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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Visualization Tool Activity 📊</title>
<style>
body {
font-family: Arial, sans-serif;
background-color: #0d1117;
color: #c9d1d9;
margin: 0;
padding: 0;
}
h1, h2, h3 {
color: #58a6ff;
}
a {
color: #58a6ff;
text-decoration: none;
}
a:hover {
text-decoration: underline;
}
.container {
width: 90%;
margin: 0 auto;
}
header {
text-align: center; /* Center content in the header */
padding: 10px 0; /* Adjust padding to reduce space around the header */
border-bottom: 2px solid #58a6ff;
background-color: #161b22;
}
.logo {
max-height: 50px; /* Adjust the height of the logo if needed */
margin-bottom: 10px; /* Adjust the space below the logo */
}
.logo:last-of-type {
margin-right: 0; /* Remove margin from the last image */
}
h1
{
margin: 0; /* Remove margin from the title to bring it closer to the logo */
}
section {
margin: 20px 0;
padding: 20px;
background-color: #161b22;
border-radius: 8px;
}
.section-header {
display: flex;
justify-content: space-between;
align-items: center;
}
p, ul {
line-height: 1.6;
}
.center {
text-align: center;
}
img {
max-width: 100%;
height: auto;
}
.resources a {
display: block;
margin-bottom: 10px;
}
hr {
border: 0;
border-top: 1px solid #2b2d31;
margin: 20px 0;
}
pre {
background-color: #161b22;
color: #c9d1d9;
padding: 15px;
border-radius: 8px;
overflow-x: auto;
}
</style>
</head>
<body>
<div class="container">
<header>
<img src="Images/barlogo.png" alt="Bar Graph" class="logo">
<img src="Images/Data Analyst.png" alt="Data Analyst" class="logo">
<img src="Images/Pielogo.webp" alt="Pie Logo" class="logo">
<h1>Visualization Tool Activity</h1>
</header>
<section>
<h2>Data Resources 📚</h2>
<ul>
<li><a href="https://www.kaggle.com/datasets" target="_blank">Kaggle Datasets</a></li>
</ul>
<h2>Project Overview 📝</h2>
<p>This project consists of three parts, focusing on data visualization using various libraries and tools. We explore datasets from Kaggle to analyze and represent data effectively.</p>
<hr>
<h3>Part 1: Course 8 Week 1 & 2 Activity 📈</h3>
<p>In this section, we selected a dataset and created visualizations using different libraries, including Matplotlib, Seaborn, and Plotly.</p>
<h4>Approach:</h4>
<ul>
<li><strong>Dataset Selection:</strong> Describe the dataset you chose.</li>
<li><strong>Libraries Used:</strong> List the libraries you implemented and why you selected them.</li>
<li><strong>Visualizations Created:</strong> Briefly explain the types of visualizations created and the insights gathered from them.</li>
</ul>
<h4>Evaluation:</h4>
<p>Discuss whether the chosen tools were appropriate for representing and analyzing your selected dataset.</p>
<hr>
<h3>Part 2: Course 8 Week 3 Activity 📊</h3>
<p>Building upon the previous work, we focused on advanced visualizations to uncover deeper insights.</p>
<h4>Selected Visualizations:</h4>
<ul>
<li>Waffle Charts 🍰</li>
<li>Word Clouds ☁️</li>
<li>Seaborn & Regression Plots 📉</li>
<li>Geospatial Data Visualization (using Folium, maps with markers, and Choropleth maps) 🗺️</li>
</ul>
<h4>Resources:</h4>
<div class="resources">
<a href="https://medium.com/mlearning-ai/wordclouds-with-python-c287887acc8b" target="_blank">Word Clouds with Python ☁️</a>
<a href="https://www.geeksforgeeks.org/generating-word-cloud-python/" target="_blank">Generating Word Cloud ☁️</a>
<a href="https://python-charts.com/part-whole/waffle-chart-matplotlib/" target="_blank">Waffle Charts with Matplotlib 🍰</a>
<a href="https://towardsdatascience.com/how-to-create-beautiful-waffle-charts-for-data-visualisation-in-python-e9760a3f8594" target="_blank">Creating Waffle Charts 🍰</a>
</div>
<hr>
<h3>Part 3: Course 8 Week 4 Activity 📊</h3>
<p>In the final part, we implemented a simple dashboard to showcase our visualizations.</p>
<h4>Dashboard Implementation:</h4>
<ul>
<li>Describe the dashboard's layout and functionality.</li>
<li>Highlight any interactivity or features you added.</li>
</ul>
<h4>Resources:</h4>
<div class="resources">
<a href="https://medium.com/plotly/introducing-dash-5ecf7191b503" target="_blank">Introducing Dash 🚀</a>
<a href="https://medium.com/swlh/dashboards-in-python-3-advanced-examples-for-dash-beginners-and-everyone-else-b1daf4e2ec0a" target="_blank">Dashboards in Python: Advanced Examples 🖥️</a>
<a href="https://github.com/ucg8j/awesome-dash" target="_blank">Awesome Dash GitHub Repository 📦</a>
<a href="https://dash.plotly.com/" target="_blank">Dash Documentation 📚</a>
</div>
<hr>
<h2>Output 🎥</h2>
<p class="center">
<video controls width="80%">
<source src="https://github.com/user-attachments/assets/3d0c1db8-7982-4ecc-b6aa-0eb33c357466" type="video/mp4">
Your browser does not support the video tag.
</video>
</p>
</section>
</div>
</body>
</html>