March 2020
Beginner to intermediate
352 pages
8h 40m
English
Content preview from Hands-On Exploratory Data Analysis with Python
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Technical requirements
The code for this chapter can found inside the GitHub repository shared with this book inside the Chapter 3 folder. This dataset consists of email data taken from my personal Gmail account. Due to privacy issues, the dataset cannot be shared with you. However, in this chapter, we will guide you on how you can download your own emails from Gmail to perform initial data analysis.
Here are the steps to follow:
- Log in to your personal Gmail account.
- Go to the following link: https://takeout.google.com/settings/takeout.
- Deselect all the items but Gmail, as shown in the following screenshot:
- Select the archive format, ...
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.