November 2018
Beginner to intermediate
568 pages
15h 59m
English
Content preview from Data Science, 2nd Edition
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Chapter 3
Data Exploration
Abstract
Data exploration, also known as exploratory data analysis, provides a set of simple tools to achieve a basic understanding of a dataset. The results of data exploration can be extremely useful in grasping the structure of the data, the distribution of the values, presence of extreme values, and interrelationships within the dataset. Descriptive statistics is the process of condensing key characteristics of the dataset into simple numeric metrics. Some of the common metrics used are mean, standard deviation, and correlation. Visualization is the process of projecting the data, or parts of it, into Cartesian space or into abstract images. In the data science process, data exploration is leveraged in many different ...
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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.
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.