Data Analyst Python Project Demo | Customer Retention Analysis | Pandas & Plotly

Published: 19 October 2022
on channel: Alex Sington

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Data set for this project available on Git Hub: https://github.com/alexsington/Data-Sets

Contact me:
[email protected]
/ alex-sington-b7751a181

Add to your data analytics portfolio with complete project demo in Python. This project cleans, analyzes, merges, manipulates, and visualizes data sets to compare customer retention curves for two different types of customers. I use Pandas for create my final DataFrame and Plotly to create an interactive and shareable graph.

Project intro: 0:00
Importing, cleaning, & exploring data: 2:01
Data manipulation begins: 16:17
Creating order bins: 27:30
Data aggregation (group by): 35:45
Unpivoting (melting): 38:05
Calculating percentages: 41:00
Visualizing the data (retention curve): 51:35
Changing the baseline: 1:11:12
Downloading the graph as HTML file: 1:14:28