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The project aims to get the top 10 senders with the highest volume of emails, create a Word Cloud that generates the most used words in subjects, and measure that volume per year, month, day and hour.

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Sandreke/Gmail-Data-Analysis-with-Python-and-PowerBI

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Gmail-Data-Analysis-with-Python-and-PowerBI

🧑‍💻 Step-by-step tutorial: YouTube tutorial

The project consists of web scraping, cleaning and transforming the email data from my personal Gmail account with Python. Besides, visualizations are added using Power BI in order to identify the top 10 senders with the highest volume of emails, create a Word Cloud that generates the most used words in subjects, and measure that volume per year, month, day and hour.

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The project aims to get the top 10 senders with the highest volume of emails, create a Word Cloud that generates the most used words in subjects, and measure that volume per year, month, day and hour.

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