Turn Your Dataframe into a Drag and Drop Chart Tool

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You have a dataframe loaded in Python and you want to explore it visually. But writing plotting code for every chart takes time and slows you down. PyGWalker is an open source Python library that turns your dataframe into a drag and drop chart interface. You can explore data without writing code. It works inside Jupyter notebooks and web apps. You just call pyg.walk with your dataframe and a Tableau style panel appears for interactive analysis. You can drag fields to build bar charts, line charts, and more. The tool has over fifteen thousand stars on GitHub and is used by many data analysts. So, would you use PyGWalker to explore your next dataset without writing chart code?

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