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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

Publishing Jupyter Notebook


Before we share our Notebook with our friends, it might be a good idea to personalize it a bit and add some finishing touches to the look. The first thing that we can do is scroll to the top of the page and click on the first cell. Initially, we had a simple print() statement producing Histogram Example, as seen in the following screenshot:

Rather than have a Python script printing out a title for our project, we can use the Markdown function in the cell to display a formatted heading, as seen in the following screenshot:

When the Markdown is selected, we are given options for the size of the heading, as seen in the following screenshot:

So, we've set our title as #Vacation Hours Distribution with a level 1 heading. Now, we just need to execute the cell for the Markdown to apply the appropriate formatting, as seen in the following screenshot:

We can also add an additional two rows in the cell below the title to indicate the developer and date of the project...

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