ggplot2-book VS r4ds

Compare ggplot2-book vs r4ds and see what are their differences.

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ggplot2-book r4ds
31 166
1,588 4,658
0.5% 0.8%
0.0 6.6
6 months ago 16 days ago
Perl R
- GNU General Public License v3.0 or later
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ggplot2-book

Posts with mentions or reviews of ggplot2-book. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-04.

r4ds

Posts with mentions or reviews of r4ds. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-06-18.
  • Visualizing Data on a Mesh with Displacement Mapping in R
    4 projects | news.ycombinator.com | 18 Jun 2024
    My personal favorite resource is "R for Data Science" by Hadley Wickham. It covers lots of nice data manipulation and visualization examples, and provides a good introduction to the tidyverse, which is a particular dialect of R that's well-suited for data analysis. It's available for free at:

    https://r4ds.hadley.nz/

    For more specialized analytical methods there are lots of textbooks out there that provide a deep dive into packages for a specific field (e.g. survival analysis, machine learning, time series), but for general data manipulation and visualization it's hard to beat R4DS.

  • Ask HN: Learning Maths from the Ground Up
    3 projects | news.ycombinator.com | 24 Mar 2024
  • Any suggestions on where I can learn R studio for an affordable cost?
    2 projects | /r/RStudio | 6 Dec 2023
    https://r4ds.hadley.nz is free and very good
  • Help with Understanding data loading/cleaning in R.
    2 projects | /r/bioinformatics | 5 Dec 2023
    R for Data Science teaches you the tidyverse packages, which makes data wrangling so much easier!
  • Learning R & statistics
    1 project | /r/Rlanguage | 11 Jul 2023
    One of the best free resources is the R4DS book by Hadley Wickham. You should make sure you start with the in progress second edition. https://r4ds.hadley.nz/
  • Trying to learn Rstudio
    1 project | /r/RStudio | 10 Jul 2023
  • Questions as incoming PhD political science student
    2 projects | /r/datascience | 7 Jul 2023
  • First R project
    1 project | /r/Rlanguage | 3 Jul 2023
    The first edition of R4DS is quite old now. Check out the soon to be released second edition: https://r4ds.hadley.nz/
  • Is R dead?
    1 project | /r/Rlanguage | 30 Jun 2023
    R for Data Science (2nd Ed), the updated guide from Hadley Wickham
  • [Career] Strong Mathematics Background, Limited "Technical" Background
    1 project | /r/statistics | 24 Jun 2023
    The big skills gap you have is in practical data exploration and transformation, which will be a large part of any data-centric role. As much as people may have distaste for it, there is no avoiding data manipulation as critical foundational enabler of all inferential and predictive modeling work. SQL is the lingua franca here and well worth picking up the basics (joins, window functions, handling dates and times, etc.), plus learning how to implement similar transformations in R and Python. With appropriately transformed data, you then need to be able to visualize it effectively using tools like Tableau or ggplot2 in R. I would not necessarily seek courses or certificates in it but expect to be evaluated on them in technical interview screenings, so self-study accordingly. R for Data Science by Hadley Wickham is a great free resource for these topics for R.

What are some alternatives?

When comparing ggplot2-book and r4ds you can also consider the following projects:

cheatsheets - Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.

swirl - :cyclone: Learn R, in R.

mech - 🦾 Mech is a programming language for building data-driven systems like robots, games, and interfaces. Start here!

lab02_R_intro - Vežbe 2: Uvod u R

forcats - 🐈🐈🐈🐈: tools for working with categorical variables (factors)

R-vs.-Python-for-Data-Science

handson-ml2 - A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

fasteR - Fast Lane to Learning R!

tidyr - Tidy Messy Data

data_to_viz - Leading to the dataviz you need

dtplyr - Data table backend for dplyr

tidytuesday - Official repo for the #tidytuesday project

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