81582  ┆ … ┆ 144.356328  ┆ 3.395462    ┆ 299         ┆ 2972        │\n",
+       "│ 2023-05 ┆ 65601.864044 ┆ 691          ┆ 18764.339456 ┆ … ┆ 275.734601  ┆ 3.77914     ┆ 296         ┆ 3768        │\n",
+       "└─────────┴──────────────┴──────────────┴──────────────┴───┴─────────────┴─────────────┴─────────────┴─────────────┘"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from metric_forge.ecommerce import * \n",
+    "import polars as pl\n",
+    "data = pl.read_csv('datasets/ecommerce_metrics.csv')\n",
+    "data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Customer Acquisition Cost"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (12, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>cost_of_acquisition</th><th>new_customers</th><th>customer_acquisition_cost</th></tr><tr><td>f64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>22958.350559</td><td>406</td><td>56.547661</td></tr><tr><td>18736.874206</td><td>234</td><td>80.072112</td></tr><tr><td>28355.586842</td><td>120</td><td>236.296557</td></tr><tr><td>14184.81582</td><td>428</td><td>33.142093</td></tr><tr><td>18764.339456</td><td>266</td><td>70.54263</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>33555.278842</td><td>188</td><td>178.485526</td></tr><tr><td>15990.213465</td><td>415</td><td>38.530635</td></tr><tr><td>25427.033152</td><td>113</td><td>225.017992</td></tr><tr><td>27772.437066</td><td>341</td><td>81.444097</td></tr><tr><td>11393.512382</td><td>364</td><td>31.300858</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (12, 3)\n",
+       "┌─────────────────────┬───────────────┬───────────────────────────┐\n",
+       "│ cost_of_acquisition ┆ new_customers ┆ customer_acquisition_cost │\n",
+       "│ ---                 ┆ ---           ┆ ---                       │\n",
+       "│ f64                 ┆ i64           ┆ f64                       │\n",
+       "╞═════════════════════╪═══════════════╪═══════════════════════════╡\n",
+       "│ 22958.350559        ┆ 406           ┆ 56.547661                 │\n",
+       "│ 18736.874206        ┆ 234           ┆ 80.072112                 │\n",
+       "│ 28355.586842        ┆ 120           ┆ 236.296557                │\n",
+       "│ 14184.81582         ┆ 428           ┆ 33.142093                 │\n",
+       "│ 18764.339456        ┆ 266           ┆ 70.54263                  │\n",
+       "│ …                   ┆ …             ┆ …                         │\n",
+       "│ 33555.278842        ┆ 188           ┆ 178.485526                │\n",
+       "│ 15990.213465        ┆ 415           ┆ 38.530635                 │\n",
+       "│ 25427.033152        ┆ 113           ┆ 225.017992                │\n",
+       "│ 27772.437066        ┆ 341           ┆ 81.444097                 │\n",
+       "│ 11393.512382        ┆ 364           ┆ 31.300858                 │\n",
+       "└─────────────────────┴───────────────┴───────────────────────────┘"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data.select(pl.col('cost_of_acquisition'),\n",
+    "            pl.col('new_customers'),\n",
+    "            pl.col('*').forge_ecommerce.customer_acquisition_cost('cost_of_acquisition', 'new_customers'))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Average Order Value"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (12, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>total_revenue</th><th>new_customers</th><th>average_order_value</th></tr><tr><td>f64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>87454.011885</td><td>406</td><td>88.248246</td></tr><tr><td>145071.430641</td><td>234</td><td>158.895324</td></tr><tr><td>123199.394181</td><td>120</td><td>94.405666</td></tr><tr><td>109865.84842</td><td>428</td><td>124.142202</td></tr><tr><td>65601.864044</td><td>266</td><td>94.937575</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>136617.614577</td><td>188</td><td>206.996386</td></tr><tr><td>110111.501174</td><td>415</td><td>114.819084</td></tr><tr><td>120807.25778</td><td>113</td><td>148.594413</td></tr><tr><td>52058.44943</td><td>341</td><td>99.920248</td></tr><tr><td>146990.985216</td><td>364</td><td>195.466736</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (12, 3)\n",
+       "┌───────────────┬───────────────┬─────────────────────┐\n",
+       "│ total_revenue ┆ new_customers ┆ average_order_value │\n",
+       "│ ---           ┆ ---           ┆ ---                 │\n",
+       "│ f64           ┆ i64           ┆ f64                 │\n",
+       "╞═══════════════╪═══════════════╪═════════════════════╡\n",
+       "│ 87454.011885  ┆ 406           ┆ 88.248246           │\n",
+       "│ 145071.430641 ┆ 234           ┆ 158.895324          │\n",
+       "│ 123199.394181 ┆ 120           ┆ 94.405666           │\n",
+       "│ 109865.84842  ┆ 428           ┆ 124.142202          │\n",
+       "│ 65601.864044  ┆ 266           ┆ 94.937575           │\n",
+       "│ …             ┆ …             ┆ …                   │\n",
+       "│ 136617.614577 ┆ 188           ┆ 206.996386          │\n",
+       "│ 110111.501174 ┆ 415           ┆ 114.819084          │\n",
+       "│ 120807.25778  ┆ 113           ┆ 148.594413          │\n",
+       "│ 52058.44943   ┆ 341           ┆ 99.920248           │\n",
+       "│ 146990.985216 ┆ 364           ┆ 195.466736          │\n",
+       "└───────────────┴───────────────┴─────────────────────┘"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data.select(pl.col('total_revenue'),\n",
+    "            pl.col('new_customers'),\n",
+    "            pl.col('*').forge_ecommerce.average_order_value('total_revenue', 'number_of_orders'))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Cart Abandonment Rate"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (12, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>carts_created</th><th>completed_purchases</th><th>cart_abandonment_rate</th></tr><tr><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>1969</td><td>1425</td><td>27.628238</td></tr><tr><td>1506</td><td>1421</td><td>5.64409</td></tr><tr><td>1497</td><td>965</td><td>35.537742</td></tr><tr><td>1963</td><td>1102</td><td>43.861437</td></tr><tr><td>1009</td><td>801</td><td>20.61447</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>1108</td><td>601</td><td>45.758123</td></tr><tr><td>1975</td><td>1395</td><td>29.367089</td></tr><tr><td>800</td><td>669</td><td>16.375</td></tr><tr><td>2005</td><td>1215</td><td>39.401496</td></tr><tr><td>1704</td><td>855</td><td>49.823944</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (12, 3)\n",
+       "┌───────────────┬─────────────────────┬───────────────────────┐\n",
+       "│ carts_created ┆ completed_purchases ┆ cart_abandonment_rate │\n",
+       "│ ---           ┆ ---                 ┆ ---                   │\n",
+       "│ i64           ┆ i64                 ┆ f64                   │\n",
+       "╞═══════════════╪═════════════════════╪═══════════════════════╡\n",
+       "│ 1969          ┆ 1425                ┆ 27.628238             │\n",
+       "│ 1506          ┆ 1421                ┆ 5.64409               │\n",
+       "│ 1497          ┆ 965                 ┆ 35.537742             │\n",
+       "│ 1963          ┆ 1102                ┆ 43.861437             │\n",
+       "│ 1009          ┆ 801                 ┆ 20.61447              │\n",
+       "│ …             ┆ …                   ┆ …                     │\n",
+       "│ 1108          ┆ 601                 ┆ 45.758123             │\n",
+       "│ 1975          ┆ 1395                ┆ 29.367089             │\n",
+       "│ 800           ┆ 669                 ┆ 16.375                │\n",
+       "│ 2005          ┆ 1215                ┆ 39.401496             │\n",
+       "│ 1704          ┆ 855                 ┆ 49.823944             │\n",
+       "└───────────────┴─────────────────────┴───────────────────────┘"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data.select(pl.col('carts_created'),\n",
+    "            pl.col('completed_purchases'),\n",
+    "            pl.col('*').forge_ecommerce.cart_abandonment_rate('carts_created', 'completed_purchases'))\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Return on Advertising Spend"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (12, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>revenue_from_ads</th><th>advertising_spend</th><th>return_on_advertising_spend</th></tr><tr><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>81339.957696</td><td>5390.910169</td><td>15.088353</td></tr><tr><td>76875.083402</td><td>15585.037018</td><td>4.932621</td></tr><tr><td>116505.482191</td><td>14872.037954</td><td>7.833861</td></tr><tr><td>106008.046381</td><td>12337.204368</td><td>8.59255</td></tr><tr><td>97258.809912</td><td>5351.995568</td><td>18.172438</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>116872.977654</td><td>24754.388513</td><td>4.721303</td></tr><tr><td>84633.082292</td><td>20148.99937</td><td>4.200362</td></tr><tr><td>54839.926382</td><td>28157.521963</td><td>1.947612</td></tr><tr><td>56664.615513</td><td>21276.925638</td><td>2.663196</td></tr><tr><td>44874.024516</td><td>27873.991889</td><td>1.609889</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (12, 3)\n",
+       "┌──────────────────┬───────────────────┬─────────────────────────────┐\n",
+       "│ revenue_from_ads ┆ advertising_spend ┆ return_on_advertising_spend │\n",
+       "│ ---              ┆ ---               ┆ ---                         │\n",
+       "│ f64              ┆ f64               ┆ f64                         │\n",
+       "╞══════════════════╪═══════════════════╪═════════════════════════════╡\n",
+       "│ 81339.957696     ┆ 5390.910169       ┆ 15.088353                   │\n",
+       "│ 76875.083402     ┆ 15585.037018      ┆ 4.932621                    │\n",
+       "│ 116505.482191    ┆ 14872.037954      ┆ 7.833861                    │\n",
+       "│ 106008.046381    ┆ 12337.204368      ┆ 8.59255                     │\n",
+       "│ 97258.809912     ┆ 5351.995568       ┆ 18.172438                   │\n",
+       "│ …                ┆ …                 ┆ …                           │\n",
+       "│ 116872.977654    ┆ 24754.388513      ┆ 4.721303                    │\n",
+       "│ 84633.082292     ┆ 20148.99937       ┆ 4.200362                    │\n",
+       "│ 54839.926382     ┆ 28157.521963      ┆ 1.947612                    │\n",
+       "│ 56664.615513     ┆ 21276.925638      ┆ 2.663196                    │\n",
+       "│ 44874.024516     ┆ 27873.991889      ┆ 1.609889                    │\n",
+       "└──────────────────┴───────────────────┴─────────────────────────────┘"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data.select(pl.col('revenue_from_ads'),\n",
+    "            pl.col('advertising_spend'),\n",
+    "            pl.col('*').forge_ecommerce.return_on_advertising_spend('revenue_from_ads', 'advertising_spend'))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Conversion Rate"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (12, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>num_conversions</th><th>num_visitors</th><th>conversion_rate</th></tr><tr><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>300</td><td>13154</td><td>2.280675</td></tr><tr><td>427</td><td>14762</td><td>2.892562</td></tr><tr><td>367</td><td>10056</td><td>3.649562</td></tr><tr><td>132</td><td>19948</td><td>0.66172</td></tr><tr><td>147</td><td>13110</td><td>1.121281</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>392</td><td>8840</td><td>4.434389</td></tr><tr><td>198</td><td>6028</td><td>3.284672</td></tr><tr><td>271</td><td>12385</td><td>2.188131</td></tr><tr><td>459</td><td>5502</td><td>8.342421</td></tr><tr><td>313</td><td>11910</td><td>2.628044</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (12, 3)\n",
+       "┌─────────────────┬──────────────┬─────────────────┐\n",
+       "│ num_conversions ┆ num_visitors ┆ conversion_rate │\n",
+       "│ ---             ┆ ---          ┆ ---             │\n",
+       "│ i64             ┆ i64          ┆ f64             │\n",
+       "╞═════════════════╪══════════════╪═════════════════╡\n",
+       "│ 300             ┆ 13154        ┆ 2.280675        │\n",
+       "│ 427             ┆ 14762        ┆ 2.892562        │\n",
+       "│ 367             ┆ 10056        ┆ 3.649562        │\n",
+       "│ 132             ┆ 19948        ┆ 0.66172         │\n",
+       "│ 147             ┆ 13110        ┆ 1.121281        │\n",
+       "│ …               ┆ …            ┆ …               │\n",
+       "│ 392             ┆ 8840         ┆ 4.434389        │\n",
+       "│ 198             ┆ 6028         ┆ 3.284672        │\n",
+       "│ 271             ┆ 12385        ┆ 2.188131        │\n",
+       "│ 459             ┆ 5502         ┆ 8.342421        │\n",
+       "│ 313             ┆ 11910        ┆ 2.628044        │\n",
+       "└─────────────────┴──────────────┴─────────────────┘"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data.select(pl.col('num_conversions'),\n",
+    "            pl.col('num_visitors'),\n",
+    "            pl.col('*').forge_ecommerce.conversion_rate('num_conversions', 'num_visitors'))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Customer Lifetime Value"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (12, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>revenue_per_customer</th><th>average_customer_lifetime</th><th>customer_lifetime_value</th></tr><tr><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>202.427329</td><td>3.159364</td><td>639.54169</td></tr><tr><td>116.173436</td><td>1.812245</td><td>210.534716</td></tr><tr><td>384.265156</td><td>4.771414</td><td>1833.488253</td></tr><tr><td>144.356328</td><td>3.395462</td><td>490.156408</td></tr><tr><td>275.734601</td><td>3.77914</td><td>1042.039585</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>290.148089</td><td>2.182535</td><td>633.258286</td></tr><tr><td>325.310229</td><td>1.421977</td><td>462.583676</td></tr><tr><td>378.206435</td><td>2.826138</td><td>1068.863683</td></tr><tr><td>155.732582</td><td>1.873762</td><td>291.805755</td></tr><tr><td>341.766952</td><td>2.66604</td><td>911.164293</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (12, 3)\n",
+       "┌──────────────────────┬───────────────────────────┬─────────────────────────┐\n",
+       "│ revenue_per_customer ┆ average_customer_lifetime ┆ customer_lifetime_value │\n",
+       "│ ---                  ┆ ---                       ┆ ---                     │\n",
+       "│ f64                  ┆ f64                       ┆ f64                     │\n",
+       "╞══════════════════════╪═══════════════════════════╪═════════════════════════╡\n",
+       "│ 202.427329           ┆ 3.159364                  ┆ 639.54169               │\n",
+       "│ 116.173436           ┆ 1.812245                  ┆ 210.534716              │\n",
+       "│ 384.265156           ┆ 4.771414                  ┆ 1833.488253             │\n",
+       "│ 144.356328           ┆ 3.395462                  ┆ 490.156408              │\n",
+       "│ 275.734601           ┆ 3.77914                   ┆ 1042.039585             │\n",
+       "│ …                    ┆ …                         ┆ …                       │\n",
+       "│ 290.148089           ┆ 2.182535                  ┆ 633.258286              │\n",
+       "│ 325.310229           ┆ 1.421977                  ┆ 462.583676              │\n",
+       "│ 378.206435           ┆ 2.826138                  ┆ 1068.863683             │\n",
+       "│ 155.732582           ┆ 1.873762                  ┆ 291.805755              │\n",
+       "│ 341.766952           ┆ 2.66604                   ┆ 911.164293              │\n",
+       "└──────────────────────┴───────────────────────────┴─────────────────────────┘"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data.select(pl.col('revenue_per_customer'),\n",
+    "            pl.col('average_customer_lifetime'),\n",
+    "            pl.col('*').forge_ecommerce.customer_lifetime_value(revenue_per_customer_column='revenue_per_customer',average_customer_lifetime_column='average_customer_lifetime',method='basic'))"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/finance.ipynb b/notebooks/finance.ipynb
new file mode 100644
index 0000000..eb86b05
--- /dev/null
+++ b/notebooks/finance.ipynb
@@ -0,0 +1,300 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Finance\n",
+    "\n",
+    "The Finance module contains financial statement objects that you can call certain methods off of to get key financial metrics. You need to define these objects prior to running calcuations. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Financial Statement Objects"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<h2>Income Statement</h2>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (5, 49)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>date</th><th>Tax Effect Of Unusual Items</th><th>Tax Rate For Calcs</th><th>Normalized EBITDA</th><th>Total Unusual Items</th><th>Total Unusual Items Excluding Goodwill</th><th>Net Income From Continuing Operation Net Minority Interest</th><th>Reconciled Depreciation</th><th>Reconciled Cost Of Revenue</th><th>EBITDA</th><th>EBIT</th><th>Net Interest Income</th><th>Interest Expense</th><th>Interest Income</th><th>Normalized Income</th><th>Net Income From Continuing And Discontinued Operation</th><th>Total Expenses</th><th>Total Operating Income As Reported</th><th>Diluted Average Shares</th><th>Basic Average Shares</th><th>Diluted EPS</th><th>Basic EPS</th><th>Diluted NI Availto Com Stockholders</th><th>Net Income Common Stockholders</th><th>Net Income</th><th>Net Income Including Noncontrolling Interests</th><th>Net Income Continuous Operations</th><th>Tax Provision</th><th>Pretax Income</th><th>Other Income Expense</th><th>Other Non Operating Income Expenses</th><th>Special Income Charges</th><th>Other Special Charges</th><th>Restructuring And Mergern Acquisition</th><th>Earnings From Equity Interest</th><th>Net Non Operating Interest Income Expense</th><th>Interest Expense Non Operating</th><th>Interest Income Non Operating</th><th>Operating Income</th><th>Operating Expense</th><th>Depreciation Amortization Depletion Income Statement</th><th>Depreciation And Amortization In Income Statement</th><th>Selling General And Administration</th><th>General And Administrative Expense</th><th>Other Gand A</th><th>Gross Profit</th><th>Cost Of Revenue</th><th>Total Revenue</th><th>Operating Revenue</th></tr><tr><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>&quot;2023-12-31 00:00:00&quot;</td><td>-5.22e6</td><td>0.087</td><td>4.2800e9</td><td>-6e7</td><td>-6e7</td><td>3.0830e9</td><td>2.77e8</td><td>1.8501e10</td><td>4.2200e9</td><td>3.9430e9</td><td>-5.3500e8</td><td>5.65e8</td><td>3e7</td><td>3.1378e9</td><td>3.0830e9</td><td>1.9789e10</td><td>3.8640e9</td><td>3.029e8</td><td>3.015e8</td><td>10.18</td><td>10.23</td><td>3.0830e9</td><td>3.0830e9</td><td>3.0830e9</td><td>3.0830e9</td><td>3.0830e9</td><td>2.95e8</td><td>3.3780e9</td><td>-1.1e7</td><td>4e7</td><td>-6e7</td><td>null</td><td>6e7</td><td>9e6</td><td>-5.3500e8</td><td>5.65e8</td><td>3e7</td><td>3.9240e9</td><td>1.2000e9</td><td>1.89e8</td><td>1.89e8</td><td>1.0110e9</td><td>1.0110e9</td><td>1.0110e9</td><td>5.1240e9</td><td>1.8589e10</td><td>2.3713e10</td><td>6.3880e9</td></tr><tr><td>&quot;2022-12-31 00:00:00&quot;</td><td>-2.916e6</td><td>0.243</td><td>3.8110e9</td><td>-1.2e7</td><td>-1.2e7</td><td>2.3580e9</td><td>2.82e8</td><td>1.6126e10</td><td>3.7990e9</td><td>3.5170e9</td><td>-3.7700e8</td><td>4.03e8</td><td>2.6e7</td><td>2.3671e9</td><td>2.3580e9</td><td>1.7299e10</td><td>3.4620e9</td><td>3.258e8</td><td>3.244e8</td><td>7.24</td><td>7.27</td><td>2.3580e9</td><td>2.3580e9</td><td>2.3580e9</td><td>2.3580e9</td><td>2.3580e9</td><td>7.56e8</td><td>3.1140e9</td><td>1.7e7</td><td>1.1e7</td><td>-1.2e7</td><td>null</td><td>1.2e7</td><td>1.8e7</td><td>-3.7700e8</td><td>4.03e8</td><td>2.6e7</td><td>3.4740e9</td><td>1.0840e9</td><td>1.93e8</td><td>1.93e8</td><td>8.91e8</td><td>8.91e8</td><td>8.91e8</td><td>4.5580e9</td><td>1.6215e10</td><td>2.0773e10</td><td>5.4450e9</td></tr><tr><td>&quot;2021-12-31 00:00:00&quot;</td><td>-1.1696e7</td><td>0.068</td><td>2.0670e9</td><td>-1.7200e8</td><td>-1.7200e8</td><td>1.0990e9</td><td>2.95e8</td><td>1.0981e10</td><td>1.8950e9</td><td>1.6000e9</td><td>-3.9200e8</td><td>4.2e8</td><td>2.8e7</td><td>1.2593e9</td><td>1.0990e9</td><td>1.2099e10</td><td>1.7500e9</td><td>3.293e8</td><td>3.272e8</td><td>3.34</td><td>3.36</td><td>1.0990e9</td><td>1.0990e9</td><td>1.0990e9</td><td>1.0990e9</td><td>1.0990e9</td><td>8.1e7</td><td>1.1800e9</td><td>-1.8600e8</td><td>1e7</td><td>-1.7200e8</td><td>1.64e8</td><td>8e6</td><td>-2.4e7</td><td>-3.9200e8</td><td>4.2e8</td><td>2.8e7</td><td>1.7580e9</td><td>1.0430e9</td><td>2.2e8</td><td>2.2e8</td><td>8.23e8</td><td>8.23e8</td><td>8.23e8</td><td>2.8010e9</td><td>1.1056e10</td><td>1.3857e10</td><td>3.4900e9</td></tr><tr><td>&quot;2020-12-31 00:00:00&quot;</td><td>-7.209e7</td><td>0.27</td><td>7.24e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>4.78e8</td><td>8.9800e9</td><td>4.57e8</td><td>-2.1e7</td><td>-4.1800e8</td><td>4.45e8</td><td>2.7e7</td><td>-7.209e7</td><td>-2.6700e8</td><td>1.0220e10</td><td>8.4e7</td><td>3.258e8</td><td>3.258e8</td><td>-0.82</td><td>-0.82</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-1.9900e8</td><td>-4.6600e8</td><td>-3.9900e8</td><td>9e6</td><td>-2.6700e8</td><td>null</td><td>2.67e8</td><td>-1.4100e8</td><td>-4.1800e8</td><td>4.45e8</td><td>2.7e7</td><td>3.51e8</td><td>1.1080e9</td><td>3.46e8</td><td>3.46e8</td><td>7.62e8</td><td>7.62e8</td><td>7.62e8</td><td>1.4590e9</td><td>9.1120e9</td><td>1.0571e10</td><td>2.1190e9</td></tr><tr><td>&quot;2019-12-31 00:00:00&quot;</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>-1.5400e8</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (5, 49)\n",
+       "┌─────────────┬─────────────┬─────────────┬─────────────┬───┬─────────────┬─────────────┬─────────────┬────────────┐\n",
+       "│ date        ┆ Tax Effect  ┆ Tax Rate    ┆ Normalized  ┆ … ┆ Gross       ┆ Cost Of     ┆ Total       ┆ Operating  │\n",
+       "│ ---         ┆ Of Unusual  ┆ For Calcs   ┆ EBITDA      ┆   ┆ Profit      ┆ Revenue     ┆ Revenue     ┆ Revenue    │\n",
+       "│ str         ┆ Items       ┆ ---         ┆ ---         ┆   ┆ ---         ┆ ---         ┆ ---         ┆ ---        │\n",
+       "│             ┆ ---         ┆ f64         ┆ f64         ┆   ┆ f64         ┆ f64         ┆ f64         ┆ f64        │\n",
+       "│             ┆ f64         ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
+       "╞═════════════╪═════════════╪═════════════╪═════════════╪═══╪═════════════╪═════════════╪═════════════╪════════════╡\n",
+       "│ 2023-12-31  ┆ -5.22e6     ┆ 0.087       ┆ 4.2800e9    ┆ … ┆ 5.1240e9    ┆ 1.8589e10   ┆ 2.3713e10   ┆ 6.3880e9   │\n",
+       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
+       "│ 2022-12-31  ┆ -2.916e6    ┆ 0.243       ┆ 3.8110e9    ┆ … ┆ 4.5580e9    ┆ 1.6215e10   ┆ 2.0773e10   ┆ 5.4450e9   │\n",
+       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
+       "│ 2021-12-31  ┆ -1.1696e7   ┆ 0.068       ┆ 2.0670e9    ┆ … ┆ 2.8010e9    ┆ 1.1056e10   ┆ 1.3857e10   ┆ 3.4900e9   │\n",
+       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
+       "│ 2020-12-31  ┆ -7.209e7    ┆ 0.27        ┆ 7.24e8      ┆ … ┆ 1.4590e9    ┆ 9.1120e9    ┆ 1.0571e10   ┆ 2.1190e9   │\n",
+       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
+       "│ 2019-12-31  ┆ null        ┆ null        ┆ null        ┆ … ┆ null        ┆ null        ┆ null        ┆ null       │\n",
+       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
+       "└─────────────┴─────────────┴─────────────┴─────────────┴───┴─────────────┴─────────────┴─────────────┴────────────┘"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<h2>Balance Sheet</h2>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (5, 69)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>date</th><th>Ordinary Shares Number</th><th>Share Issued</th><th>Net Debt</th><th>Total Debt</th><th>Tangible Book Value</th><th>Invested Capital</th><th>Working Capital</th><th>Net Tangible Assets</th><th>Capital Lease Obligations</th><th>Common Stock Equity</th><th>Total Capitalization</th><th>Total Equity Gross Minority Interest</th><th>Stockholders Equity</th><th>Gains Losses Not Affecting Retained Earnings</th><th>Other Equity Adjustments</th><th>Treasury Stock</th><th>Retained Earnings</th><th>Additional Paid In Capital</th><th>Capital Stock</th><th>Common Stock</th><th>Total Liabilities Net Minority Interest</th><th>Total Non Current Liabilities Net Minority Interest</th><th>Other Non Current Liabilities</th><th>Non Current Deferred Liabilities</th><th>Non Current Deferred Revenue</th><th>Non Current Deferred Taxes Liabilities</th><th>Long Term Debt And Capital Lease Obligation</th><th>Long Term Capital Lease Obligation</th><th>Long Term Debt</th><th>Current Liabilities</th><th>Other Current Liabilities</th><th>Current Debt And Capital Lease Obligation</th><th>Current Debt</th><th>Payables And Accrued Expenses</th><th>Current Accrued Expenses</th><th>Payables</th><th>Accounts Payable</th><th>Total Assets</th><th>Total Non Current Assets</th><th>Other Non Current Assets</th><th>Non Current Deferred Assets</th><th>Non Current Deferred Taxes Assets</th><th>Non Current Note Receivables</th><th>Investments And Advances</th><th>Long Term Equity Investment</th><th>Goodwill And Other Intangible Assets</th><th>Other Intangible Assets</th><th>Goodwill</th><th>Net PPE</th><th>Accumulated Depreciation</th><th>Gross PPE</th><th>Construction In Progress</th><th>Other Properties</th><th>Machinery Furniture Equipment</th><th>Buildings And Improvements</th><th>Land And Improvements</th><th>Properties</th><th>Current Assets</th><th>Other Current Assets</th><th>Assets Held For Sale Current</th><th>Prepaid Assets</th><th>Receivables</th><th>Accounts Receivable</th><th>Allowance For Doubtful Accounts Receivable</th><th>Gross Accounts Receivable</th><th>Cash Cash Equivalents And Short Term Investments</th><th>Cash And Cash Equivalents</th><th>Cash Financial</th></tr><tr><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>&quot;2023-12-31 00:00:00&quot;</td><td>2.90539975e8</td><td>2.90539975e8</td><td>1.1535e10</td><td>1.2760e10</td><td>-1.8758e10</td><td>1.1191e10</td><td>-4.4510e9</td><td>-1.8758e10</td><td>8.87e8</td><td>-6.8200e8</td><td>1.0638e10</td><td>-6.8200e8</td><td>-6.8200e8</td><td>-6.4700e8</td><td>-6.4700e8</td><td>2.0929e10</td><td>1.4838e10</td><td>6.0510e9</td><td>5e6</td><td>5e6</td><td>2.6356e10</td><td>1.8594e10</td><td>5.1600e9</td><td>1.2270e9</td><td>1.0180e9</td><td>2.09e8</td><td>1.2207e10</td><td>8.87e8</td><td>1.1320e10</td><td>7.7620e9</td><td>3.3280e9</td><td>5.53e8</td><td>5.53e8</td><td>3.8810e9</td><td>3.1430e9</td><td>7.38e8</td><td>7.38e8</td><td>2.5674e10</td><td>2.2363e10</td><td>6.58e8</td><td>6.73e8</td><td>6.73e8</td><td>1.38e8</td><td>3.08e8</td><td>3.08e8</td><td>1.8076e10</td><td>9.1900e9</td><td>8.8860e9</td><td>2.5100e9</td><td>-8.9000e8</td><td>3.4000e9</td><td>7.2e7</td><td>9.29e8</td><td>6.22e8</td><td>1.1080e9</td><td>6.69e8</td><td>0.0</td><td>3.3110e9</td><td>2.61e8</td><td>null</td><td>null</td><td>2.7120e9</td><td>2.7120e9</td><td>-1.9700e8</td><td>2.9090e9</td><td>3.38e8</td><td>3.38e8</td><td>null</td></tr><tr><td>&quot;2022-12-31 00:00:00&quot;</td><td>3.106e8</td><td>3.106e8</td><td>9.5570e9</td><td>1.1098e10</td><td>-1.7051e10</td><td>1.0632e10</td><td>-4.0260e9</td><td>-1.7051e10</td><td>1.0340e9</td><td>5.68e8</td><td>9.9480e9</td><td>5.68e8</td><td>5.68e8</td><td>-7.2900e8</td><td>-7.2900e8</td><td>1.7015e10</td><td>1.2342e10</td><td>5.9650e9</td><td>5e6</td><td>5e6</td><td>2.4247e10</td><td>1.6908e10</td><td>5.1220e9</td><td>1.3720e9</td><td>1.0590e9</td><td>3.13e8</td><td>1.0414e10</td><td>1.0340e9</td><td>9.3800e9</td><td>7.3390e9</td><td>3.3140e9</td><td>6.84e8</td><td>6.84e8</td><td>3.3410e9</td><td>2.5950e9</td><td>7.46e8</td><td>7.46e8</td><td>2.4815e10</td><td>2.1502e10</td><td>5.84e8</td><td>2.4e8</td><td>2.4e8</td><td>1.52e8</td><td>3.35e8</td><td>3.35e8</td><td>1.7619e10</td><td>8.7470e9</td><td>8.8720e9</td><td>2.5720e9</td><td>-8.7400e8</td><td>3.4460e9</td><td>3.6e7</td><td>9.87e8</td><td>6.49e8</td><td>1.0860e9</td><td>6.88e8</td><td>0.0</td><td>3.3130e9</td><td>2.35e8</td><td>null</td><td>null</td><td>2.5710e9</td><td>2.5710e9</td><td>-1.9100e8</td><td>2.7620e9</td><td>5.07e8</td><td>5.07e8</td><td>null</td></tr><tr><td>&quot;2021-12-31 00:00:00&quot;</td><td>3.273e8</td><td>3.273e8</td><td>8.7450e9</td><td>1.1236e10</td><td>-1.6585e10</td><td>1.1552e10</td><td>-2.7810e9</td><td>-1.6585e10</td><td>1.0980e9</td><td>1.4140e9</td><td>1.0747e10</td><td>1.4140e9</td><td>1.4140e9</td><td>-3.4200e8</td><td>-3.4200e8</td><td>1.4446e10</td><td>1.0305e10</td><td>5.8920e9</td><td>5e6</td><td>5e6</td><td>2.4139e10</td><td>1.7732e10</td><td>5.9510e9</td><td>1.3500e9</td><td>1.1810e9</td><td>1.69e8</td><td>1.0431e10</td><td>1.0980e9</td><td>9.3330e9</td><td>6.4070e9</td><td>2.5220e9</td><td>8.05e8</td><td>8.05e8</td><td>3.0800e9</td><td>2.3540e9</td><td>7.26e8</td><td>7.26e8</td><td>2.5553e10</td><td>2.1927e10</td><td>6.04e8</td><td>2.28e8</td><td>2.28e8</td><td>1.44e8</td><td>3.87e8</td><td>3.87e8</td><td>1.7999e10</td><td>8.9260e9</td><td>9.0730e9</td><td>2.5650e9</td><td>-8.5000e8</td><td>3.4150e9</td><td>1.37e8</td><td>1.0620e9</td><td>5.45e8</td><td>9.85e8</td><td>6.86e8</td><td>0.0</td><td>3.6260e9</td><td>2.51e8</td><td>null</td><td>2.51e8</td><td>1.9820e9</td><td>1.9820e9</td><td>-1.8700e8</td><td>2.1690e9</td><td>1.3930e9</td><td>1.3930e9</td><td>null</td></tr><tr><td>&quot;2020-12-31 00:00:00&quot;</td><td>3.244e8</td><td>3.244e8</td><td>9.4990e9</td><td>1.1199e10</td><td>-1.7734e10</td><td>1.0806e10</td><td>-2.9270e9</td><td>-1.7734e10</td><td>8.23e8</td><td>4.3e8</td><td>9.6330e9</td><td>4.3e8</td><td>4.3e8</td><td>-1.3500e8</td><td>-1.3500e8</td><td>1.4497e10</td><td>9.2060e9</td><td>5.8510e9</td><td>5e6</td><td>5e6</td><td>2.4271e10</td><td>1.8519e10</td><td>6.8680e9</td><td>1.6250e9</td><td>1.5420e9</td><td>8.3e7</td><td>1.0026e10</td><td>8.23e8</td><td>9.2030e9</td><td>5.7520e9</td><td>1.7690e9</td><td>1.1730e9</td><td>1.1730e9</td><td>2.8100e9</td><td>2.2830e9</td><td>5.27e8</td><td>5.27e8</td><td>2.4701e10</td><td>2.1876e10</td><td>6.16e8</td><td>2.49e8</td><td>2.49e8</td><td>1.59e8</td><td>4.22e8</td><td>null</td><td>1.8164e10</td><td>8.9890e9</td><td>9.1750e9</td><td>2.2660e9</td><td>-8.8800e8</td><td>3.1540e9</td><td>2.9e7</td><td>7.52e8</td><td>6.4e8</td><td>1.0450e9</td><td>6.88e8</td><td>0.0</td><td>2.8250e9</td><td>1.8e8</td><td>8e6</td><td>1.8e8</td><td>1.7680e9</td><td>1.7680e9</td><td>null</td><td>null</td><td>8.77e8</td><td>8.77e8</td><td>null</td></tr><tr><td>&quot;2019-12-31 00:00:00&quot;</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>2.55e8</td><td>2.52e8</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>2.25e8</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (5, 69)\n",
+       "┌──────────────┬─────────────┬─────────────┬───────────┬───┬─────────────┬─────────────┬─────────────┬─────────────┐\n",
+       "│ date         ┆ Ordinary    ┆ Share       ┆ Net Debt  ┆ … ┆ Gross       ┆ Cash Cash   ┆ Cash And    ┆ Cash        │\n",
+       "│ ---          ┆ Shares      ┆ Issued      ┆ ---       ┆   ┆ Accounts    ┆ Equivalents ┆ Cash        ┆ Financial   │\n",
+       "│ str          ┆ Number      ┆ ---         ┆ f64       ┆   ┆ Receivable  ┆ And Shor…   ┆ Equivalents ┆ ---         │\n",
+       "│              ┆ ---         ┆ f64         ┆           ┆   ┆ ---         ┆ ---         ┆ ---         ┆ f64         │\n",
+       "│              ┆ f64         ┆             ┆           ┆   ┆ f64         ┆ f64         ┆ f64         ┆             │\n",
+       "╞══════════════╪═════════════╪═════════════╪═══════════╪═══╪═════════════╪═════════════╪═════════════╪═════════════╡\n",
+       "│ 2023-12-31   ┆ 2.90539975e ┆ 2.90539975e ┆ 1.1535e10 ┆ … ┆ 2.9090e9    ┆ 3.38e8      ┆ 3.38e8      ┆ null        │\n",
+       "│ 00:00:00     ┆ 8           ┆ 8           ┆           ┆   ┆             ┆             ┆             ┆             │\n",
+       "│ 2022-12-31   ┆ 3.106e8     ┆ 3.106e8     ┆ 9.5570e9  ┆ … ┆ 2.7620e9    ┆ 5.07e8      ┆ 5.07e8      ┆ null        │\n",
+       "│ 00:00:00     ┆             ┆             ┆           ┆   ┆             ┆             ┆             ┆             │\n",
+       "│ 2021-12-31   ┆ 3.273e8     ┆ 3.273e8     ┆ 8.7450e9  ┆ … ┆ 2.1690e9    ┆ 1.3930e9    ┆ 1.3930e9    ┆ null        │\n",
+       "│ 00:00:00     ┆             ┆             ┆           ┆   ┆             ┆             ┆             ┆             │\n",
+       "│ 2020-12-31   ┆ 3.244e8     ┆ 3.244e8     ┆ 9.4990e9  ┆ … ┆ null        ┆ 8.77e8      ┆ 8.77e8      ┆ null        │\n",
+       "│ 00:00:00     ┆             ┆             ┆           ┆   ┆             ┆             ┆             ┆             │\n",
+       "│ 2019-12-31   ┆ null        ┆ null        ┆ null      ┆ … ┆ null        ┆ null        ┆ null        ┆ 2.25e8      │\n",
+       "│ 00:00:00     ┆             ┆             ┆           ┆   ┆             ┆             ┆             ┆             │\n",
+       "└──────────────┴─────────────┴─────────────┴───────────┴───┴─────────────┴─────────────┴─────────────┴─────────────┘"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<h2>Cash Flow</h2>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (5, 44)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>date</th><th>Free Cash Flow</th><th>Repurchase Of Capital Stock</th><th>Repayment Of Debt</th><th>Issuance Of Debt</th><th>Issuance Of Capital Stock</th><th>Capital Expenditure</th><th>End Cash Position</th><th>Beginning Cash Position</th><th>Changes In Cash</th><th>Financing Cash Flow</th><th>Cash Flow From Continuing Financing Activities</th><th>Net Other Financing Charges</th><th>Cash Dividends Paid</th><th>Common Stock Dividend Paid</th><th>Net Common Stock Issuance</th><th>Common Stock Payments</th><th>Common Stock Issuance</th><th>Net Issuance Payments Of Debt</th><th>Net Short Term Debt Issuance</th><th>Net Long Term Debt Issuance</th><th>Long Term Debt Payments</th><th>Long Term Debt Issuance</th><th>Investing Cash Flow</th><th>Cash Flow From Continuing Investing Activities</th><th>Net Other Investing Changes</th><th>Net Business Purchase And Sale</th><th>Sale Of Business</th><th>Purchase Of Business</th><th>Net PPE Purchase And Sale</th><th>Sale Of PPE</th><th>Capital Expenditure Reported</th><th>Operating Cash Flow</th><th>Cash Flow From Continuing Operating Activities</th><th>Change In Working Capital</th><th>Other Non Cash Items</th><th>Stock Based Compensation</th><th>Deferred Tax</th><th>Deferred Income Tax</th><th>Depreciation Amortization Depletion</th><th>Depreciation And Amortization</th><th>Depreciation</th><th>Operating Gains Losses</th><th>Net Income From Continuing Operations</th></tr><tr><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>&quot;2023-12-31 00:00:00&quot;</td><td>2.7180e9</td><td>-3.9530e9</td><td>-6.8400e8</td><td>1.9180e9</td><td>2.9e7</td><td>-4.5200e8</td><td>3.66e8</td><td>5.25e8</td><td>-1.5900e8</td><td>-2.8640e9</td><td>-2.8640e9</td><td>-1.3300e8</td><td>-5.8700e8</td><td>-5.8700e8</td><td>-3.9240e9</td><td>-3.9530e9</td><td>2.9e7</td><td>1.7800e9</td><td>5.46e8</td><td>1.2340e9</td><td>-6.8400e8</td><td>1.9180e9</td><td>-4.6500e8</td><td>-4.6500e8</td><td>1.7e7</td><td>-1.0100e8</td><td>null</td><td>-1.0100e8</td><td>7.1e7</td><td>7.1e7</td><td>-4.5200e8</td><td>3.1700e9</td><td>3.1700e9</td><td>6.9e7</td><td>1.48e8</td><td>2.05e8</td><td>-6.1200e8</td><td>-6.1200e8</td><td>2.77e8</td><td>2.77e8</td><td>2.77e8</td><td>null</td><td>3.0830e9</td></tr><tr><td>&quot;2022-12-31 00:00:00&quot;</td><td>2.0310e9</td><td>-2.5660e9</td><td>-8.0400e8</td><td>9.83e8</td><td>0.0</td><td>-3.3200e8</td><td>5.25e8</td><td>1.4210e9</td><td>-8.9600e8</td><td>-2.9620e9</td><td>-2.9620e9</td><td>-7.2e7</td><td>-3.2100e8</td><td>-3.2100e8</td><td>-2.5660e9</td><td>-2.5660e9</td><td>0.0</td><td>-3e6</td><td>-1.8200e8</td><td>1.79e8</td><td>-8.0400e8</td><td>9.83e8</td><td>-2.9700e8</td><td>-2.9700e8</td><td>3.4e7</td><td>0.0</td><td>null</td><td>0.0</td><td>1e6</td><td>1e6</td><td>-3.3200e8</td><td>2.3630e9</td><td>2.3630e9</td><td>-5.4200e8</td><td>-2.0700e8</td><td>1.92e8</td><td>2.8e8</td><td>2.8e8</td><td>2.82e8</td><td>2.82e8</td><td>2.82e8</td><td>null</td><td>2.3580e9</td></tr><tr><td>&quot;2021-12-31 00:00:00&quot;</td><td>9.94e8</td><td>0.0</td><td>-2.1740e9</td><td>1.7930e9</td><td>2e6</td><td>-1.8300e8</td><td>1.4210e9</td><td>8.94e8</td><td>5.27e8</td><td>-4.6300e8</td><td>-4.6300e8</td><td>-2.3400e8</td><td>0.0</td><td>0.0</td><td>2e6</td><td>0.0</td><td>2e6</td><td>-2.3100e8</td><td>1.5e8</td><td>-3.8100e8</td><td>-2.1740e9</td><td>1.7930e9</td><td>-1.8700e8</td><td>-1.8700e8</td><td>-1.6e7</td><td>0.0</td><td>null</td><td>0.0</td><td>1.2e7</td><td>1.2e7</td><td>-1.8300e8</td><td>1.1770e9</td><td>1.1770e9</td><td>1.1e8</td><td>-3.9200e8</td><td>1.82e8</td><td>-2.8100e8</td><td>-2.8100e8</td><td>2.95e8</td><td>2.95e8</td><td>2.95e8</td><td>1.64e8</td><td>1.0990e9</td></tr><tr><td>&quot;2020-12-31 00:00:00&quot;</td><td>1.5040e9</td><td>-1.5000e8</td><td>-1.8870e9</td><td>3.5610e9</td><td>0.0</td><td>-1.3500e8</td><td>8.94e8</td><td>2.53e8</td><td>6.41e8</td><td>-1.0330e9</td><td>-1.0330e9</td><td>-1.1100e8</td><td>-1.5600e8</td><td>-1.5600e8</td><td>-1.5000e8</td><td>-1.5000e8</td><td>0.0</td><td>-6.1600e8</td><td>-2.2900e9</td><td>1.6740e9</td><td>-1.8870e9</td><td>3.5610e9</td><td>3.5e7</td><td>3.5e7</td><td>-9e7</td><td>2.6e8</td><td>2.6e8</td><td>null</td><td>2.6e8</td><td>2.6e8</td><td>-1.3500e8</td><td>1.6390e9</td><td>1.6390e9</td><td>-2.8e7</td><td>1.7300e9</td><td>2.01e8</td><td>-4.7800e8</td><td>-4.7800e8</td><td>4.78e8</td><td>4.78e8</td><td>4.78e8</td><td>3e6</td><td>-2.6700e8</td></tr><tr><td>&quot;2019-12-31 00:00:00&quot;</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>3.95e8</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>-1.4700e8</td><td>null</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (5, 44)\n",
+       "┌─────────────┬─────────────┬─────────────┬─────────────┬───┬─────────────┬─────────────┬─────────────┬────────────┐\n",
+       "│ date        ┆ Free Cash   ┆ Repurchase  ┆ Repayment   ┆ … ┆ Depreciatio ┆ Depreciatio ┆ Operating   ┆ Net Income │\n",
+       "│ ---         ┆ Flow        ┆ Of Capital  ┆ Of Debt     ┆   ┆ n And Amort ┆ n           ┆ Gains       ┆ From       │\n",
+       "│ str         ┆ ---         ┆ Stock       ┆ ---         ┆   ┆ ization     ┆ ---         ┆ Losses      ┆ Continuing │\n",
+       "│             ┆ f64         ┆ ---         ┆ f64         ┆   ┆ ---         ┆ f64         ┆ ---         ┆ Ope…       │\n",
+       "│             ┆             ┆ f64         ┆             ┆   ┆ f64         ┆             ┆ f64         ┆ ---        │\n",
+       "│             ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆ f64        │\n",
+       "╞═════════════╪═════════════╪═════════════╪═════════════╪═══╪═════════════╪═════════════╪═════════════╪════════════╡\n",
+       "│ 2023-12-31  ┆ 2.7180e9    ┆ -3.9530e9   ┆ -6.8400e8   ┆ … ┆ 2.77e8      ┆ 2.77e8      ┆ null        ┆ 3.0830e9   │\n",
+       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
+       "│ 2022-12-31  ┆ 2.0310e9    ┆ -2.5660e9   ┆ -8.0400e8   ┆ … ┆ 2.82e8      ┆ 2.82e8      ┆ null        ┆ 2.3580e9   │\n",
+       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
+       "│ 2021-12-31  ┆ 9.94e8      ┆ 0.0         ┆ -2.1740e9   ┆ … ┆ 2.95e8      ┆ 2.95e8      ┆ 1.64e8      ┆ 1.0990e9   │\n",
+       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
+       "│ 2020-12-31  ┆ 1.5040e9    ┆ -1.5000e8   ┆ -1.8870e9   ┆ … ┆ 4.78e8      ┆ 4.78e8      ┆ 3e6         ┆ -2.6700e8  │\n",
+       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
+       "│ 2019-12-31  ┆ null        ┆ null        ┆ null        ┆ … ┆ null        ┆ null        ┆ -1.4700e8   ┆ null       │\n",
+       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
+       "└─────────────┴─────────────┴─────────────┴─────────────┴───┴─────────────┴─────────────┴─────────────┴────────────┘"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "FinancialStatements(ticker=MAR)"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from metric_forge import *\n",
+    "\n",
+    "fs = import_financials(ticker='MAR',engine='yfinance')\n",
+    "fs"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Income Statement"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (5, 50)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>date</th><th>Tax Effect Of Unusual Items</th><th>Tax Rate For Calcs</th><th>Normalized EBITDA</th><th>Total Unusual Items</th><th>Total Unusual Items Excluding Goodwill</th><th>Net Income From Continuing Operation Net Minority Interest</th><th>Reconciled Depreciation</th><th>Reconciled Cost Of Revenue</th><th>EBITDA</th><th>EBIT</th><th>Net Interest Income</th><th>Interest Expense</th><th>Interest Income</th><th>Normalized Income</th><th>Net Income From Continuing And Discontinued Operation</th><th>Total Expenses</th><th>Total Operating Income As Reported</th><th>Diluted Average Shares</th><th>Basic Average Shares</th><th>Diluted EPS</th><th>Basic EPS</th><th>Diluted NI Availto Com Stockholders</th><th>Net Income Common Stockholders</th><th>Net Income</th><th>Net Income Including Noncontrolling Interests</th><th>Net Income Continuous Operations</th><th>Tax Provision</th><th>Pretax Income</th><th>Other Income Expense</th><th>Other Non Operating Income Expenses</th><th>Special Income Charges</th><th>Other Special Charges</th><th>Restructuring And Mergern Acquisition</th><th>Earnings From Equity Interest</th><th>Net Non Operating Interest Income Expense</th><th>Interest Expense Non Operating</th><th>Interest Income Non Operating</th><th>Operating Income</th><th>Operating Expense</th><th>Depreciation Amortization Depletion Income Statement</th><th>Depreciation And Amortization In Income Statement</th><th>Selling General And Administration</th><th>General And Administrative Expense</th><th>Other Gand A</th><th>Gross Profit</th><th>Cost Of Revenue</th><th>Total Revenue</th><th>Operating Revenue</th><th>gross_profit_margin</th></tr><tr><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>&quot;2023-12-31 00:00:00&quot;</td><td>-5.22e6</td><td>0.087</td><td>4.2800e9</td><td>-6e7</td><td>-6e7</td><td>3.0830e9</td><td>2.77e8</td><td>1.8501e10</td><td>4.2200e9</td><td>3.9430e9</td><td>-5.3500e8</td><td>5.65e8</td><td>3e7</td><td>3.1378e9</td><td>3.0830e9</td><td>1.9789e10</td><td>3.8640e9</td><td>3.029e8</td><td>3.015e8</td><td>10.18</td><td>10.23</td><td>3.0830e9</td><td>3.0830e9</td><td>3.0830e9</td><td>3.0830e9</td><td>3.0830e9</td><td>2.95e8</td><td>3.3780e9</td><td>-1.1e7</td><td>4e7</td><td>-6e7</td><td>null</td><td>6e7</td><td>9e6</td><td>-5.3500e8</td><td>5.65e8</td><td>3e7</td><td>3.9240e9</td><td>1.2000e9</td><td>1.89e8</td><td>1.89e8</td><td>1.0110e9</td><td>1.0110e9</td><td>1.0110e9</td><td>5.1240e9</td><td>1.8589e10</td><td>2.3713e10</td><td>6.3880e9</td><td>0.216084</td></tr><tr><td>&quot;2022-12-31 00:00:00&quot;</td><td>-2.916e6</td><td>0.243</td><td>3.8110e9</td><td>-1.2e7</td><td>-1.2e7</td><td>2.3580e9</td><td>2.82e8</td><td>1.6126e10</td><td>3.7990e9</td><td>3.5170e9</td><td>-3.7700e8</td><td>4.03e8</td><td>2.6e7</td><td>2.3671e9</td><td>2.3580e9</td><td>1.7299e10</td><td>3.4620e9</td><td>3.258e8</td><td>3.244e8</td><td>7.24</td><td>7.27</td><td>2.3580e9</td><td>2.3580e9</td><td>2.3580e9</td><td>2.3580e9</td><td>2.3580e9</td><td>7.56e8</td><td>3.1140e9</td><td>1.7e7</td><td>1.1e7</td><td>-1.2e7</td><td>null</td><td>1.2e7</td><td>1.8e7</td><td>-3.7700e8</td><td>4.03e8</td><td>2.6e7</td><td>3.4740e9</td><td>1.0840e9</td><td>1.93e8</td><td>1.93e8</td><td>8.91e8</td><td>8.91e8</td><td>8.91e8</td><td>4.5580e9</td><td>1.6215e10</td><td>2.0773e10</td><td>5.4450e9</td><td>0.219419</td></tr><tr><td>&quot;2021-12-31 00:00:00&quot;</td><td>-1.1696e7</td><td>0.068</td><td>2.0670e9</td><td>-1.7200e8</td><td>-1.7200e8</td><td>1.0990e9</td><td>2.95e8</td><td>1.0981e10</td><td>1.8950e9</td><td>1.6000e9</td><td>-3.9200e8</td><td>4.2e8</td><td>2.8e7</td><td>1.2593e9</td><td>1.0990e9</td><td>1.2099e10</td><td>1.7500e9</td><td>3.293e8</td><td>3.272e8</td><td>3.34</td><td>3.36</td><td>1.0990e9</td><td>1.0990e9</td><td>1.0990e9</td><td>1.0990e9</td><td>1.0990e9</td><td>8.1e7</td><td>1.1800e9</td><td>-1.8600e8</td><td>1e7</td><td>-1.7200e8</td><td>1.64e8</td><td>8e6</td><td>-2.4e7</td><td>-3.9200e8</td><td>4.2e8</td><td>2.8e7</td><td>1.7580e9</td><td>1.0430e9</td><td>2.2e8</td><td>2.2e8</td><td>8.23e8</td><td>8.23e8</td><td>8.23e8</td><td>2.8010e9</td><td>1.1056e10</td><td>1.3857e10</td><td>3.4900e9</td><td>0.202136</td></tr><tr><td>&quot;2020-12-31 00:00:00&quot;</td><td>-7.209e7</td><td>0.27</td><td>7.24e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>4.78e8</td><td>8.9800e9</td><td>4.57e8</td><td>-2.1e7</td><td>-4.1800e8</td><td>4.45e8</td><td>2.7e7</td><td>-7.209e7</td><td>-2.6700e8</td><td>1.0220e10</td><td>8.4e7</td><td>3.258e8</td><td>3.258e8</td><td>-0.82</td><td>-0.82</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-1.9900e8</td><td>-4.6600e8</td><td>-3.9900e8</td><td>9e6</td><td>-2.6700e8</td><td>null</td><td>2.67e8</td><td>-1.4100e8</td><td>-4.1800e8</td><td>4.45e8</td><td>2.7e7</td><td>3.51e8</td><td>1.1080e9</td><td>3.46e8</td><td>3.46e8</td><td>7.62e8</td><td>7.62e8</td><td>7.62e8</td><td>1.4590e9</td><td>9.1120e9</td><td>1.0571e10</td><td>2.1190e9</td><td>0.138019</td></tr><tr><td>&quot;2019-12-31 00:00:00&quot;</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>-1.5400e8</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (5, 50)\n",
+       "┌─────────────┬─────────────┬─────────────┬─────────────┬───┬─────────────┬─────────────┬─────────────┬────────────┐\n",
+       "│ date        ┆ Tax Effect  ┆ Tax Rate    ┆ Normalized  ┆ … ┆ Cost Of     ┆ Total       ┆ Operating   ┆ gross_prof │\n",
+       "│ ---         ┆ Of Unusual  ┆ For Calcs   ┆ EBITDA      ┆   ┆ Revenue     ┆ Revenue     ┆ Revenue     ┆ it_margin  │\n",
+       "│ str         ┆ Items       ┆ ---         ┆ ---         ┆   ┆ ---         ┆ ---         ┆ ---         ┆ ---        │\n",
+       "│             ┆ ---         ┆ f64         ┆ f64         ┆   ┆ f64         ┆ f64         ┆ f64         ┆ f64        │\n",
+       "│             ┆ f64         ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
+       "╞═════════════╪═════════════╪═════════════╪═════════════╪═══╪═════════════╪═════════════╪═════════════╪════════════╡\n",
+       "│ 2023-12-31  ┆ -5.22e6     ┆ 0.087       ┆ 4.2800e9    ┆ … ┆ 1.8589e10   ┆ 2.3713e10   ┆ 6.3880e9    ┆ 0.216084   │\n",
+       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
+       "│ 2022-12-31  ┆ -2.916e6    ┆ 0.243       ┆ 3.8110e9    ┆ … ┆ 1.6215e10   ┆ 2.0773e10   ┆ 5.4450e9    ┆ 0.219419   │\n",
+       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
+       "│ 2021-12-31  ┆ -1.1696e7   ┆ 0.068       ┆ 2.0670e9    ┆ … ┆ 1.1056e10   ┆ 1.3857e10   ┆ 3.4900e9    ┆ 0.202136   │\n",
+       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
+       "│ 2020-12-31  ┆ -7.209e7    ┆ 0.27        ┆ 7.24e8      ┆ … ┆ 9.1120e9    ┆ 1.0571e10   ┆ 2.1190e9    ┆ 0.138019   │\n",
+       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
+       "│ 2019-12-31  ┆ null        ┆ null        ┆ null        ┆ … ┆ null        ┆ null        ┆ null        ┆ null       │\n",
+       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
+       "└─────────────┴─────────────┴─────────────┴─────────────┴───┴─────────────┴─────────────┴─────────────┴────────────┘"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import polars as pl\n",
+    "\n",
+    "fs.income_statement.with_columns(pl.col('*').forge_income_statement.gross_profit_margin(revenue_column='Total Revenue',cogs_column='Cost Of Revenue'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (5, 50)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>date</th><th>Tax Effect Of Unusual Items</th><th>Tax Rate For Calcs</th><th>Normalized EBITDA</th><th>Total Unusual Items</th><th>Total Unusual Items Excluding Goodwill</th><th>Net Income From Continuing Operation Net Minority Interest</th><th>Reconciled Depreciation</th><th>Reconciled Cost Of Revenue</th><th>EBITDA</th><th>EBIT</th><th>Net Interest Income</th><th>Interest Expense</th><th>Interest Income</th><th>Normalized Income</th><th>Net Income From Continuing And Discontinued Operation</th><th>Total Expenses</th><th>Total Operating Income As Reported</th><th>Diluted Average Shares</th><th>Basic Average Shares</th><th>Diluted EPS</th><th>Basic EPS</th><th>Diluted NI Availto Com Stockholders</th><th>Net Income Common Stockholders</th><th>Net Income</th><th>Net Income Including Noncontrolling Interests</th><th>Net Income Continuous Operations</th><th>Tax Provision</th><th>Pretax Income</th><th>Other Income Expense</th><th>Other Non Operating Income Expenses</th><th>Special Income Charges</th><th>Other Special Charges</th><th>Restructuring And Mergern Acquisition</th><th>Earnings From Equity Interest</th><th>Net Non Operating Interest Income Expense</th><th>Interest Expense Non Operating</th><th>Interest Income Non Operating</th><th>Operating Income</th><th>Operating Expense</th><th>Depreciation Amortization Depletion Income Statement</th><th>Depreciation And Amortization In Income Statement</th><th>Selling General And Administration</th><th>General And Administrative Expense</th><th>Other Gand A</th><th>Gross Profit</th><th>Cost Of Revenue</th><th>Total Revenue</th><th>Operating Revenue</th><th>net_profit_margin</th></tr><tr><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>&quot;2023-12-31 00:00:00&quot;</td><td>-5.22e6</td><td>0.087</td><td>4.2800e9</td><td>-6e7</td><td>-6e7</td><td>3.0830e9</td><td>2.77e8</td><td>1.8501e10</td><td>4.2200e9</td><td>3.9430e9</td><td>-5.3500e8</td><td>5.65e8</td><td>3e7</td><td>3.1378e9</td><td>3.0830e9</td><td>1.9789e10</td><td>3.8640e9</td><td>3.029e8</td><td>3.015e8</td><td>10.18</td><td>10.23</td><td>3.0830e9</td><td>3.0830e9</td><td>3.0830e9</td><td>3.0830e9</td><td>3.0830e9</td><td>2.95e8</td><td>3.3780e9</td><td>-1.1e7</td><td>4e7</td><td>-6e7</td><td>null</td><td>6e7</td><td>9e6</td><td>-5.3500e8</td><td>5.65e8</td><td>3e7</td><td>3.9240e9</td><td>1.2000e9</td><td>1.89e8</td><td>1.89e8</td><td>1.0110e9</td><td>1.0110e9</td><td>1.0110e9</td><td>5.1240e9</td><td>1.8589e10</td><td>2.3713e10</td><td>6.3880e9</td><td>-0.618437</td></tr><tr><td>&quot;2022-12-31 00:00:00&quot;</td><td>-2.916e6</td><td>0.243</td><td>3.8110e9</td><td>-1.2e7</td><td>-1.2e7</td><td>2.3580e9</td><td>2.82e8</td><td>1.6126e10</td><td>3.7990e9</td><td>3.5170e9</td><td>-3.7700e8</td><td>4.03e8</td><td>2.6e7</td><td>2.3671e9</td><td>2.3580e9</td><td>1.7299e10</td><td>3.4620e9</td><td>3.258e8</td><td>3.244e8</td><td>7.24</td><td>7.27</td><td>2.3580e9</td><td>2.3580e9</td><td>2.3580e9</td><td>2.3580e9</td><td>2.3580e9</td><td>7.56e8</td><td>3.1140e9</td><td>1.7e7</td><td>1.1e7</td><td>-1.2e7</td><td>null</td><td>1.2e7</td><td>1.8e7</td><td>-3.7700e8</td><td>4.03e8</td><td>2.6e7</td><td>3.4740e9</td><td>1.0840e9</td><td>1.93e8</td><td>1.93e8</td><td>8.91e8</td><td>8.91e8</td><td>8.91e8</td><td>4.5580e9</td><td>1.6215e10</td><td>2.0773e10</td><td>5.4450e9</td><td>-0.613344</td></tr><tr><td>&quot;2021-12-31 00:00:00&quot;</td><td>-1.1696e7</td><td>0.068</td><td>2.0670e9</td><td>-1.7200e8</td><td>-1.7200e8</td><td>1.0990e9</td><td>2.95e8</td><td>1.0981e10</td><td>1.8950e9</td><td>1.6000e9</td><td>-3.9200e8</td><td>4.2e8</td><td>2.8e7</td><td>1.2593e9</td><td>1.0990e9</td><td>1.2099e10</td><td>1.7500e9</td><td>3.293e8</td><td>3.272e8</td><td>3.34</td><td>3.36</td><td>1.0990e9</td><td>1.0990e9</td><td>1.0990e9</td><td>1.0990e9</td><td>1.0990e9</td><td>8.1e7</td><td>1.1800e9</td><td>-1.8600e8</td><td>1e7</td><td>-1.7200e8</td><td>1.64e8</td><td>8e6</td><td>-2.4e7</td><td>-3.9200e8</td><td>4.2e8</td><td>2.8e7</td><td>1.7580e9</td><td>1.0430e9</td><td>2.2e8</td><td>2.2e8</td><td>8.23e8</td><td>8.23e8</td><td>8.23e8</td><td>2.8010e9</td><td>1.1056e10</td><td>1.3857e10</td><td>3.4900e9</td><td>-0.670997</td></tr><tr><td>&quot;2020-12-31 00:00:00&quot;</td><td>-7.209e7</td><td>0.27</td><td>7.24e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>4.78e8</td><td>8.9800e9</td><td>4.57e8</td><td>-2.1e7</td><td>-4.1800e8</td><td>4.45e8</td><td>2.7e7</td><td>-7.209e7</td><td>-2.6700e8</td><td>1.0220e10</td><td>8.4e7</td><td>3.258e8</td><td>3.258e8</td><td>-0.82</td><td>-0.82</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-1.9900e8</td><td>-4.6600e8</td><td>-3.9900e8</td><td>9e6</td><td>-2.6700e8</td><td>null</td><td>2.67e8</td><td>-1.4100e8</td><td>-4.1800e8</td><td>4.45e8</td><td>2.7e7</td><td>3.51e8</td><td>1.1080e9</td><td>3.46e8</td><td>3.46e8</td><td>7.62e8</td><td>7.62e8</td><td>7.62e8</td><td>1.4590e9</td><td>9.1120e9</td><td>1.0571e10</td><td>2.1190e9</td><td>-0.828777</td></tr><tr><td>&quot;2019-12-31 00:00:00&quot;</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>-1.5400e8</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (5, 50)\n",
+       "┌─────────────┬─────────────┬─────────────┬─────────────┬───┬─────────────┬─────────────┬─────────────┬────────────┐\n",
+       "│ date        ┆ Tax Effect  ┆ Tax Rate    ┆ Normalized  ┆ … ┆ Cost Of     ┆ Total       ┆ Operating   ┆ net_profit │\n",
+       "│ ---         ┆ Of Unusual  ┆ For Calcs   ┆ EBITDA      ┆   ┆ Revenue     ┆ Revenue     ┆ Revenue     ┆ _margin    │\n",
+       "│ str         ┆ Items       ┆ ---         ┆ ---         ┆   ┆ ---         ┆ ---         ┆ ---         ┆ ---        │\n",
+       "│             ┆ ---         ┆ f64         ┆ f64         ┆   ┆ f64         ┆ f64         ┆ f64         ┆ f64        │\n",
+       "│             ┆ f64         ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
+       "╞═════════════╪═════════════╪═════════════╪═════════════╪═══╪═════════════╪═════════════╪═════════════╪════════════╡\n",
+       "│ 2023-12-31  ┆ -5.22e6     ┆ 0.087       ┆ 4.2800e9    ┆ … ┆ 1.8589e10   ┆ 2.3713e10   ┆ 6.3880e9    ┆ -0.618437  │\n",
+       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
+       "│ 2022-12-31  ┆ -2.916e6    ┆ 0.243       ┆ 3.8110e9    ┆ … ┆ 1.6215e10   ┆ 2.0773e10   ┆ 5.4450e9    ┆ -0.613344  │\n",
+       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
+       "│ 2021-12-31  ┆ -1.1696e7   ┆ 0.068       ┆ 2.0670e9    ┆ … ┆ 1.1056e10   ┆ 1.3857e10   ┆ 3.4900e9    ┆ -0.670997  │\n",
+       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
+       "│ 2020-12-31  ┆ -7.209e7    ┆ 0.27        ┆ 7.24e8      ┆ … ┆ 9.1120e9    ┆ 1.0571e10   ┆ 2.1190e9    ┆ -0.828777  │\n",
+       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
+       "│ 2019-12-31  ┆ null        ┆ null        ┆ null        ┆ … ┆ null        ┆ null        ┆ null        ┆ null       │\n",
+       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
+       "└─────────────┴─────────────┴─────────────┴─────────────┴───┴─────────────┴─────────────┴─────────────┴────────────┘"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fs.income_statement.with_columns(pl.col('*').forge_income_statement.net_profit_margin(revenue_column='Total Revenue',cogs_column='Cost Of Revenue',expenses_column='Total Expenses'))"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/mortgage.ipynb b/notebooks/mortgage.ipynb
new file mode 100644
index 0000000..aecc9e3
--- /dev/null
+++ b/notebooks/mortgage.ipynb
@@ -0,0 +1,131 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Mortgage\n",
+    "\n",
+    "The Mortgage module contains mortgage objects that you enable you to assess mortgage metrics. You need to define these objects prior to running calcuations. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2275.934140129842"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from metric_forge.mortgage import *\n",
+    "\n",
+    "mortgage = Mortgage(principal=390000,annual_interest_rate=5.75,start_date='2023-09-01',term_years=30,extra_principal_payment=200)\n",
+    "mortgage.calculate_monthly_payment()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (360, 6)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>payment_number</th><th>payment_date</th><th>payment</th><th>interest_payment</th><th>principal_payment</th><th>principal_remaining</th></tr><tr><td>i64</td><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>1</td><td>&quot;2023-10-01&quot;</td><td>2275.93414</td><td>1868.75</td><td>407.18414</td><td>389592.81586</td></tr><tr><td>2</td><td>&quot;2023-10-31&quot;</td><td>2275.93414</td><td>1866.798909</td><td>409.135231</td><td>389183.680629</td></tr><tr><td>3</td><td>&quot;2023-11-30&quot;</td><td>2275.93414</td><td>1864.83847</td><td>411.09567</td><td>388772.584959</td></tr><tr><td>4</td><td>&quot;2023-12-30&quot;</td><td>2275.93414</td><td>1862.868636</td><td>413.065504</td><td>388359.519455</td></tr><tr><td>5</td><td>&quot;2024-01-29&quot;</td><td>2275.93414</td><td>1860.889364</td><td>415.044776</td><td>387944.474679</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>356</td><td>&quot;2052-11-27&quot;</td><td>2275.93414</td><td>53.752435</td><td>2222.181705</td><td>8995.717798</td></tr><tr><td>357</td><td>&quot;2052-12-27&quot;</td><td>2275.93414</td><td>43.104481</td><td>2232.829659</td><td>6762.888139</td></tr><tr><td>358</td><td>&quot;2053-01-26&quot;</td><td>2275.93414</td><td>32.405506</td><td>2243.528634</td><td>4519.359505</td></tr><tr><td>359</td><td>&quot;2053-02-25&quot;</td><td>2275.93414</td><td>21.655264</td><td>2254.278876</td><td>2265.080629</td></tr><tr><td>360</td><td>&quot;2053-03-27&quot;</td><td>2275.93414</td><td>10.853511</td><td>2265.080629</td><td>1.2655e-8</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (360, 6)\n",
+       "┌────────────────┬──────────────┬────────────┬──────────────────┬───────────────────┬─────────────────────┐\n",
+       "│ payment_number ┆ payment_date ┆ payment    ┆ interest_payment ┆ principal_payment ┆ principal_remaining │\n",
+       "│ ---            ┆ ---          ┆ ---        ┆ ---              ┆ ---               ┆ ---                 │\n",
+       "│ i64            ┆ str          ┆ f64        ┆ f64              ┆ f64               ┆ f64                 │\n",
+       "╞════════════════╪══════════════╪════════════╪══════════════════╪═══════════════════╪═════════════════════╡\n",
+       "│ 1              ┆ 2023-10-01   ┆ 2275.93414 ┆ 1868.75          ┆ 407.18414         ┆ 389592.81586        │\n",
+       "│ 2              ┆ 2023-10-31   ┆ 2275.93414 ┆ 1866.798909      ┆ 409.135231        ┆ 389183.680629       │\n",
+       "│ 3              ┆ 2023-11-30   ┆ 2275.93414 ┆ 1864.83847       ┆ 411.09567         ┆ 388772.584959       │\n",
+       "│ 4              ┆ 2023-12-30   ┆ 2275.93414 ┆ 1862.868636      ┆ 413.065504        ┆ 388359.519455       │\n",
+       "│ 5              ┆ 2024-01-29   ┆ 2275.93414 ┆ 1860.889364      ┆ 415.044776        ┆ 387944.474679       │\n",
+       "│ …              ┆ …            ┆ …          ┆ …                ┆ …                 ┆ …                   │\n",
+       "│ 356            ┆ 2052-11-27   ┆ 2275.93414 ┆ 53.752435        ┆ 2222.181705       ┆ 8995.717798         │\n",
+       "│ 357            ┆ 2052-12-27   ┆ 2275.93414 ┆ 43.104481        ┆ 2232.829659       ┆ 6762.888139         │\n",
+       "│ 358            ┆ 2053-01-26   ┆ 2275.93414 ┆ 32.405506        ┆ 2243.528634       ┆ 4519.359505         │\n",
+       "│ 359            ┆ 2053-02-25   ┆ 2275.93414 ┆ 21.655264        ┆ 2254.278876       ┆ 2265.080629         │\n",
+       "│ 360            ┆ 2053-03-27   ┆ 2275.93414 ┆ 10.853511        ┆ 2265.080629       ┆ 1.2655e-8           │\n",
+       "└────────────────┴──────────────┴────────────┴──────────────────┴───────────────────┴─────────────────────┘"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "mortgage.generate_amortization_schedule()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'new_term_years': 24.502707600761994, 'time_saved_years': 5.497292399238006}"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "mortgage.calculate_principal_only_payment()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'Old Monthly Payment': 2275.934140129842,\n",
+       " 'New Monthly Payment': 1877.492587282451,\n",
+       " 'Monthly Savings': 398.441552847391,\n",
+       " 'Break-Even Point (months)': 12.548891962367875,\n",
+       " 'Total Savings (over the loan term)': 138438.95902506076,\n",
+       " 'Should Refinance': True}"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "mortgage.refinance_assessment(RefinanceOption(new_loan_amount=340000,new_annual_interest_rate=5.25,new_term_years=30,associated_costs=5000))\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/operations.ipynb b/notebooks/operations.ipynb
new file mode 100644
index 0000000..266c154
--- /dev/null
+++ b/notebooks/operations.ipynb
@@ -0,0 +1,85 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Operations"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (3, 11)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>total_production_time</th><th>units_produced</th><th>time_period</th><th>availability</th><th>performance</th><th>quality</th><th>actual_output</th><th>potential_output</th><th>defective_units</th><th>total_units_produced</th><th>cycle_time</th></tr><tr><td>i64</td><td>i64</td><td>i64</td><td>f64</td><td>f64</td><td>f64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>1200</td><td>100</td><td>10</td><td>0.95</td><td>0.9</td><td>0.98</td><td>950</td><td>1000</td><td>2</td><td>100</td><td>12.0</td></tr><tr><td>1300</td><td>110</td><td>10</td><td>0.9</td><td>0.85</td><td>0.97</td><td>980</td><td>1000</td><td>3</td><td>110</td><td>11.818182</td></tr><tr><td>1100</td><td>95</td><td>10</td><td>0.88</td><td>0.87</td><td>0.96</td><td>900</td><td>1000</td><td>4</td><td>95</td><td>11.578947</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (3, 11)\n",
+       "┌─────────────┬─────────────┬─────────────┬─────────────┬───┬─────────────┬─────────────┬─────────────┬────────────┐\n",
+       "│ total_produ ┆ units_produ ┆ time_period ┆ availabilit ┆ … ┆ potential_o ┆ defective_u ┆ total_units ┆ cycle_time │\n",
+       "│ ction_time  ┆ ced         ┆ ---         ┆ y           ┆   ┆ utput       ┆ nits        ┆ _produced   ┆ ---        │\n",
+       "│ ---         ┆ ---         ┆ i64         ┆ ---         ┆   ┆ ---         ┆ ---         ┆ ---         ┆ f64        │\n",
+       "│ i64         ┆ i64         ┆             ┆ f64         ┆   ┆ i64         ┆ i64         ┆ i64         ┆            │\n",
+       "╞═════════════╪═════════════╪═════════════╪═════════════╪═══╪═════════════╪═════════════╪═════════════╪════════════╡\n",
+       "│ 1200        ┆ 100         ┆ 10          ┆ 0.95        ┆ … ┆ 1000        ┆ 2           ┆ 100         ┆ 12.0       │\n",
+       "│ 1300        ┆ 110         ┆ 10          ┆ 0.9         ┆ … ┆ 1000        ┆ 3           ┆ 110         ┆ 11.818182  │\n",
+       "│ 1100        ┆ 95          ┆ 10          ┆ 0.88        ┆ … ┆ 1000        ┆ 4           ┆ 95          ┆ 11.578947  │\n",
+       "└─────────────┴─────────────┴─────────────┴─────────────┴───┴─────────────┴─────────────┴─────────────┴────────────┘"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import polars as pl\n",
+    "\n",
+    "from metric_forge import *\n",
+    "\n",
+    "df = pl.DataFrame({\n",
+    "    \"total_production_time\": [1200, 1300, 1100],\n",
+    "    \"units_produced\": [100, 110, 95],\n",
+    "    \"time_period\": [10, 10, 10],\n",
+    "    \"availability\": [0.95, 0.90, 0.88],\n",
+    "    \"performance\": [0.90, 0.85, 0.87],\n",
+    "    \"quality\": [0.98, 0.97, 0.96],\n",
+    "    \"actual_output\": [950, 980, 900],\n",
+    "    \"potential_output\": [1000, 1000, 1000],\n",
+    "    \"defective_units\": [2, 3, 4],\n",
+    "    \"total_units_produced\": [100, 110, 95],\n",
+    "    # \"order_date\": [pl.datetime(2023, 9, 1), pl.datetime(2023, 9, 2), pl.datetime(2023, 9, 3)],\n",
+    "    # \"delivery_date\": [pl.datetime(2023, 9, 5), pl.datetime(2023, 9, 6), pl.datetime(2023, 9, 7)]\n",
+    "})\n",
+    "\n",
+    "df = df.with_columns(\n",
+    "    pl.col('*').forge_operations.cycle_time(\"total_production_time\", \"units_produced\"),\n",
+    "    # pl.col('*').forge_operations.throughput(\"units_produced\", \"time_period\"),\n",
+    "    # pl.col('*').forge_operations.oee(\"availability\", \"performance\", \"quality\"),\n",
+    "    # pl.col('*').forge_operations.capacity_utilization(\"actual_output\", \"potential_output\"),\n",
+    "    # pl.col('*').forge_operations.defect_rate(\"defective_units\", \"total_units_produced\"),\n",
+    "    # pl.col('*').forge_operations.lead_time(\"order_date\", \"delivery_date\")\n",
+    ")\n",
+    "\n",
+    "df\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/product_dev.ipynb b/notebooks/product_dev.ipynb
new file mode 100644
index 0000000..4e7d4f9
--- /dev/null
+++ b/notebooks/product_dev.ipynb
@@ -0,0 +1,224 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Product Development\n",
+    "You can use Product Development Metrics in two different ways:\n",
+    "* With Polars\n",
+    "* As a Single Value Function (SVF)\n",
+    "\n",
+    "Metric Forge extends the Polars expression library; making it possible to perform row-wise-calculations for various metrics. In addition to mass calculations, you can also perform single value calculations that return just one value. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Underserved Customer Needs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (10, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>importance_score</th><th>satisfaction_score</th><th>opportunity_score</th></tr><tr><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>8</td><td>7</td><td>9.0</td></tr><tr><td>6</td><td>8</td><td>4.0</td></tr><tr><td>7</td><td>9</td><td>5.0</td></tr><tr><td>8</td><td>7</td><td>9.0</td></tr><tr><td>6</td><td>6</td><td>6.0</td></tr><tr><td>9</td><td>8</td><td>10.0</td></tr><tr><td>7</td><td>9</td><td>5.0</td></tr><tr><td>6</td><td>7</td><td>5.0</td></tr><tr><td>9</td><td>8</td><td>10.0</td></tr><tr><td>8</td><td>7</td><td>9.0</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (10, 3)\n",
+       "┌──────────────────┬────────────────────┬───────────────────┐\n",
+       "│ importance_score ┆ satisfaction_score ┆ opportunity_score │\n",
+       "│ ---              ┆ ---                ┆ ---               │\n",
+       "│ i64              ┆ i64                ┆ f64               │\n",
+       "╞══════════════════╪════════════════════╪═══════════════════╡\n",
+       "│ 8                ┆ 7                  ┆ 9.0               │\n",
+       "│ 6                ┆ 8                  ┆ 4.0               │\n",
+       "│ 7                ┆ 9                  ┆ 5.0               │\n",
+       "│ 8                ┆ 7                  ┆ 9.0               │\n",
+       "│ 6                ┆ 6                  ┆ 6.0               │\n",
+       "│ 9                ┆ 8                  ┆ 10.0              │\n",
+       "│ 7                ┆ 9                  ┆ 5.0               │\n",
+       "│ 6                ┆ 7                  ┆ 5.0               │\n",
+       "│ 9                ┆ 8                  ┆ 10.0              │\n",
+       "│ 8                ┆ 7                  ┆ 9.0               │\n",
+       "└──────────────────┴────────────────────┴───────────────────┘"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data.select(pl.col('importance_score'),\n",
+    "            pl.col('satisfaction_score'),\n",
+    "            pl.col('*').forge_product_dev.opportunity_score(importance_col='importance_score',satisfaction_col='satisfaction_score'))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (10, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>importance_score</th><th>satisfaction_score</th><th>customer_value_delivered</th></tr><tr><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>8</td><td>7</td><td>0.56</td></tr><tr><td>6</td><td>8</td><td>0.48</td></tr><tr><td>7</td><td>9</td><td>0.63</td></tr><tr><td>8</td><td>7</td><td>0.56</td></tr><tr><td>6</td><td>6</td><td>0.36</td></tr><tr><td>9</td><td>8</td><td>0.72</td></tr><tr><td>7</td><td>9</td><td>0.63</td></tr><tr><td>6</td><td>7</td><td>0.42</td></tr><tr><td>9</td><td>8</td><td>0.72</td></tr><tr><td>8</td><td>7</td><td>0.56</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (10, 3)\n",
+       "┌──────────────────┬────────────────────┬──────────────────────────┐\n",
+       "│ importance_score ┆ satisfaction_score ┆ customer_value_delivered │\n",
+       "│ ---              ┆ ---                ┆ ---                      │\n",
+       "│ i64              ┆ i64                ┆ f64                      │\n",
+       "╞══════════════════╪════════════════════╪══════════════════════════╡\n",
+       "│ 8                ┆ 7                  ┆ 0.56                     │\n",
+       "│ 6                ┆ 8                  ┆ 0.48                     │\n",
+       "│ 7                ┆ 9                  ┆ 0.63                     │\n",
+       "│ 8                ┆ 7                  ┆ 0.56                     │\n",
+       "│ 6                ┆ 6                  ┆ 0.36                     │\n",
+       "│ 9                ┆ 8                  ┆ 0.72                     │\n",
+       "│ 7                ┆ 9                  ┆ 0.63                     │\n",
+       "│ 6                ┆ 7                  ┆ 0.42                     │\n",
+       "│ 9                ┆ 8                  ┆ 0.72                     │\n",
+       "│ 8                ┆ 7                  ┆ 0.56                     │\n",
+       "└──────────────────┴────────────────────┴──────────────────────────┘"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data.select(pl.col('importance_score'),\n",
+    "            pl.col('satisfaction_score'),\n",
+    "            pl.col('*').forge_product_dev.customer_value_delivered(importance_col='importance_score',satisfaction_col='satisfaction_score'))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (10, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>importance_score</th><th>satisfaction_score</th><th>opp_to_add_value</th></tr><tr><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>8</td><td>7</td><td>0.24</td></tr><tr><td>6</td><td>8</td><td>0.12</td></tr><tr><td>7</td><td>9</td><td>0.07</td></tr><tr><td>8</td><td>7</td><td>0.24</td></tr><tr><td>6</td><td>6</td><td>0.24</td></tr><tr><td>9</td><td>8</td><td>0.18</td></tr><tr><td>7</td><td>9</td><td>0.07</td></tr><tr><td>6</td><td>7</td><td>0.18</td></tr><tr><td>9</td><td>8</td><td>0.18</td></tr><tr><td>8</td><td>7</td><td>0.24</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (10, 3)\n",
+       "┌──────────────────┬────────────────────┬──────────────────┐\n",
+       "│ importance_score ┆ satisfaction_score ┆ opp_to_add_value │\n",
+       "│ ---              ┆ ---                ┆ ---              │\n",
+       "│ i64              ┆ i64                ┆ f64              │\n",
+       "╞══════════════════╪════════════════════╪══════════════════╡\n",
+       "│ 8                ┆ 7                  ┆ 0.24             │\n",
+       "│ 6                ┆ 8                  ┆ 0.12             │\n",
+       "│ 7                ┆ 9                  ┆ 0.07             │\n",
+       "│ 8                ┆ 7                  ┆ 0.24             │\n",
+       "│ 6                ┆ 6                  ┆ 0.24             │\n",
+       "│ 9                ┆ 8                  ┆ 0.18             │\n",
+       "│ 7                ┆ 9                  ┆ 0.07             │\n",
+       "│ 6                ┆ 7                  ┆ 0.18             │\n",
+       "│ 9                ┆ 8                  ┆ 0.18             │\n",
+       "│ 8                ┆ 7                  ┆ 0.24             │\n",
+       "└──────────────────┴────────────────────┴──────────────────┘"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data.select(pl.col('importance_score'),\n",
+    "            pl.col('satisfaction_score'),\n",
+    "            pl.col('*').forge_product_dev.opportunity_to_add_value(importance_col='importance_score',satisfaction_col='satisfaction_score'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (10, 4)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>importance_score</th><th>satisfaction_score_before</th><th>satisfaction_score_after</th><th>customer_value_created</th></tr><tr><td>i64</td><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>8</td><td>7</td><td>9</td><td>0.16</td></tr><tr><td>9</td><td>8</td><td>9</td><td>0.09</td></tr><tr><td>7</td><td>9</td><td>8</td><td>-0.07</td></tr><tr><td>8</td><td>7</td><td>8</td><td>0.08</td></tr><tr><td>6</td><td>6</td><td>8</td><td>0.12</td></tr><tr><td>9</td><td>8</td><td>9</td><td>0.09</td></tr><tr><td>7</td><td>9</td><td>8</td><td>-0.07</td></tr><tr><td>6</td><td>7</td><td>6</td><td>-0.06</td></tr><tr><td>9</td><td>8</td><td>8</td><td>0.0</td></tr><tr><td>8</td><td>7</td><td>7</td><td>0.0</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (10, 4)\n",
+       "┌──────────────────┬───────────────────────────┬──────────────────────────┬────────────────────────┐\n",
+       "│ importance_score ┆ satisfaction_score_before ┆ satisfaction_score_after ┆ customer_value_created │\n",
+       "│ ---              ┆ ---                       ┆ ---                      ┆ ---                    │\n",
+       "│ i64              ┆ i64                       ┆ i64                      ┆ f64                    │\n",
+       "╞══════════════════╪═══════════════════════════╪══════════════════════════╪════════════════════════╡\n",
+       "│ 8                ┆ 7                         ┆ 9                        ┆ 0.16                   │\n",
+       "│ 9                ┆ 8                         ┆ 9                        ┆ 0.09                   │\n",
+       "│ 7                ┆ 9                         ┆ 8                        ┆ -0.07                  │\n",
+       "│ 8                ┆ 7                         ┆ 8                        ┆ 0.08                   │\n",
+       "│ 6                ┆ 6                         ┆ 8                        ┆ 0.12                   │\n",
+       "│ 9                ┆ 8                         ┆ 9                        ┆ 0.09                   │\n",
+       "│ 7                ┆ 9                         ┆ 8                        ┆ -0.07                  │\n",
+       "│ 6                ┆ 7                         ┆ 6                        ┆ -0.06                  │\n",
+       "│ 9                ┆ 8                         ┆ 8                        ┆ 0.0                    │\n",
+       "│ 8                ┆ 7                         ┆ 7                        ┆ 0.0                    │\n",
+       "└──────────────────┴───────────────────────────┴──────────────────────────┴────────────────────────┘"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import polars as pl\n",
+    "data = pl.read_csv('datasets/customer-value-added.csv')\n",
+    "\n",
+    "data.select(pl.col('importance_score'),\n",
+    "            pl.col('satisfaction_score_before'),\n",
+    "            pl.col('satisfaction_score_after'),\n",
+    "            pl.col('*').forge_product_dev.customer_value_created(importance_col='importance_score'\n",
+    "                       ,satisfaction_after_col='satisfaction_score_after'\n",
+    "                       ,satisfaction_before_col='satisfaction_score_before'))\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/web_traffic.ipynb b/notebooks/web_traffic.ipynb
new file mode 100644
index 0000000..3f21e52
--- /dev/null
+++ b/notebooks/web_traffic.ipynb
@@ -0,0 +1,344 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Web Traffic"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (4, 8)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>total_duration</th><th>total_sessions</th><th>single_page_sessions</th><th>num_clicks</th><th>num_impressions</th><th>total_cost</th><th>exits</th><th>total_page_views</th></tr><tr><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td></tr></thead><tbody><tr><td>1200</td><td>10</td><td>2</td><td>100</td><td>1000</td><td>50</td><td>5</td><td>50</td></tr><tr><td>1500</td><td>15</td><td>3</td><td>150</td><td>1500</td><td>75</td><td>7</td><td>70</td></tr><tr><td>60</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>2</td><td>20</td></tr><tr><td>2500</td><td>25</td><td>5</td><td>200</td><td>2000</td><td>100</td><td>10</td><td>100</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (4, 8)\n",
+       "┌────────────────┬───────────────┬───────────────┬────────────┬───────────────┬────────────┬───────┬───────────────┐\n",
+       "│ total_duration ┆ total_session ┆ single_page_s ┆ num_clicks ┆ num_impressio ┆ total_cost ┆ exits ┆ total_page_vi │\n",
+       "│ ---            ┆ s             ┆ essions       ┆ ---        ┆ ns            ┆ ---        ┆ ---   ┆ ews           │\n",
+       "│ i64            ┆ ---           ┆ ---           ┆ i64        ┆ ---           ┆ i64        ┆ i64   ┆ ---           │\n",
+       "│                ┆ i64           ┆ i64           ┆            ┆ i64           ┆            ┆       ┆ i64           │\n",
+       "╞════════════════╪═══════════════╪═══════════════╪════════════╪═══════════════╪════════════╪═══════╪═══════════════╡\n",
+       "│ 1200           ┆ 10            ┆ 2             ┆ 100        ┆ 1000          ┆ 50         ┆ 5     ┆ 50            │\n",
+       "│ 1500           ┆ 15            ┆ 3             ┆ 150        ┆ 1500          ┆ 75         ┆ 7     ┆ 70            │\n",
+       "│ 60             ┆ 2             ┆ 1             ┆ 0          ┆ 0             ┆ 0          ┆ 2     ┆ 20            │\n",
+       "│ 2500           ┆ 25            ┆ 5             ┆ 200        ┆ 2000          ┆ 100        ┆ 10    ┆ 100           │\n",
+       "└────────────────┴───────────────┴───────────────┴────────────┴───────────────┴────────────┴───────┴───────────────┘"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from metric_forge.web_traffic import *\n",
+    "import polars as pl\n",
+    "\n",
+    "data = pl.read_csv('datasets/web_traffic.csv')\n",
+    "data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Average Session Duration"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (4, 9)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>total_duration</th><th>total_sessions</th><th>single_page_sessions</th><th>num_clicks</th><th>num_impressions</th><th>total_cost</th><th>exits</th><th>total_page_views</th><th>average_session_duration</th></tr><tr><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>1200</td><td>10</td><td>2</td><td>100</td><td>1000</td><td>50</td><td>5</td><td>50</td><td>120.0</td></tr><tr><td>1500</td><td>15</td><td>3</td><td>150</td><td>1500</td><td>75</td><td>7</td><td>70</td><td>100.0</td></tr><tr><td>60</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>2</td><td>20</td><td>30.0</td></tr><tr><td>2500</td><td>25</td><td>5</td><td>200</td><td>2000</td><td>100</td><td>10</td><td>100</td><td>100.0</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (4, 9)\n",
+       "┌───────────────┬───────────────┬──────────────┬────────────┬───┬────────────┬───────┬──────────────┬──────────────┐\n",
+       "│ total_duratio ┆ total_session ┆ single_page_ ┆ num_clicks ┆ … ┆ total_cost ┆ exits ┆ total_page_v ┆ average_sess │\n",
+       "│ n             ┆ s             ┆ sessions     ┆ ---        ┆   ┆ ---        ┆ ---   ┆ iews         ┆ ion_duration │\n",
+       "│ ---           ┆ ---           ┆ ---          ┆ i64        ┆   ┆ i64        ┆ i64   ┆ ---          ┆ ---          │\n",
+       "│ i64           ┆ i64           ┆ i64          ┆            ┆   ┆            ┆       ┆ i64          ┆ f64          │\n",
+       "╞═══════════════╪═══════════════╪══════════════╪════════════╪═══╪════════════╪═══════╪══════════════╪══════════════╡\n",
+       "│ 1200          ┆ 10            ┆ 2            ┆ 100        ┆ … ┆ 50         ┆ 5     ┆ 50           ┆ 120.0        │\n",
+       "│ 1500          ┆ 15            ┆ 3            ┆ 150        ┆ … ┆ 75         ┆ 7     ┆ 70           ┆ 100.0        │\n",
+       "│ 60            ┆ 2             ┆ 1            ┆ 0          ┆ … ┆ 0          ┆ 2     ┆ 20           ┆ 30.0         │\n",
+       "│ 2500          ┆ 25            ┆ 5            ┆ 200        ┆ … ┆ 100        ┆ 10    ┆ 100          ┆ 100.0        │\n",
+       "└───────────────┴───────────────┴──────────────┴────────────┴───┴────────────┴───────┴──────────────┴──────────────┘"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data.with_columns(pl.col('*').forge_web_traffic.average_session_duration(total_duration_col='total_duration', total_sessions_col='total_sessions'))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Bounce Rate"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (4, 9)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>total_duration</th><th>total_sessions</th><th>single_page_sessions</th><th>num_clicks</th><th>num_impressions</th><th>total_cost</th><th>exits</th><th>total_page_views</th><th>bounce_rate</th></tr><tr><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>1200</td><td>10</td><td>2</td><td>100</td><td>1000</td><td>50</td><td>5</td><td>50</td><td>20.0</td></tr><tr><td>1500</td><td>15</td><td>3</td><td>150</td><td>1500</td><td>75</td><td>7</td><td>70</td><td>20.0</td></tr><tr><td>60</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>2</td><td>20</td><td>50.0</td></tr><tr><td>2500</td><td>25</td><td>5</td><td>200</td><td>2000</td><td>100</td><td>10</td><td>100</td><td>20.0</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (4, 9)\n",
+       "┌───────────────┬───────────────┬───────────────┬────────────┬───┬────────────┬───────┬──────────────┬─────────────┐\n",
+       "│ total_duratio ┆ total_session ┆ single_page_s ┆ num_clicks ┆ … ┆ total_cost ┆ exits ┆ total_page_v ┆ bounce_rate │\n",
+       "│ n             ┆ s             ┆ essions       ┆ ---        ┆   ┆ ---        ┆ ---   ┆ iews         ┆ ---         │\n",
+       "│ ---           ┆ ---           ┆ ---           ┆ i64        ┆   ┆ i64        ┆ i64   ┆ ---          ┆ f64         │\n",
+       "│ i64           ┆ i64           ┆ i64           ┆            ┆   ┆            ┆       ┆ i64          ┆             │\n",
+       "╞═══════════════╪═══════════════╪═══════════════╪════════════╪═══╪════════════╪═══════╪══════════════╪═════════════╡\n",
+       "│ 1200          ┆ 10            ┆ 2             ┆ 100        ┆ … ┆ 50         ┆ 5     ┆ 50           ┆ 20.0        │\n",
+       "│ 1500          ┆ 15            ┆ 3             ┆ 150        ┆ … ┆ 75         ┆ 7     ┆ 70           ┆ 20.0        │\n",
+       "│ 60            ┆ 2             ┆ 1             ┆ 0          ┆ … ┆ 0          ┆ 2     ┆ 20           ┆ 50.0        │\n",
+       "│ 2500          ┆ 25            ┆ 5             ┆ 200        ┆ … ┆ 100        ┆ 10    ┆ 100          ┆ 20.0        │\n",
+       "└───────────────┴───────────────┴───────────────┴────────────┴───┴────────────┴───────┴──────────────┴─────────────┘"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data.with_columns(pl.col('*').forge_web_traffic.bounce_rate(single_page_sessions_col='single_page_sessions', total_sessions_col='total_sessions'))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Click Through Rate"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (4, 9)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>total_duration</th><th>total_sessions</th><th>single_page_sessions</th><th>num_clicks</th><th>num_impressions</th><th>total_cost</th><th>exits</th><th>total_page_views</th><th>click_through_rate</th></tr><tr><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>1200</td><td>10</td><td>2</td><td>100</td><td>1000</td><td>50</td><td>5</td><td>50</td><td>10.0</td></tr><tr><td>1500</td><td>15</td><td>3</td><td>150</td><td>1500</td><td>75</td><td>7</td><td>70</td><td>10.0</td></tr><tr><td>60</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>2</td><td>20</td><td>NaN</td></tr><tr><td>2500</td><td>25</td><td>5</td><td>200</td><td>2000</td><td>100</td><td>10</td><td>100</td><td>10.0</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (4, 9)\n",
+       "┌───────────────┬───────────────┬──────────────┬────────────┬───┬────────────┬───────┬──────────────┬──────────────┐\n",
+       "│ total_duratio ┆ total_session ┆ single_page_ ┆ num_clicks ┆ … ┆ total_cost ┆ exits ┆ total_page_v ┆ click_throug │\n",
+       "│ n             ┆ s             ┆ sessions     ┆ ---        ┆   ┆ ---        ┆ ---   ┆ iews         ┆ h_rate       │\n",
+       "│ ---           ┆ ---           ┆ ---          ┆ i64        ┆   ┆ i64        ┆ i64   ┆ ---          ┆ ---          │\n",
+       "│ i64           ┆ i64           ┆ i64          ┆            ┆   ┆            ┆       ┆ i64          ┆ f64          │\n",
+       "╞═══════════════╪═══════════════╪══════════════╪════════════╪═══╪════════════╪═══════╪══════════════╪══════════════╡\n",
+       "│ 1200          ┆ 10            ┆ 2            ┆ 100        ┆ … ┆ 50         ┆ 5     ┆ 50           ┆ 10.0         │\n",
+       "│ 1500          ┆ 15            ┆ 3            ┆ 150        ┆ … ┆ 75         ┆ 7     ┆ 70           ┆ 10.0         │\n",
+       "│ 60            ┆ 2             ┆ 1            ┆ 0          ┆ … ┆ 0          ┆ 2     ┆ 20           ┆ NaN          │\n",
+       "│ 2500          ┆ 25            ┆ 5            ┆ 200        ┆ … ┆ 100        ┆ 10    ┆ 100          ┆ 10.0         │\n",
+       "└───────────────┴───────────────┴──────────────┴────────────┴───┴────────────┴───────┴──────────────┴──────────────┘"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data.with_columns(pl.col('*').forge_web_traffic.click_through_rate(num_clicks_col='num_clicks', num_impressions_col='num_impressions'))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Cost Per Click"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (4, 9)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>total_duration</th><th>total_sessions</th><th>single_page_sessions</th><th>num_clicks</th><th>num_impressions</th><th>total_cost</th><th>exits</th><th>total_page_views</th><th>cost_per_click</th></tr><tr><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>1200</td><td>10</td><td>2</td><td>100</td><td>1000</td><td>50</td><td>5</td><td>50</td><td>0.5</td></tr><tr><td>1500</td><td>15</td><td>3</td><td>150</td><td>1500</td><td>75</td><td>7</td><td>70</td><td>0.5</td></tr><tr><td>60</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>2</td><td>20</td><td>0.0</td></tr><tr><td>2500</td><td>25</td><td>5</td><td>200</td><td>2000</td><td>100</td><td>10</td><td>100</td><td>0.5</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (4, 9)\n",
+       "┌───────────────┬───────────────┬──────────────┬────────────┬───┬────────────┬───────┬──────────────┬──────────────┐\n",
+       "│ total_duratio ┆ total_session ┆ single_page_ ┆ num_clicks ┆ … ┆ total_cost ┆ exits ┆ total_page_v ┆ cost_per_cli │\n",
+       "│ n             ┆ s             ┆ sessions     ┆ ---        ┆   ┆ ---        ┆ ---   ┆ iews         ┆ ck           │\n",
+       "│ ---           ┆ ---           ┆ ---          ┆ i64        ┆   ┆ i64        ┆ i64   ┆ ---          ┆ ---          │\n",
+       "│ i64           ┆ i64           ┆ i64          ┆            ┆   ┆            ┆       ┆ i64          ┆ f64          │\n",
+       "╞═══════════════╪═══════════════╪══════════════╪════════════╪═══╪════════════╪═══════╪══════════════╪══════════════╡\n",
+       "│ 1200          ┆ 10            ┆ 2            ┆ 100        ┆ … ┆ 50         ┆ 5     ┆ 50           ┆ 0.5          │\n",
+       "│ 1500          ┆ 15            ┆ 3            ┆ 150        ┆ … ┆ 75         ┆ 7     ┆ 70           ┆ 0.5          │\n",
+       "│ 60            ┆ 2             ┆ 1            ┆ 0          ┆ … ┆ 0          ┆ 2     ┆ 20           ┆ 0.0          │\n",
+       "│ 2500          ┆ 25            ┆ 5            ┆ 200        ┆ … ┆ 100        ┆ 10    ┆ 100          ┆ 0.5          │\n",
+       "└───────────────┴───────────────┴──────────────┴────────────┴───┴────────────┴───────┴──────────────┴──────────────┘"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data.with_columns(pl.col('*').forge_web_traffic.cost_per_click(total_cost_col='total_cost',num_clicks_col='num_clicks'))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Exit Rate"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (4, 9)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>total_duration</th><th>total_sessions</th><th>single_page_sessions</th><th>num_clicks</th><th>num_impressions</th><th>total_cost</th><th>exits</th><th>total_page_views</th><th>exit_rate</th></tr><tr><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>1200</td><td>10</td><td>2</td><td>100</td><td>1000</td><td>50</td><td>5</td><td>50</td><td>10.0</td></tr><tr><td>1500</td><td>15</td><td>3</td><td>150</td><td>1500</td><td>75</td><td>7</td><td>70</td><td>10.0</td></tr><tr><td>60</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>2</td><td>20</td><td>10.0</td></tr><tr><td>2500</td><td>25</td><td>5</td><td>200</td><td>2000</td><td>100</td><td>10</td><td>100</td><td>10.0</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (4, 9)\n",
+       "┌────────────────┬───────────────┬───────────────┬────────────┬───┬────────────┬───────┬───────────────┬───────────┐\n",
+       "│ total_duration ┆ total_session ┆ single_page_s ┆ num_clicks ┆ … ┆ total_cost ┆ exits ┆ total_page_vi ┆ exit_rate │\n",
+       "│ ---            ┆ s             ┆ essions       ┆ ---        ┆   ┆ ---        ┆ ---   ┆ ews           ┆ ---       │\n",
+       "│ i64            ┆ ---           ┆ ---           ┆ i64        ┆   ┆ i64        ┆ i64   ┆ ---           ┆ f64       │\n",
+       "│                ┆ i64           ┆ i64           ┆            ┆   ┆            ┆       ┆ i64           ┆           │\n",
+       "╞════════════════╪═══════════════╪═══════════════╪════════════╪═══╪════════════╪═══════╪═══════════════╪═══════════╡\n",
+       "│ 1200           ┆ 10            ┆ 2             ┆ 100        ┆ … ┆ 50         ┆ 5     ┆ 50            ┆ 10.0      │\n",
+       "│ 1500           ┆ 15            ┆ 3             ┆ 150        ┆ … ┆ 75         ┆ 7     ┆ 70            ┆ 10.0      │\n",
+       "│ 60             ┆ 2             ┆ 1             ┆ 0          ┆ … ┆ 0          ┆ 2     ┆ 20            ┆ 10.0      │\n",
+       "│ 2500           ┆ 25            ┆ 5             ┆ 200        ┆ … ┆ 100        ┆ 10    ┆ 100           ┆ 10.0      │\n",
+       "└────────────────┴───────────────┴───────────────┴────────────┴───┴────────────┴───────┴───────────────┴───────────┘"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data.with_columns(pl.col('*').forge_web_traffic.exit_rate(exits_col='exits',total_page_views_col='total_page_views'))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Pages Per Session"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><style>\n",
+       ".dataframe > thead > tr,\n",
+       ".dataframe > tbody > tr {\n",
+       "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
+       "}\n",
+       "</style>\n",
+       "<small>shape: (4, 9)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>total_duration</th><th>total_sessions</th><th>single_page_sessions</th><th>num_clicks</th><th>num_impressions</th><th>total_cost</th><th>exits</th><th>total_page_views</th><th>pages_per_session</th></tr><tr><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>1200</td><td>10</td><td>2</td><td>100</td><td>1000</td><td>50</td><td>5</td><td>50</td><td>5.0</td></tr><tr><td>1500</td><td>15</td><td>3</td><td>150</td><td>1500</td><td>75</td><td>7</td><td>70</td><td>4.666667</td></tr><tr><td>60</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>2</td><td>20</td><td>10.0</td></tr><tr><td>2500</td><td>25</td><td>5</td><td>200</td><td>2000</td><td>100</td><td>10</td><td>100</td><td>4.0</td></tr></tbody></table></div>"
+      ],
+      "text/plain": [
+       "shape: (4, 9)\n",
+       "┌───────────────┬───────────────┬──────────────┬────────────┬───┬────────────┬───────┬──────────────┬──────────────┐\n",
+       "│ total_duratio ┆ total_session ┆ single_page_ ┆ num_clicks ┆ … ┆ total_cost ┆ exits ┆ total_page_v ┆ pages_per_se │\n",
+       "│ n             ┆ s             ┆ sessions     ┆ ---        ┆   ┆ ---        ┆ ---   ┆ iews         ┆ ssion        │\n",
+       "│ ---           ┆ ---           ┆ ---          ┆ i64        ┆   ┆ i64        ┆ i64   ┆ ---          ┆ ---          │\n",
+       "│ i64           ┆ i64           ┆ i64          ┆            ┆   ┆            ┆       ┆ i64          ┆ f64          │\n",
+       "╞═══════════════╪═══════════════╪══════════════╪════════════╪═══╪════════════╪═══════╪══════════════╪══════════════╡\n",
+       "│ 1200          ┆ 10            ┆ 2            ┆ 100        ┆ … ┆ 50         ┆ 5     ┆ 50           ┆ 5.0          │\n",
+       "│ 1500          ┆ 15            ┆ 3            ┆ 150        ┆ … ┆ 75         ┆ 7     ┆ 70           ┆ 4.666667     │\n",
+       "│ 60            ┆ 2             ┆ 1            ┆ 0          ┆ … ┆ 0          ┆ 2     ┆ 20           ┆ 10.0         │\n",
+       "│ 2500          ┆ 25            ┆ 5            ┆ 200        ┆ … ┆ 100        ┆ 10    ┆ 100          ┆ 4.0          │\n",
+       "└───────────────┴───────────────┴──────────────┴────────────┴───┴────────────┴───────┴──────────────┴──────────────┘"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data.with_columns(pl.col('*').forge_web_traffic.pages_per_session(total_page_views_col='total_page_views',total_sessions_col='total_sessions'))"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/pyproject.toml b/pyproject.toml
index be23a19..f99d3fb 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -17,8 +17,9 @@ dependencies = [
 [project.urls]
 "Documentation" = "https://docs.metric-forge.com"
 "Source" = "https://github.com/jrasband-dev/metric-forge"
-"Tracker" = "https://github.com/jrasband-dev/metric-forge/issues"
 "Changelog" = "https://github.com/jrasband-dev/metric-forge/releases"
+"Tracker" = "https://github.com/jrasband-dev/metric-forge/issues"
+
 "Contributors" = "https://github.com/jrasband-dev/metric-forge/graphs/contributors"
 "Repository Stats" = "https://github.com/jrasband-dev/metric-forge/pulse"
 "Download Stats" = "https://pypistats.org/packages/metric-forge"
diff --git a/readme.ipynb b/readme.ipynb
index 1724eb8..15f8030 100644
--- a/readme.ipynb
+++ b/readme.ipynb
@@ -41,1546 +41,6 @@
     "pip install metric-forge\n",
     "```"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Ecommerce\n",
-    "You can use Ecommerce Metrics in two different ways:\n",
-    "* With Polars\n",
-    "* As a Single Value Function (SVF)\n",
-    "\n",
-    "Metric Forge extends the Polars expression library; making it possible to perform row-wise-calculations for various metrics. In addition to mass calculations, you can also perform single value calculations that return just one value. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (5, 15)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>month</th><th>total_revenue</th><th>number_of_orders</th><th>cost_of_acquisition</th><th>new_customers</th><th>carts_created</th><th>completed_purchases</th><th>revenue_from_ads</th><th>advertising_spend</th><th>num_conversions</th><th>num_visitors</th><th>revenue_per_customer</th><th>average_customer_lifetime</th><th>num_customers_lost</th><th>total_customers_beginning</th></tr><tr><td>str</td><td>f64</td><td>i64</td><td>f64</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td><td>f64</td><td>i64</td><td>i64</td><td>f64</td><td>f64</td><td>i64</td><td>i64</td></tr></thead><tbody><tr><td>&quot;2023-01&quot;</td><td>87454.011885</td><td>991</td><td>22958.350559</td><td>406</td><td>1969</td><td>1425</td><td>81339.957696</td><td>5390.910169</td><td>300</td><td>13154</td><td>202.427329</td><td>3.159364</td><td>239</td><td>3306</td></tr><tr><td>&quot;2023-02&quot;</td><td>145071.430641</td><td>913</td><td>18736.874206</td><td>234</td><td>1506</td><td>1421</td><td>76875.083402</td><td>15585.037018</td><td>427</td><td>14762</td><td>116.173436</td><td>1.812245</td><td>124</td><td>4680</td></tr><tr><td>&quot;2023-03&quot;</td><td>123199.394181</td><td>1305</td><td>28355.586842</td><td>120</td><td>1497</td><td>965</td><td>116505.482191</td><td>14872.037954</td><td>367</td><td>10056</td><td>384.265156</td><td>4.771414</td><td>177</td><td>4675</td></tr><tr><td>&quot;2023-04&quot;</td><td>109865.84842</td><td>885</td><td>14184.81582</td><td>428</td><td>1963</td><td>1102</td><td>106008.046381</td><td>12337.204368</td><td>132</td><td>19948</td><td>144.356328</td><td>3.395462</td><td>299</td><td>2972</td></tr><tr><td>&quot;2023-05&quot;</td><td>65601.864044</td><td>691</td><td>18764.339456</td><td>266</td><td>1009</td><td>801</td><td>97258.809912</td><td>5351.995568</td><td>147</td><td>13110</td><td>275.734601</td><td>3.77914</td><td>296</td><td>3768</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (5, 15)\n",
-       "┌─────────┬──────────────┬──────────────┬──────────────┬───┬─────────────┬─────────────┬─────────────┬─────────────┐\n",
-       "│ month   ┆ total_revenu ┆ number_of_or ┆ cost_of_acqu ┆ … ┆ revenue_per ┆ average_cus ┆ num_custome ┆ total_custo │\n",
-       "│ ---     ┆ e            ┆ ders         ┆ isition      ┆   ┆ _customer   ┆ tomer_lifet ┆ rs_lost     ┆ mers_beginn │\n",
-       "│ str     ┆ ---          ┆ ---          ┆ ---          ┆   ┆ ---         ┆ ime         ┆ ---         ┆ ing         │\n",
-       "│         ┆ f64          ┆ i64          ┆ f64          ┆   ┆ f64         ┆ ---         ┆ i64         ┆ ---         │\n",
-       "│         ┆              ┆              ┆              ┆   ┆             ┆ f64         ┆             ┆ i64         │\n",
-       "╞═════════╪══════════════╪══════════════╪══════════════╪═══╪═════════════╪═════════════╪═════════════╪═════════════╡\n",
-       "│ 2023-01 ┆ 87454.011885 ┆ 991          ┆ 22958.350559 ┆ … ┆ 202.427329  ┆ 3.159364    ┆ 239         ┆ 3306        │\n",
-       "│ 2023-02 ┆ 145071.43064 ┆ 913          ┆ 18736.874206 ┆ … ┆ 116.173436  ┆ 1.812245    ┆ 124         ┆ 4680        │\n",
-       "│         ┆ 1            ┆              ┆              ┆   ┆             ┆             ┆             ┆             │\n",
-       "│ 2023-03 ┆ 123199.39418 ┆ 1305         ┆ 28355.586842 ┆ … ┆ 384.265156  ┆ 4.771414    ┆ 177         ┆ 4675        │\n",
-       "│         ┆ 1            ┆              ┆              ┆   ┆             ┆             ┆             ┆             │\n",
-       "│ 2023-04 ┆ 109865.84842 ┆ 885          ┆ 14184.81582  ┆ … ┆ 144.356328  ┆ 3.395462    ┆ 299         ┆ 2972        │\n",
-       "│ 2023-05 ┆ 65601.864044 ┆ 691          ┆ 18764.339456 ┆ … ┆ 275.734601  ┆ 3.77914     ┆ 296         ┆ 3768        │\n",
-       "└─────────┴──────────────┴──────────────┴──────────────┴───┴─────────────┴─────────────┴─────────────┴─────────────┘"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from metric_forge.ecommerce import * \n",
-    "import polars as pl\n",
-    "data = pl.read_csv('datasets/ecommerce_metrics.csv')\n",
-    "data.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Customer Acquisition Cost"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (12, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>cost_of_acquisition</th><th>new_customers</th><th>customer_acquisition_cost</th></tr><tr><td>f64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>22958.350559</td><td>406</td><td>56.547661</td></tr><tr><td>18736.874206</td><td>234</td><td>80.072112</td></tr><tr><td>28355.586842</td><td>120</td><td>236.296557</td></tr><tr><td>14184.81582</td><td>428</td><td>33.142093</td></tr><tr><td>18764.339456</td><td>266</td><td>70.54263</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>33555.278842</td><td>188</td><td>178.485526</td></tr><tr><td>15990.213465</td><td>415</td><td>38.530635</td></tr><tr><td>25427.033152</td><td>113</td><td>225.017992</td></tr><tr><td>27772.437066</td><td>341</td><td>81.444097</td></tr><tr><td>11393.512382</td><td>364</td><td>31.300858</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (12, 3)\n",
-       "┌─────────────────────┬───────────────┬───────────────────────────┐\n",
-       "│ cost_of_acquisition ┆ new_customers ┆ customer_acquisition_cost │\n",
-       "│ ---                 ┆ ---           ┆ ---                       │\n",
-       "│ f64                 ┆ i64           ┆ f64                       │\n",
-       "╞═════════════════════╪═══════════════╪═══════════════════════════╡\n",
-       "│ 22958.350559        ┆ 406           ┆ 56.547661                 │\n",
-       "│ 18736.874206        ┆ 234           ┆ 80.072112                 │\n",
-       "│ 28355.586842        ┆ 120           ┆ 236.296557                │\n",
-       "│ 14184.81582         ┆ 428           ┆ 33.142093                 │\n",
-       "│ 18764.339456        ┆ 266           ┆ 70.54263                  │\n",
-       "│ …                   ┆ …             ┆ …                         │\n",
-       "│ 33555.278842        ┆ 188           ┆ 178.485526                │\n",
-       "│ 15990.213465        ┆ 415           ┆ 38.530635                 │\n",
-       "│ 25427.033152        ┆ 113           ┆ 225.017992                │\n",
-       "│ 27772.437066        ┆ 341           ┆ 81.444097                 │\n",
-       "│ 11393.512382        ┆ 364           ┆ 31.300858                 │\n",
-       "└─────────────────────┴───────────────┴───────────────────────────┘"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data.select(pl.col('cost_of_acquisition'),\n",
-    "            pl.col('new_customers'),\n",
-    "            pl.col('*').forge_ecommerce.customer_acquisition_cost('cost_of_acquisition', 'new_customers'))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Average Order Value"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (12, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>total_revenue</th><th>new_customers</th><th>average_order_value</th></tr><tr><td>f64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>87454.011885</td><td>406</td><td>88.248246</td></tr><tr><td>145071.430641</td><td>234</td><td>158.895324</td></tr><tr><td>123199.394181</td><td>120</td><td>94.405666</td></tr><tr><td>109865.84842</td><td>428</td><td>124.142202</td></tr><tr><td>65601.864044</td><td>266</td><td>94.937575</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>136617.614577</td><td>188</td><td>206.996386</td></tr><tr><td>110111.501174</td><td>415</td><td>114.819084</td></tr><tr><td>120807.25778</td><td>113</td><td>148.594413</td></tr><tr><td>52058.44943</td><td>341</td><td>99.920248</td></tr><tr><td>146990.985216</td><td>364</td><td>195.466736</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (12, 3)\n",
-       "┌───────────────┬───────────────┬─────────────────────┐\n",
-       "│ total_revenue ┆ new_customers ┆ average_order_value │\n",
-       "│ ---           ┆ ---           ┆ ---                 │\n",
-       "│ f64           ┆ i64           ┆ f64                 │\n",
-       "╞═══════════════╪═══════════════╪═════════════════════╡\n",
-       "│ 87454.011885  ┆ 406           ┆ 88.248246           │\n",
-       "│ 145071.430641 ┆ 234           ┆ 158.895324          │\n",
-       "│ 123199.394181 ┆ 120           ┆ 94.405666           │\n",
-       "│ 109865.84842  ┆ 428           ┆ 124.142202          │\n",
-       "│ 65601.864044  ┆ 266           ┆ 94.937575           │\n",
-       "│ …             ┆ …             ┆ …                   │\n",
-       "│ 136617.614577 ┆ 188           ┆ 206.996386          │\n",
-       "│ 110111.501174 ┆ 415           ┆ 114.819084          │\n",
-       "│ 120807.25778  ┆ 113           ┆ 148.594413          │\n",
-       "│ 52058.44943   ┆ 341           ┆ 99.920248           │\n",
-       "│ 146990.985216 ┆ 364           ┆ 195.466736          │\n",
-       "└───────────────┴───────────────┴─────────────────────┘"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data.select(pl.col('total_revenue'),\n",
-    "            pl.col('new_customers'),\n",
-    "            pl.col('*').forge_ecommerce.average_order_value('total_revenue', 'number_of_orders'))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Cart Abandonment Rate"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (12, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>carts_created</th><th>completed_purchases</th><th>cart_abandonment_rate</th></tr><tr><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>1969</td><td>1425</td><td>27.628238</td></tr><tr><td>1506</td><td>1421</td><td>5.64409</td></tr><tr><td>1497</td><td>965</td><td>35.537742</td></tr><tr><td>1963</td><td>1102</td><td>43.861437</td></tr><tr><td>1009</td><td>801</td><td>20.61447</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>1108</td><td>601</td><td>45.758123</td></tr><tr><td>1975</td><td>1395</td><td>29.367089</td></tr><tr><td>800</td><td>669</td><td>16.375</td></tr><tr><td>2005</td><td>1215</td><td>39.401496</td></tr><tr><td>1704</td><td>855</td><td>49.823944</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (12, 3)\n",
-       "┌───────────────┬─────────────────────┬───────────────────────┐\n",
-       "│ carts_created ┆ completed_purchases ┆ cart_abandonment_rate │\n",
-       "│ ---           ┆ ---                 ┆ ---                   │\n",
-       "│ i64           ┆ i64                 ┆ f64                   │\n",
-       "╞═══════════════╪═════════════════════╪═══════════════════════╡\n",
-       "│ 1969          ┆ 1425                ┆ 27.628238             │\n",
-       "│ 1506          ┆ 1421                ┆ 5.64409               │\n",
-       "│ 1497          ┆ 965                 ┆ 35.537742             │\n",
-       "│ 1963          ┆ 1102                ┆ 43.861437             │\n",
-       "│ 1009          ┆ 801                 ┆ 20.61447              │\n",
-       "│ …             ┆ …                   ┆ …                     │\n",
-       "│ 1108          ┆ 601                 ┆ 45.758123             │\n",
-       "│ 1975          ┆ 1395                ┆ 29.367089             │\n",
-       "│ 800           ┆ 669                 ┆ 16.375                │\n",
-       "│ 2005          ┆ 1215                ┆ 39.401496             │\n",
-       "│ 1704          ┆ 855                 ┆ 49.823944             │\n",
-       "└───────────────┴─────────────────────┴───────────────────────┘"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data.select(pl.col('carts_created'),\n",
-    "            pl.col('completed_purchases'),\n",
-    "            pl.col('*').forge_ecommerce.cart_abandonment_rate('carts_created', 'completed_purchases'))\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Return on Advertising Spend"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (12, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>revenue_from_ads</th><th>advertising_spend</th><th>return_on_advertising_spend</th></tr><tr><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>81339.957696</td><td>5390.910169</td><td>15.088353</td></tr><tr><td>76875.083402</td><td>15585.037018</td><td>4.932621</td></tr><tr><td>116505.482191</td><td>14872.037954</td><td>7.833861</td></tr><tr><td>106008.046381</td><td>12337.204368</td><td>8.59255</td></tr><tr><td>97258.809912</td><td>5351.995568</td><td>18.172438</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>116872.977654</td><td>24754.388513</td><td>4.721303</td></tr><tr><td>84633.082292</td><td>20148.99937</td><td>4.200362</td></tr><tr><td>54839.926382</td><td>28157.521963</td><td>1.947612</td></tr><tr><td>56664.615513</td><td>21276.925638</td><td>2.663196</td></tr><tr><td>44874.024516</td><td>27873.991889</td><td>1.609889</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (12, 3)\n",
-       "┌──────────────────┬───────────────────┬─────────────────────────────┐\n",
-       "│ revenue_from_ads ┆ advertising_spend ┆ return_on_advertising_spend │\n",
-       "│ ---              ┆ ---               ┆ ---                         │\n",
-       "│ f64              ┆ f64               ┆ f64                         │\n",
-       "╞══════════════════╪═══════════════════╪═════════════════════════════╡\n",
-       "│ 81339.957696     ┆ 5390.910169       ┆ 15.088353                   │\n",
-       "│ 76875.083402     ┆ 15585.037018      ┆ 4.932621                    │\n",
-       "│ 116505.482191    ┆ 14872.037954      ┆ 7.833861                    │\n",
-       "│ 106008.046381    ┆ 12337.204368      ┆ 8.59255                     │\n",
-       "│ 97258.809912     ┆ 5351.995568       ┆ 18.172438                   │\n",
-       "│ …                ┆ …                 ┆ …                           │\n",
-       "│ 116872.977654    ┆ 24754.388513      ┆ 4.721303                    │\n",
-       "│ 84633.082292     ┆ 20148.99937       ┆ 4.200362                    │\n",
-       "│ 54839.926382     ┆ 28157.521963      ┆ 1.947612                    │\n",
-       "│ 56664.615513     ┆ 21276.925638      ┆ 2.663196                    │\n",
-       "│ 44874.024516     ┆ 27873.991889      ┆ 1.609889                    │\n",
-       "└──────────────────┴───────────────────┴─────────────────────────────┘"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data.select(pl.col('revenue_from_ads'),\n",
-    "            pl.col('advertising_spend'),\n",
-    "            pl.col('*').forge_ecommerce.return_on_advertising_spend('revenue_from_ads', 'advertising_spend'))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Conversion Rate"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (12, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>num_conversions</th><th>num_visitors</th><th>conversion_rate</th></tr><tr><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>300</td><td>13154</td><td>2.280675</td></tr><tr><td>427</td><td>14762</td><td>2.892562</td></tr><tr><td>367</td><td>10056</td><td>3.649562</td></tr><tr><td>132</td><td>19948</td><td>0.66172</td></tr><tr><td>147</td><td>13110</td><td>1.121281</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>392</td><td>8840</td><td>4.434389</td></tr><tr><td>198</td><td>6028</td><td>3.284672</td></tr><tr><td>271</td><td>12385</td><td>2.188131</td></tr><tr><td>459</td><td>5502</td><td>8.342421</td></tr><tr><td>313</td><td>11910</td><td>2.628044</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (12, 3)\n",
-       "┌─────────────────┬──────────────┬─────────────────┐\n",
-       "│ num_conversions ┆ num_visitors ┆ conversion_rate │\n",
-       "│ ---             ┆ ---          ┆ ---             │\n",
-       "│ i64             ┆ i64          ┆ f64             │\n",
-       "╞═════════════════╪══════════════╪═════════════════╡\n",
-       "│ 300             ┆ 13154        ┆ 2.280675        │\n",
-       "│ 427             ┆ 14762        ┆ 2.892562        │\n",
-       "│ 367             ┆ 10056        ┆ 3.649562        │\n",
-       "│ 132             ┆ 19948        ┆ 0.66172         │\n",
-       "│ 147             ┆ 13110        ┆ 1.121281        │\n",
-       "│ …               ┆ …            ┆ …               │\n",
-       "│ 392             ┆ 8840         ┆ 4.434389        │\n",
-       "│ 198             ┆ 6028         ┆ 3.284672        │\n",
-       "│ 271             ┆ 12385        ┆ 2.188131        │\n",
-       "│ 459             ┆ 5502         ┆ 8.342421        │\n",
-       "│ 313             ┆ 11910        ┆ 2.628044        │\n",
-       "└─────────────────┴──────────────┴─────────────────┘"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data.select(pl.col('num_conversions'),\n",
-    "            pl.col('num_visitors'),\n",
-    "            pl.col('*').forge_ecommerce.conversion_rate('num_conversions', 'num_visitors'))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Customer Lifetime Value"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (12, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>revenue_per_customer</th><th>average_customer_lifetime</th><th>customer_lifetime_value</th></tr><tr><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>202.427329</td><td>3.159364</td><td>639.54169</td></tr><tr><td>116.173436</td><td>1.812245</td><td>210.534716</td></tr><tr><td>384.265156</td><td>4.771414</td><td>1833.488253</td></tr><tr><td>144.356328</td><td>3.395462</td><td>490.156408</td></tr><tr><td>275.734601</td><td>3.77914</td><td>1042.039585</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>290.148089</td><td>2.182535</td><td>633.258286</td></tr><tr><td>325.310229</td><td>1.421977</td><td>462.583676</td></tr><tr><td>378.206435</td><td>2.826138</td><td>1068.863683</td></tr><tr><td>155.732582</td><td>1.873762</td><td>291.805755</td></tr><tr><td>341.766952</td><td>2.66604</td><td>911.164293</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (12, 3)\n",
-       "┌──────────────────────┬───────────────────────────┬─────────────────────────┐\n",
-       "│ revenue_per_customer ┆ average_customer_lifetime ┆ customer_lifetime_value │\n",
-       "│ ---                  ┆ ---                       ┆ ---                     │\n",
-       "│ f64                  ┆ f64                       ┆ f64                     │\n",
-       "╞══════════════════════╪═══════════════════════════╪═════════════════════════╡\n",
-       "│ 202.427329           ┆ 3.159364                  ┆ 639.54169               │\n",
-       "│ 116.173436           ┆ 1.812245                  ┆ 210.534716              │\n",
-       "│ 384.265156           ┆ 4.771414                  ┆ 1833.488253             │\n",
-       "│ 144.356328           ┆ 3.395462                  ┆ 490.156408              │\n",
-       "│ 275.734601           ┆ 3.77914                   ┆ 1042.039585             │\n",
-       "│ …                    ┆ …                         ┆ …                       │\n",
-       "│ 290.148089           ┆ 2.182535                  ┆ 633.258286              │\n",
-       "│ 325.310229           ┆ 1.421977                  ┆ 462.583676              │\n",
-       "│ 378.206435           ┆ 2.826138                  ┆ 1068.863683             │\n",
-       "│ 155.732582           ┆ 1.873762                  ┆ 291.805755              │\n",
-       "│ 341.766952           ┆ 2.66604                   ┆ 911.164293              │\n",
-       "└──────────────────────┴───────────────────────────┴─────────────────────────┘"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data.select(pl.col('revenue_per_customer'),\n",
-    "            pl.col('average_customer_lifetime'),\n",
-    "            pl.col('*').forge_ecommerce.customer_lifetime_value(revenue_per_customer_column='revenue_per_customer',average_customer_lifetime_column='average_customer_lifetime',method='basic'))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Product Development\n",
-    "You can use Product Development Metrics in two different ways:\n",
-    "* With Polars\n",
-    "* As a Single Value Function (SVF)\n",
-    "\n",
-    "Metric Forge extends the Polars expression library; making it possible to perform row-wise-calculations for various metrics. In addition to mass calculations, you can also perform single value calculations that return just one value. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (10, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>feature_name</th><th>importance_score</th><th>satisfaction_score</th></tr><tr><td>str</td><td>i64</td><td>i64</td></tr></thead><tbody><tr><td>&quot;Feature1&quot;</td><td>8</td><td>7</td></tr><tr><td>&quot;Feature2&quot;</td><td>6</td><td>8</td></tr><tr><td>&quot;Feature3&quot;</td><td>7</td><td>9</td></tr><tr><td>&quot;Feature4&quot;</td><td>8</td><td>7</td></tr><tr><td>&quot;Feature5&quot;</td><td>6</td><td>6</td></tr><tr><td>&quot;Feature6&quot;</td><td>9</td><td>8</td></tr><tr><td>&quot;Feature7&quot;</td><td>7</td><td>9</td></tr><tr><td>&quot;Feature8&quot;</td><td>6</td><td>7</td></tr><tr><td>&quot;Feature9&quot;</td><td>9</td><td>8</td></tr><tr><td>&quot;Feature10&quot;</td><td>8</td><td>7</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (10, 3)\n",
-       "┌──────────────┬──────────────────┬────────────────────┐\n",
-       "│ feature_name ┆ importance_score ┆ satisfaction_score │\n",
-       "│ ---          ┆ ---              ┆ ---                │\n",
-       "│ str          ┆ i64              ┆ i64                │\n",
-       "╞══════════════╪══════════════════╪════════════════════╡\n",
-       "│ Feature1     ┆ 8                ┆ 7                  │\n",
-       "│ Feature2     ┆ 6                ┆ 8                  │\n",
-       "│ Feature3     ┆ 7                ┆ 9                  │\n",
-       "│ Feature4     ┆ 8                ┆ 7                  │\n",
-       "│ Feature5     ┆ 6                ┆ 6                  │\n",
-       "│ Feature6     ┆ 9                ┆ 8                  │\n",
-       "│ Feature7     ┆ 7                ┆ 9                  │\n",
-       "│ Feature8     ┆ 6                ┆ 7                  │\n",
-       "│ Feature9     ┆ 9                ┆ 8                  │\n",
-       "│ Feature10    ┆ 8                ┆ 7                  │\n",
-       "└──────────────┴──────────────────┴────────────────────┘"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import polars as pl\n",
-    "from metric_forge.product_development import *\n",
-    "data = pl.read_csv('datasets/customer-value.csv')\n",
-    "data"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Underserved Customer Needs"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (10, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>importance_score</th><th>satisfaction_score</th><th>opportunity_score</th></tr><tr><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>8</td><td>7</td><td>9.0</td></tr><tr><td>6</td><td>8</td><td>4.0</td></tr><tr><td>7</td><td>9</td><td>5.0</td></tr><tr><td>8</td><td>7</td><td>9.0</td></tr><tr><td>6</td><td>6</td><td>6.0</td></tr><tr><td>9</td><td>8</td><td>10.0</td></tr><tr><td>7</td><td>9</td><td>5.0</td></tr><tr><td>6</td><td>7</td><td>5.0</td></tr><tr><td>9</td><td>8</td><td>10.0</td></tr><tr><td>8</td><td>7</td><td>9.0</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (10, 3)\n",
-       "┌──────────────────┬────────────────────┬───────────────────┐\n",
-       "│ importance_score ┆ satisfaction_score ┆ opportunity_score │\n",
-       "│ ---              ┆ ---                ┆ ---               │\n",
-       "│ i64              ┆ i64                ┆ f64               │\n",
-       "╞══════════════════╪════════════════════╪═══════════════════╡\n",
-       "│ 8                ┆ 7                  ┆ 9.0               │\n",
-       "│ 6                ┆ 8                  ┆ 4.0               │\n",
-       "│ 7                ┆ 9                  ┆ 5.0               │\n",
-       "│ 8                ┆ 7                  ┆ 9.0               │\n",
-       "│ 6                ┆ 6                  ┆ 6.0               │\n",
-       "│ 9                ┆ 8                  ┆ 10.0              │\n",
-       "│ 7                ┆ 9                  ┆ 5.0               │\n",
-       "│ 6                ┆ 7                  ┆ 5.0               │\n",
-       "│ 9                ┆ 8                  ┆ 10.0              │\n",
-       "│ 8                ┆ 7                  ┆ 9.0               │\n",
-       "└──────────────────┴────────────────────┴───────────────────┘"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data.select(pl.col('importance_score'),\n",
-    "            pl.col('satisfaction_score'),\n",
-    "            pl.col('*').forge_product_dev.opportunity_score(importance_col='importance_score',satisfaction_col='satisfaction_score'))\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (10, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>importance_score</th><th>satisfaction_score</th><th>customer_value_delivered</th></tr><tr><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>8</td><td>7</td><td>0.56</td></tr><tr><td>6</td><td>8</td><td>0.48</td></tr><tr><td>7</td><td>9</td><td>0.63</td></tr><tr><td>8</td><td>7</td><td>0.56</td></tr><tr><td>6</td><td>6</td><td>0.36</td></tr><tr><td>9</td><td>8</td><td>0.72</td></tr><tr><td>7</td><td>9</td><td>0.63</td></tr><tr><td>6</td><td>7</td><td>0.42</td></tr><tr><td>9</td><td>8</td><td>0.72</td></tr><tr><td>8</td><td>7</td><td>0.56</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (10, 3)\n",
-       "┌──────────────────┬────────────────────┬──────────────────────────┐\n",
-       "│ importance_score ┆ satisfaction_score ┆ customer_value_delivered │\n",
-       "│ ---              ┆ ---                ┆ ---                      │\n",
-       "│ i64              ┆ i64                ┆ f64                      │\n",
-       "╞══════════════════╪════════════════════╪══════════════════════════╡\n",
-       "│ 8                ┆ 7                  ┆ 0.56                     │\n",
-       "│ 6                ┆ 8                  ┆ 0.48                     │\n",
-       "│ 7                ┆ 9                  ┆ 0.63                     │\n",
-       "│ 8                ┆ 7                  ┆ 0.56                     │\n",
-       "│ 6                ┆ 6                  ┆ 0.36                     │\n",
-       "│ 9                ┆ 8                  ┆ 0.72                     │\n",
-       "│ 7                ┆ 9                  ┆ 0.63                     │\n",
-       "│ 6                ┆ 7                  ┆ 0.42                     │\n",
-       "│ 9                ┆ 8                  ┆ 0.72                     │\n",
-       "│ 8                ┆ 7                  ┆ 0.56                     │\n",
-       "└──────────────────┴────────────────────┴──────────────────────────┘"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data.select(pl.col('importance_score'),\n",
-    "            pl.col('satisfaction_score'),\n",
-    "            pl.col('*').forge_product_dev.customer_value_delivered(importance_col='importance_score',satisfaction_col='satisfaction_score'))\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (10, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>importance_score</th><th>satisfaction_score</th><th>opp_to_add_value</th></tr><tr><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>8</td><td>7</td><td>0.24</td></tr><tr><td>6</td><td>8</td><td>0.12</td></tr><tr><td>7</td><td>9</td><td>0.07</td></tr><tr><td>8</td><td>7</td><td>0.24</td></tr><tr><td>6</td><td>6</td><td>0.24</td></tr><tr><td>9</td><td>8</td><td>0.18</td></tr><tr><td>7</td><td>9</td><td>0.07</td></tr><tr><td>6</td><td>7</td><td>0.18</td></tr><tr><td>9</td><td>8</td><td>0.18</td></tr><tr><td>8</td><td>7</td><td>0.24</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (10, 3)\n",
-       "┌──────────────────┬────────────────────┬──────────────────┐\n",
-       "│ importance_score ┆ satisfaction_score ┆ opp_to_add_value │\n",
-       "│ ---              ┆ ---                ┆ ---              │\n",
-       "│ i64              ┆ i64                ┆ f64              │\n",
-       "╞══════════════════╪════════════════════╪══════════════════╡\n",
-       "│ 8                ┆ 7                  ┆ 0.24             │\n",
-       "│ 6                ┆ 8                  ┆ 0.12             │\n",
-       "│ 7                ┆ 9                  ┆ 0.07             │\n",
-       "│ 8                ┆ 7                  ┆ 0.24             │\n",
-       "│ 6                ┆ 6                  ┆ 0.24             │\n",
-       "│ 9                ┆ 8                  ┆ 0.18             │\n",
-       "│ 7                ┆ 9                  ┆ 0.07             │\n",
-       "│ 6                ┆ 7                  ┆ 0.18             │\n",
-       "│ 9                ┆ 8                  ┆ 0.18             │\n",
-       "│ 8                ┆ 7                  ┆ 0.24             │\n",
-       "└──────────────────┴────────────────────┴──────────────────┘"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data.select(pl.col('importance_score'),\n",
-    "            pl.col('satisfaction_score'),\n",
-    "            pl.col('*').forge_product_dev.opportunity_to_add_value(importance_col='importance_score',satisfaction_col='satisfaction_score'))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (10, 4)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>importance_score</th><th>satisfaction_score_before</th><th>satisfaction_score_after</th><th>customer_value_created</th></tr><tr><td>i64</td><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>8</td><td>7</td><td>9</td><td>0.16</td></tr><tr><td>9</td><td>8</td><td>9</td><td>0.09</td></tr><tr><td>7</td><td>9</td><td>8</td><td>-0.07</td></tr><tr><td>8</td><td>7</td><td>8</td><td>0.08</td></tr><tr><td>6</td><td>6</td><td>8</td><td>0.12</td></tr><tr><td>9</td><td>8</td><td>9</td><td>0.09</td></tr><tr><td>7</td><td>9</td><td>8</td><td>-0.07</td></tr><tr><td>6</td><td>7</td><td>6</td><td>-0.06</td></tr><tr><td>9</td><td>8</td><td>8</td><td>0.0</td></tr><tr><td>8</td><td>7</td><td>7</td><td>0.0</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (10, 4)\n",
-       "┌──────────────────┬───────────────────────────┬──────────────────────────┬────────────────────────┐\n",
-       "│ importance_score ┆ satisfaction_score_before ┆ satisfaction_score_after ┆ customer_value_created │\n",
-       "│ ---              ┆ ---                       ┆ ---                      ┆ ---                    │\n",
-       "│ i64              ┆ i64                       ┆ i64                      ┆ f64                    │\n",
-       "╞══════════════════╪═══════════════════════════╪══════════════════════════╪════════════════════════╡\n",
-       "│ 8                ┆ 7                         ┆ 9                        ┆ 0.16                   │\n",
-       "│ 9                ┆ 8                         ┆ 9                        ┆ 0.09                   │\n",
-       "│ 7                ┆ 9                         ┆ 8                        ┆ -0.07                  │\n",
-       "│ 8                ┆ 7                         ┆ 8                        ┆ 0.08                   │\n",
-       "│ 6                ┆ 6                         ┆ 8                        ┆ 0.12                   │\n",
-       "│ 9                ┆ 8                         ┆ 9                        ┆ 0.09                   │\n",
-       "│ 7                ┆ 9                         ┆ 8                        ┆ -0.07                  │\n",
-       "│ 6                ┆ 7                         ┆ 6                        ┆ -0.06                  │\n",
-       "│ 9                ┆ 8                         ┆ 8                        ┆ 0.0                    │\n",
-       "│ 8                ┆ 7                         ┆ 7                        ┆ 0.0                    │\n",
-       "└──────────────────┴───────────────────────────┴──────────────────────────┴────────────────────────┘"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import polars as pl\n",
-    "data = pl.read_csv('datasets/customer-value-added.csv')\n",
-    "\n",
-    "data.select(pl.col('importance_score'),\n",
-    "            pl.col('satisfaction_score_before'),\n",
-    "            pl.col('satisfaction_score_after'),\n",
-    "            pl.col('*').forge_product_dev.customer_value_created(importance_col='importance_score'\n",
-    "                       ,satisfaction_after_col='satisfaction_score_after'\n",
-    "                       ,satisfaction_before_col='satisfaction_score_before'))\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Finance\n",
-    "\n",
-    "The Finance module contains financial statement objects that you can call certain methods off of to get key financial metrics. You need to define these objects prior to running calcuations. "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Financial Statement Objects"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<h2>Income Statement</h2>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (5, 49)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>date</th><th>Tax Effect Of Unusual Items</th><th>Tax Rate For Calcs</th><th>Normalized EBITDA</th><th>Total Unusual Items</th><th>Total Unusual Items Excluding Goodwill</th><th>Net Income From Continuing Operation Net Minority Interest</th><th>Reconciled Depreciation</th><th>Reconciled Cost Of Revenue</th><th>EBITDA</th><th>EBIT</th><th>Net Interest Income</th><th>Interest Expense</th><th>Interest Income</th><th>Normalized Income</th><th>Net Income From Continuing And Discontinued Operation</th><th>Total Expenses</th><th>Total Operating Income As Reported</th><th>Diluted Average Shares</th><th>Basic Average Shares</th><th>Diluted EPS</th><th>Basic EPS</th><th>Diluted NI Availto Com Stockholders</th><th>Net Income Common Stockholders</th><th>Net Income</th><th>Net Income Including Noncontrolling Interests</th><th>Net Income Continuous Operations</th><th>Tax Provision</th><th>Pretax Income</th><th>Other Income Expense</th><th>Other Non Operating Income Expenses</th><th>Special Income Charges</th><th>Other Special Charges</th><th>Restructuring And Mergern Acquisition</th><th>Earnings From Equity Interest</th><th>Net Non Operating Interest Income Expense</th><th>Interest Expense Non Operating</th><th>Interest Income Non Operating</th><th>Operating Income</th><th>Operating Expense</th><th>Depreciation Amortization Depletion Income Statement</th><th>Depreciation And Amortization In Income Statement</th><th>Selling General And Administration</th><th>General And Administrative Expense</th><th>Other Gand A</th><th>Gross Profit</th><th>Cost Of Revenue</th><th>Total Revenue</th><th>Operating Revenue</th></tr><tr><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>&quot;2023-12-31 00:00:00&quot;</td><td>-5.22e6</td><td>0.087</td><td>4.2800e9</td><td>-6e7</td><td>-6e7</td><td>3.0830e9</td><td>2.77e8</td><td>1.8501e10</td><td>4.2200e9</td><td>3.9430e9</td><td>-5.3500e8</td><td>5.65e8</td><td>3e7</td><td>3.1378e9</td><td>3.0830e9</td><td>1.9789e10</td><td>3.8640e9</td><td>3.029e8</td><td>3.015e8</td><td>10.18</td><td>10.23</td><td>3.0830e9</td><td>3.0830e9</td><td>3.0830e9</td><td>3.0830e9</td><td>3.0830e9</td><td>2.95e8</td><td>3.3780e9</td><td>-1.1e7</td><td>4e7</td><td>-6e7</td><td>null</td><td>6e7</td><td>9e6</td><td>-5.3500e8</td><td>5.65e8</td><td>3e7</td><td>3.9240e9</td><td>1.2000e9</td><td>1.89e8</td><td>1.89e8</td><td>1.0110e9</td><td>1.0110e9</td><td>1.0110e9</td><td>5.1240e9</td><td>1.8589e10</td><td>2.3713e10</td><td>6.3880e9</td></tr><tr><td>&quot;2022-12-31 00:00:00&quot;</td><td>-2.916e6</td><td>0.243</td><td>3.8110e9</td><td>-1.2e7</td><td>-1.2e7</td><td>2.3580e9</td><td>2.82e8</td><td>1.6126e10</td><td>3.7990e9</td><td>3.5170e9</td><td>-3.7700e8</td><td>4.03e8</td><td>2.6e7</td><td>2.3671e9</td><td>2.3580e9</td><td>1.7299e10</td><td>3.4620e9</td><td>3.258e8</td><td>3.244e8</td><td>7.24</td><td>7.27</td><td>2.3580e9</td><td>2.3580e9</td><td>2.3580e9</td><td>2.3580e9</td><td>2.3580e9</td><td>7.56e8</td><td>3.1140e9</td><td>1.7e7</td><td>1.1e7</td><td>-1.2e7</td><td>null</td><td>1.2e7</td><td>1.8e7</td><td>-3.7700e8</td><td>4.03e8</td><td>2.6e7</td><td>3.4740e9</td><td>1.0840e9</td><td>1.93e8</td><td>1.93e8</td><td>8.91e8</td><td>8.91e8</td><td>8.91e8</td><td>4.5580e9</td><td>1.6215e10</td><td>2.0773e10</td><td>5.4450e9</td></tr><tr><td>&quot;2021-12-31 00:00:00&quot;</td><td>-1.1696e7</td><td>0.068</td><td>2.0670e9</td><td>-1.7200e8</td><td>-1.7200e8</td><td>1.0990e9</td><td>2.95e8</td><td>1.0981e10</td><td>1.8950e9</td><td>1.6000e9</td><td>-3.9200e8</td><td>4.2e8</td><td>2.8e7</td><td>1.2593e9</td><td>1.0990e9</td><td>1.2099e10</td><td>1.7500e9</td><td>3.293e8</td><td>3.272e8</td><td>3.34</td><td>3.36</td><td>1.0990e9</td><td>1.0990e9</td><td>1.0990e9</td><td>1.0990e9</td><td>1.0990e9</td><td>8.1e7</td><td>1.1800e9</td><td>-1.8600e8</td><td>1e7</td><td>-1.7200e8</td><td>1.64e8</td><td>8e6</td><td>-2.4e7</td><td>-3.9200e8</td><td>4.2e8</td><td>2.8e7</td><td>1.7580e9</td><td>1.0430e9</td><td>2.2e8</td><td>2.2e8</td><td>8.23e8</td><td>8.23e8</td><td>8.23e8</td><td>2.8010e9</td><td>1.1056e10</td><td>1.3857e10</td><td>3.4900e9</td></tr><tr><td>&quot;2020-12-31 00:00:00&quot;</td><td>-7.209e7</td><td>0.27</td><td>7.24e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>4.78e8</td><td>8.9800e9</td><td>4.57e8</td><td>-2.1e7</td><td>-4.1800e8</td><td>4.45e8</td><td>2.7e7</td><td>-7.209e7</td><td>-2.6700e8</td><td>1.0220e10</td><td>8.4e7</td><td>3.258e8</td><td>3.258e8</td><td>-0.82</td><td>-0.82</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-1.9900e8</td><td>-4.6600e8</td><td>-3.9900e8</td><td>9e6</td><td>-2.6700e8</td><td>null</td><td>2.67e8</td><td>-1.4100e8</td><td>-4.1800e8</td><td>4.45e8</td><td>2.7e7</td><td>3.51e8</td><td>1.1080e9</td><td>3.46e8</td><td>3.46e8</td><td>7.62e8</td><td>7.62e8</td><td>7.62e8</td><td>1.4590e9</td><td>9.1120e9</td><td>1.0571e10</td><td>2.1190e9</td></tr><tr><td>&quot;2019-12-31 00:00:00&quot;</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>-1.5400e8</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (5, 49)\n",
-       "┌─────────────┬─────────────┬─────────────┬─────────────┬───┬─────────────┬─────────────┬─────────────┬────────────┐\n",
-       "│ date        ┆ Tax Effect  ┆ Tax Rate    ┆ Normalized  ┆ … ┆ Gross       ┆ Cost Of     ┆ Total       ┆ Operating  │\n",
-       "│ ---         ┆ Of Unusual  ┆ For Calcs   ┆ EBITDA      ┆   ┆ Profit      ┆ Revenue     ┆ Revenue     ┆ Revenue    │\n",
-       "│ str         ┆ Items       ┆ ---         ┆ ---         ┆   ┆ ---         ┆ ---         ┆ ---         ┆ ---        │\n",
-       "│             ┆ ---         ┆ f64         ┆ f64         ┆   ┆ f64         ┆ f64         ┆ f64         ┆ f64        │\n",
-       "│             ┆ f64         ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
-       "╞═════════════╪═════════════╪═════════════╪═════════════╪═══╪═════════════╪═════════════╪═════════════╪════════════╡\n",
-       "│ 2023-12-31  ┆ -5.22e6     ┆ 0.087       ┆ 4.2800e9    ┆ … ┆ 5.1240e9    ┆ 1.8589e10   ┆ 2.3713e10   ┆ 6.3880e9   │\n",
-       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
-       "│ 2022-12-31  ┆ -2.916e6    ┆ 0.243       ┆ 3.8110e9    ┆ … ┆ 4.5580e9    ┆ 1.6215e10   ┆ 2.0773e10   ┆ 5.4450e9   │\n",
-       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
-       "│ 2021-12-31  ┆ -1.1696e7   ┆ 0.068       ┆ 2.0670e9    ┆ … ┆ 2.8010e9    ┆ 1.1056e10   ┆ 1.3857e10   ┆ 3.4900e9   │\n",
-       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
-       "│ 2020-12-31  ┆ -7.209e7    ┆ 0.27        ┆ 7.24e8      ┆ … ┆ 1.4590e9    ┆ 9.1120e9    ┆ 1.0571e10   ┆ 2.1190e9   │\n",
-       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
-       "│ 2019-12-31  ┆ null        ┆ null        ┆ null        ┆ … ┆ null        ┆ null        ┆ null        ┆ null       │\n",
-       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
-       "└─────────────┴─────────────┴─────────────┴─────────────┴───┴─────────────┴─────────────┴─────────────┴────────────┘"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<h2>Balance Sheet</h2>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (5, 69)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>date</th><th>Ordinary Shares Number</th><th>Share Issued</th><th>Net Debt</th><th>Total Debt</th><th>Tangible Book Value</th><th>Invested Capital</th><th>Working Capital</th><th>Net Tangible Assets</th><th>Capital Lease Obligations</th><th>Common Stock Equity</th><th>Total Capitalization</th><th>Total Equity Gross Minority Interest</th><th>Stockholders Equity</th><th>Gains Losses Not Affecting Retained Earnings</th><th>Other Equity Adjustments</th><th>Treasury Stock</th><th>Retained Earnings</th><th>Additional Paid In Capital</th><th>Capital Stock</th><th>Common Stock</th><th>Total Liabilities Net Minority Interest</th><th>Total Non Current Liabilities Net Minority Interest</th><th>Other Non Current Liabilities</th><th>Non Current Deferred Liabilities</th><th>Non Current Deferred Revenue</th><th>Non Current Deferred Taxes Liabilities</th><th>Long Term Debt And Capital Lease Obligation</th><th>Long Term Capital Lease Obligation</th><th>Long Term Debt</th><th>Current Liabilities</th><th>Other Current Liabilities</th><th>Current Debt And Capital Lease Obligation</th><th>Current Debt</th><th>Payables And Accrued Expenses</th><th>Current Accrued Expenses</th><th>Payables</th><th>Accounts Payable</th><th>Total Assets</th><th>Total Non Current Assets</th><th>Other Non Current Assets</th><th>Non Current Deferred Assets</th><th>Non Current Deferred Taxes Assets</th><th>Non Current Note Receivables</th><th>Investments And Advances</th><th>Long Term Equity Investment</th><th>Goodwill And Other Intangible Assets</th><th>Other Intangible Assets</th><th>Goodwill</th><th>Net PPE</th><th>Accumulated Depreciation</th><th>Gross PPE</th><th>Construction In Progress</th><th>Other Properties</th><th>Machinery Furniture Equipment</th><th>Buildings And Improvements</th><th>Land And Improvements</th><th>Properties</th><th>Current Assets</th><th>Other Current Assets</th><th>Assets Held For Sale Current</th><th>Prepaid Assets</th><th>Receivables</th><th>Accounts Receivable</th><th>Allowance For Doubtful Accounts Receivable</th><th>Gross Accounts Receivable</th><th>Cash Cash Equivalents And Short Term Investments</th><th>Cash And Cash Equivalents</th><th>Cash Financial</th></tr><tr><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>&quot;2023-12-31 00:00:00&quot;</td><td>2.90539975e8</td><td>2.90539975e8</td><td>1.1535e10</td><td>1.2760e10</td><td>-1.8758e10</td><td>1.1191e10</td><td>-4.4510e9</td><td>-1.8758e10</td><td>8.87e8</td><td>-6.8200e8</td><td>1.0638e10</td><td>-6.8200e8</td><td>-6.8200e8</td><td>-6.4700e8</td><td>-6.4700e8</td><td>2.0929e10</td><td>1.4838e10</td><td>6.0510e9</td><td>5e6</td><td>5e6</td><td>2.6356e10</td><td>1.8594e10</td><td>5.1600e9</td><td>1.2270e9</td><td>1.0180e9</td><td>2.09e8</td><td>1.2207e10</td><td>8.87e8</td><td>1.1320e10</td><td>7.7620e9</td><td>3.3280e9</td><td>5.53e8</td><td>5.53e8</td><td>3.8810e9</td><td>3.1430e9</td><td>7.38e8</td><td>7.38e8</td><td>2.5674e10</td><td>2.2363e10</td><td>6.58e8</td><td>6.73e8</td><td>6.73e8</td><td>1.38e8</td><td>3.08e8</td><td>3.08e8</td><td>1.8076e10</td><td>9.1900e9</td><td>8.8860e9</td><td>2.5100e9</td><td>-8.9000e8</td><td>3.4000e9</td><td>7.2e7</td><td>9.29e8</td><td>6.22e8</td><td>1.1080e9</td><td>6.69e8</td><td>0.0</td><td>3.3110e9</td><td>2.61e8</td><td>null</td><td>null</td><td>2.7120e9</td><td>2.7120e9</td><td>-1.9700e8</td><td>2.9090e9</td><td>3.38e8</td><td>3.38e8</td><td>null</td></tr><tr><td>&quot;2022-12-31 00:00:00&quot;</td><td>3.106e8</td><td>3.106e8</td><td>9.5570e9</td><td>1.1098e10</td><td>-1.7051e10</td><td>1.0632e10</td><td>-4.0260e9</td><td>-1.7051e10</td><td>1.0340e9</td><td>5.68e8</td><td>9.9480e9</td><td>5.68e8</td><td>5.68e8</td><td>-7.2900e8</td><td>-7.2900e8</td><td>1.7015e10</td><td>1.2342e10</td><td>5.9650e9</td><td>5e6</td><td>5e6</td><td>2.4247e10</td><td>1.6908e10</td><td>5.1220e9</td><td>1.3720e9</td><td>1.0590e9</td><td>3.13e8</td><td>1.0414e10</td><td>1.0340e9</td><td>9.3800e9</td><td>7.3390e9</td><td>3.3140e9</td><td>6.84e8</td><td>6.84e8</td><td>3.3410e9</td><td>2.5950e9</td><td>7.46e8</td><td>7.46e8</td><td>2.4815e10</td><td>2.1502e10</td><td>5.84e8</td><td>2.4e8</td><td>2.4e8</td><td>1.52e8</td><td>3.35e8</td><td>3.35e8</td><td>1.7619e10</td><td>8.7470e9</td><td>8.8720e9</td><td>2.5720e9</td><td>-8.7400e8</td><td>3.4460e9</td><td>3.6e7</td><td>9.87e8</td><td>6.49e8</td><td>1.0860e9</td><td>6.88e8</td><td>0.0</td><td>3.3130e9</td><td>2.35e8</td><td>null</td><td>null</td><td>2.5710e9</td><td>2.5710e9</td><td>-1.9100e8</td><td>2.7620e9</td><td>5.07e8</td><td>5.07e8</td><td>null</td></tr><tr><td>&quot;2021-12-31 00:00:00&quot;</td><td>3.273e8</td><td>3.273e8</td><td>8.7450e9</td><td>1.1236e10</td><td>-1.6585e10</td><td>1.1552e10</td><td>-2.7810e9</td><td>-1.6585e10</td><td>1.0980e9</td><td>1.4140e9</td><td>1.0747e10</td><td>1.4140e9</td><td>1.4140e9</td><td>-3.4200e8</td><td>-3.4200e8</td><td>1.4446e10</td><td>1.0305e10</td><td>5.8920e9</td><td>5e6</td><td>5e6</td><td>2.4139e10</td><td>1.7732e10</td><td>5.9510e9</td><td>1.3500e9</td><td>1.1810e9</td><td>1.69e8</td><td>1.0431e10</td><td>1.0980e9</td><td>9.3330e9</td><td>6.4070e9</td><td>2.5220e9</td><td>8.05e8</td><td>8.05e8</td><td>3.0800e9</td><td>2.3540e9</td><td>7.26e8</td><td>7.26e8</td><td>2.5553e10</td><td>2.1927e10</td><td>6.04e8</td><td>2.28e8</td><td>2.28e8</td><td>1.44e8</td><td>3.87e8</td><td>3.87e8</td><td>1.7999e10</td><td>8.9260e9</td><td>9.0730e9</td><td>2.5650e9</td><td>-8.5000e8</td><td>3.4150e9</td><td>1.37e8</td><td>1.0620e9</td><td>5.45e8</td><td>9.85e8</td><td>6.86e8</td><td>0.0</td><td>3.6260e9</td><td>2.51e8</td><td>null</td><td>2.51e8</td><td>1.9820e9</td><td>1.9820e9</td><td>-1.8700e8</td><td>2.1690e9</td><td>1.3930e9</td><td>1.3930e9</td><td>null</td></tr><tr><td>&quot;2020-12-31 00:00:00&quot;</td><td>3.244e8</td><td>3.244e8</td><td>9.4990e9</td><td>1.1199e10</td><td>-1.7734e10</td><td>1.0806e10</td><td>-2.9270e9</td><td>-1.7734e10</td><td>8.23e8</td><td>4.3e8</td><td>9.6330e9</td><td>4.3e8</td><td>4.3e8</td><td>-1.3500e8</td><td>-1.3500e8</td><td>1.4497e10</td><td>9.2060e9</td><td>5.8510e9</td><td>5e6</td><td>5e6</td><td>2.4271e10</td><td>1.8519e10</td><td>6.8680e9</td><td>1.6250e9</td><td>1.5420e9</td><td>8.3e7</td><td>1.0026e10</td><td>8.23e8</td><td>9.2030e9</td><td>5.7520e9</td><td>1.7690e9</td><td>1.1730e9</td><td>1.1730e9</td><td>2.8100e9</td><td>2.2830e9</td><td>5.27e8</td><td>5.27e8</td><td>2.4701e10</td><td>2.1876e10</td><td>6.16e8</td><td>2.49e8</td><td>2.49e8</td><td>1.59e8</td><td>4.22e8</td><td>null</td><td>1.8164e10</td><td>8.9890e9</td><td>9.1750e9</td><td>2.2660e9</td><td>-8.8800e8</td><td>3.1540e9</td><td>2.9e7</td><td>7.52e8</td><td>6.4e8</td><td>1.0450e9</td><td>6.88e8</td><td>0.0</td><td>2.8250e9</td><td>1.8e8</td><td>8e6</td><td>1.8e8</td><td>1.7680e9</td><td>1.7680e9</td><td>null</td><td>null</td><td>8.77e8</td><td>8.77e8</td><td>null</td></tr><tr><td>&quot;2019-12-31 00:00:00&quot;</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>2.55e8</td><td>2.52e8</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>2.25e8</td></tr></tbody></table></div>"
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-       "shape: (5, 69)\n",
-       "┌──────────────┬─────────────┬─────────────┬───────────┬───┬─────────────┬─────────────┬─────────────┬─────────────┐\n",
-       "│ date         ┆ Ordinary    ┆ Share       ┆ Net Debt  ┆ … ┆ Gross       ┆ Cash Cash   ┆ Cash And    ┆ Cash        │\n",
-       "│ ---          ┆ Shares      ┆ Issued      ┆ ---       ┆   ┆ Accounts    ┆ Equivalents ┆ Cash        ┆ Financial   │\n",
-       "│ str          ┆ Number      ┆ ---         ┆ f64       ┆   ┆ Receivable  ┆ And Shor…   ┆ Equivalents ┆ ---         │\n",
-       "│              ┆ ---         ┆ f64         ┆           ┆   ┆ ---         ┆ ---         ┆ ---         ┆ f64         │\n",
-       "│              ┆ f64         ┆             ┆           ┆   ┆ f64         ┆ f64         ┆ f64         ┆             │\n",
-       "╞══════════════╪═════════════╪═════════════╪═══════════╪═══╪═════════════╪═════════════╪═════════════╪═════════════╡\n",
-       "│ 2023-12-31   ┆ 2.90539975e ┆ 2.90539975e ┆ 1.1535e10 ┆ … ┆ 2.9090e9    ┆ 3.38e8      ┆ 3.38e8      ┆ null        │\n",
-       "│ 00:00:00     ┆ 8           ┆ 8           ┆           ┆   ┆             ┆             ┆             ┆             │\n",
-       "│ 2022-12-31   ┆ 3.106e8     ┆ 3.106e8     ┆ 9.5570e9  ┆ … ┆ 2.7620e9    ┆ 5.07e8      ┆ 5.07e8      ┆ null        │\n",
-       "│ 00:00:00     ┆             ┆             ┆           ┆   ┆             ┆             ┆             ┆             │\n",
-       "│ 2021-12-31   ┆ 3.273e8     ┆ 3.273e8     ┆ 8.7450e9  ┆ … ┆ 2.1690e9    ┆ 1.3930e9    ┆ 1.3930e9    ┆ null        │\n",
-       "│ 00:00:00     ┆             ┆             ┆           ┆   ┆             ┆             ┆             ┆             │\n",
-       "│ 2020-12-31   ┆ 3.244e8     ┆ 3.244e8     ┆ 9.4990e9  ┆ … ┆ null        ┆ 8.77e8      ┆ 8.77e8      ┆ null        │\n",
-       "│ 00:00:00     ┆             ┆             ┆           ┆   ┆             ┆             ┆             ┆             │\n",
-       "│ 2019-12-31   ┆ null        ┆ null        ┆ null      ┆ … ┆ null        ┆ null        ┆ null        ┆ 2.25e8      │\n",
-       "│ 00:00:00     ┆             ┆             ┆           ┆   ┆             ┆             ┆             ┆             │\n",
-       "└──────────────┴─────────────┴─────────────┴───────────┴───┴─────────────┴─────────────┴─────────────┴─────────────┘"
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-       "<h2>Cash Flow</h2>"
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-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (5, 44)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>date</th><th>Free Cash Flow</th><th>Repurchase Of Capital Stock</th><th>Repayment Of Debt</th><th>Issuance Of Debt</th><th>Issuance Of Capital Stock</th><th>Capital Expenditure</th><th>End Cash Position</th><th>Beginning Cash Position</th><th>Changes In Cash</th><th>Financing Cash Flow</th><th>Cash Flow From Continuing Financing Activities</th><th>Net Other Financing Charges</th><th>Cash Dividends Paid</th><th>Common Stock Dividend Paid</th><th>Net Common Stock Issuance</th><th>Common Stock Payments</th><th>Common Stock Issuance</th><th>Net Issuance Payments Of Debt</th><th>Net Short Term Debt Issuance</th><th>Net Long Term Debt Issuance</th><th>Long Term Debt Payments</th><th>Long Term Debt Issuance</th><th>Investing Cash Flow</th><th>Cash Flow From Continuing Investing Activities</th><th>Net Other Investing Changes</th><th>Net Business Purchase And Sale</th><th>Sale Of Business</th><th>Purchase Of Business</th><th>Net PPE Purchase And Sale</th><th>Sale Of PPE</th><th>Capital Expenditure Reported</th><th>Operating Cash Flow</th><th>Cash Flow From Continuing Operating Activities</th><th>Change In Working Capital</th><th>Other Non Cash Items</th><th>Stock Based Compensation</th><th>Deferred Tax</th><th>Deferred Income Tax</th><th>Depreciation Amortization Depletion</th><th>Depreciation And Amortization</th><th>Depreciation</th><th>Operating Gains Losses</th><th>Net Income From Continuing Operations</th></tr><tr><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>&quot;2023-12-31 00:00:00&quot;</td><td>2.7180e9</td><td>-3.9530e9</td><td>-6.8400e8</td><td>1.9180e9</td><td>2.9e7</td><td>-4.5200e8</td><td>3.66e8</td><td>5.25e8</td><td>-1.5900e8</td><td>-2.8640e9</td><td>-2.8640e9</td><td>-1.3300e8</td><td>-5.8700e8</td><td>-5.8700e8</td><td>-3.9240e9</td><td>-3.9530e9</td><td>2.9e7</td><td>1.7800e9</td><td>5.46e8</td><td>1.2340e9</td><td>-6.8400e8</td><td>1.9180e9</td><td>-4.6500e8</td><td>-4.6500e8</td><td>1.7e7</td><td>-1.0100e8</td><td>null</td><td>-1.0100e8</td><td>7.1e7</td><td>7.1e7</td><td>-4.5200e8</td><td>3.1700e9</td><td>3.1700e9</td><td>6.9e7</td><td>1.48e8</td><td>2.05e8</td><td>-6.1200e8</td><td>-6.1200e8</td><td>2.77e8</td><td>2.77e8</td><td>2.77e8</td><td>null</td><td>3.0830e9</td></tr><tr><td>&quot;2022-12-31 00:00:00&quot;</td><td>2.0310e9</td><td>-2.5660e9</td><td>-8.0400e8</td><td>9.83e8</td><td>0.0</td><td>-3.3200e8</td><td>5.25e8</td><td>1.4210e9</td><td>-8.9600e8</td><td>-2.9620e9</td><td>-2.9620e9</td><td>-7.2e7</td><td>-3.2100e8</td><td>-3.2100e8</td><td>-2.5660e9</td><td>-2.5660e9</td><td>0.0</td><td>-3e6</td><td>-1.8200e8</td><td>1.79e8</td><td>-8.0400e8</td><td>9.83e8</td><td>-2.9700e8</td><td>-2.9700e8</td><td>3.4e7</td><td>0.0</td><td>null</td><td>0.0</td><td>1e6</td><td>1e6</td><td>-3.3200e8</td><td>2.3630e9</td><td>2.3630e9</td><td>-5.4200e8</td><td>-2.0700e8</td><td>1.92e8</td><td>2.8e8</td><td>2.8e8</td><td>2.82e8</td><td>2.82e8</td><td>2.82e8</td><td>null</td><td>2.3580e9</td></tr><tr><td>&quot;2021-12-31 00:00:00&quot;</td><td>9.94e8</td><td>0.0</td><td>-2.1740e9</td><td>1.7930e9</td><td>2e6</td><td>-1.8300e8</td><td>1.4210e9</td><td>8.94e8</td><td>5.27e8</td><td>-4.6300e8</td><td>-4.6300e8</td><td>-2.3400e8</td><td>0.0</td><td>0.0</td><td>2e6</td><td>0.0</td><td>2e6</td><td>-2.3100e8</td><td>1.5e8</td><td>-3.8100e8</td><td>-2.1740e9</td><td>1.7930e9</td><td>-1.8700e8</td><td>-1.8700e8</td><td>-1.6e7</td><td>0.0</td><td>null</td><td>0.0</td><td>1.2e7</td><td>1.2e7</td><td>-1.8300e8</td><td>1.1770e9</td><td>1.1770e9</td><td>1.1e8</td><td>-3.9200e8</td><td>1.82e8</td><td>-2.8100e8</td><td>-2.8100e8</td><td>2.95e8</td><td>2.95e8</td><td>2.95e8</td><td>1.64e8</td><td>1.0990e9</td></tr><tr><td>&quot;2020-12-31 00:00:00&quot;</td><td>1.5040e9</td><td>-1.5000e8</td><td>-1.8870e9</td><td>3.5610e9</td><td>0.0</td><td>-1.3500e8</td><td>8.94e8</td><td>2.53e8</td><td>6.41e8</td><td>-1.0330e9</td><td>-1.0330e9</td><td>-1.1100e8</td><td>-1.5600e8</td><td>-1.5600e8</td><td>-1.5000e8</td><td>-1.5000e8</td><td>0.0</td><td>-6.1600e8</td><td>-2.2900e9</td><td>1.6740e9</td><td>-1.8870e9</td><td>3.5610e9</td><td>3.5e7</td><td>3.5e7</td><td>-9e7</td><td>2.6e8</td><td>2.6e8</td><td>null</td><td>2.6e8</td><td>2.6e8</td><td>-1.3500e8</td><td>1.6390e9</td><td>1.6390e9</td><td>-2.8e7</td><td>1.7300e9</td><td>2.01e8</td><td>-4.7800e8</td><td>-4.7800e8</td><td>4.78e8</td><td>4.78e8</td><td>4.78e8</td><td>3e6</td><td>-2.6700e8</td></tr><tr><td>&quot;2019-12-31 00:00:00&quot;</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>3.95e8</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>-1.4700e8</td><td>null</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (5, 44)\n",
-       "┌─────────────┬─────────────┬─────────────┬─────────────┬───┬─────────────┬─────────────┬─────────────┬────────────┐\n",
-       "│ date        ┆ Free Cash   ┆ Repurchase  ┆ Repayment   ┆ … ┆ Depreciatio ┆ Depreciatio ┆ Operating   ┆ Net Income │\n",
-       "│ ---         ┆ Flow        ┆ Of Capital  ┆ Of Debt     ┆   ┆ n And Amort ┆ n           ┆ Gains       ┆ From       │\n",
-       "│ str         ┆ ---         ┆ Stock       ┆ ---         ┆   ┆ ization     ┆ ---         ┆ Losses      ┆ Continuing │\n",
-       "│             ┆ f64         ┆ ---         ┆ f64         ┆   ┆ ---         ┆ f64         ┆ ---         ┆ Ope…       │\n",
-       "│             ┆             ┆ f64         ┆             ┆   ┆ f64         ┆             ┆ f64         ┆ ---        │\n",
-       "│             ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆ f64        │\n",
-       "╞═════════════╪═════════════╪═════════════╪═════════════╪═══╪═════════════╪═════════════╪═════════════╪════════════╡\n",
-       "│ 2023-12-31  ┆ 2.7180e9    ┆ -3.9530e9   ┆ -6.8400e8   ┆ … ┆ 2.77e8      ┆ 2.77e8      ┆ null        ┆ 3.0830e9   │\n",
-       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
-       "│ 2022-12-31  ┆ 2.0310e9    ┆ -2.5660e9   ┆ -8.0400e8   ┆ … ┆ 2.82e8      ┆ 2.82e8      ┆ null        ┆ 2.3580e9   │\n",
-       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
-       "│ 2021-12-31  ┆ 9.94e8      ┆ 0.0         ┆ -2.1740e9   ┆ … ┆ 2.95e8      ┆ 2.95e8      ┆ 1.64e8      ┆ 1.0990e9   │\n",
-       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
-       "│ 2020-12-31  ┆ 1.5040e9    ┆ -1.5000e8   ┆ -1.8870e9   ┆ … ┆ 4.78e8      ┆ 4.78e8      ┆ 3e6         ┆ -2.6700e8  │\n",
-       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
-       "│ 2019-12-31  ┆ null        ┆ null        ┆ null        ┆ … ┆ null        ┆ null        ┆ -1.4700e8   ┆ null       │\n",
-       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
-       "└─────────────┴─────────────┴─────────────┴─────────────┴───┴─────────────┴─────────────┴─────────────┴────────────┘"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "FinancialStatements(ticker=MAR)"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from metric_forge import *\n",
-    "\n",
-    "fs = import_financials(ticker='MAR',engine='yfinance')\n",
-    "fs"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Income Statement"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (5, 50)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>date</th><th>Tax Effect Of Unusual Items</th><th>Tax Rate For Calcs</th><th>Normalized EBITDA</th><th>Total Unusual Items</th><th>Total Unusual Items Excluding Goodwill</th><th>Net Income From Continuing Operation Net Minority Interest</th><th>Reconciled Depreciation</th><th>Reconciled Cost Of Revenue</th><th>EBITDA</th><th>EBIT</th><th>Net Interest Income</th><th>Interest Expense</th><th>Interest Income</th><th>Normalized Income</th><th>Net Income From Continuing And Discontinued Operation</th><th>Total Expenses</th><th>Total Operating Income As Reported</th><th>Diluted Average Shares</th><th>Basic Average Shares</th><th>Diluted EPS</th><th>Basic EPS</th><th>Diluted NI Availto Com Stockholders</th><th>Net Income Common Stockholders</th><th>Net Income</th><th>Net Income Including Noncontrolling Interests</th><th>Net Income Continuous Operations</th><th>Tax Provision</th><th>Pretax Income</th><th>Other Income Expense</th><th>Other Non Operating Income Expenses</th><th>Special Income Charges</th><th>Other Special Charges</th><th>Restructuring And Mergern Acquisition</th><th>Earnings From Equity Interest</th><th>Net Non Operating Interest Income Expense</th><th>Interest Expense Non Operating</th><th>Interest Income Non Operating</th><th>Operating Income</th><th>Operating Expense</th><th>Depreciation Amortization Depletion Income Statement</th><th>Depreciation And Amortization In Income Statement</th><th>Selling General And Administration</th><th>General And Administrative Expense</th><th>Other Gand A</th><th>Gross Profit</th><th>Cost Of Revenue</th><th>Total Revenue</th><th>Operating Revenue</th><th>gross_profit_margin</th></tr><tr><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>&quot;2023-12-31 00:00:00&quot;</td><td>-5.22e6</td><td>0.087</td><td>4.2800e9</td><td>-6e7</td><td>-6e7</td><td>3.0830e9</td><td>2.77e8</td><td>1.8501e10</td><td>4.2200e9</td><td>3.9430e9</td><td>-5.3500e8</td><td>5.65e8</td><td>3e7</td><td>3.1378e9</td><td>3.0830e9</td><td>1.9789e10</td><td>3.8640e9</td><td>3.029e8</td><td>3.015e8</td><td>10.18</td><td>10.23</td><td>3.0830e9</td><td>3.0830e9</td><td>3.0830e9</td><td>3.0830e9</td><td>3.0830e9</td><td>2.95e8</td><td>3.3780e9</td><td>-1.1e7</td><td>4e7</td><td>-6e7</td><td>null</td><td>6e7</td><td>9e6</td><td>-5.3500e8</td><td>5.65e8</td><td>3e7</td><td>3.9240e9</td><td>1.2000e9</td><td>1.89e8</td><td>1.89e8</td><td>1.0110e9</td><td>1.0110e9</td><td>1.0110e9</td><td>5.1240e9</td><td>1.8589e10</td><td>2.3713e10</td><td>6.3880e9</td><td>0.216084</td></tr><tr><td>&quot;2022-12-31 00:00:00&quot;</td><td>-2.916e6</td><td>0.243</td><td>3.8110e9</td><td>-1.2e7</td><td>-1.2e7</td><td>2.3580e9</td><td>2.82e8</td><td>1.6126e10</td><td>3.7990e9</td><td>3.5170e9</td><td>-3.7700e8</td><td>4.03e8</td><td>2.6e7</td><td>2.3671e9</td><td>2.3580e9</td><td>1.7299e10</td><td>3.4620e9</td><td>3.258e8</td><td>3.244e8</td><td>7.24</td><td>7.27</td><td>2.3580e9</td><td>2.3580e9</td><td>2.3580e9</td><td>2.3580e9</td><td>2.3580e9</td><td>7.56e8</td><td>3.1140e9</td><td>1.7e7</td><td>1.1e7</td><td>-1.2e7</td><td>null</td><td>1.2e7</td><td>1.8e7</td><td>-3.7700e8</td><td>4.03e8</td><td>2.6e7</td><td>3.4740e9</td><td>1.0840e9</td><td>1.93e8</td><td>1.93e8</td><td>8.91e8</td><td>8.91e8</td><td>8.91e8</td><td>4.5580e9</td><td>1.6215e10</td><td>2.0773e10</td><td>5.4450e9</td><td>0.219419</td></tr><tr><td>&quot;2021-12-31 00:00:00&quot;</td><td>-1.1696e7</td><td>0.068</td><td>2.0670e9</td><td>-1.7200e8</td><td>-1.7200e8</td><td>1.0990e9</td><td>2.95e8</td><td>1.0981e10</td><td>1.8950e9</td><td>1.6000e9</td><td>-3.9200e8</td><td>4.2e8</td><td>2.8e7</td><td>1.2593e9</td><td>1.0990e9</td><td>1.2099e10</td><td>1.7500e9</td><td>3.293e8</td><td>3.272e8</td><td>3.34</td><td>3.36</td><td>1.0990e9</td><td>1.0990e9</td><td>1.0990e9</td><td>1.0990e9</td><td>1.0990e9</td><td>8.1e7</td><td>1.1800e9</td><td>-1.8600e8</td><td>1e7</td><td>-1.7200e8</td><td>1.64e8</td><td>8e6</td><td>-2.4e7</td><td>-3.9200e8</td><td>4.2e8</td><td>2.8e7</td><td>1.7580e9</td><td>1.0430e9</td><td>2.2e8</td><td>2.2e8</td><td>8.23e8</td><td>8.23e8</td><td>8.23e8</td><td>2.8010e9</td><td>1.1056e10</td><td>1.3857e10</td><td>3.4900e9</td><td>0.202136</td></tr><tr><td>&quot;2020-12-31 00:00:00&quot;</td><td>-7.209e7</td><td>0.27</td><td>7.24e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>4.78e8</td><td>8.9800e9</td><td>4.57e8</td><td>-2.1e7</td><td>-4.1800e8</td><td>4.45e8</td><td>2.7e7</td><td>-7.209e7</td><td>-2.6700e8</td><td>1.0220e10</td><td>8.4e7</td><td>3.258e8</td><td>3.258e8</td><td>-0.82</td><td>-0.82</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-1.9900e8</td><td>-4.6600e8</td><td>-3.9900e8</td><td>9e6</td><td>-2.6700e8</td><td>null</td><td>2.67e8</td><td>-1.4100e8</td><td>-4.1800e8</td><td>4.45e8</td><td>2.7e7</td><td>3.51e8</td><td>1.1080e9</td><td>3.46e8</td><td>3.46e8</td><td>7.62e8</td><td>7.62e8</td><td>7.62e8</td><td>1.4590e9</td><td>9.1120e9</td><td>1.0571e10</td><td>2.1190e9</td><td>0.138019</td></tr><tr><td>&quot;2019-12-31 00:00:00&quot;</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>-1.5400e8</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (5, 50)\n",
-       "┌─────────────┬─────────────┬─────────────┬─────────────┬───┬─────────────┬─────────────┬─────────────┬────────────┐\n",
-       "│ date        ┆ Tax Effect  ┆ Tax Rate    ┆ Normalized  ┆ … ┆ Cost Of     ┆ Total       ┆ Operating   ┆ gross_prof │\n",
-       "│ ---         ┆ Of Unusual  ┆ For Calcs   ┆ EBITDA      ┆   ┆ Revenue     ┆ Revenue     ┆ Revenue     ┆ it_margin  │\n",
-       "│ str         ┆ Items       ┆ ---         ┆ ---         ┆   ┆ ---         ┆ ---         ┆ ---         ┆ ---        │\n",
-       "│             ┆ ---         ┆ f64         ┆ f64         ┆   ┆ f64         ┆ f64         ┆ f64         ┆ f64        │\n",
-       "│             ┆ f64         ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
-       "╞═════════════╪═════════════╪═════════════╪═════════════╪═══╪═════════════╪═════════════╪═════════════╪════════════╡\n",
-       "│ 2023-12-31  ┆ -5.22e6     ┆ 0.087       ┆ 4.2800e9    ┆ … ┆ 1.8589e10   ┆ 2.3713e10   ┆ 6.3880e9    ┆ 0.216084   │\n",
-       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
-       "│ 2022-12-31  ┆ -2.916e6    ┆ 0.243       ┆ 3.8110e9    ┆ … ┆ 1.6215e10   ┆ 2.0773e10   ┆ 5.4450e9    ┆ 0.219419   │\n",
-       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
-       "│ 2021-12-31  ┆ -1.1696e7   ┆ 0.068       ┆ 2.0670e9    ┆ … ┆ 1.1056e10   ┆ 1.3857e10   ┆ 3.4900e9    ┆ 0.202136   │\n",
-       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
-       "│ 2020-12-31  ┆ -7.209e7    ┆ 0.27        ┆ 7.24e8      ┆ … ┆ 9.1120e9    ┆ 1.0571e10   ┆ 2.1190e9    ┆ 0.138019   │\n",
-       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
-       "│ 2019-12-31  ┆ null        ┆ null        ┆ null        ┆ … ┆ null        ┆ null        ┆ null        ┆ null       │\n",
-       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
-       "└─────────────┴─────────────┴─────────────┴─────────────┴───┴─────────────┴─────────────┴─────────────┴────────────┘"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import polars as pl\n",
-    "\n",
-    "fs.income_statement.with_columns(pl.col('*').forge_income_statement.gross_profit_margin(revenue_column='Total Revenue',cogs_column='Cost Of Revenue'))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (5, 50)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>date</th><th>Tax Effect Of Unusual Items</th><th>Tax Rate For Calcs</th><th>Normalized EBITDA</th><th>Total Unusual Items</th><th>Total Unusual Items Excluding Goodwill</th><th>Net Income From Continuing Operation Net Minority Interest</th><th>Reconciled Depreciation</th><th>Reconciled Cost Of Revenue</th><th>EBITDA</th><th>EBIT</th><th>Net Interest Income</th><th>Interest Expense</th><th>Interest Income</th><th>Normalized Income</th><th>Net Income From Continuing And Discontinued Operation</th><th>Total Expenses</th><th>Total Operating Income As Reported</th><th>Diluted Average Shares</th><th>Basic Average Shares</th><th>Diluted EPS</th><th>Basic EPS</th><th>Diluted NI Availto Com Stockholders</th><th>Net Income Common Stockholders</th><th>Net Income</th><th>Net Income Including Noncontrolling Interests</th><th>Net Income Continuous Operations</th><th>Tax Provision</th><th>Pretax Income</th><th>Other Income Expense</th><th>Other Non Operating Income Expenses</th><th>Special Income Charges</th><th>Other Special Charges</th><th>Restructuring And Mergern Acquisition</th><th>Earnings From Equity Interest</th><th>Net Non Operating Interest Income Expense</th><th>Interest Expense Non Operating</th><th>Interest Income Non Operating</th><th>Operating Income</th><th>Operating Expense</th><th>Depreciation Amortization Depletion Income Statement</th><th>Depreciation And Amortization In Income Statement</th><th>Selling General And Administration</th><th>General And Administrative Expense</th><th>Other Gand A</th><th>Gross Profit</th><th>Cost Of Revenue</th><th>Total Revenue</th><th>Operating Revenue</th><th>net_profit_margin</th></tr><tr><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>&quot;2023-12-31 00:00:00&quot;</td><td>-5.22e6</td><td>0.087</td><td>4.2800e9</td><td>-6e7</td><td>-6e7</td><td>3.0830e9</td><td>2.77e8</td><td>1.8501e10</td><td>4.2200e9</td><td>3.9430e9</td><td>-5.3500e8</td><td>5.65e8</td><td>3e7</td><td>3.1378e9</td><td>3.0830e9</td><td>1.9789e10</td><td>3.8640e9</td><td>3.029e8</td><td>3.015e8</td><td>10.18</td><td>10.23</td><td>3.0830e9</td><td>3.0830e9</td><td>3.0830e9</td><td>3.0830e9</td><td>3.0830e9</td><td>2.95e8</td><td>3.3780e9</td><td>-1.1e7</td><td>4e7</td><td>-6e7</td><td>null</td><td>6e7</td><td>9e6</td><td>-5.3500e8</td><td>5.65e8</td><td>3e7</td><td>3.9240e9</td><td>1.2000e9</td><td>1.89e8</td><td>1.89e8</td><td>1.0110e9</td><td>1.0110e9</td><td>1.0110e9</td><td>5.1240e9</td><td>1.8589e10</td><td>2.3713e10</td><td>6.3880e9</td><td>-0.618437</td></tr><tr><td>&quot;2022-12-31 00:00:00&quot;</td><td>-2.916e6</td><td>0.243</td><td>3.8110e9</td><td>-1.2e7</td><td>-1.2e7</td><td>2.3580e9</td><td>2.82e8</td><td>1.6126e10</td><td>3.7990e9</td><td>3.5170e9</td><td>-3.7700e8</td><td>4.03e8</td><td>2.6e7</td><td>2.3671e9</td><td>2.3580e9</td><td>1.7299e10</td><td>3.4620e9</td><td>3.258e8</td><td>3.244e8</td><td>7.24</td><td>7.27</td><td>2.3580e9</td><td>2.3580e9</td><td>2.3580e9</td><td>2.3580e9</td><td>2.3580e9</td><td>7.56e8</td><td>3.1140e9</td><td>1.7e7</td><td>1.1e7</td><td>-1.2e7</td><td>null</td><td>1.2e7</td><td>1.8e7</td><td>-3.7700e8</td><td>4.03e8</td><td>2.6e7</td><td>3.4740e9</td><td>1.0840e9</td><td>1.93e8</td><td>1.93e8</td><td>8.91e8</td><td>8.91e8</td><td>8.91e8</td><td>4.5580e9</td><td>1.6215e10</td><td>2.0773e10</td><td>5.4450e9</td><td>-0.613344</td></tr><tr><td>&quot;2021-12-31 00:00:00&quot;</td><td>-1.1696e7</td><td>0.068</td><td>2.0670e9</td><td>-1.7200e8</td><td>-1.7200e8</td><td>1.0990e9</td><td>2.95e8</td><td>1.0981e10</td><td>1.8950e9</td><td>1.6000e9</td><td>-3.9200e8</td><td>4.2e8</td><td>2.8e7</td><td>1.2593e9</td><td>1.0990e9</td><td>1.2099e10</td><td>1.7500e9</td><td>3.293e8</td><td>3.272e8</td><td>3.34</td><td>3.36</td><td>1.0990e9</td><td>1.0990e9</td><td>1.0990e9</td><td>1.0990e9</td><td>1.0990e9</td><td>8.1e7</td><td>1.1800e9</td><td>-1.8600e8</td><td>1e7</td><td>-1.7200e8</td><td>1.64e8</td><td>8e6</td><td>-2.4e7</td><td>-3.9200e8</td><td>4.2e8</td><td>2.8e7</td><td>1.7580e9</td><td>1.0430e9</td><td>2.2e8</td><td>2.2e8</td><td>8.23e8</td><td>8.23e8</td><td>8.23e8</td><td>2.8010e9</td><td>1.1056e10</td><td>1.3857e10</td><td>3.4900e9</td><td>-0.670997</td></tr><tr><td>&quot;2020-12-31 00:00:00&quot;</td><td>-7.209e7</td><td>0.27</td><td>7.24e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>4.78e8</td><td>8.9800e9</td><td>4.57e8</td><td>-2.1e7</td><td>-4.1800e8</td><td>4.45e8</td><td>2.7e7</td><td>-7.209e7</td><td>-2.6700e8</td><td>1.0220e10</td><td>8.4e7</td><td>3.258e8</td><td>3.258e8</td><td>-0.82</td><td>-0.82</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-2.6700e8</td><td>-1.9900e8</td><td>-4.6600e8</td><td>-3.9900e8</td><td>9e6</td><td>-2.6700e8</td><td>null</td><td>2.67e8</td><td>-1.4100e8</td><td>-4.1800e8</td><td>4.45e8</td><td>2.7e7</td><td>3.51e8</td><td>1.1080e9</td><td>3.46e8</td><td>3.46e8</td><td>7.62e8</td><td>7.62e8</td><td>7.62e8</td><td>1.4590e9</td><td>9.1120e9</td><td>1.0571e10</td><td>2.1190e9</td><td>-0.828777</td></tr><tr><td>&quot;2019-12-31 00:00:00&quot;</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>-1.5400e8</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (5, 50)\n",
-       "┌─────────────┬─────────────┬─────────────┬─────────────┬───┬─────────────┬─────────────┬─────────────┬────────────┐\n",
-       "│ date        ┆ Tax Effect  ┆ Tax Rate    ┆ Normalized  ┆ … ┆ Cost Of     ┆ Total       ┆ Operating   ┆ net_profit │\n",
-       "│ ---         ┆ Of Unusual  ┆ For Calcs   ┆ EBITDA      ┆   ┆ Revenue     ┆ Revenue     ┆ Revenue     ┆ _margin    │\n",
-       "│ str         ┆ Items       ┆ ---         ┆ ---         ┆   ┆ ---         ┆ ---         ┆ ---         ┆ ---        │\n",
-       "│             ┆ ---         ┆ f64         ┆ f64         ┆   ┆ f64         ┆ f64         ┆ f64         ┆ f64        │\n",
-       "│             ┆ f64         ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
-       "╞═════════════╪═════════════╪═════════════╪═════════════╪═══╪═════════════╪═════════════╪═════════════╪════════════╡\n",
-       "│ 2023-12-31  ┆ -5.22e6     ┆ 0.087       ┆ 4.2800e9    ┆ … ┆ 1.8589e10   ┆ 2.3713e10   ┆ 6.3880e9    ┆ -0.618437  │\n",
-       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
-       "│ 2022-12-31  ┆ -2.916e6    ┆ 0.243       ┆ 3.8110e9    ┆ … ┆ 1.6215e10   ┆ 2.0773e10   ┆ 5.4450e9    ┆ -0.613344  │\n",
-       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
-       "│ 2021-12-31  ┆ -1.1696e7   ┆ 0.068       ┆ 2.0670e9    ┆ … ┆ 1.1056e10   ┆ 1.3857e10   ┆ 3.4900e9    ┆ -0.670997  │\n",
-       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
-       "│ 2020-12-31  ┆ -7.209e7    ┆ 0.27        ┆ 7.24e8      ┆ … ┆ 9.1120e9    ┆ 1.0571e10   ┆ 2.1190e9    ┆ -0.828777  │\n",
-       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
-       "│ 2019-12-31  ┆ null        ┆ null        ┆ null        ┆ … ┆ null        ┆ null        ┆ null        ┆ null       │\n",
-       "│ 00:00:00    ┆             ┆             ┆             ┆   ┆             ┆             ┆             ┆            │\n",
-       "└─────────────┴─────────────┴─────────────┴─────────────┴───┴─────────────┴─────────────┴─────────────┴────────────┘"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "fs.income_statement.with_columns(pl.col('*').forge_income_statement.net_profit_margin(revenue_column='Total Revenue',cogs_column='Cost Of Revenue',expenses_column='Total Expenses'))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Mortgage\n",
-    "\n",
-    "The Mortgage module contains mortgage objects that you enable you to assess mortgage metrics. You need to define these objects prior to running calcuations. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2275.934140129842"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from metric_forge.mortgage import *\n",
-    "\n",
-    "mortgage = Mortgage(principal=390000,annual_interest_rate=5.75,start_date='2023-09-01',term_years=30,extra_principal_payment=200)\n",
-    "mortgage.calculate_monthly_payment()\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (360, 6)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>payment_number</th><th>payment_date</th><th>payment</th><th>interest_payment</th><th>principal_payment</th><th>principal_remaining</th></tr><tr><td>i64</td><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>1</td><td>&quot;2023-10-01&quot;</td><td>2275.93414</td><td>1868.75</td><td>407.18414</td><td>389592.81586</td></tr><tr><td>2</td><td>&quot;2023-10-31&quot;</td><td>2275.93414</td><td>1866.798909</td><td>409.135231</td><td>389183.680629</td></tr><tr><td>3</td><td>&quot;2023-11-30&quot;</td><td>2275.93414</td><td>1864.83847</td><td>411.09567</td><td>388772.584959</td></tr><tr><td>4</td><td>&quot;2023-12-30&quot;</td><td>2275.93414</td><td>1862.868636</td><td>413.065504</td><td>388359.519455</td></tr><tr><td>5</td><td>&quot;2024-01-29&quot;</td><td>2275.93414</td><td>1860.889364</td><td>415.044776</td><td>387944.474679</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>356</td><td>&quot;2052-11-27&quot;</td><td>2275.93414</td><td>53.752435</td><td>2222.181705</td><td>8995.717798</td></tr><tr><td>357</td><td>&quot;2052-12-27&quot;</td><td>2275.93414</td><td>43.104481</td><td>2232.829659</td><td>6762.888139</td></tr><tr><td>358</td><td>&quot;2053-01-26&quot;</td><td>2275.93414</td><td>32.405506</td><td>2243.528634</td><td>4519.359505</td></tr><tr><td>359</td><td>&quot;2053-02-25&quot;</td><td>2275.93414</td><td>21.655264</td><td>2254.278876</td><td>2265.080629</td></tr><tr><td>360</td><td>&quot;2053-03-27&quot;</td><td>2275.93414</td><td>10.853511</td><td>2265.080629</td><td>1.2655e-8</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (360, 6)\n",
-       "┌────────────────┬──────────────┬────────────┬──────────────────┬───────────────────┬─────────────────────┐\n",
-       "│ payment_number ┆ payment_date ┆ payment    ┆ interest_payment ┆ principal_payment ┆ principal_remaining │\n",
-       "│ ---            ┆ ---          ┆ ---        ┆ ---              ┆ ---               ┆ ---                 │\n",
-       "│ i64            ┆ str          ┆ f64        ┆ f64              ┆ f64               ┆ f64                 │\n",
-       "╞════════════════╪══════════════╪════════════╪══════════════════╪═══════════════════╪═════════════════════╡\n",
-       "│ 1              ┆ 2023-10-01   ┆ 2275.93414 ┆ 1868.75          ┆ 407.18414         ┆ 389592.81586        │\n",
-       "│ 2              ┆ 2023-10-31   ┆ 2275.93414 ┆ 1866.798909      ┆ 409.135231        ┆ 389183.680629       │\n",
-       "│ 3              ┆ 2023-11-30   ┆ 2275.93414 ┆ 1864.83847       ┆ 411.09567         ┆ 388772.584959       │\n",
-       "│ 4              ┆ 2023-12-30   ┆ 2275.93414 ┆ 1862.868636      ┆ 413.065504        ┆ 388359.519455       │\n",
-       "│ 5              ┆ 2024-01-29   ┆ 2275.93414 ┆ 1860.889364      ┆ 415.044776        ┆ 387944.474679       │\n",
-       "│ …              ┆ …            ┆ …          ┆ …                ┆ …                 ┆ …                   │\n",
-       "│ 356            ┆ 2052-11-27   ┆ 2275.93414 ┆ 53.752435        ┆ 2222.181705       ┆ 8995.717798         │\n",
-       "│ 357            ┆ 2052-12-27   ┆ 2275.93414 ┆ 43.104481        ┆ 2232.829659       ┆ 6762.888139         │\n",
-       "│ 358            ┆ 2053-01-26   ┆ 2275.93414 ┆ 32.405506        ┆ 2243.528634       ┆ 4519.359505         │\n",
-       "│ 359            ┆ 2053-02-25   ┆ 2275.93414 ┆ 21.655264        ┆ 2254.278876       ┆ 2265.080629         │\n",
-       "│ 360            ┆ 2053-03-27   ┆ 2275.93414 ┆ 10.853511        ┆ 2265.080629       ┆ 1.2655e-8           │\n",
-       "└────────────────┴──────────────┴────────────┴──────────────────┴───────────────────┴─────────────────────┘"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "mortgage.generate_amortization_schedule()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'new_term_years': 24.502707600761994, 'time_saved_years': 5.497292399238006}"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "mortgage.calculate_principal_only_payment()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'Old Monthly Payment': 2275.934140129842,\n",
-       " 'New Monthly Payment': 1877.492587282451,\n",
-       " 'Monthly Savings': 398.441552847391,\n",
-       " 'Break-Even Point (months)': 12.548891962367875,\n",
-       " 'Total Savings (over the loan term)': 138438.95902506076,\n",
-       " 'Should Refinance': True}"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "mortgage.refinance_assessment(RefinanceOption(new_loan_amount=340000,new_annual_interest_rate=5.25,new_term_years=30,associated_costs=5000))\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Web Traffic"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (4, 8)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>total_duration</th><th>total_sessions</th><th>single_page_sessions</th><th>num_clicks</th><th>num_impressions</th><th>total_cost</th><th>exits</th><th>total_page_views</th></tr><tr><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td></tr></thead><tbody><tr><td>1200</td><td>10</td><td>2</td><td>100</td><td>1000</td><td>50</td><td>5</td><td>50</td></tr><tr><td>1500</td><td>15</td><td>3</td><td>150</td><td>1500</td><td>75</td><td>7</td><td>70</td></tr><tr><td>60</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>2</td><td>20</td></tr><tr><td>2500</td><td>25</td><td>5</td><td>200</td><td>2000</td><td>100</td><td>10</td><td>100</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (4, 8)\n",
-       "┌────────────────┬───────────────┬───────────────┬────────────┬───────────────┬────────────┬───────┬───────────────┐\n",
-       "│ total_duration ┆ total_session ┆ single_page_s ┆ num_clicks ┆ num_impressio ┆ total_cost ┆ exits ┆ total_page_vi │\n",
-       "│ ---            ┆ s             ┆ essions       ┆ ---        ┆ ns            ┆ ---        ┆ ---   ┆ ews           │\n",
-       "│ i64            ┆ ---           ┆ ---           ┆ i64        ┆ ---           ┆ i64        ┆ i64   ┆ ---           │\n",
-       "│                ┆ i64           ┆ i64           ┆            ┆ i64           ┆            ┆       ┆ i64           │\n",
-       "╞════════════════╪═══════════════╪═══════════════╪════════════╪═══════════════╪════════════╪═══════╪═══════════════╡\n",
-       "│ 1200           ┆ 10            ┆ 2             ┆ 100        ┆ 1000          ┆ 50         ┆ 5     ┆ 50            │\n",
-       "│ 1500           ┆ 15            ┆ 3             ┆ 150        ┆ 1500          ┆ 75         ┆ 7     ┆ 70            │\n",
-       "│ 60             ┆ 2             ┆ 1             ┆ 0          ┆ 0             ┆ 0          ┆ 2     ┆ 20            │\n",
-       "│ 2500           ┆ 25            ┆ 5             ┆ 200        ┆ 2000          ┆ 100        ┆ 10    ┆ 100           │\n",
-       "└────────────────┴───────────────┴───────────────┴────────────┴───────────────┴────────────┴───────┴───────────────┘"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from metric_forge.web_traffic import *\n",
-    "import polars as pl\n",
-    "\n",
-    "data = pl.read_csv('datasets/web_traffic.csv')\n",
-    "data"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Average Session Duration"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (4, 9)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>total_duration</th><th>total_sessions</th><th>single_page_sessions</th><th>num_clicks</th><th>num_impressions</th><th>total_cost</th><th>exits</th><th>total_page_views</th><th>average_session_duration</th></tr><tr><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>1200</td><td>10</td><td>2</td><td>100</td><td>1000</td><td>50</td><td>5</td><td>50</td><td>120.0</td></tr><tr><td>1500</td><td>15</td><td>3</td><td>150</td><td>1500</td><td>75</td><td>7</td><td>70</td><td>100.0</td></tr><tr><td>60</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>2</td><td>20</td><td>30.0</td></tr><tr><td>2500</td><td>25</td><td>5</td><td>200</td><td>2000</td><td>100</td><td>10</td><td>100</td><td>100.0</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (4, 9)\n",
-       "┌───────────────┬───────────────┬──────────────┬────────────┬───┬────────────┬───────┬──────────────┬──────────────┐\n",
-       "│ total_duratio ┆ total_session ┆ single_page_ ┆ num_clicks ┆ … ┆ total_cost ┆ exits ┆ total_page_v ┆ average_sess │\n",
-       "│ n             ┆ s             ┆ sessions     ┆ ---        ┆   ┆ ---        ┆ ---   ┆ iews         ┆ ion_duration │\n",
-       "│ ---           ┆ ---           ┆ ---          ┆ i64        ┆   ┆ i64        ┆ i64   ┆ ---          ┆ ---          │\n",
-       "│ i64           ┆ i64           ┆ i64          ┆            ┆   ┆            ┆       ┆ i64          ┆ f64          │\n",
-       "╞═══════════════╪═══════════════╪══════════════╪════════════╪═══╪════════════╪═══════╪══════════════╪══════════════╡\n",
-       "│ 1200          ┆ 10            ┆ 2            ┆ 100        ┆ … ┆ 50         ┆ 5     ┆ 50           ┆ 120.0        │\n",
-       "│ 1500          ┆ 15            ┆ 3            ┆ 150        ┆ … ┆ 75         ┆ 7     ┆ 70           ┆ 100.0        │\n",
-       "│ 60            ┆ 2             ┆ 1            ┆ 0          ┆ … ┆ 0          ┆ 2     ┆ 20           ┆ 30.0         │\n",
-       "│ 2500          ┆ 25            ┆ 5            ┆ 200        ┆ … ┆ 100        ┆ 10    ┆ 100          ┆ 100.0        │\n",
-       "└───────────────┴───────────────┴──────────────┴────────────┴───┴────────────┴───────┴──────────────┴──────────────┘"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data.with_columns(pl.col('*').forge_web_traffic.average_session_duration(total_duration_col='total_duration', total_sessions_col='total_sessions'))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Bounce Rate"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (4, 9)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>total_duration</th><th>total_sessions</th><th>single_page_sessions</th><th>num_clicks</th><th>num_impressions</th><th>total_cost</th><th>exits</th><th>total_page_views</th><th>bounce_rate</th></tr><tr><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>1200</td><td>10</td><td>2</td><td>100</td><td>1000</td><td>50</td><td>5</td><td>50</td><td>20.0</td></tr><tr><td>1500</td><td>15</td><td>3</td><td>150</td><td>1500</td><td>75</td><td>7</td><td>70</td><td>20.0</td></tr><tr><td>60</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>2</td><td>20</td><td>50.0</td></tr><tr><td>2500</td><td>25</td><td>5</td><td>200</td><td>2000</td><td>100</td><td>10</td><td>100</td><td>20.0</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (4, 9)\n",
-       "┌───────────────┬───────────────┬───────────────┬────────────┬───┬────────────┬───────┬──────────────┬─────────────┐\n",
-       "│ total_duratio ┆ total_session ┆ single_page_s ┆ num_clicks ┆ … ┆ total_cost ┆ exits ┆ total_page_v ┆ bounce_rate │\n",
-       "│ n             ┆ s             ┆ essions       ┆ ---        ┆   ┆ ---        ┆ ---   ┆ iews         ┆ ---         │\n",
-       "│ ---           ┆ ---           ┆ ---           ┆ i64        ┆   ┆ i64        ┆ i64   ┆ ---          ┆ f64         │\n",
-       "│ i64           ┆ i64           ┆ i64           ┆            ┆   ┆            ┆       ┆ i64          ┆             │\n",
-       "╞═══════════════╪═══════════════╪═══════════════╪════════════╪═══╪════════════╪═══════╪══════════════╪═════════════╡\n",
-       "│ 1200          ┆ 10            ┆ 2             ┆ 100        ┆ … ┆ 50         ┆ 5     ┆ 50           ┆ 20.0        │\n",
-       "│ 1500          ┆ 15            ┆ 3             ┆ 150        ┆ … ┆ 75         ┆ 7     ┆ 70           ┆ 20.0        │\n",
-       "│ 60            ┆ 2             ┆ 1             ┆ 0          ┆ … ┆ 0          ┆ 2     ┆ 20           ┆ 50.0        │\n",
-       "│ 2500          ┆ 25            ┆ 5             ┆ 200        ┆ … ┆ 100        ┆ 10    ┆ 100          ┆ 20.0        │\n",
-       "└───────────────┴───────────────┴───────────────┴────────────┴───┴────────────┴───────┴──────────────┴─────────────┘"
-      ]
-     },
-     "execution_count": 22,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data.with_columns(pl.col('*').forge_web_traffic.bounce_rate(single_page_sessions_col='single_page_sessions', total_sessions_col='total_sessions'))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Click Through Rate"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (4, 9)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>total_duration</th><th>total_sessions</th><th>single_page_sessions</th><th>num_clicks</th><th>num_impressions</th><th>total_cost</th><th>exits</th><th>total_page_views</th><th>click_through_rate</th></tr><tr><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>1200</td><td>10</td><td>2</td><td>100</td><td>1000</td><td>50</td><td>5</td><td>50</td><td>10.0</td></tr><tr><td>1500</td><td>15</td><td>3</td><td>150</td><td>1500</td><td>75</td><td>7</td><td>70</td><td>10.0</td></tr><tr><td>60</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>2</td><td>20</td><td>NaN</td></tr><tr><td>2500</td><td>25</td><td>5</td><td>200</td><td>2000</td><td>100</td><td>10</td><td>100</td><td>10.0</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (4, 9)\n",
-       "┌───────────────┬───────────────┬──────────────┬────────────┬───┬────────────┬───────┬──────────────┬──────────────┐\n",
-       "│ total_duratio ┆ total_session ┆ single_page_ ┆ num_clicks ┆ … ┆ total_cost ┆ exits ┆ total_page_v ┆ click_throug │\n",
-       "│ n             ┆ s             ┆ sessions     ┆ ---        ┆   ┆ ---        ┆ ---   ┆ iews         ┆ h_rate       │\n",
-       "│ ---           ┆ ---           ┆ ---          ┆ i64        ┆   ┆ i64        ┆ i64   ┆ ---          ┆ ---          │\n",
-       "│ i64           ┆ i64           ┆ i64          ┆            ┆   ┆            ┆       ┆ i64          ┆ f64          │\n",
-       "╞═══════════════╪═══════════════╪══════════════╪════════════╪═══╪════════════╪═══════╪══════════════╪══════════════╡\n",
-       "│ 1200          ┆ 10            ┆ 2            ┆ 100        ┆ … ┆ 50         ┆ 5     ┆ 50           ┆ 10.0         │\n",
-       "│ 1500          ┆ 15            ┆ 3            ┆ 150        ┆ … ┆ 75         ┆ 7     ┆ 70           ┆ 10.0         │\n",
-       "│ 60            ┆ 2             ┆ 1            ┆ 0          ┆ … ┆ 0          ┆ 2     ┆ 20           ┆ NaN          │\n",
-       "│ 2500          ┆ 25            ┆ 5            ┆ 200        ┆ … ┆ 100        ┆ 10    ┆ 100          ┆ 10.0         │\n",
-       "└───────────────┴───────────────┴──────────────┴────────────┴───┴────────────┴───────┴──────────────┴──────────────┘"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data.with_columns(pl.col('*').forge_web_traffic.click_through_rate(num_clicks_col='num_clicks', num_impressions_col='num_impressions'))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Cost Per Click"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (4, 9)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>total_duration</th><th>total_sessions</th><th>single_page_sessions</th><th>num_clicks</th><th>num_impressions</th><th>total_cost</th><th>exits</th><th>total_page_views</th><th>cost_per_click</th></tr><tr><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>1200</td><td>10</td><td>2</td><td>100</td><td>1000</td><td>50</td><td>5</td><td>50</td><td>0.5</td></tr><tr><td>1500</td><td>15</td><td>3</td><td>150</td><td>1500</td><td>75</td><td>7</td><td>70</td><td>0.5</td></tr><tr><td>60</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>2</td><td>20</td><td>0.0</td></tr><tr><td>2500</td><td>25</td><td>5</td><td>200</td><td>2000</td><td>100</td><td>10</td><td>100</td><td>0.5</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (4, 9)\n",
-       "┌───────────────┬───────────────┬──────────────┬────────────┬───┬────────────┬───────┬──────────────┬──────────────┐\n",
-       "│ total_duratio ┆ total_session ┆ single_page_ ┆ num_clicks ┆ … ┆ total_cost ┆ exits ┆ total_page_v ┆ cost_per_cli │\n",
-       "│ n             ┆ s             ┆ sessions     ┆ ---        ┆   ┆ ---        ┆ ---   ┆ iews         ┆ ck           │\n",
-       "│ ---           ┆ ---           ┆ ---          ┆ i64        ┆   ┆ i64        ┆ i64   ┆ ---          ┆ ---          │\n",
-       "│ i64           ┆ i64           ┆ i64          ┆            ┆   ┆            ┆       ┆ i64          ┆ f64          │\n",
-       "╞═══════════════╪═══════════════╪══════════════╪════════════╪═══╪════════════╪═══════╪══════════════╪══════════════╡\n",
-       "│ 1200          ┆ 10            ┆ 2            ┆ 100        ┆ … ┆ 50         ┆ 5     ┆ 50           ┆ 0.5          │\n",
-       "│ 1500          ┆ 15            ┆ 3            ┆ 150        ┆ … ┆ 75         ┆ 7     ┆ 70           ┆ 0.5          │\n",
-       "│ 60            ┆ 2             ┆ 1            ┆ 0          ┆ … ┆ 0          ┆ 2     ┆ 20           ┆ 0.0          │\n",
-       "│ 2500          ┆ 25            ┆ 5            ┆ 200        ┆ … ┆ 100        ┆ 10    ┆ 100          ┆ 0.5          │\n",
-       "└───────────────┴───────────────┴──────────────┴────────────┴───┴────────────┴───────┴──────────────┴──────────────┘"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data.with_columns(pl.col('*').forge_web_traffic.cost_per_click(total_cost_col='total_cost',num_clicks_col='num_clicks'))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Exit Rate"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (4, 9)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>total_duration</th><th>total_sessions</th><th>single_page_sessions</th><th>num_clicks</th><th>num_impressions</th><th>total_cost</th><th>exits</th><th>total_page_views</th><th>exit_rate</th></tr><tr><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>1200</td><td>10</td><td>2</td><td>100</td><td>1000</td><td>50</td><td>5</td><td>50</td><td>10.0</td></tr><tr><td>1500</td><td>15</td><td>3</td><td>150</td><td>1500</td><td>75</td><td>7</td><td>70</td><td>10.0</td></tr><tr><td>60</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>2</td><td>20</td><td>10.0</td></tr><tr><td>2500</td><td>25</td><td>5</td><td>200</td><td>2000</td><td>100</td><td>10</td><td>100</td><td>10.0</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (4, 9)\n",
-       "┌────────────────┬───────────────┬───────────────┬────────────┬───┬────────────┬───────┬───────────────┬───────────┐\n",
-       "│ total_duration ┆ total_session ┆ single_page_s ┆ num_clicks ┆ … ┆ total_cost ┆ exits ┆ total_page_vi ┆ exit_rate │\n",
-       "│ ---            ┆ s             ┆ essions       ┆ ---        ┆   ┆ ---        ┆ ---   ┆ ews           ┆ ---       │\n",
-       "│ i64            ┆ ---           ┆ ---           ┆ i64        ┆   ┆ i64        ┆ i64   ┆ ---           ┆ f64       │\n",
-       "│                ┆ i64           ┆ i64           ┆            ┆   ┆            ┆       ┆ i64           ┆           │\n",
-       "╞════════════════╪═══════════════╪═══════════════╪════════════╪═══╪════════════╪═══════╪═══════════════╪═══════════╡\n",
-       "│ 1200           ┆ 10            ┆ 2             ┆ 100        ┆ … ┆ 50         ┆ 5     ┆ 50            ┆ 10.0      │\n",
-       "│ 1500           ┆ 15            ┆ 3             ┆ 150        ┆ … ┆ 75         ┆ 7     ┆ 70            ┆ 10.0      │\n",
-       "│ 60             ┆ 2             ┆ 1             ┆ 0          ┆ … ┆ 0          ┆ 2     ┆ 20            ┆ 10.0      │\n",
-       "│ 2500           ┆ 25            ┆ 5             ┆ 200        ┆ … ┆ 100        ┆ 10    ┆ 100           ┆ 10.0      │\n",
-       "└────────────────┴───────────────┴───────────────┴────────────┴───┴────────────┴───────┴───────────────┴───────────┘"
-      ]
-     },
-     "execution_count": 25,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data.with_columns(pl.col('*').forge_web_traffic.exit_rate(exits_col='exits',total_page_views_col='total_page_views'))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Pages Per Session"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (4, 9)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>total_duration</th><th>total_sessions</th><th>single_page_sessions</th><th>num_clicks</th><th>num_impressions</th><th>total_cost</th><th>exits</th><th>total_page_views</th><th>pages_per_session</th></tr><tr><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>1200</td><td>10</td><td>2</td><td>100</td><td>1000</td><td>50</td><td>5</td><td>50</td><td>5.0</td></tr><tr><td>1500</td><td>15</td><td>3</td><td>150</td><td>1500</td><td>75</td><td>7</td><td>70</td><td>4.666667</td></tr><tr><td>60</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>2</td><td>20</td><td>10.0</td></tr><tr><td>2500</td><td>25</td><td>5</td><td>200</td><td>2000</td><td>100</td><td>10</td><td>100</td><td>4.0</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (4, 9)\n",
-       "┌───────────────┬───────────────┬──────────────┬────────────┬───┬────────────┬───────┬──────────────┬──────────────┐\n",
-       "│ total_duratio ┆ total_session ┆ single_page_ ┆ num_clicks ┆ … ┆ total_cost ┆ exits ┆ total_page_v ┆ pages_per_se │\n",
-       "│ n             ┆ s             ┆ sessions     ┆ ---        ┆   ┆ ---        ┆ ---   ┆ iews         ┆ ssion        │\n",
-       "│ ---           ┆ ---           ┆ ---          ┆ i64        ┆   ┆ i64        ┆ i64   ┆ ---          ┆ ---          │\n",
-       "│ i64           ┆ i64           ┆ i64          ┆            ┆   ┆            ┆       ┆ i64          ┆ f64          │\n",
-       "╞═══════════════╪═══════════════╪══════════════╪════════════╪═══╪════════════╪═══════╪══════════════╪══════════════╡\n",
-       "│ 1200          ┆ 10            ┆ 2            ┆ 100        ┆ … ┆ 50         ┆ 5     ┆ 50           ┆ 5.0          │\n",
-       "│ 1500          ┆ 15            ┆ 3            ┆ 150        ┆ … ┆ 75         ┆ 7     ┆ 70           ┆ 4.666667     │\n",
-       "│ 60            ┆ 2             ┆ 1            ┆ 0          ┆ … ┆ 0          ┆ 2     ┆ 20           ┆ 10.0         │\n",
-       "│ 2500          ┆ 25            ┆ 5            ┆ 200        ┆ … ┆ 100        ┆ 10    ┆ 100          ┆ 4.0          │\n",
-       "└───────────────┴───────────────┴──────────────┴────────────┴───┴────────────┴───────┴──────────────┴──────────────┘"
-      ]
-     },
-     "execution_count": 26,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data.with_columns(pl.col('*').forge_web_traffic.pages_per_session(total_page_views_col='total_page_views',total_sessions_col='total_sessions'))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div><style>\n",
-       ".dataframe > thead > tr,\n",
-       ".dataframe > tbody > tr {\n",
-       "  text-align: right;\n",
-       "  white-space: pre-wrap;\n",
-       "}\n",
-       "</style>\n",
-       "<small>shape: (3, 11)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>total_production_time</th><th>units_produced</th><th>time_period</th><th>availability</th><th>performance</th><th>quality</th><th>actual_output</th><th>potential_output</th><th>defective_units</th><th>total_units_produced</th><th>cycle_time</th></tr><tr><td>i64</td><td>i64</td><td>i64</td><td>f64</td><td>f64</td><td>f64</td><td>i64</td><td>i64</td><td>i64</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>1200</td><td>100</td><td>10</td><td>0.95</td><td>0.9</td><td>0.98</td><td>950</td><td>1000</td><td>2</td><td>100</td><td>12.0</td></tr><tr><td>1300</td><td>110</td><td>10</td><td>0.9</td><td>0.85</td><td>0.97</td><td>980</td><td>1000</td><td>3</td><td>110</td><td>11.818182</td></tr><tr><td>1100</td><td>95</td><td>10</td><td>0.88</td><td>0.87</td><td>0.96</td><td>900</td><td>1000</td><td>4</td><td>95</td><td>11.578947</td></tr></tbody></table></div>"
-      ],
-      "text/plain": [
-       "shape: (3, 11)\n",
-       "┌─────────────┬─────────────┬─────────────┬─────────────┬───┬─────────────┬─────────────┬─────────────┬────────────┐\n",
-       "│ total_produ ┆ units_produ ┆ time_period ┆ availabilit ┆ … ┆ potential_o ┆ defective_u ┆ total_units ┆ cycle_time │\n",
-       "│ ction_time  ┆ ced         ┆ ---         ┆ y           ┆   ┆ utput       ┆ nits        ┆ _produced   ┆ ---        │\n",
-       "│ ---         ┆ ---         ┆ i64         ┆ ---         ┆   ┆ ---         ┆ ---         ┆ ---         ┆ f64        │\n",
-       "│ i64         ┆ i64         ┆             ┆ f64         ┆   ┆ i64         ┆ i64         ┆ i64         ┆            │\n",
-       "╞═════════════╪═════════════╪═════════════╪═════════════╪═══╪═════════════╪═════════════╪═════════════╪════════════╡\n",
-       "│ 1200        ┆ 100         ┆ 10          ┆ 0.95        ┆ … ┆ 1000        ┆ 2           ┆ 100         ┆ 12.0       │\n",
-       "│ 1300        ┆ 110         ┆ 10          ┆ 0.9         ┆ … ┆ 1000        ┆ 3           ┆ 110         ┆ 11.818182  │\n",
-       "│ 1100        ┆ 95          ┆ 10          ┆ 0.88        ┆ … ┆ 1000        ┆ 4           ┆ 95          ┆ 11.578947  │\n",
-       "└─────────────┴─────────────┴─────────────┴─────────────┴───┴─────────────┴─────────────┴─────────────┴────────────┘"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import polars as pl\n",
-    "\n",
-    "from metric_forge import *\n",
-    "\n",
-    "df = pl.DataFrame({\n",
-    "    \"total_production_time\": [1200, 1300, 1100],\n",
-    "    \"units_produced\": [100, 110, 95],\n",
-    "    \"time_period\": [10, 10, 10],\n",
-    "    \"availability\": [0.95, 0.90, 0.88],\n",
-    "    \"performance\": [0.90, 0.85, 0.87],\n",
-    "    \"quality\": [0.98, 0.97, 0.96],\n",
-    "    \"actual_output\": [950, 980, 900],\n",
-    "    \"potential_output\": [1000, 1000, 1000],\n",
-    "    \"defective_units\": [2, 3, 4],\n",
-    "    \"total_units_produced\": [100, 110, 95],\n",
-    "    # \"order_date\": [pl.datetime(2023, 9, 1), pl.datetime(2023, 9, 2), pl.datetime(2023, 9, 3)],\n",
-    "    # \"delivery_date\": [pl.datetime(2023, 9, 5), pl.datetime(2023, 9, 6), pl.datetime(2023, 9, 7)]\n",
-    "})\n",
-    "\n",
-    "df = df.with_columns(\n",
-    "    pl.col('*').forge_operations.cycle_time(\"total_production_time\", \"units_produced\"),\n",
-    "    # pl.col('*').forge_operations.throughput(\"units_produced\", \"time_period\"),\n",
-    "    # pl.col('*').forge_operations.oee(\"availability\", \"performance\", \"quality\"),\n",
-    "    # pl.col('*').forge_operations.capacity_utilization(\"actual_output\", \"potential_output\"),\n",
-    "    # pl.col('*').forge_operations.defect_rate(\"defective_units\", \"total_units_produced\"),\n",
-    "    # pl.col('*').forge_operations.lead_time(\"order_date\", \"delivery_date\")\n",
-    ")\n",
-    "\n",
-    "df\n"
-   ]
   }
  ],
  "metadata": {

month	total_revenue	number_of_orders	cost_of_acquisition	new_customers	carts_created	completed_purchases	revenue_from_ads	advertising_spend	num_conversions	num_visitors	revenue_per_customer	average_customer_lifetime	num_customers_lost	total_customers_beginning
str	f64	i64	f64	i64	i64	i64	f64	f64	i64	i64	f64	f64	i64	i64
"2023-01"	87454.011885	991	22958.350559	406	1969	1425	81339.957696	5390.910169	300	13154	202.427329	3.159364	239	3306
"2023-02"	145071.430641	913	18736.874206	234	1506	1421	76875.083402	15585.037018	427	14762	116.173436	1.812245	124	4680
"2023-03"	123199.394181	1305	28355.586842	120	1497	965	116505.482191	14872.037954	367	10056	384.265156	4.771414	177	4675
"2023-04"	109865.84842	885	14184.81582	428	1963	1102	106008.046381	12337.204368	132	19948	144.356328	3.395462	299	2972
"2023-05"	65601.864044	691	18764.339456	266	1009	801	97258.809912	5351.995568	147	13110	275.734601	3.77914	296	3768
cost_of_acquisition	new_customers	customer_acquisition_cost
f64	i64	f64
22958.350559	406	56.547661
18736.874206	234	80.072112
28355.586842	120	236.296557
14184.81582	428	33.142093
18764.339456	266	70.54263
…	…	…
33555.278842	188	178.485526
15990.213465	415	38.530635
25427.033152	113	225.017992
27772.437066	341	81.444097
11393.512382	364	31.300858
total_revenue	new_customers	average_order_value
f64	i64	f64
87454.011885	406	88.248246
145071.430641	234	158.895324
123199.394181	120	94.405666
109865.84842	428	124.142202
65601.864044	266	94.937575
…	…	…
136617.614577	188	206.996386
110111.501174	415	114.819084
120807.25778	113	148.594413
52058.44943	341	99.920248
146990.985216	364	195.466736
carts_created	completed_purchases	cart_abandonment_rate
i64	i64	f64
1969	1425	27.628238
1506	1421	5.64409
1497	965	35.537742
1963	1102	43.861437
1009	801	20.61447
…	…	…
1108	601	45.758123
1975	1395	29.367089
800	669	16.375
2005	1215	39.401496
1704	855	49.823944
revenue_from_ads	advertising_spend	return_on_advertising_spend
f64	f64	f64
81339.957696	5390.910169	15.088353
76875.083402	15585.037018	4.932621
116505.482191	14872.037954	7.833861
106008.046381	12337.204368	8.59255
97258.809912	5351.995568	18.172438
…	…	…
116872.977654	24754.388513	4.721303
84633.082292	20148.99937	4.200362
54839.926382	28157.521963	1.947612
56664.615513	21276.925638	2.663196
44874.024516	27873.991889	1.609889
num_conversions	num_visitors	conversion_rate
i64	i64	f64
300	13154	2.280675
427	14762	2.892562
367	10056	3.649562
132	19948	0.66172
147	13110	1.121281
…	…	…
392	8840	4.434389
198	6028	3.284672
271	12385	2.188131
459	5502	8.342421
313	11910	2.628044
revenue_per_customer	average_customer_lifetime	customer_lifetime_value
f64	f64	f64
202.427329	3.159364	639.54169
116.173436	1.812245	210.534716
384.265156	4.771414	1833.488253
144.356328	3.395462	490.156408
275.734601	3.77914	1042.039585
…	…	…
290.148089	2.182535	633.258286
325.310229	1.421977	462.583676
378.206435	2.826138	1068.863683
155.732582	1.873762	291.805755
341.766952	2.66604	911.164293
date	Tax Effect Of Unusual Items	Tax Rate For Calcs	Normalized EBITDA	Total Unusual Items	Total Unusual Items Excluding Goodwill	Net Income From Continuing Operation Net Minority Interest	Reconciled Depreciation	Reconciled Cost Of Revenue	EBITDA	EBIT	Net Interest Income	Interest Expense	Interest Income	Normalized Income	Net Income From Continuing And Discontinued Operation	Total Expenses	Total Operating Income As Reported	Diluted Average Shares	Basic Average Shares	Diluted EPS	Basic EPS	Diluted NI Availto Com Stockholders	Net Income Common Stockholders	Net Income	Net Income Including Noncontrolling Interests	Net Income Continuous Operations	Tax Provision	Pretax Income	Other Income Expense	Other Non Operating Income Expenses	Special Income Charges	Other Special Charges	Restructuring And Mergern Acquisition	Earnings From Equity Interest	Net Non Operating Interest Income Expense	Interest Expense Non Operating	Interest Income Non Operating	Operating Income	Operating Expense	Depreciation Amortization Depletion Income Statement	Depreciation And Amortization In Income Statement	Selling General And Administration	General And Administrative Expense	Other Gand A	Gross Profit	Cost Of Revenue	Total Revenue	Operating Revenue
str	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64
"2023-12-31 00:00:00"	-5.22e6	0.087	4.2800e9	-6e7	-6e7	3.0830e9	2.77e8	1.8501e10	4.2200e9	3.9430e9	-5.3500e8	5.65e8	3e7	3.1378e9	3.0830e9	1.9789e10	3.8640e9	3.029e8	3.015e8	10.18	10.23	3.0830e9	3.0830e9	3.0830e9	3.0830e9	3.0830e9	2.95e8	3.3780e9	-1.1e7	4e7	-6e7	null	6e7	9e6	-5.3500e8	5.65e8	3e7	3.9240e9	1.2000e9	1.89e8	1.89e8	1.0110e9	1.0110e9	1.0110e9	5.1240e9	1.8589e10	2.3713e10	6.3880e9
"2022-12-31 00:00:00"	-2.916e6	0.243	3.8110e9	-1.2e7	-1.2e7	2.3580e9	2.82e8	1.6126e10	3.7990e9	3.5170e9	-3.7700e8	4.03e8	2.6e7	2.3671e9	2.3580e9	1.7299e10	3.4620e9	3.258e8	3.244e8	7.24	7.27	2.3580e9	2.3580e9	2.3580e9	2.3580e9	2.3580e9	7.56e8	3.1140e9	1.7e7	1.1e7	-1.2e7	null	1.2e7	1.8e7	-3.7700e8	4.03e8	2.6e7	3.4740e9	1.0840e9	1.93e8	1.93e8	8.91e8	8.91e8	8.91e8	4.5580e9	1.6215e10	2.0773e10	5.4450e9
"2021-12-31 00:00:00"	-1.1696e7	0.068	2.0670e9	-1.7200e8	-1.7200e8	1.0990e9	2.95e8	1.0981e10	1.8950e9	1.6000e9	-3.9200e8	4.2e8	2.8e7	1.2593e9	1.0990e9	1.2099e10	1.7500e9	3.293e8	3.272e8	3.34	3.36	1.0990e9	1.0990e9	1.0990e9	1.0990e9	1.0990e9	8.1e7	1.1800e9	-1.8600e8	1e7	-1.7200e8	1.64e8	8e6	-2.4e7	-3.9200e8	4.2e8	2.8e7	1.7580e9	1.0430e9	2.2e8	2.2e8	8.23e8	8.23e8	8.23e8	2.8010e9	1.1056e10	1.3857e10	3.4900e9
"2020-12-31 00:00:00"	-7.209e7	0.27	7.24e8	-2.6700e8	-2.6700e8	-2.6700e8	4.78e8	8.9800e9	4.57e8	-2.1e7	-4.1800e8	4.45e8	2.7e7	-7.209e7	-2.6700e8	1.0220e10	8.4e7	3.258e8	3.258e8	-0.82	-0.82	-2.6700e8	-2.6700e8	-2.6700e8	-2.6700e8	-2.6700e8	-1.9900e8	-4.6600e8	-3.9900e8	9e6	-2.6700e8	null	2.67e8	-1.4100e8	-4.1800e8	4.45e8	2.7e7	3.51e8	1.1080e9	3.46e8	3.46e8	7.62e8	7.62e8	7.62e8	1.4590e9	9.1120e9	1.0571e10	2.1190e9
"2019-12-31 00:00:00"	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	-1.5400e8	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
date	Ordinary Shares Number	Share Issued	Net Debt	Total Debt	Tangible Book Value	Invested Capital	Working Capital	Net Tangible Assets	Capital Lease Obligations	Common Stock Equity	Total Capitalization	Total Equity Gross Minority Interest	Stockholders Equity	Gains Losses Not Affecting Retained Earnings	Other Equity Adjustments	Treasury Stock	Retained Earnings	Additional Paid In Capital	Capital Stock	Common Stock	Total Liabilities Net Minority Interest	Total Non Current Liabilities Net Minority Interest	Other Non Current Liabilities	Non Current Deferred Liabilities	Non Current Deferred Revenue	Non Current Deferred Taxes Liabilities	Long Term Debt And Capital Lease Obligation	Long Term Capital Lease Obligation	Long Term Debt	Current Liabilities	Other Current Liabilities	Current Debt And Capital Lease Obligation	Current Debt	Payables And Accrued Expenses	Current Accrued Expenses	Payables	Accounts Payable	Total Assets	Total Non Current Assets	Other Non Current Assets	Non Current Deferred Assets	Non Current Deferred Taxes Assets	Non Current Note Receivables	Investments And Advances	Long Term Equity Investment	Goodwill And Other Intangible Assets	Other Intangible Assets	Goodwill	Net PPE	Accumulated Depreciation	Gross PPE	Construction In Progress	Other Properties	Machinery Furniture Equipment	Buildings And Improvements	Land And Improvements	Properties	Current Assets	Other Current Assets	Assets Held For Sale Current	Prepaid Assets	Receivables	Accounts Receivable	Allowance For Doubtful Accounts Receivable	Gross Accounts Receivable	Cash Cash Equivalents And Short Term Investments	Cash And Cash Equivalents	Cash Financial
str	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64
"2023-12-31 00:00:00"	2.90539975e8	2.90539975e8	1.1535e10	1.2760e10	-1.8758e10	1.1191e10	-4.4510e9	-1.8758e10	8.87e8	-6.8200e8	1.0638e10	-6.8200e8	-6.8200e8	-6.4700e8	-6.4700e8	2.0929e10	1.4838e10	6.0510e9	5e6	5e6	2.6356e10	1.8594e10	5.1600e9	1.2270e9	1.0180e9	2.09e8	1.2207e10	8.87e8	1.1320e10	7.7620e9	3.3280e9	5.53e8	5.53e8	3.8810e9	3.1430e9	7.38e8	7.38e8	2.5674e10	2.2363e10	6.58e8	6.73e8	6.73e8	1.38e8	3.08e8	3.08e8	1.8076e10	9.1900e9	8.8860e9	2.5100e9	-8.9000e8	3.4000e9	7.2e7	9.29e8	6.22e8	1.1080e9	6.69e8	0.0	3.3110e9	2.61e8	null	null	2.7120e9	2.7120e9	-1.9700e8	2.9090e9	3.38e8	3.38e8	null
"2022-12-31 00:00:00"	3.106e8	3.106e8	9.5570e9	1.1098e10	-1.7051e10	1.0632e10	-4.0260e9	-1.7051e10	1.0340e9	5.68e8	9.9480e9	5.68e8	5.68e8	-7.2900e8	-7.2900e8	1.7015e10	1.2342e10	5.9650e9	5e6	5e6	2.4247e10	1.6908e10	5.1220e9	1.3720e9	1.0590e9	3.13e8	1.0414e10	1.0340e9	9.3800e9	7.3390e9	3.3140e9	6.84e8	6.84e8	3.3410e9	2.5950e9	7.46e8	7.46e8	2.4815e10	2.1502e10	5.84e8	2.4e8	2.4e8	1.52e8	3.35e8	3.35e8	1.7619e10	8.7470e9	8.8720e9	2.5720e9	-8.7400e8	3.4460e9	3.6e7	9.87e8	6.49e8	1.0860e9	6.88e8	0.0	3.3130e9	2.35e8	null	null	2.5710e9	2.5710e9	-1.9100e8	2.7620e9	5.07e8	5.07e8	null
"2021-12-31 00:00:00"	3.273e8	3.273e8	8.7450e9	1.1236e10	-1.6585e10	1.1552e10	-2.7810e9	-1.6585e10	1.0980e9	1.4140e9	1.0747e10	1.4140e9	1.4140e9	-3.4200e8	-3.4200e8	1.4446e10	1.0305e10	5.8920e9	5e6	5e6	2.4139e10	1.7732e10	5.9510e9	1.3500e9	1.1810e9	1.69e8	1.0431e10	1.0980e9	9.3330e9	6.4070e9	2.5220e9	8.05e8	8.05e8	3.0800e9	2.3540e9	7.26e8	7.26e8	2.5553e10	2.1927e10	6.04e8	2.28e8	2.28e8	1.44e8	3.87e8	3.87e8	1.7999e10	8.9260e9	9.0730e9	2.5650e9	-8.5000e8	3.4150e9	1.37e8	1.0620e9	5.45e8	9.85e8	6.86e8	0.0	3.6260e9	2.51e8	null	2.51e8	1.9820e9	1.9820e9	-1.8700e8	2.1690e9	1.3930e9	1.3930e9	null
"2020-12-31 00:00:00"	3.244e8	3.244e8	9.4990e9	1.1199e10	-1.7734e10	1.0806e10	-2.9270e9	-1.7734e10	8.23e8	4.3e8	9.6330e9	4.3e8	4.3e8	-1.3500e8	-1.3500e8	1.4497e10	9.2060e9	5.8510e9	5e6	5e6	2.4271e10	1.8519e10	6.8680e9	1.6250e9	1.5420e9	8.3e7	1.0026e10	8.23e8	9.2030e9	5.7520e9	1.7690e9	1.1730e9	1.1730e9	2.8100e9	2.2830e9	5.27e8	5.27e8	2.4701e10	2.1876e10	6.16e8	2.49e8	2.49e8	1.59e8	4.22e8	null	1.8164e10	8.9890e9	9.1750e9	2.2660e9	-8.8800e8	3.1540e9	2.9e7	7.52e8	6.4e8	1.0450e9	6.88e8	0.0	2.8250e9	1.8e8	8e6	1.8e8	1.7680e9	1.7680e9	null	null	8.77e8	8.77e8	null
"2019-12-31 00:00:00"	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2.55e8	2.52e8	null	null	null	null	null	null	2.25e8
date	Free Cash Flow	Repurchase Of Capital Stock	Repayment Of Debt	Issuance Of Debt	Issuance Of Capital Stock	Capital Expenditure	End Cash Position	Beginning Cash Position	Changes In Cash	Financing Cash Flow	Cash Flow From Continuing Financing Activities	Net Other Financing Charges	Cash Dividends Paid	Common Stock Dividend Paid	Net Common Stock Issuance	Common Stock Payments	Common Stock Issuance	Net Issuance Payments Of Debt	Net Short Term Debt Issuance	Net Long Term Debt Issuance	Long Term Debt Payments	Long Term Debt Issuance	Investing Cash Flow	Cash Flow From Continuing Investing Activities	Net Other Investing Changes	Net Business Purchase And Sale	Sale Of Business	Purchase Of Business	Net PPE Purchase And Sale	Sale Of PPE	Capital Expenditure Reported	Operating Cash Flow	Cash Flow From Continuing Operating Activities	Change In Working Capital	Other Non Cash Items	Stock Based Compensation	Deferred Tax	Deferred Income Tax	Depreciation Amortization Depletion	Depreciation And Amortization	Depreciation	Operating Gains Losses	Net Income From Continuing Operations
str	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64
"2023-12-31 00:00:00"	2.7180e9	-3.9530e9	-6.8400e8	1.9180e9	2.9e7	-4.5200e8	3.66e8	5.25e8	-1.5900e8	-2.8640e9	-2.8640e9	-1.3300e8	-5.8700e8	-5.8700e8	-3.9240e9	-3.9530e9	2.9e7	1.7800e9	5.46e8	1.2340e9	-6.8400e8	1.9180e9	-4.6500e8	-4.6500e8	1.7e7	-1.0100e8	null	-1.0100e8	7.1e7	7.1e7	-4.5200e8	3.1700e9	3.1700e9	6.9e7	1.48e8	2.05e8	-6.1200e8	-6.1200e8	2.77e8	2.77e8	2.77e8	null	3.0830e9
"2022-12-31 00:00:00"	2.0310e9	-2.5660e9	-8.0400e8	9.83e8	0.0	-3.3200e8	5.25e8	1.4210e9	-8.9600e8	-2.9620e9	-2.9620e9	-7.2e7	-3.2100e8	-3.2100e8	-2.5660e9	-2.5660e9	0.0	-3e6	-1.8200e8	1.79e8	-8.0400e8	9.83e8	-2.9700e8	-2.9700e8	3.4e7	0.0	null	0.0	1e6	1e6	-3.3200e8	2.3630e9	2.3630e9	-5.4200e8	-2.0700e8	1.92e8	2.8e8	2.8e8	2.82e8	2.82e8	2.82e8	null	2.3580e9
"2021-12-31 00:00:00"	9.94e8	0.0	-2.1740e9	1.7930e9	2e6	-1.8300e8	1.4210e9	8.94e8	5.27e8	-4.6300e8	-4.6300e8	-2.3400e8	0.0	0.0	2e6	0.0	2e6	-2.3100e8	1.5e8	-3.8100e8	-2.1740e9	1.7930e9	-1.8700e8	-1.8700e8	-1.6e7	0.0	null	0.0	1.2e7	1.2e7	-1.8300e8	1.1770e9	1.1770e9	1.1e8	-3.9200e8	1.82e8	-2.8100e8	-2.8100e8	2.95e8	2.95e8	2.95e8	1.64e8	1.0990e9
"2020-12-31 00:00:00"	1.5040e9	-1.5000e8	-1.8870e9	3.5610e9	0.0	-1.3500e8	8.94e8	2.53e8	6.41e8	-1.0330e9	-1.0330e9	-1.1100e8	-1.5600e8	-1.5600e8	-1.5000e8	-1.5000e8	0.0	-6.1600e8	-2.2900e9	1.6740e9	-1.8870e9	3.5610e9	3.5e7	3.5e7	-9e7	2.6e8	2.6e8	null	2.6e8	2.6e8	-1.3500e8	1.6390e9	1.6390e9	-2.8e7	1.7300e9	2.01e8	-4.7800e8	-4.7800e8	4.78e8	4.78e8	4.78e8	3e6	-2.6700e8
"2019-12-31 00:00:00"	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	3.95e8	null	null	null	null	null	null	null	null	null	null	null	null	null	null	-1.4700e8	null