Progress Log 78 (Python): Choosing a chart for your Project, Univariate and Bivariate Data, Project – Investigate a Dataset

I’m taking a nanodegree course entitled “Data Analysis” by Udacity and all of the concepts described below come from that course.

 

Choosing a chart for your project

 

 

 

 

Project

 

 

Notes

  • # Remove rows with zero values.
    df = df[(df != 0).all(1)]
  • # List of data to show genre popularity ranking without a function (cf. groupby)
    genre_data.sort_values('popularity', ascending=False).popularity

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