c3plot
r4ds
c3plot | r4ds | |
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1 | 165 | |
0 | 4,366 | |
- | - | |
4.6 | 8.4 | |
11 months ago | 12 days ago | |
R | R | |
- | GNU General Public License v3.0 or later |
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c3plot
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Any Idea For A R Package
I hope this helps. If you want to see an example of how this fits together, you could check out the code for my c3plot package which wraps C3..JS (which is itself a D3 wrapper).
r4ds
- 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/
What are some alternatives?
R-Fundamentals - D-Lab's 4 part, 8 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations, use control flow structures, and more, using R in RStudio.
swirl - :cyclone: Learn R, in R.
wesanderson - A Wes Anderson color palette for R
fasteR - Fast Lane to Learning R!
awesome-R - A curated list of awesome R packages, frameworks and software.
tidytuesday - Official repo for the #tidytuesday project
DataScienceR - a curated list of R tutorials for Data Science, NLP and Machine Learning
viridis - Colorblind-Friendly Color Maps for R
engsoccerdata - English and European soccer results 1871-2022
lab02_R_intro - Vežbe 2: Uvod u R
R-vs.-Python-for-Data-Science
ggplot2-book - ggplot2: elegant graphics for data analysis