November 2018
Intermediate to advanced
384 pages
12h 21m
English
book
Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R, First Edition
by Joel Ross, Michael Freeman
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14Accessing Web APIs
Previous chapters have described how to access data from local .csv files, as well as from local databases. While working with local data is common for many analyses, more complex shared data systems leverage web services for data access. Rather than store data on each analyst’s computer, data is stored on a remote server (i.e., a central computer somewhere on the internet) and accessed similarly to how you access information on the web (via a URL). This allows scripts to always work with the latest data available when performing analysis of data that may be changing rapidly, such as social media data.
In this chapter, you will learn how to use R to programmatically interact with data stored by web services. From an R script, ...
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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.