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You're reading from  Jupyter Cookbook

Product typeBook
Published inApr 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781788839440
Edition1st Edition
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Dan Toomey
Dan Toomey
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Dan Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.
Read more about Dan Toomey

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Producing a bar chart using R


There are several bar chart tools available from R. We will use the barplot function in this example.

How to do it...

We can use this script:

# we are using the haireyecolor data from the MASS library
library(MASS)
summary(HairEyeColor)

Excellent p-value, so we should have good data to work with!

# display the data
HairEyeColor

I hadn't thought about sex being a determinant. We will combine all of the data into one set:

# build a table of the information
counts <- table(HairEyeColor)
# produce the bar chart
barplot(counts)

That produces this result:

Interesting, that there are many cases with high coincidence (the 34s, 50s, and 64s) and there are many with low numbers (most under 10).

How it works...

We are displaying the relationship, if any, between eye color and hair color. The data is organized in that fashion already.

The barplot function takes the R table and maps out the appropriate bar chart.

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Jupyter Cookbook
Published in: Apr 2018Publisher: PacktISBN-13: 9781788839440

Author (1)

author image
Dan Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.
Read more about Dan Toomey