add more instructions on how to run the codes

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# Julia for Data Analysis
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.](https://www.manning.com/).
## Setting up your environment
In order to prepare the Julia environment before working with the materials
presented in the book please perform the following setup steps:
* [download](https://julialang.org/downloads/) and
[install](https://julialang.org/downloads/platform/)
[Julia](https://julialang.org/);
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)
* make sure you can start Julia by running `julia` command in your terminal;
* download [this repository](https://github.com/bkamins/JuliaForDataAnalysis)
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);
contain the Project.toml and Manifest.toml files prepared for this book that
allow Julia to automatically set up the project environment that will allow
you to work with material presented in this book
(a more detailed 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.
Additional instructions how to manage your Julia installation are given in
Appendix A to the book.
In particular, if you use
[Visual Stuido Code](https://code.visualstudio.com/) with
[Julia extenssion](https://marketplace.visualstudio.com/items?itemName=julialang.language-julia)
then open the folder with the materials contained in this repository (you can
open it in Folder/Open Folder... menu option). Then if you run
*Start Julia REPL* command (e.g. under Windows its keyboard shortcut is Alt-J Alt-O)
a proper project environment will be automatically activated (the Julia extension
will use the Project.toml and Manifest.toml files that are present in this folder).
## Organization of the code
The codes for each chapter are stored in files named *chXX.jl*, where *XX* is
chapter number.
chapter number. The only exception is chapter 14, where additionally a separate
*ch14_server.jl* is present along with *ch14.jl* (the reason is that in this
chapter we create a web service and the *ch14_server.jl* contains the
server-side code that should be run in a separate Julia process).
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
@ -32,9 +54,12 @@ 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).
## Running the example codes
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;
containing the downloaded material (or alternatively use Visual Studio Code
to activate the appropriate project environment automatically);
* 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
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consecutive code sections this means that in the book these codes are
separated by the text of the book explaining what the code does
## Data used in the book
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

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# run this file using julia --project -t4 ch14_server.jl command
using Genie
using Statistics
using ThreadsX