This project demonstrates how to use Pygwalker to explore data interactively.
Pygwalker is a Python library that allows you to visualize and explore data in a simple, interactive way. It works with pandas DataFrames and lets you create charts and analyze data directly in Jupyter Notebooks or Python scripts.
Install Pygwalker with:
pip install pygwalker
1 Place your data in a CSV file (e.g., data.csv).
2 Open demo.ipynb and run the code to load and explore the data.
3 In the interactive interface, select columns to visualize relationships and patterns in your data.
