Frustration-One-Year-With-R
ggplot2
Frustration-One-Year-With-R | ggplot2 | |
---|---|---|
16 | 62 | |
621 | 6,337 | |
- | 0.7% | |
2.9 | 9.4 | |
10 months ago | 3 days ago | |
R | ||
- | GNU General Public License v3.0 or later |
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Frustration-One-Year-With-R
- Will R be replaced by python in the coming years in industry for data analysis based bioinformatics (ie omics, NGS analysis)
- O que acham da linguagem R?
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What would you recommend for a mathematician and R person who really sucks at software/computing to learn Python as well? Or: how is Python so much more difficult than R?
python is a lot more consistent than R. it doesn't have most of the bullshit detailed here: https://github.com/ReeceGoding/Frustration-One-Year-With-R
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Modeling and simulation is where itβs at
See my friend's essay about it.
- Frustration: One Year with R
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donβt
A friend of mine wrote a [recently viral R takedown](https://github.com/ReeceGoding/Frustration-One-Year-With-R) that shocked people in the same way.
- An R user writes down his frustration
- One Year with R
ggplot2
- ggplot2
- Ask HN: How do you build diagrams for the web?
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Visualizing shapefiles in R with sf and ggplot2!
ggplot2
- Ask HN: What plotting tools should I invest in learning?
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Relative frequency of letters in five-letter English words (Wordle aid) [OC]
I got the list of five-letter words from the words package in R, created the QWERTY keyboard grid with base R and tibble, and visualized the data with geom_tile in the ggplot2 package.
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[OC] U.S. News & World Report Best Colleges: 2002 to 2023
Thanks, it's an interesting idea! I definitely could implement this with scale_fill_gradientn) in ggplot2.
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Facts about Aaron Boone's Ejections as Manager
I used the ggplot2 package in R to create these figures.
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Fueling Innovation and Collaborative Storytelling
This might not be at the top of your list, but science fiction often presents advanced data analysis and visualization technologies. Open source data analysis tools such as Python's Pandas and R's ggplot2 have revolutionized the field, making complex data manipulation and visualization accessible to all. In the science fiction novel The Martian, astronaut Mark Watney uses a variety of data analysis and visualization tools to survive on Mars. He uses Python's Pandas to clean and organize data, and he uses R's ggplot2 to create visualizations of his data. These tools allow him to make sense of the vast amounts of data and help him to make critical decisions about his survival.
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[OC] Visualizing Financial Market Returns Across Many Asset Classes via Heatmaps
Sorry about the slow reply, but the auto-moderator seems to be deleting my comments (for some unknown reason). I will try once more: the geom_tile function in ggplot2.
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[OC] Forbes List of Highest-Earning Musicians: 1987 to 2021
Visual cues are a much better idea, thanks! Unfortunately, I don't know how to do that in ggplot2, either (I created these figures in R).
What are some alternatives?
review-tuxedo-pulse-15-gen1 - A review of the Tuxedo Pulse 15 (Gen 1).
Altair - Declarative statistical visualization library for Python
dtplyr - Data table backend for dplyr
tmap - R package for thematic maps
tidyr - Tidy Messy Data
vega - A visualization grammar.
mech - π¦Ύ Main repository for the Mech programming language. Start here!
dplyr - dplyr: A grammar of data manipulation
cheatsheets - Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
worldfootballR - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob
forcats - ππππ: tools for working with categorical variables (factors)
glue - Glue strings to data in R. Small, fast, dependency free interpreted string literals.