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PyGWalker for Exploratory Data Analysis In Jupyter Notebooks

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Andy McDonald

PyGWalker (Python binding of Graphic Walker) is a python library that can help speed up the data analysis and visualisation workflow directly within a Jupyter notebook. It leverages the power of interactivity by providing an interface similar to the popular data analytics software called Tableau.

This video will explore some of the features of PyGWalker using one of my favourite well log data sets from the Xeek Force 2020 Machine Learning Competition.

Check out the library here:
https://github.com/Kanaries/pygwalker

At the time of creating this video, the version of PygWalker is 0.1.4.6, and some of the features illustrated may have been updated since this version.

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PYTHON FOR DATA ANALYSIS: Data Wrangling with Pandas, NumPy, and IPython
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FUNDAMENTALS OF PETROPHYSICS
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WELL LOGGING FOR EARTH SCIENTISTS
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GEOLOGICAL INTERPRETATION OF WELL LOGS
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