- Users can explore data with various chart types and dimensions, and use PyGWalker for data analysis and visualization workflows.
- To get started, users can install PyGWalker using pip and load data into a Pandas dataframe.
- PyGWalker also offers cloud demos for users to try out.
- Additionally, the project also works on RATH , an open source auto-EDA and AI-empowered data exploration and visualization tool.
















