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This repository contains source codes for the “Julia for Data Analysis” book that is written by Bogumił Kamiński and is planned to be published in 2022 by Manning Publications Co..
In order to prepare the Julia environment before working with the
materials presented in the book please perform the following setup
steps: * download and install Julia; all the codes were tested under
Julia 1.7; * make sure you can start Julia by running julia
command in your system shell (alternative ways to use Julia are
described in Appendix A to the book) * download this
repository to a local folder on your computer; * start Julia in a
folder containing the downloaded material using the command
julia --project; the folder must contain the Project.toml
and Manifest.toml files prepared for this book (an explanation what
these files do and why they are required is given in Appendix A to the
book); * press ], write instantiate and press
Enter (this process will ensure that Julia properly configures
the working environment for working with the codes from the book); *
press Backspace, write exit() and press
Enter; now you should exit Julia and everything is set up to
work with the materials presented in the book.
The codes for each chapter are stored in files named chXX.jl, where XX is chapter number.
Solutions to the exercises that are presented in appendix B in the book are stored in appB.jl file. These solutions assume that they are executed in the same Julia session as the codes from the chapter where the question was posted (so that appropriate variables and functions are defined and appropriate packages are loaded).
To work with codes from some given chapter: * start a fresh Julia
session using the julia --project command in a folder
containing the downloaded material; * execute the commands sequentially
as they appear in the file; the codes were prepared in a way that you do
not need to restart Julia when working with material from a single
chapter, unless it is explicitly written in the instructions to restart
Julia (some of the codes require this); * before each code there is a
comment allowing you to locate the relevant part of the book where it is
used; if in the code there is a blank line between consecutive code
sections this means that in the book these codes are separated by the
text of the book explaining what the code does
For your convenience I additionally stored data files that we use in this book. They are respectively: * movies.dat (for chapter 6, shared on GitHub repository https://github.com/sidooms/MovieTweetings under MIT license) * puzzles.csv.bz2 (for chapter 8, available puzzles at https://database.lichess.org/. The data is distributed under Creative Commons CC0 license) * git_web_ml.zip (for chapter 12, available on Stanford Large Network Dataset Collection website https://snap.stanford.edu/data/github-social.html under GPL-3.0 License) * owensboro.zip (for chapter 13, available at The Stanford Open Policing Project under the Open Data Commons Attribution License)