March 2017
Beginner to intermediate
868 pages
18h 52m
English
book
D3.js: Cutting-edge Data Visualization
by Ændrew H. Rininsland, Michael Heydt, Pablo Navarro Castillo
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Summary
In this chapter, you learned how to load data from the web and use it as the basis for a bar graph. We started with loading data in the JSON, CSV, and TSV formats. You learned how to use the .map() function to extract just the values that you desire from this data, and examined the issues and solutions needed for converting string values into numeric values.
Next we covered scales in some more detail, and looked at several examples of the ways to use scales for mapping data from one range of values to another as well as to map discrete values such as color names to color codes. We covered categorical scales, a means of mapping integer values into predefined color maps, and a concept that we will use frequently in our examples. Our examination ...
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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.