Data-Visualization-Fundamentals

This repository transforms our previous Data Visualization lesson from a Google Colab Notebook into an interactive Streamlit Web Application.

🔗 Project Link

This project is hosted via Streamlit:
https://zeraphim-data-visualization-fundamentals-main-wct4it.streamlit.app/

📖 Project Overview

This Streamlit web application is designed to showcase various data visualization techniques using dummy data. The app demonstrates the following chart types:

1. Bar Chart
2. Line Chart
3. Pie Chart
4. Scatter Plot
5. Histogram
6. Heatmap
7. Box Plot
8. Area Chart
9. Bubble Charts
10. Treemap
11. Violin Plot
12. Word Cloud
13. 3D Surface Plot
14. Network Graph
15. Sankey Diagram

Additionally, the application includes an analysis on the Titanic dataset from Kaggle. This section covers:

• Displaying a DataFrame
• Displaying relevant information in a DataFrame and specific column/s
• Visualization of Key Insights