How to Build Advanced, Interactive Data Analysis for Workflow Analysis Using PyGWalker and Feature-Engineered Data
In this tutorial, we show how to go beyond static, code-heavy charts and build a data analysis workflow that you use directly. PyGWalker. We start by preparing the Titanic data set for the big interactive questions. These analytics-ready features reveal the underlying structure of the data while enabling both detailed row-level exploration and high-level aggregated … Read more