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Practical Business Intelligence

You're reading from   Practical Business Intelligence Optimize Business Intelligence for Efficient Data Analysis

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Product type Paperback
Published in Dec 2016
Publisher Packt
ISBN-13 9781785885433
Length 352 pages
Edition 1st Edition
Languages
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Author (1):
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Ahmed Sherif Ahmed Sherif
Author Profile Icon Ahmed Sherif
Ahmed Sherif
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Table of Contents (16) Chapters Close

Practical Business Intelligence
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Introduction to Practical Business Intelligence FREE CHAPTER 2. Web Scraping 3. Analysis with Excel and Creating Interactive Maps and Charts with Power BI 4. Creating Bar Charts with D3.js 5. Forecasting with R 6. Creating Histograms and Normal Distribution Plots with Python 7. Creating a Sales Dashboard with Tableau 8. Creating an Inventory Dashboard with QlikSense 9. Data Analysis with Microsoft SQL Server

Chapter 4.  Creating Bar Charts with D3.js

D3.js, or D3, stands for Data-Driven Documents. The most common method of data connectivity to D3 involves Comma-Separated Values (CSV). D3 uses JavaScript functions to leverage documents such as SVG (Scalable Vector Graphs) elements and HTML to render visualizations to a web browser. In addition to HTML, CSS is used to further style web pages with different colors, fonts, and sizes.

Mike Bostock is credited with being the developer of D3. He worked for the NYTimes and in 2011 he developed D3 to help leverage advanced visualizations that were not readily available in existing enterprise tools. Since that time D3 has become available to developers and some of the most amazing visualizations have been developed with D3.

Note

To learn more about Mike Bostock and D3, visit the following website: https://bost.ocks.org/mike/.

D3.js, or D3, may not seem like a traditional option for a business intelligence solution at first glance. This may be due to...

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