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
Content preview from D3.js: Cutting-edge Data VisualizationBecome 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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Using the histogram layout
We are going to use the
histogram layout to create a bar chart of the number of donations received. The layout itself will handle everything from collecting values in bins to calculating heights, widths, and positions of the bars.
Histograms usually represent a probability distribution over a continuous numerical domain, but the names of donation recipients are ordinal. To bend the histogram layout to our will, we will have to turn names into numbers—we'll use a scale.
Since it feels like this could be useful in other examples, we'll put the code in helpers.js:
export function uniques(data, name) { let uniques = []; data.forEach((d) => { if (uniques.indexOf(name(d)) < 0) { uniques.push(name(d)); } }); return uniques; } ...Become 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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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.
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