June 2020
Intermediate to advanced
322 pages
7h 25m
English
Content preview from Practical Data Analysis Using Jupyter Notebook
Section 2: Solutions for Data Discovery
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In this section, we'll learn how to visualize data for analysis by working with time series data. Then, we'll learn how to clean and join multiple datasets together using both SQL and DataFrames with Python. After that, we'll go back to data visualization and learn about the best practices when it comes to data storytelling.By the end of this section, you will understand the foundations of descriptive analytics.
This section includes the following chapters:
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.