November 2016
Beginner to intermediate
232 pages
7h 21m
English
Content preview from Visualizing Graph DataBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 8. Big data: using graphs when there’s too much data
This chapter covers
- The limits of graph visualization, both web and desktop
- Abstracting individual data endpoints
- Filtering the chart by type or other metrics
- Grouping nodes and links
In chapter 6, we talked about data volumes and explained how it’s not always realistic to draw a chart showing every data endpoint in your data set on the screen at once. This is important to keep in mind when working with large data sets, and some of the techniques we discussed in that chapter, such as allowing the user to navigate the chart, can be useful when working with thousands or even tens of thousands of nodes. One of my company’s clients is a credit card–processing company that handles ...
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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.