Visualization Tool Activity

Data Resources 📚

• Kaggle Datasets

Project Overview 📝

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.

Part 1: Course 8 Week 1 & 2 Activity 📈

In this section, we selected a dataset and created visualizations using different libraries, including Matplotlib, Seaborn, and Plotly.

Approach:

• Dataset Selection: Describe the dataset you chose.
• Libraries Used: List the libraries you implemented and why you selected them.
• Visualizations Created: Briefly explain the types of visualizations created and the insights gathered from them.

Evaluation:

Discuss whether the chosen tools were appropriate for representing and analyzing your selected dataset.

Part 2: Course 8 Week 3 Activity 📊

Building upon the previous work, we focused on advanced visualizations to uncover deeper insights.

Selected Visualizations:

• Waffle Charts 🍰
• Word Clouds ☁️
• Seaborn & Regression Plots 📉
• Geospatial Data Visualization (using Folium, maps with markers, and Choropleth maps) 🗺️

Resources:

Part 3: Course 8 Week 4 Activity 📊

In the final part, we implemented a simple dashboard to showcase our visualizations.

Dashboard Implementation:

• Describe the dashboard's layout and functionality.
• Highlight any interactivity or features you added.

Resources:

Output 🎥