r4ds
R for data science: a book (by hadley)
RoadmapsMarkdown
A list of roadmaps created by the dev team in markdown format (by NavigoLearn)
r4ds | RoadmapsMarkdown | |
---|---|---|
165 | 3 | |
4,366 | 23 | |
- | - | |
8.4 | 9.0 | |
12 days ago | 5 months ago | |
R | ||
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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 2024-03-24.
- Ask HN: Learning Maths from the Ground Up
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Any suggestions on where I can learn R studio for an affordable cost?
https://r4ds.hadley.nz is free and very good
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Help with Understanding data loading/cleaning in R.
R for Data Science teaches you the tidyverse packages, which makes data wrangling so much easier!
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Learning R & statistics
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
- Questions as incoming PhD political science student
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First R project
The first edition of R4DS is quite old now. Check out the soon to be released second edition: https://r4ds.hadley.nz/
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Is R dead?
R for Data Science (2nd Ed), the updated guide from Hadley Wickham
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[Career] Strong Mathematics Background, Limited "Technical" Background
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.
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There’s a lot of data science books out there, any recommendations for must-reads?
I just looked and there is now a second edition! https://r4ds.hadley.nz/
RoadmapsMarkdown
Posts with mentions or reviews of RoadmapsMarkdown.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-24.
- Ask HN: Learning Maths from the Ground Up
-
Math FOR computer science roadmap: Everything you need to know
Currently, the versioning system is in development, so If you want to leave, issues or request any changes, you can do so at this github repo. I will look over them and keep the roadmaps updated. Alternatively, you can dm me to join the discord server so we can have a more direct communication channel.
-
React roadmap ( with explanations and resources, all in one place)
For those who are already well-versed in React, this resource goes beyond simple React some of these concepts may prove to be useful even to you. I'd greatly appreciate your feedback on what I should add or remove. I want all of us to contribute to this roadmap in order to make the best resource possible for others to learn. The resource I pinned above includes a discord where we can talk or you can directly create pull requests on GitHub on the resource.
What are some alternatives?
When comparing r4ds and RoadmapsMarkdown you can also consider the following projects:
swirl - :cyclone: Learn R, in R.
nanostores - A tiny (286 bytes) state manager for React/RN/Preact/Vue/Svelte with many atomic tree-shakable stores
fasteR - Fast Lane to Learning R!
tidytuesday - Official repo for the #tidytuesday project
viridis - Colorblind-Friendly Color Maps for R
lab02_R_intro - Vežbe 2: Uvod u R
R-vs.-Python-for-Data-Science
ggplot2-book - ggplot2: elegant graphics for data analysis
dplyr - dplyr: A grammar of data manipulation
PythonDataScienceHandbook - Python Data Science Handbook: full text in Jupyter Notebooks
data_to_viz - Leading to the dataviz you need
badger - Badge for R Package