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Julia 1.0 Programming Cookbook

You're reading from  Julia 1.0 Programming Cookbook

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781788998369
Pages 460 pages
Edition 1st Edition
Languages
Authors (2):
Bogumił Kamiński Bogumił Kamiński
Profile icon Bogumił Kamiński
Przemysław Szufel Przemysław Szufel
Profile icon Przemysław Szufel
View More author details
Toc

Table of Contents (18) Chapters close

Title Page
Copyright and Credits
Dedication
About Packt
Contributors
Preface
1. Installing and Setting Up Julia 2. Data Structures and Algorithms 3. Data Engineering in Julia 4. Numerical Computing with Julia 5. Variables, Types, and Functions 6. Metaprogramming and Advanced Typing 7. Handling Analytical Data 8. Julia Workflow 9. Data Science 10. Distributed Computing 1. Other Books You May Enjoy Index

Working with categorical data


In Julia, the type of data often carries important information about how the information stored should be interpreted. However, in some cases, working with categorical data can be tricky. In this recipe, we explain how you can refer to an order defined in a categorical vector to filter its contents.

Getting ready

Start the Julia command line. Make sure that you have the DataFrames.jl package installed. If it is missing, then install it by running the commands using Pkg; Pkg.add("DataFrames") in the Julia command line.

Note

In the GitHub repository for this recipe, you will find the commands.txt file, which contains the presented sequence of shell and Julia commands.

Now, open your favorite terminal to execute the commands.

How to do it...

In this recipe, we create a simple data frame containing categorical data, which we will later filter. Here is a list of steps to be followed:

  1. Firstly, load the DataFrames.jl package and define a vector of possible grades from FtoA...
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