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Practical Business Intelligence

You're reading from  Practical Business Intelligence

Product type Book
Published in Dec 2016
Publisher Packt
ISBN-13 9781785885433
Pages 352 pages
Edition 1st Edition
Languages

Table of Contents (16) Chapters

Practical Business Intelligence
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Introduction to Practical Business Intelligence 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 6.  Creating Histograms and Normal Distribution Plots with Python

Python is a general-purpose programming language that was created in the late 1980s. So, while it has been around for quite a while, it has experienced a popularity surge of late, especially within the data science and data visualization communities. In fact, in a 2016 study performed by CodeEval found that Python was the most popular coding language, as seen in the following screenshot:

The full evaluation of all the coding languages, as well as the methodology for ranking the study used, can be found at the following website: http://blog.codeeval.com/codeevalblog/2016/2/2/most-popular-coding-languages-of-2016.

Python has a strong and passionate community of developers, and much of their innovation within the Python ecosystem has allowed it to branch out into other fields, such as business intelligence.

The greatest gap that has been filled between traditional Python programming and business intelligence...

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