March 2020
Beginner to intermediate
352 pages
8h 40m
English
Content preview from Hands-On Exploratory Data Analysis with Python
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Data analysis
This is the most important part of EDA. This is the part where we gain insights from the data that we have.
Let's answer the following questions one by one:
- How many emails did I send during a given timeframe?
- At what times of the day do I send and receive emails with Gmail?
- What is the average number of emails per day?
- What is the average number of emails per hour?
- Whom do I communicate with most frequently?
- What are the most active emailing days?
- What am I mostly emailing about?
In the following sections, we will answer the preceding questions.
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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.