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You're reading from  Julia Cookbook

Product typeBook
Published inSep 2016
Reading LevelBeginner
Publisher
ISBN-139781785882012
Edition1st Edition
Languages
Julia
Concepts
Data Science
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Authors (2):
Raj R Jalem
Raj R Jalem
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Raj R Jalem


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Jalem Raj Rohit
Jalem Raj Rohit
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Jalem Raj Rohit

Jalem Raj Rohit is an IIT Jodhpur graduate with a keen interest in recommender systems, machine learning, and serverless and distributed systems. Raj currently works as a senior consultantdata scienceand NLP at Episource, before which he worked at Zomato and Kayako. He contributes to open source projects in Python, Go, and Julia. He also speaks at tech conferences about serverless engineering and machine learning.
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Histograms

Histograms are one of the best ways for visualizing and finding out the three main statistics of a dataset: the mean, median, and mode. Histograms also help analysts get a very clear understanding of the distribution of data. The ability to plot categorical data as well as numerical data is what makes the histogram unique.

Getting ready

We will use the Gadfly library, which we used for understanding and plotting data in the preceding recipes. So, to install the library, you can follow the installation steps mentioned in the previous recipes.

How to do it...

  1. A basic histogram is a simple set of stacked bars, which shows the distribution of a particular feature in a dataset. This can be plotted using the plot() function, with the Geom.histogram attribute as the aesthetic parameter. We will use the diamonds dataset for the purpose. This can be done as follows:

    plot(dataset("ggplot2", "diamonds"), x = "Price", Geom.histogram)

  2. As with earlier plots, color aesthetics can be used to differentiate...

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Julia Cookbook
Published in: Sep 2016Publisher: ISBN-13: 9781785882012
© 2016 Packt Publishing Limited All Rights Reserved

Authors (2)

author image
Raj R Jalem


Read more about Raj R Jalem

author image
Jalem Raj Rohit

Jalem Raj Rohit is an IIT Jodhpur graduate with a keen interest in recommender systems, machine learning, and serverless and distributed systems. Raj currently works as a senior consultantdata scienceand NLP at Episource, before which he worked at Zomato and Kayako. He contributes to open source projects in Python, Go, and Julia. He also speaks at tech conferences about serverless engineering and machine learning.
Read more about Jalem Raj Rohit

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