Introducing pandas_profiling (lightning talk)

5 minute introduction to EDA with pandas_profiling: https://github.com/pandas-profiling/pandas-profiling

Transcript

1. pandas_profiling lighting talk
   PyDataLondon 2018-04
   Ian Ozsvald @IanOzsvald ModelInsight.io
   

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2. Ian.Ozsvald@ModelInsight.io @IanOzsvald[.com]
   PyDataLondon 2018-04
   Why not df.describe() & df.info()?
   

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3. Ian.Ozsvald@ModelInsight.io @IanOzsvald[.com]
   PyDataLondon 2018-04
   pandas_profiling
   

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4. Ian.Ozsvald@ModelInsight.io @IanOzsvald[.com]
   PyDataLondon 2018-04
   pandas_profiling
   

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5. Ian.Ozsvald@ModelInsight.io @IanOzsvald[.com]
   PyDataLondon 2018-04
   pandas_profiling
   Pclass vs Fare
   and Age
   (negative
   relationship)
   is_female vs
   Survived
   (positive
   relationship)
   

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6. Ian.Ozsvald@ModelInsight.io @IanOzsvald[.com]
   PyDataLondon 2018-04
   Wrap-up
   ●
   Several PRs needing a review – get
   involved?
   ●
   Additions for categoricals and correlations
   ●
   Author is fairly responsive, it looks like a
   nice first project to get involved with
   

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