November 2018
Beginner to intermediate
420 pages
10h 4m
English
book
Hands-On Data Science with R
by Doug Ortiz, Vitor Bianchi Lanzetta, Nataraj Dasgupta, Ricardo Anjoleto Farias
Content preview from Hands-On Data Science with R
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Data types, formats, and sources
The three categorical characteristics of data are as follows:
- Data types: Data type generally refers to the type of the data in the respective column. R supports character, numeric (real or decimal), integer, logical, and complex numbers. When reading data in from CSV files, R automatically tries to determine the type of data in each column of the file. This might not always work as desired. For instance, a column with the prices of products may have a sign or text indicating the name of the currency (for example, USD/$ and GBP/£). Columns with text data may have unicode characters (for instance, Cyrillic or Greek) with accent marks. Reading data from an external structured data source such as a database ...
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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.