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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

Creating visualizations with Power BI


Once the data is loaded into Power BI, we can preview the results by clicking on the Data icon, below the Report icon, as seen in the following screenshot:

This gives us an opportunity to format the data in a way that will be most suitable to us for building a map chart. While selecting the Postal Code column header in the Modeling tab, we can change the format type from Uncategorized to Postal Code, as seen in this screenshot:

This modification ensures that the Postal Code column will be treated as a location identifier within the map. Once that is complete, return to the report mode, which is above the data model, and select the Number of Employees and Postal Code fields from your query, as shown in the following screenshot:

A map is automatically generated with green circles highlighting the volume of employees by postal code.

The next step is to add a new bar chart to the right of the map with the city name as well as the employee count. In order...

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