Customer Data Visualizations using Python Pandas and Graphing Libraries
This blog post covers how to make data visualizations using python’s panda data analysis library and the matplotlib/seaborn charting libraries. Below you will find the code used to wrangle the data and create the charts. If you want to learn more about customer analytics for a fictitious B2B SaaS company, then read on…
You can access the entire notebook via its jupyter nbviewer page or by going to the GitHub link:
Note: much of the code in this blog was adapted from other excellent blogs and the stackoverflow community.
Greg Reda Blog: http://gregreda.com/2015/08/23/cohort-analysis-with-python/
Assembling Analytics: https://assemblinganalytics.com/post/cohort-analysis-python/