Personal project to use ydata_profiling package. I got the same key insight from the same dataset with less time and effort.
Key Insight from this EDA: Customer "Exited" had highest correlation with "Complain" See jpg file for screenshot
Key Insight from yt channel: Same as the Tableau insight used in Mo Chen's YouTube channel.
Benefit: Using this package frees up time for the company and for analysts, and time savings can be allocated to deeper analysis in the future.
Advantage vs. yt method (Tableau): Creating EDA histograms and correlations from libraries, one by one, will involve more time and effort. Tableau is more impressive as a talking point when communicating this main idea to stakeholders and has more interactive features that will allow stakeholders to slice the data further.
Data source: Data are from customer churn data shared by Data With Mo in youtube. csv file
Check out the output.html file or the print-out pdf file here in this repository.