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Learn D3.js

You're reading from   Learn D3.js Create interactive data-driven visualizations for the web with the D3.js library

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781838645571
Length 650 pages
Edition 1st Edition
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Author (1):
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Helder da Rocha Helder da Rocha
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Helder da Rocha
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Table of Contents (13) Chapters Close

Preface 1. Introduction FREE CHAPTER 2. Technical Fundamentals 3. Quick Start 4. Data Binding 5. Manipulating Data and Formatting 6. Scales, Axes, and Colors 7. Shape and Layout Generators 8. Animation and Interactivity 9. Visualizing Hierarchical Data 10. Visualizing Flows and Networks 11. Visualizing Geographical Data 12. Other Books You May Enjoy

Histograms

Histograms are bar charts that are used to visualize distributions of numerical data. You can create a histogram if you have a dataset consisting of discrete samples of data in bins, or buckets, representing data intervals. The number of items in each bin represents the frequency, and is used for the bar height. The bar width is a fraction of the number of intervals.

The following diagram contains 26 buckets, each one representing a letter of the English alphabet. The height of each bar represents the frequency of each letter in a sample of 26 million characters from the top 50 books published by Project Gutemberg in September 2018:

A diagram showing the relative frequency of the letters in the English language. Code: Examples/1-letter-histogram.html

The d3-array module also includes the d3.histogram() function, which is a histogram data generator. Calling this function...

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