From ed567304652cbda1ab37594e6cb646b80fc9dd03 Mon Sep 17 00:00:00 2001
From: Bhargav Kowshik <bhargav@mapbox.com>
Date: Mon, 10 Apr 2017 15:48:14 +0530
Subject: [PATCH 1/6] Analysis for v2 of invalid-tag-modification

---
 .../invalid-tag-modification-v2.ipynb         | 321 ++++++++++++++++++
 1 file changed, 321 insertions(+)
 create mode 100644 analysis/invalid-tag-modification/invalid-tag-modification-v2.ipynb

diff --git a/analysis/invalid-tag-modification/invalid-tag-modification-v2.ipynb b/analysis/invalid-tag-modification/invalid-tag-modification-v2.ipynb
new file mode 100644
index 0000000..0a89ce6
--- /dev/null
+++ b/analysis/invalid-tag-modification/invalid-tag-modification-v2.ipynb
@@ -0,0 +1,321 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Invalid Tag Modification - v2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Questions\n",
+    "- Number of changesets flagged total/everyday\n",
+    "- Number of changesets reviewed total/everyday\n",
+    "- Number of changesets harmful total/everyday\n",
+    "- What is the *Hit rate*\n",
+    "\n",
+    "---\n",
+    "\n",
+    "- Different types of modifications\n",
+    "- Counts for different types of modifications"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "%config InlineBackend.figure_format = 'retina'\n",
+    "\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ID</th>\n",
+       "      <th>user</th>\n",
+       "      <th>editor</th>\n",
+       "      <th>Powerfull Editor</th>\n",
+       "      <th>comment</th>\n",
+       "      <th>source</th>\n",
+       "      <th>imagery used</th>\n",
+       "      <th>date</th>\n",
+       "      <th>reasons</th>\n",
+       "      <th>reasons__name</th>\n",
+       "      <th>create</th>\n",
+       "      <th>modify</th>\n",
+       "      <th>delete</th>\n",
+       "      <th>bbox</th>\n",
+       "      <th>is suspect</th>\n",
+       "      <th>harmful</th>\n",
+       "      <th>checked</th>\n",
+       "      <th>check_user__username</th>\n",
+       "      <th>check date</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>47616014</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2017-04-10T09:20:50+00:00</td>\n",
+       "      <td>42</td>\n",
+       "      <td>Invalid tag modification</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>True</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>47616001</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2017-04-10T09:20:11+00:00</td>\n",
+       "      <td>42</td>\n",
+       "      <td>Invalid tag modification</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>True</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         ID user editor Powerfull Editor comment source imagery used  \\\n",
+       "0  47616014  NaN    NaN            False     NaN    NaN          NaN   \n",
+       "1  47616001  NaN    NaN            False     NaN    NaN          NaN   \n",
+       "\n",
+       "                        date  reasons             reasons__name  create  \\\n",
+       "0  2017-04-10T09:20:50+00:00       42  Invalid tag modification     NaN   \n",
+       "1  2017-04-10T09:20:11+00:00       42  Invalid tag modification     NaN   \n",
+       "\n",
+       "   modify  delete bbox is suspect harmful checked check_user__username  \\\n",
+       "0     NaN     NaN  NaN       True     NaN   False                  NaN   \n",
+       "1     NaN     NaN  NaN       True     NaN   False                  NaN   \n",
+       "\n",
+       "  check date  \n",
+       "0        NaN  \n",
+       "1        NaN  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "changesets = pd.read_csv('changesets.csv')\n",
+    "changesets.head(2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Convert \"date\" from string to a datetime object.\n",
+    "changesets['date'] = pd.to_datetime(changesets['date'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Leave out changesets from the current day which is still incomplete.\n",
+    "import datetime\n",
+    "changesets = changesets[changesets['date'] < datetime.datetime(2017, 4, 10)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Before duplicate removal: 7644\n",
+      "After duplicate removal: 7644\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Check for any duplicate changesets.\n",
+    "print('Before duplicate removal: {}'.format(changesets.shape[0]))\n",
+    "print('After duplicate removal: {}'.format(changesets.drop_duplicates('ID').shape[0]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Changesets labelled \"Invalid tag modification\": 7644\n",
+      "Changesets checked: 220\n",
+      "Changesets harmful: 25\n",
+      "Hit rate: 11.36%\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('Changesets labelled \"Invalid tag modification\": {}'.format(changesets.shape[0]))\n",
+    "\n",
+    "checked_changesets = changesets[changesets['checked'] == True]\n",
+    "print('Changesets checked: {}'.format(checked_changesets.shape[0]))\n",
+    "\n",
+    "harmful_changesets = changesets[changesets['harmful'] == True]\n",
+    "print('Changesets harmful: {}'.format(harmful_changesets.shape[0]))\n",
+    "\n",
+    "hit_rate = round(100.0 * harmful_changesets.shape[0] / checked_changesets.shape[0], 2)\n",
+    "print('Hit rate: {}%'.format(hit_rate))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Changesets labelled everyday: 1274\n",
+      "Changesets checked everyday: 37\n",
+      "Changesets harmful everyday: 4\n",
+      "Hit rate: 11.36%\n"
+     ]
+    }
+   ],
+   "source": [
+    "counts = changesets.groupby(pd.Grouper(key='date', freq='1d'))['ID'].count()\n",
+    "print('Changesets labelled everyday: {}'.format(round(counts.mean())))\n",
+    "\n",
+    "checked_counts = checked_changesets.groupby(pd.Grouper(key='date', freq='1d'))['ID'].count()\n",
+    "print('Changesets checked everyday: {}'.format(round(checked_counts.mean())))\n",
+    "\n",
+    "harmful_counts = harmful_changesets.groupby(pd.Grouper(key='date', freq='1d'))['ID'].count()\n",
+    "print('Changesets harmful everyday: {}'.format(round(harmful_counts.mean())))\n",
+    "\n",
+    "hit_rate = round(100.0 * harmful_counts.mean() / checked_counts.mean(), 2)\n",
+    "print('Hit rate: {}%'.format(hit_rate))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x110274cf8>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 533,
+       "width": 784
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "daily_counts = changesets.groupby(pd.Grouper(key='date', freq='1d'))['ID'].count()\n",
+    "ax = daily_counts.plot.bar()\n",
+    "ax.set_xlabel('')\n",
+    "ax.set_xticklabels([str(item) for item in daily_counts.keys().date]);\n",
+    "ax.set_ylabel('Changesets labelled \"Invalid tag modification\"')\n",
+    "plt.tight_layout()"
+   ]
+  }
+ ],
+ "metadata": {
+  "anaconda-cloud": {},
+  "kernelspec": {
+   "display_name": "Python [conda root]",
+   "language": "python",
+   "name": "conda-root-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.5.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

From 81076487ad9abcd77584ce8bf7a690aac416c79b Mon Sep 17 00:00:00 2001
From: Bhargav Kowshik <bhargav@mapbox.com>
Date: Tue, 11 Apr 2017 11:25:44 +0530
Subject: [PATCH 2/6] Graph frequency of primary keys deleted

---
 .../invalid-tag-modification-v2.ipynb         | 186 +++++++++++++++++-
 1 file changed, 180 insertions(+), 6 deletions(-)

diff --git a/analysis/invalid-tag-modification/invalid-tag-modification-v2.ipynb b/analysis/invalid-tag-modification/invalid-tag-modification-v2.ipynb
index 0a89ce6..07cabe6 100644
--- a/analysis/invalid-tag-modification/invalid-tag-modification-v2.ipynb
+++ b/analysis/invalid-tag-modification/invalid-tag-modification-v2.ipynb
@@ -41,15 +41,13 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "import pandas as pd\n",
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
-    "import seaborn as sns"
+    "import seaborn as sns; sns.set_style('ticks')"
    ]
   },
   {
@@ -272,9 +270,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
-       "<matplotlib.figure.Figure at 0x110274cf8>"
+       "<matplotlib.figure.Figure at 0x10f4b8550>"
       ]
      },
      "metadata": {
@@ -294,6 +292,182 @@
     "ax.set_ylabel('Changesets labelled \"Invalid tag modification\"')\n",
     "plt.tight_layout()"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(1892, 5)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>changeset_id</th>\n",
+       "      <th>harmful</th>\n",
+       "      <th>feature_url</th>\n",
+       "      <th>added</th>\n",
+       "      <th>deleted</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>47622129</td>\n",
+       "      <td>True</td>\n",
+       "      <td>http://osmcha.mapbox.com/47622129/features/way...</td>\n",
+       "      <td>building</td>\n",
+       "      <td>landuse</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>47614882</td>\n",
+       "      <td>False</td>\n",
+       "      <td>http://osmcha.mapbox.com/47614882/features/way...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>building</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>47611562</td>\n",
+       "      <td>False</td>\n",
+       "      <td>http://osmcha.mapbox.com/47611562/features/nod...</td>\n",
+       "      <td>historic</td>\n",
+       "      <td>amenity</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>47610141</td>\n",
+       "      <td>True</td>\n",
+       "      <td>http://osmcha.mapbox.com/47610141/features/nod...</td>\n",
+       "      <td>tourism</td>\n",
+       "      <td>amenity</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>47609653</td>\n",
+       "      <td>False</td>\n",
+       "      <td>http://osmcha.mapbox.com/47609653/features/way...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>building</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   changeset_id harmful                                        feature_url  \\\n",
+       "0      47622129    True  http://osmcha.mapbox.com/47622129/features/way...   \n",
+       "1      47614882   False  http://osmcha.mapbox.com/47614882/features/way...   \n",
+       "2      47611562   False  http://osmcha.mapbox.com/47611562/features/nod...   \n",
+       "3      47610141    True  http://osmcha.mapbox.com/47610141/features/nod...   \n",
+       "4      47609653   False  http://osmcha.mapbox.com/47609653/features/way...   \n",
+       "\n",
+       "      added   deleted  \n",
+       "0  building   landuse  \n",
+       "1       NaN  building  \n",
+       "2  historic   amenity  \n",
+       "3   tourism   amenity  \n",
+       "4       NaN  building  "
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "modifications = pd.read_csv('invalid-tag-modifications-v2.csv')\n",
+    "print(modifications.shape)\n",
+    "modifications.head(5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "deleted\n",
+       "building            879\n",
+       "natural             379\n",
+       "landuse             230\n",
+       "amenity             113\n",
+       "highway             104\n",
+       "leisure              81\n",
+       "waterway             34\n",
+       "shop                 15\n",
+       "sport                15\n",
+       "boundary             14\n",
+       "tourism               7\n",
+       "office                5\n",
+       "public_transport      5\n",
+       "aeroway               5\n",
+       "historic              1\n",
+       "railway               1\n",
+       "emergency             1\n",
+       "Name: feature_url, dtype: int64"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "modification_counts = modifications.groupby('deleted')['feature_url'].count()\n",
+    "modification_counts.sort(ascending=False)\n",
+    "modification_counts"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.text.Text at 0x1104a1cf8>"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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P7770iS9MZYws2bNyNJEo0aNSrskHXWrl27uHPnDpCzZ1DDhg2JiYnh2rVr1K9fn1q1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T1MmTJ3NcR+mXX36xvL7//vvzfMy8aNy4seV1TiOmkpKS9MYb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\nKLL+H0LUAnIDS34RAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x10fae7588>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 552,
+       "width": 857
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ax = modification_counts.plot.bar(figsize=(10,5))\n",
+    "ax.set_xlabel('Primary tag of feature deleted')\n",
+    "ax.set_ylabel('Number of features')"
+   ]
   }
  ],
  "metadata": {

From 199099d6d8c56e5a3d132a8940787fb6643d89e5 Mon Sep 17 00:00:00 2001
From: Bhargav Kowshik <bhargav@mapbox.com>
Date: Tue, 11 Apr 2017 15:58:30 +0530
Subject: [PATCH 3/6] Cleaned up modification analysis

---
 .../invalid-tag-modification-v2.ipynb         | 1360 ++++++++++++++++-
 1 file changed, 1298 insertions(+), 62 deletions(-)

diff --git a/analysis/invalid-tag-modification/invalid-tag-modification-v2.ipynb b/analysis/invalid-tag-modification/invalid-tag-modification-v2.ipynb
index 07cabe6..a1daab3 100644
--- a/analysis/invalid-tag-modification/invalid-tag-modification-v2.ipynb
+++ b/analysis/invalid-tag-modification/invalid-tag-modification-v2.ipynb
@@ -41,7 +41,9 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "import pandas as pd\n",
@@ -53,6 +55,19 @@
   {
    "cell_type": "code",
    "execution_count": 3,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Display full (non-truncated) dataframe information in html.\n",
+    "# Per http://stackoverflow.com/a/25352191/3453958\n",
+    "pd.set_option('display.max_colwidth', -1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -135,23 +150,23 @@
       ],
       "text/plain": [
        "         ID user editor Powerfull Editor comment source imagery used  \\\n",
-       "0  47616014  NaN    NaN            False     NaN    NaN          NaN   \n",
-       "1  47616001  NaN    NaN            False     NaN    NaN          NaN   \n",
+       "0  47616014  NaN  NaN    False            NaN     NaN    NaN           \n",
+       "1  47616001  NaN  NaN    False            NaN     NaN    NaN           \n",
        "\n",
        "                        date  reasons             reasons__name  create  \\\n",
-       "0  2017-04-10T09:20:50+00:00       42  Invalid tag modification     NaN   \n",
-       "1  2017-04-10T09:20:11+00:00       42  Invalid tag modification     NaN   \n",
+       "0  2017-04-10T09:20:50+00:00  42       Invalid tag modification NaN       \n",
+       "1  2017-04-10T09:20:11+00:00  42       Invalid tag modification NaN       \n",
        "\n",
        "   modify  delete bbox is suspect harmful checked check_user__username  \\\n",
-       "0     NaN     NaN  NaN       True     NaN   False                  NaN   \n",
-       "1     NaN     NaN  NaN       True     NaN   False                  NaN   \n",
+       "0 NaN     NaN      NaN  True       NaN     False   NaN                   \n",
+       "1 NaN     NaN      NaN  True       NaN     False   NaN                   \n",
        "\n",
        "  check date  \n",
-       "0        NaN  \n",
-       "1        NaN  "
+       "0  NaN        \n",
+       "1  NaN        "
       ]
      },
-     "execution_count": 3,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -163,22 +178,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {
     "collapsed": true
    },
    "outputs": [],
    "source": [
     "# Convert \"date\" from string to a datetime object.\n",
-    "changesets['date'] = pd.to_datetime(changesets['date'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
+    "changesets['date'] = pd.to_datetime(changesets['date'])\n",
+    "\n",
     "# Leave out changesets from the current day which is still incomplete.\n",
     "import datetime\n",
     "changesets = changesets[changesets['date'] < datetime.datetime(2017, 4, 10)]"
@@ -270,9 +278,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
-       "<matplotlib.figure.Figure at 0x10f4b8550>"
+       "<matplotlib.figure.Figure at 0x10f4da550>"
       ]
      },
      "metadata": {
@@ -293,6 +301,13 @@
     "plt.tight_layout()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Different kinds of modifications"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 10,
@@ -316,7 +331,7 @@
        "      <th>changeset_id</th>\n",
        "      <th>harmful</th>\n",
        "      <th>feature_url</th>\n",
-       "      <th>added</th>\n",
+       "      <th>created</th>\n",
        "      <th>deleted</th>\n",
        "    </tr>\n",
        "  </thead>\n",
@@ -325,7 +340,7 @@
        "      <th>0</th>\n",
        "      <td>47622129</td>\n",
        "      <td>True</td>\n",
-       "      <td>http://osmcha.mapbox.com/47622129/features/way...</td>\n",
+       "      <td>http://osmcha.mapbox.com/47622129/features/way-478636519/</td>\n",
        "      <td>building</td>\n",
        "      <td>landuse</td>\n",
        "    </tr>\n",
@@ -333,7 +348,7 @@
        "      <th>1</th>\n",
        "      <td>47614882</td>\n",
        "      <td>False</td>\n",
-       "      <td>http://osmcha.mapbox.com/47614882/features/way...</td>\n",
+       "      <td>http://osmcha.mapbox.com/47614882/features/way-479406193/</td>\n",
        "      <td>NaN</td>\n",
        "      <td>building</td>\n",
        "    </tr>\n",
@@ -341,7 +356,7 @@
        "      <th>2</th>\n",
        "      <td>47611562</td>\n",
        "      <td>False</td>\n",
-       "      <td>http://osmcha.mapbox.com/47611562/features/nod...</td>\n",
+       "      <td>http://osmcha.mapbox.com/47611562/features/node-358792677/</td>\n",
        "      <td>historic</td>\n",
        "      <td>amenity</td>\n",
        "    </tr>\n",
@@ -349,7 +364,7 @@
        "      <th>3</th>\n",
        "      <td>47610141</td>\n",
        "      <td>True</td>\n",
-       "      <td>http://osmcha.mapbox.com/47610141/features/nod...</td>\n",
+       "      <td>http://osmcha.mapbox.com/47610141/features/node-4551592489/</td>\n",
        "      <td>tourism</td>\n",
        "      <td>amenity</td>\n",
        "    </tr>\n",
@@ -357,7 +372,7 @@
        "      <th>4</th>\n",
        "      <td>47609653</td>\n",
        "      <td>False</td>\n",
-       "      <td>http://osmcha.mapbox.com/47609653/features/way...</td>\n",
+       "      <td>http://osmcha.mapbox.com/47609653/features/way-485761848/</td>\n",
        "      <td>NaN</td>\n",
        "      <td>building</td>\n",
        "    </tr>\n",
@@ -366,19 +381,26 @@
        "</div>"
       ],
       "text/plain": [
-       "   changeset_id harmful                                        feature_url  \\\n",
-       "0      47622129    True  http://osmcha.mapbox.com/47622129/features/way...   \n",
-       "1      47614882   False  http://osmcha.mapbox.com/47614882/features/way...   \n",
-       "2      47611562   False  http://osmcha.mapbox.com/47611562/features/nod...   \n",
-       "3      47610141    True  http://osmcha.mapbox.com/47610141/features/nod...   \n",
-       "4      47609653   False  http://osmcha.mapbox.com/47609653/features/way...   \n",
+       "   changeset_id harmful  \\\n",
+       "0  47622129      True     \n",
+       "1  47614882      False    \n",
+       "2  47611562      False    \n",
+       "3  47610141      True     \n",
+       "4  47609653      False    \n",
+       "\n",
+       "                                                   feature_url   created  \\\n",
+       "0  http://osmcha.mapbox.com/47622129/features/way-478636519/    building   \n",
+       "1  http://osmcha.mapbox.com/47614882/features/way-479406193/    NaN        \n",
+       "2  http://osmcha.mapbox.com/47611562/features/node-358792677/   historic   \n",
+       "3  http://osmcha.mapbox.com/47610141/features/node-4551592489/  tourism    \n",
+       "4  http://osmcha.mapbox.com/47609653/features/way-485761848/    NaN        \n",
        "\n",
-       "      added   deleted  \n",
-       "0  building   landuse  \n",
-       "1       NaN  building  \n",
-       "2  historic   amenity  \n",
-       "3   tourism   amenity  \n",
-       "4       NaN  building  "
+       "    deleted  \n",
+       "0  landuse   \n",
+       "1  building  \n",
+       "2  amenity   \n",
+       "3  amenity   \n",
+       "4  building  "
       ]
      },
      "execution_count": 10,
@@ -396,6 +418,91 @@
    "cell_type": "code",
    "execution_count": 11,
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>changeset_id</th>\n",
+       "      <th>harmful</th>\n",
+       "      <th>feature_url</th>\n",
+       "      <th>created</th>\n",
+       "      <th>deleted</th>\n",
+       "      <th>feature_type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>47622129</td>\n",
+       "      <td>True</td>\n",
+       "      <td>http://osmcha.mapbox.com/47622129/features/way-478636519/</td>\n",
+       "      <td>building</td>\n",
+       "      <td>landuse</td>\n",
+       "      <td>way</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>47614882</td>\n",
+       "      <td>False</td>\n",
+       "      <td>http://osmcha.mapbox.com/47614882/features/way-479406193/</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>building</td>\n",
+       "      <td>way</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>47611562</td>\n",
+       "      <td>False</td>\n",
+       "      <td>http://osmcha.mapbox.com/47611562/features/node-358792677/</td>\n",
+       "      <td>historic</td>\n",
+       "      <td>amenity</td>\n",
+       "      <td>node</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   changeset_id harmful  \\\n",
+       "0  47622129      True     \n",
+       "1  47614882      False    \n",
+       "2  47611562      False    \n",
+       "\n",
+       "                                                  feature_url   created  \\\n",
+       "0  http://osmcha.mapbox.com/47622129/features/way-478636519/   building   \n",
+       "1  http://osmcha.mapbox.com/47614882/features/way-479406193/   NaN        \n",
+       "2  http://osmcha.mapbox.com/47611562/features/node-358792677/  historic   \n",
+       "\n",
+       "    deleted feature_type  \n",
+       "0  landuse   way          \n",
+       "1  building  way          \n",
+       "2  amenity   node         "
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def get_feature_type(feature_url):\n",
+    "    if 'relation' in feature_url: return 'relation'\n",
+    "    elif 'node' in feature_url: return 'node'\n",
+    "    elif 'way' in feature_url: return 'way'\n",
+    "\n",
+    "modifications['feature_type'] = modifications['feature_url'].apply(get_feature_type)\n",
+    "modifications.head(3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -406,67 +513,1196 @@
        "landuse             230\n",
        "amenity             113\n",
        "highway             104\n",
-       "leisure              81\n",
-       "waterway             34\n",
-       "shop                 15\n",
-       "sport                15\n",
-       "boundary             14\n",
-       "tourism               7\n",
-       "office                5\n",
-       "public_transport      5\n",
-       "aeroway               5\n",
-       "historic              1\n",
-       "railway               1\n",
-       "emergency             1\n",
+       "leisure             81 \n",
+       "waterway            34 \n",
+       "shop                15 \n",
+       "sport               15 \n",
+       "boundary            14 \n",
+       "tourism             7  \n",
+       "office              5  \n",
+       "public_transport    5  \n",
+       "aeroway             5  \n",
+       "historic            1  \n",
+       "railway             1  \n",
+       "emergency           1  \n",
        "Name: feature_url, dtype: int64"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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FAAAg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\n6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ZYzzjgjt99+e+66667cf//99W7wd+GFF2bixIl54403ylcbnnDCCUsMqors+OOPz803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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x10fbd7d68>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 591,
+       "width": 702
+      }
+     },
+     "output_type": "display_data"
     }
    ],
    "source": [
     "modification_counts = modifications.groupby('deleted')['feature_url'].count()\n",
     "modification_counts.sort(ascending=False)\n",
+    "\n",
+    "ax = modification_counts.plot.bar()\n",
+    "ax.set_xlabel('Primary tag of feature deleted')\n",
+    "ax.set_ylabel('Number of features')\n",
+    "\n",
     "modification_counts"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### How does this vary for just the harmful changesets?"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.text.Text at 0x1104a1cf8>"
+       "deleted\n",
+       "landuse     9\n",
+       "building    6\n",
+       "amenity     5\n",
+       "natural     4\n",
+       "office      3\n",
+       "leisure     3\n",
+       "highway     2\n",
+       "waterway    1\n",
+       "tourism     1\n",
+       "Name: feature_url, dtype: int64"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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P7770iS9MZYws2bNyNJEo0aNSrskHXWrl27uHPnDpCzZ1DDhg2JiYnh2rVr1K9fn1q1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cgvywIiIi+PPPP61/e3t7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\n2elgyrQ7D6IAAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x10fae7588>"
+       "<matplotlib.figure.Figure at 0x10a942400>"
       ]
      },
      "metadata": {
       "image/png": {
-       "height": 552,
-       "width": 857
+       "height": 550,
+       "width": 687
       }
      },
      "output_type": "display_data"
     }
    ],
    "source": [
-    "ax = modification_counts.plot.bar(figsize=(10,5))\n",
+    "harmful_modification_counts = modifications[modifications['harmful'] == True].groupby('deleted')['feature_url'].count()\n",
+    "harmful_modification_counts.sort(ascending=False)\n",
+    "\n",
+    "ax = harmful_modification_counts.plot.bar()\n",
     "ax.set_xlabel('Primary tag of feature deleted')\n",
-    "ax.set_ylabel('Number of features')"
+    "ax.set_ylabel('Number of \"harmful\" features')\n",
+    "\n",
+    "harmful_modification_counts"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Combining primary tag deleted and created"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>created</th>\n",
+       "      <th>amenity</th>\n",
+       "      <th>building</th>\n",
+       "      <th>highway</th>\n",
+       "      <th>historic</th>\n",
+       "      <th>landuse</th>\n",
+       "      <th>leisure</th>\n",
+       "      <th>man_made</th>\n",
+       "      <th>natural</th>\n",
+       "      <th>office</th>\n",
+       "      <th>power</th>\n",
+       "      <th>public_transport</th>\n",
+       "      <th>shop</th>\n",
+       "      <th>sport</th>\n",
+       "      <th>tourism</th>\n",
+       "      <th>waterway</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>deleted</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>amenity</th>\n",
+       "      <td></td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td>3</td>\n",
+       "      <td></td>\n",
+       "      <td>7</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>2</td>\n",
+       "      <td></td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>building</th>\n",
+       "      <td>16</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>13</td>\n",
+       "      <td>4</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>highway</th>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>landuse</th>\n",
+       "      <td>6</td>\n",
+       "      <td>8</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>15</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>leisure</th>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td>2</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>natural</th>\n",
+       "      <td></td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>1</td>\n",
+       "      <td>9</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>office</th>\n",
+       "      <td>2</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>shop</th>\n",
+       "      <td>3</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tourism</th>\n",
+       "      <td></td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>waterway</th>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "created  amenity building highway historic landuse leisure man_made natural  \\\n",
+       "deleted                                                                       \n",
+       "amenity           1                3                7                         \n",
+       "building  16                                13      4                         \n",
+       "highway                                     2       2                         \n",
+       "landuse   6       8                                 15      1        2        \n",
+       "leisure   1                1                2                                 \n",
+       "natural           1                         1       9                         \n",
+       "office    2                                                                   \n",
+       "shop      3                                                                   \n",
+       "tourism           1                                                           \n",
+       "waterway                                            1                         \n",
+       "\n",
+       "created  office power public_transport shop sport tourism waterway  \n",
+       "deleted                                                             \n",
+       "amenity   2            1                5    1     1                \n",
+       "building                                2    1                      \n",
+       "highway          1                           1                      \n",
+       "landuse                                            1                \n",
+       "leisure                                                    1        \n",
+       "natural                                                    1        \n",
+       "office                                                              \n",
+       "shop      1                                                         \n",
+       "tourism                                                             \n",
+       "waterway                                                            "
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "modifications.groupby(['deleted', 'created'])['feature_url'].count().unstack().fillna('')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>created</th>\n",
+       "      <th>amenity</th>\n",
+       "      <th>building</th>\n",
+       "      <th>landuse</th>\n",
+       "      <th>leisure</th>\n",
+       "      <th>office</th>\n",
+       "      <th>tourism</th>\n",
+       "      <th>waterway</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>deleted</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>amenity</th>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>building</th>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>highway</th>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>2</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>landuse</th>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td></td>\n",
+       "      <td>2</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>leisure</th>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>natural</th>\n",
+       "      <td></td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td>2</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>office</th>\n",
+       "      <td>2</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tourism</th>\n",
+       "      <td></td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "created  amenity building landuse leisure office tourism waterway\n",
+       "deleted                                                          \n",
+       "amenity                            3       1      1              \n",
+       "building  1                1       3                             \n",
+       "highway                    2                                     \n",
+       "landuse   1       4                2                             \n",
+       "leisure   1                1                              1      \n",
+       "natural           1                2                             \n",
+       "office    2                                                      \n",
+       "tourism           1                                              "
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "modifications[modifications['harmful'] == True].groupby(['deleted', 'created'])['feature_url'].count().unstack().fillna('')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### What do the outliers look like?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>changeset_id</th>\n",
+       "      <th>harmful</th>\n",
+       "      <th>feature_url</th>\n",
+       "      <th>created</th>\n",
+       "      <th>deleted</th>\n",
+       "      <th>feature_type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>47622129</td>\n",
+       "      <td>True</td>\n",
+       "      <td>http://osmcha.mapbox.com/47622129/features/way-478636519/</td>\n",
+       "      <td>building</td>\n",
+       "      <td>landuse</td>\n",
+       "      <td>way</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>574</th>\n",
+       "      <td>47571450</td>\n",
+       "      <td>True</td>\n",
+       "      <td>http://osmcha.mapbox.com/47571450/features/way-237855321/</td>\n",
+       "      <td>building</td>\n",
+       "      <td>landuse</td>\n",
+       "      <td>way</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>593</th>\n",
+       "      <td>47556010</td>\n",
+       "      <td>True</td>\n",
+       "      <td>http://osmcha.mapbox.com/47556010/features/way-362351419/</td>\n",
+       "      <td>building</td>\n",
+       "      <td>landuse</td>\n",
+       "      <td>way</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>597</th>\n",
+       "      <td>47551986</td>\n",
+       "      <td>True</td>\n",
+       "      <td>http://osmcha.mapbox.com/47551986/features/way-388038174/</td>\n",
+       "      <td>building</td>\n",
+       "      <td>landuse</td>\n",
+       "      <td>way</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>868</th>\n",
+       "      <td>47521192</td>\n",
+       "      <td>False</td>\n",
+       "      <td>http://osmcha.mapbox.com/47521192/features/relation-4656986/</td>\n",
+       "      <td>building</td>\n",
+       "      <td>landuse</td>\n",
+       "      <td>relation</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     changeset_id harmful  \\\n",
+       "0    47622129      True     \n",
+       "574  47571450      True     \n",
+       "593  47556010      True     \n",
+       "597  47551986      True     \n",
+       "868  47521192      False    \n",
+       "\n",
+       "                                                      feature_url   created  \\\n",
+       "0    http://osmcha.mapbox.com/47622129/features/way-478636519/     building   \n",
+       "574  http://osmcha.mapbox.com/47571450/features/way-237855321/     building   \n",
+       "593  http://osmcha.mapbox.com/47556010/features/way-362351419/     building   \n",
+       "597  http://osmcha.mapbox.com/47551986/features/way-388038174/     building   \n",
+       "868  http://osmcha.mapbox.com/47521192/features/relation-4656986/  building   \n",
+       "\n",
+       "     deleted feature_type  \n",
+       "0    landuse  way          \n",
+       "574  landuse  way          \n",
+       "593  landuse  way          \n",
+       "597  landuse  way          \n",
+       "868  landuse  relation     "
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Out of the 8 features, 4 are labelled to be harmful.\n",
+    "modifications[(modifications['deleted'] == 'landuse') & (modifications['created'] == 'building')].head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>changeset_id</th>\n",
+       "      <th>harmful</th>\n",
+       "      <th>feature_url</th>\n",
+       "      <th>created</th>\n",
+       "      <th>deleted</th>\n",
+       "      <th>feature_type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>47604730</td>\n",
+       "      <td>True</td>\n",
+       "      <td>http://osmcha.mapbox.com/47604730/features/way-183982670/</td>\n",
+       "      <td>leisure</td>\n",
+       "      <td>amenity</td>\n",
+       "      <td>way</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>542</th>\n",
+       "      <td>47589949</td>\n",
+       "      <td>False</td>\n",
+       "      <td>http://osmcha.mapbox.com/47589949/features/way-367582686/</td>\n",
+       "      <td>leisure</td>\n",
+       "      <td>amenity</td>\n",
+       "      <td>way</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>547</th>\n",
+       "      <td>47584359</td>\n",
+       "      <td>True</td>\n",
+       "      <td>http://osmcha.mapbox.com/47584359/features/node-357789647/</td>\n",
+       "      <td>leisure</td>\n",
+       "      <td>amenity</td>\n",
+       "      <td>node</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>548</th>\n",
+       "      <td>47584339</td>\n",
+       "      <td>True</td>\n",
+       "      <td>http://osmcha.mapbox.com/47584339/features/node-357789645/</td>\n",
+       "      <td>leisure</td>\n",
+       "      <td>amenity</td>\n",
+       "      <td>node</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>563</th>\n",
+       "      <td>47577607</td>\n",
+       "      <td>False</td>\n",
+       "      <td>http://osmcha.mapbox.com/47577607/features/relation-1874805/</td>\n",
+       "      <td>leisure</td>\n",
+       "      <td>amenity</td>\n",
+       "      <td>relation</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     changeset_id harmful  \\\n",
+       "22   47604730      True     \n",
+       "542  47589949      False    \n",
+       "547  47584359      True     \n",
+       "548  47584339      True     \n",
+       "563  47577607      False    \n",
+       "\n",
+       "                                                      feature_url  created  \\\n",
+       "22   http://osmcha.mapbox.com/47604730/features/way-183982670/     leisure   \n",
+       "542  http://osmcha.mapbox.com/47589949/features/way-367582686/     leisure   \n",
+       "547  http://osmcha.mapbox.com/47584359/features/node-357789647/    leisure   \n",
+       "548  http://osmcha.mapbox.com/47584339/features/node-357789645/    leisure   \n",
+       "563  http://osmcha.mapbox.com/47577607/features/relation-1874805/  leisure   \n",
+       "\n",
+       "     deleted feature_type  \n",
+       "22   amenity  way          \n",
+       "542  amenity  way          \n",
+       "547  amenity  node         \n",
+       "548  amenity  node         \n",
+       "563  amenity  relation     "
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Out of the 7 features, 3 are labelled to be harmful.\n",
+    "modifications[(modifications['deleted'] == 'amenity') & (modifications['created'] == 'leisure')].head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## What are the buildings becoming then?\n",
+    "- With `879` features, `building` are the most deleted primary tag of features.\n",
+    "- If `building` get's deleted, what do these features become next?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Another primary tag was added: 36\n",
+      "Another primary tag was not added: 843\n"
+     ]
+    }
+   ],
+   "source": [
+    "building_modifications = modifications[modifications['deleted'] == 'building']\n",
+    "\n",
+    "print('Another primary tag was added: {}'.format(building_modifications[modifications['created'].isnull() == False].shape[0]))\n",
+    "print('Another primary tag was not added: {}'.format(building_modifications[modifications['created'].isnull() == True].shape[0]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>changeset_id</th>\n",
+       "      <th>harmful</th>\n",
+       "      <th>feature_url</th>\n",
+       "      <th>created</th>\n",
+       "      <th>deleted</th>\n",
+       "      <th>feature_type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>47614882</td>\n",
+       "      <td>False</td>\n",
+       "      <td>http://osmcha.mapbox.com/47614882/features/way-479406193/</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>building</td>\n",
+       "      <td>way</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>47609653</td>\n",
+       "      <td>False</td>\n",
+       "      <td>http://osmcha.mapbox.com/47609653/features/way-485761848/</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>building</td>\n",
+       "      <td>way</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>47607994</td>\n",
+       "      <td>False</td>\n",
+       "      <td>http://osmcha.mapbox.com/47607994/features/way-259295888/</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>building</td>\n",
+       "      <td>way</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>47593988</td>\n",
+       "      <td>False</td>\n",
+       "      <td>http://osmcha.mapbox.com/47593988/features/node-1943916496/</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>building</td>\n",
+       "      <td>node</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41</th>\n",
+       "      <td>47592706</td>\n",
+       "      <td>False</td>\n",
+       "      <td>http://osmcha.mapbox.com/47592706/features/way-482872430/</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>building</td>\n",
+       "      <td>way</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    changeset_id harmful  \\\n",
+       "1   47614882      False    \n",
+       "4   47609653      False    \n",
+       "7   47607994      False    \n",
+       "33  47593988      False    \n",
+       "41  47592706      False    \n",
+       "\n",
+       "                                                    feature_url created  \\\n",
+       "1   http://osmcha.mapbox.com/47614882/features/way-479406193/    NaN      \n",
+       "4   http://osmcha.mapbox.com/47609653/features/way-485761848/    NaN      \n",
+       "7   http://osmcha.mapbox.com/47607994/features/way-259295888/    NaN      \n",
+       "33  http://osmcha.mapbox.com/47593988/features/node-1943916496/  NaN      \n",
+       "41  http://osmcha.mapbox.com/47592706/features/way-482872430/    NaN      \n",
+       "\n",
+       "     deleted feature_type  \n",
+       "1   building  way          \n",
+       "4   building  way          \n",
+       "7   building  way          \n",
+       "33  building  node         \n",
+       "41  building  way          "
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "building_deletions = building_modifications[modifications['created'].isnull() == True]\n",
+    "building_deletions_harmful = building_deletions[building_deletions['harmful'] == False]\n",
+    "building_deletions_harmful.head(5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "created\n",
+       "amenity    16\n",
+       "landuse    13\n",
+       "leisure    4 \n",
+       "shop       2 \n",
+       "sport      1 \n",
+       "Name: feature_url, dtype: int64"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "building_counts = building_modifications.groupby('created')['feature_url'].count()\n",
+    "building_counts.sort(ascending=False)\n",
+    "building_counts"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## What is the role of the feature type: `node|way|relation`?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "feature_type\n",
+       "node        110 \n",
+       "relation    14  \n",
+       "way         1768\n",
+       "Name: feature_url, dtype: int64"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x10f993128>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 537,
+       "width": 688
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "feature_type_counts = modifications.groupby('feature_type')['feature_url'].count()\n",
+    "feature_type_counts.plot.bar()\n",
+    "feature_type_counts"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>changeset_id</th>\n",
+       "      <th>harmful</th>\n",
+       "      <th>feature_url</th>\n",
+       "      <th>created</th>\n",
+       "      <th>deleted</th>\n",
+       "      <th>feature_type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>47597674</td>\n",
+       "      <td>False</td>\n",
+       "      <td>http://osmcha.mapbox.com/47597674/features/relation-6259619/</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>amenity</td>\n",
+       "      <td>relation</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>563</th>\n",
+       "      <td>47577607</td>\n",
+       "      <td>False</td>\n",
+       "      <td>http://osmcha.mapbox.com/47577607/features/relation-1874805/</td>\n",
+       "      <td>leisure</td>\n",
+       "      <td>amenity</td>\n",
+       "      <td>relation</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>572</th>\n",
+       "      <td>47573485</td>\n",
+       "      <td>False</td>\n",
+       "      <td>http://osmcha.mapbox.com/47573485/features/relation-6873267/</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>landuse</td>\n",
+       "      <td>relation</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>589</th>\n",
+       "      <td>47562730</td>\n",
+       "      <td>False</td>\n",
+       "      <td>http://osmcha.mapbox.com/47562730/features/relation-4159316/</td>\n",
+       "      <td>leisure</td>\n",
+       "      <td>landuse</td>\n",
+       "      <td>relation</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>591</th>\n",
+       "      <td>47559978</td>\n",
+       "      <td>False</td>\n",
+       "      <td>http://osmcha.mapbox.com/47559978/features/relation-4098955/</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>natural</td>\n",
+       "      <td>relation</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     changeset_id harmful  \\\n",
+       "30   47597674      False    \n",
+       "563  47577607      False    \n",
+       "572  47573485      False    \n",
+       "589  47562730      False    \n",
+       "591  47559978      False    \n",
+       "\n",
+       "                                                      feature_url  created  \\\n",
+       "30   http://osmcha.mapbox.com/47597674/features/relation-6259619/  NaN       \n",
+       "563  http://osmcha.mapbox.com/47577607/features/relation-1874805/  leisure   \n",
+       "572  http://osmcha.mapbox.com/47573485/features/relation-6873267/  NaN       \n",
+       "589  http://osmcha.mapbox.com/47562730/features/relation-4159316/  leisure   \n",
+       "591  http://osmcha.mapbox.com/47559978/features/relation-4098955/  NaN       \n",
+       "\n",
+       "     deleted feature_type  \n",
+       "30   amenity  relation     \n",
+       "563  amenity  relation     \n",
+       "572  landuse  relation     \n",
+       "589  landuse  relation     \n",
+       "591  natural  relation     "
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "relation_modifications = modifications[modifications['feature_type'] == 'relation']\n",
+    "relation_modifications.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Similar to `building`, what are the `natural` becoming then?\n",
+    "- `379` features have `natural` removed."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Another primary tag was added: 12\n",
+      "Another primary tag was not added: 367\n"
+     ]
+    }
+   ],
+   "source": [
+    "natural_modifications = modifications[modifications['deleted'] == 'natural']\n",
+    "print('Another primary tag was added: {}'.format(natural_modifications[modifications['created'].isnull() == False].shape[0]))\n",
+    "print('Another primary tag was not added: {}'.format(natural_modifications[modifications['created'].isnull() == True].shape[0]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(366, 6)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>changeset_id</th>\n",
+       "      <th>harmful</th>\n",
+       "      <th>feature_url</th>\n",
+       "      <th>created</th>\n",
+       "      <th>deleted</th>\n",
+       "      <th>feature_type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1552</th>\n",
+       "      <td>47514902</td>\n",
+       "      <td>False</td>\n",
+       "      <td>http://osmcha.mapbox.com/47514902/features/way-4481547/</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>natural</td>\n",
+       "      <td>way</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1556</th>\n",
+       "      <td>47514902</td>\n",
+       "      <td>False</td>\n",
+       "      <td>http://osmcha.mapbox.com/47514902/features/way-4378459/</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>natural</td>\n",
+       "      <td>way</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1564</th>\n",
+       "      <td>47506174</td>\n",
+       "      <td>False</td>\n",
+       "      <td>http://osmcha.mapbox.com/47506174/features/way-254628730/</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>natural</td>\n",
+       "      <td>way</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1566</th>\n",
+       "      <td>47503432</td>\n",
+       "      <td>False</td>\n",
+       "      <td>http://osmcha.mapbox.com/47503432/features/way-220061579/</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>natural</td>\n",
+       "      <td>way</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1570</th>\n",
+       "      <td>47502590</td>\n",
+       "      <td>False</td>\n",
+       "      <td>http://osmcha.mapbox.com/47502590/features/way-207270861/</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>natural</td>\n",
+       "      <td>way</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      changeset_id harmful  \\\n",
+       "1552  47514902      False    \n",
+       "1556  47514902      False    \n",
+       "1564  47506174      False    \n",
+       "1566  47503432      False    \n",
+       "1570  47502590      False    \n",
+       "\n",
+       "                                                    feature_url created  \\\n",
+       "1552  http://osmcha.mapbox.com/47514902/features/way-4481547/    NaN      \n",
+       "1556  http://osmcha.mapbox.com/47514902/features/way-4378459/    NaN      \n",
+       "1564  http://osmcha.mapbox.com/47506174/features/way-254628730/  NaN      \n",
+       "1566  http://osmcha.mapbox.com/47503432/features/way-220061579/  NaN      \n",
+       "1570  http://osmcha.mapbox.com/47502590/features/way-207270861/  NaN      \n",
+       "\n",
+       "      deleted feature_type  \n",
+       "1552  natural  way          \n",
+       "1556  natural  way          \n",
+       "1564  natural  way          \n",
+       "1566  natural  way          \n",
+       "1570  natural  way          "
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "natural_deletions = natural_modifications[natural_modifications['created'].isnull() == True]\n",
+    "natural_deletions_harmful = natural_deletions[natural_deletions['harmful'] == False]\n",
+    "print(natural_deletions_harmful.shape)\n",
+    "natural_deletions_harmful.tail(5)"
    ]
   }
  ],

From a6ae322434fa52cb433c95c5c322e0be8f7e4384 Mon Sep 17 00:00:00 2001
From: Bhargav Kowshik <bhargav@mapbox.com>
Date: Tue, 11 Apr 2017 15:59:28 +0530
Subject: [PATCH 4/6] Script to scrape osmcha for feature details

---
 .../get_feature_details.py                    | 69 +++++++++++++++++++
 1 file changed, 69 insertions(+)
 create mode 100644 analysis/invalid-tag-modification/get_feature_details.py

diff --git a/analysis/invalid-tag-modification/get_feature_details.py b/analysis/invalid-tag-modification/get_feature_details.py
new file mode 100644
index 0000000..67d21c4
--- /dev/null
+++ b/analysis/invalid-tag-modification/get_feature_details.py
@@ -0,0 +1,69 @@
+from bs4 import BeautifulSoup
+import requests
+import csv
+import json
+
+def parse_changeset_page(changeset_id):
+    """Parse changeset page to extract feature URLs"""
+    url = 'http://osmcha.mapbox.com/{}/'.format(changeset_id)
+    r = requests.get(url)
+
+    # Using BeautifulSoup to parse and scrape feature URLs.
+    soup = BeautifulSoup(r.text, 'html.parser')
+
+    # Filter by the ID of the collapsible feature.
+    div = soup.find(id='collapseOne')
+    table = div.find('table')
+
+    feature_urls = []
+    # Skip header row of the table.
+    for row in table.find_all('tr')[1:]:
+        reasons = row.find_all('td')[-1].text.strip()
+        # Not interested in fetures not flagged by the invalid_tag_modification comparator.
+        if 'modification' not in reasons: continue
+        feature_url = 'http://osmcha.mapbox.com{}'.format(row.find_all('td')[0].find('a')['href'])
+        feature_urls.append(feature_url)
+    return feature_urls
+
+def parse_feature_page(feature_url):
+    """Parse feature page to extract feature details."""
+    primaryTags = [
+        'aerialway', 'aeroway', 'amenity', 'barrier', 'boundary', 'building', 'craft', 'emergency',
+        'geological', 'highway', 'historic', 'landuse', 'leisure', 'man_made', 'military', 'natural',
+        'office', 'places', 'power', 'public_transport', 'railway', 'route', 'shop', 'sport', 'tourism', 'waterway'
+    ]
+    details = {'created': '', 'deleted': ''}
+
+    r = requests.get(feature_url)
+    # Using BeautifulSoup to parse and scrape feature details.
+    soup = BeautifulSoup(r.text, 'html.parser')
+
+    # NOTE: Assuming that the page has only one table.
+    table = soup.find('table')
+
+    # Skip header row of the table.
+    for row in table.find_all('tr')[1:]:
+        tds = [item.text.strip() for item in row.find_all('td')]
+        # We are only interested in primary feature tags.
+        if tds[0] not in primaryTags: continue
+
+        if tds[-1] == 'ADDED': details['created'] = tds[0]
+        elif tds[-1] == 'DELETED': details['deleted'] = tds[0]
+    return [details['created'], details['deleted']]
+
+with open('sample.csv') as f:
+    reader = csv.reader(f)
+    for row in reader:
+        try:
+            changeset_id = str(int(row[0]))
+        except ValueError:
+            # For the header of the csv file.
+            pass
+        else:
+            feature_urls = parse_changeset_page(changeset_id)
+            for feature_url in feature_urls:
+                # Is the changeset harmful or not in the 15th column.
+                changeset_details = [changeset_id, row[15], feature_url]
+                feature_details = parse_feature_page(feature_url)
+                changeset_details.extend(feature_details)
+                print(','.join([str(item) for item in changeset_details]))

From 8d802b6d55975d8a7df75cfe2b43b418cd3e5542 Mon Sep 17 00:00:00 2001
From: Bhargav Kowshik <bhargav@mapbox.com>
Date: Tue, 11 Apr 2017 16:09:38 +0530
Subject: [PATCH 5/6] Do not flag when all properties are removed

---
 comparators/invalid_tag_modification.js      |  3 +++
 tests/fixtures/invalid_tag_modification.json | 16 ++++++++++++++++
 2 files changed, 19 insertions(+)

diff --git a/comparators/invalid_tag_modification.js b/comparators/invalid_tag_modification.js
index 2113b54..ad82c5e 100644
--- a/comparators/invalid_tag_modification.js
+++ b/comparators/invalid_tag_modification.js
@@ -22,6 +22,9 @@ function invalidTagModification(newVersion, oldVersion, callback) {
   var result = {};
   if (!newVersion || !oldVersion) return callback(null, result);
 
+  // If all properties of feature are removed, assume feature is being moved into a relation.
+  if (Object.keys(newVersion.properties).length === 0) return callback(null, {});
+
   var primaryTags = getPrimaryTags(oldVersion.properties);
   // Check if all primary tags are retained in newVersion.
   for (var i = 0; i < primaryTags.length; i++) {
diff --git a/tests/fixtures/invalid_tag_modification.json b/tests/fixtures/invalid_tag_modification.json
index 09ac56e..3724bba 100644
--- a/tests/fixtures/invalid_tag_modification.json
+++ b/tests/fixtures/invalid_tag_modification.json
@@ -132,6 +132,22 @@
         },
         "geometry": null
       }
+    },
+    {
+      "description": "When all properties of a feature are removed, assuming that the feature is being moved to a relation",
+      "expectedResult": {},
+      "newVersion": {
+        "type": "Feature",
+        "properties": {},
+        "geometry": null
+      },
+      "oldVersion": {
+        "type": "Feature",
+        "properties": {
+          "railway": "yes"
+        },
+        "geometry": null
+      }
     }
   ]
 }

From 0c32e37782729aaab42dc872e38721dd7358b694 Mon Sep 17 00:00:00 2001
From: Bhargav Kowshik <bhargav@mapbox.com>
Date: Tue, 11 Apr 2017 16:14:43 +0530
Subject: [PATCH 6/6] Deletion of one primary tag is OK when there are two or
 more

---
 comparators/invalid_tag_modification.js      | 5 +++--
 tests/fixtures/invalid_tag_modification.json | 4 ++--
 2 files changed, 5 insertions(+), 4 deletions(-)

diff --git a/comparators/invalid_tag_modification.js b/comparators/invalid_tag_modification.js
index ad82c5e..c3097f3 100644
--- a/comparators/invalid_tag_modification.js
+++ b/comparators/invalid_tag_modification.js
@@ -26,9 +26,10 @@ function invalidTagModification(newVersion, oldVersion, callback) {
   if (Object.keys(newVersion.properties).length === 0) return callback(null, {});
 
   var primaryTags = getPrimaryTags(oldVersion.properties);
-  // Check if all primary tags are retained in newVersion.
   for (var i = 0; i < primaryTags.length; i++) {
-    if (!(primaryTags[i] in newVersion.properties)) return callback(null, {'result:invalid_tag_modification': true});
+    // Check if all primary tags are retained in newVersion.
+    // If not retained, check if there were two primary tags to start with.
+    if (!(primaryTags[i] in newVersion.properties) && (primaryTags.length < 2)) return callback(null, {'result:invalid_tag_modification': true});
   }
 
   return callback(null, {});
diff --git a/tests/fixtures/invalid_tag_modification.json b/tests/fixtures/invalid_tag_modification.json
index 3724bba..a9d4873 100644
--- a/tests/fixtures/invalid_tag_modification.json
+++ b/tests/fixtures/invalid_tag_modification.json
@@ -115,8 +115,8 @@
       }
     },
     {
-      "description": "Test deletion of a second primary tag to a feature",
-      "expectedResult": {"result:invalid_tag_modification":true},
+      "description": "Test deletion of a second primary tag to a feature. The feature just became more specific",
+      "expectedResult": {},
       "newVersion": {
         "type": "Feature",
         "properties": {