July 2017
Beginner to intermediate
715 pages
17h 3m
English
Content preview from Java: Data Science Made Easy
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Exploratory Data Analysis
the previous chapter, we covered data processing, which is an important step for transforming data into a form usable for analysis. In this chapter, we take the next logical step after cleaning and look at data. This step is called Exploratory Data Analysis (EDA), and it consists of summarizing data and creating visualizations.
In this chapter, we will cover the following topics:
- Summary statistics with Apache Commons Math and Joinery
- Interactive shells for EDA in Java and JVM
By the end of this chapter, you will know how to calculate summary statistics and create simple graphs with Joinery.Â
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
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.