“Free” Web Textbooks for Data Analysis and Data Visualization Learners
Here’s a list of “free” web textbooks I have appreciated from the get-go and to further work on my data projects. Quality assured by me.😤 If you are a broke student like me but eager to learn, this list is perfect for YOU! (…and no worries, rich kids can learn from these books too. 😉😂)
Data Visualization
- Fundamentals of Data Visualization by Claus O. Wilke
- ggplot2: Elegant Graphics for Data Analysis by Hadley Wickham, Danielle Navarro, and Thomas Lin Pedersen
- Spatial Data Science with applications in R by Edzer Pebesma, Roger Bivand
- Interactive web-based data visualization with R, plotly, and shiny by Carson Sievert *last updated on 2019-12-19 but you learn basics!
- Data Points: Visualization That Means Something by Nathan Yau *PDF available somewhere on the internet (@ me)
- Python Data Science Handbook - Chapter 4 by Jake VanderPlas *Matplotlib, Seaborn
- Storytelling With Data: A Data Visualization Guide for Business Professionals by Cole Knaflic *PDF available somewhere on the internet (@ me)
R
- What They Forgot to Teach You About R by Jennifer Bryan, Jim Hester
- ggplot2: Elegant Graphics for Data Analysis by Hadley Wickham, Danielle Navarro, and Thomas Lin Pedersen *say no more, fam
- Spatial Data Science with applications in R by Edzer Pebesma, Roger Bivand
- R Markdown Cookbook by Yihui Xie, Christophe Dervieux, Emily Riederer
- R Markdown: The Definitive Guide by Yihui Xie, J. J. Allaire, Garrett Grolemund *includes guide on flexdashboard
- RMarkdown for Scientists by Nicholas Tierney *updated 2020-09-09
- Interactive web-based data visualization with R, plotly, and shiny by Carson Sievert *last updated on 2019-12-19 but you learn basics!
- Mastering Shiny by Hadley Wickham *must read for all Shiny developers
- JavaScript for R by John Coene
- Practical Statistics for Data Scientists 50+ Essential Concepts Using R and Python by Peter Bruce, Andrew Bruce, and Peter Gedeck *link downloads PDF from ReserachGate
- Introduction to Econometrics with R by Christoph Hanck, Martin Arnold, Alexander Gerber, and Martin Schmelzer
Statistical Analysis
- Statistics Done Wrong The woefully complete guide by Alex Reinhart
- Practical Statistics for Data Scientists 50+ Essential Concepts Using R and Python by Peter Bruce, Andrew Bruce, and Peter Gedeck *link downloads PDF from ReserachGate
- Introduction to Econometrics with R by Christoph Hanck, Martin Arnold, Alexander Gerber, and Martin Schmelzer
- Head First Data Analysis by Michael Milton
JavaScript
- Interactive Data Visualization for the Web by Scott Murray *d3. PDF available somewhere on the internet (@ me)
- JavaScript for R by John Coene
- Eloquent JavaScript 3rd edition (2018) by Marijn Haverbeke
Python
- Automate the Boring Stuff with Python by Al Sweigart
- Python Data Science Handbook by Jake VanderPlas *covers ML. ch4 for visualization
- Practical Statistics for Data Scientists 50+ Essential Concepts Using R and Python by Peter Bruce, Andrew Bruce, and Peter Gedeck *link downloads PDF from ReserachGate
GIS
- Spatial Data Science with applications in R by Edzer Pebesma, Roger Bivand
HTML/CSS
- HTML & CSS IS HARD (BUT IT DOESN’T HAVE TO BE) by Oliver James
- Learn CSS Layout by Greg Smith, Isaac Durazo
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