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index.Rmd
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---
title: "Big Book of R"
author: "Oscar Baruffa"
date: "`r format(Sys.time(), '%d %B, %Y')`"
output:
bookdown::gitbook:
includes:
in_header: [plausible-analytics.html, social.html]
config:
edit: https://github.com/oscarbaruffa/BigBookofR/edit/main/%s
toc:
before: |
<br/><center><b><a href="./index.html">  Big Book of R</a></b></center></li>
after: |
<li><center><a href="https://bookdown.org/yihui/bookdown/">
Published with bookdown</a></center></li>
site: bookdown::bookdown_site
---
# Welcome :)
## Your last-ever bookmark
Thanks for stopping by. If you're like me, you can't help but bookmark every R-related programming book you find in the hopes that one day you, or someone you know, might find it useful.
Hopefully this is the only bookmark you'll need in future ;).
When I initially released this collection in late August 2020, it contained about 100 books that I'd been collecting over the previous two years. Since then I've found a few more and there have been contributions from many people. The collection now stands at about 150 books.
Most of these are free. Some are paid but usually quite affordable.
## Searching
If there's something specific you're looking for, use the menu or search using the magnifying glass icon at the top of the screen.
## Contributing
Please feel free to contribute paid and free books - see [GitHub.](https://github.com/oscarbaruffa/BigBookofR)
## Contributors
If you've contributed, add your name and Twitter / blog link below!
[Oscar Baruffa](https://twitter.com/OscarBaruffa), Mohit Sharma, [Vebash Naidoo](https://twitter.com/Sciencificity), [Julia Silge](https://twitter.com/juliasilge), [Erik Gahner Larsen](https://twitter.com/erikgahner), [Nicole Radziwill](https://radziwill.cc), [Nistara Randhawa](https://twitter.com/nistara_r), [Antoine Fabri](https://twitter.com/antoine_fabri), [Jon Calder](https://twitter.com/jonmcalder), [Mike Smith](https://twitter.com/grimbough), [Ben Bolker](https://github.com/bbolker), [Maëlle Salmon](https://twitter.com/ma_salmon), [Laura Ellis](https://twitter.com/LittleMissData), [Bryan Shalloway](https://twitter.com/brshallo), [Antonio Uzal](https://twitter.com/antonio_uzal), [Louis Aslett](http://www.louisaslett.com/), [Lluís Revilla Sancho](https://llrs.dev), [Brendan Cullen](https://twitter.com/_bcullen), [Rami Krispin](https://twitter.com/Rami_Krispin), [Michael Dorman](https://twitter.com/MichaelDorman84), [Ezekiel Adebayo Ogundepo](https://twitter.com/gbganalyst),
[Shamsuddeen Hassan Muhammad](https://twitter.com/Shmuhammadd), [Eric Leung](https://twitter.com/erictleung), [Isabella Velásquez](https://twitter.com/ivelasq3), [Matt Roumaya](https://www.mattroumaya.com/), [Legana Fingerhut](https://twitter.com/LeganaFingerhut)
## Licence
This website/book is free to use, and is licensed under the [Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License](https://creativecommons.org/licenses/by-nc-nd/3.0/us/){target="blank}.
## Live stats
Who says you can't have privacy AND transparency??
I'm guessing that if you're interested in R then you also like data ;).
I initially used Google Analytics for this site but as I'm keen to enhance user privacy I switched to [Plausible Analytics](https://plausible.io/bigbookofr.com) from 30 December 2020 onward.
You can view the old Google Analytics [summary report PDF here](https://www.bigbookofr.com/files/Analytics All Web Site Data Audience Overview 20200825-20201229.pdf). TLDR 22k unique visitors and 33k sessions between August 2020 and December 2020 :D!!
Note that "unique" visits will be higher in Plausible than you'd find with Google Analytics. Because Plausible is GDPR compliant and privacy focused, each user is identified for only 1 day. If someone visits the site 2 days in a row, that's counted as 2 "uniques" whereas in Google Analytics it would only be counted as 1 unique visitor because of the presence of persistent cookies and such that allows for tracking of users.
From now on, you can view the **[LIVE site stats right here](https://plausible.io/bigbookofr.com?ref=BigBoofofR)**.
## About me
I'm Oscar. Fairly new to R and loving it. If you like this book, feel free to say "Hi!" on [Twitter](https://twitter.com/OscarBaruffa).
If you want to stay in the loop on other data-related products I create, or major updates to this book, sign up to my [newsletter](https://oscarbaruffa.com/newsletter/).