Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Practical Business Intelligence

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

Arrow left icon
Product type Paperback
Published in Dec 2016
Publisher Packt
ISBN-13 9781785885433
Length 352 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Ahmed Sherif Ahmed Sherif
Author Profile Icon Ahmed Sherif
Ahmed Sherif
Arrow right icon
View More author details
Toc

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

Combining a histogram with a normal distribution plot


We now have a histogram and a normal distribution plot individually, but it would be nice if we could visualize both them on one graph with the same scales. This can easily be done by referencing both plots in a single cell and then using the plt.show() function just once after both plots have been called:

plt.hist(VacationHours, normed = True) # plotting histogram 
plt.plot(VacationHours, normal_distribution_curve, color = "orange") #plotting normal curve 
plt.title("Vacation Hours") #Assign title 
plt.xlabel("Hours") #Assign x label 
plt.ylabel("Count") #Assign y label 
plt.show() 

The output of the combined plots can be seen in the following screenshot:

We now have a combined normal distribution plot and histogram for us to see the distribution of VacationHours across different job titles for AdventureWorks.

Annotating in Python

One of the nice features with matplotlib is the ability to annotate graphs to help guide users to areas of...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image