Data Analysis with Pandas, Seaborn & Plotly Express 2023

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Second video of the "Data Analysis with Python" video series.
This is a key skill to have for Data Analysis, Data Scientists and Data Engineers, you need to know Pandas very well to be effective.

In this series I'll work on concrete use cases. The idea is to learn by doing.
The series are targeted to intermediate/advanced users.

I hope you enjoy this series! Please subscribe and like the video to support the channel

Timeline:
0:00 Plan for today
1:11 Data Pre-processing
4:26 Preparing data for analysis
6:55 groupby + transform
9:30 Define cohort_ym & cohort_index
13:58 Retention Rate Analysis
16:00 Matrix Interpretation
17:55 Heatmap of retention rate
19:20 Plotly Express - Line chart
21:00 Code Refactoring
  1. Martin Bel
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Thank you very much, it is really a valuable lessons, while I was watching a tutorial on YouTube, it is rare like yours, your tutorial contains several great points. which are very high skill and how to apply it in the real life of data science, and a concise and skillful way to explain it to us pandas and other Data libraries in python, thanks a thousand times and more. Please keep it as you can. God please you

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