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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.
Show HN: Llr – a Clojure inspired Lisp that compiles to R in R
1 project | news.ycombinator.com | 27 Nov 20211 project | news.ycombinator.com | 27 Nov 2021
Show HN: A small Clojure-like Lisp on top of R
1 project | news.ycombinator.com | 3 Apr 2021
Any up-to-date ggplot2 course recommendation?
1 project | reddit.com/r/Rlanguage | 30 Mar 2022
The package pages and Hadley Wickham's documentation are pretty up-to-date. If you want to keep yourself updated about the latest changes, maybe take a look at the Github releases section?
Frustration: One Year with R
10 projects | news.ycombinator.com | 22 Mar 2022
Ah yeah, connecting the dots in ggplot2 docs is hard. It's hard for us to document because, under the hood, the pieces quite decoupled and different pieces are responsible for different arguments. But since we last took a deep dive on the ggplot2 docs, we've gotten much better at generating docs with code, so maybe it's time to have another look. I've filed an issue (https://github.com/tidyverse/ggplot2/issues/4770) so we don't forget about it, but no guarantees about when it might get done.
Using Libreoffice Calc and SciDAVis instead of Excel 365 on tight schedule was horror...
1 project | reddit.com/r/linux4noobs | 19 Feb 2022
Some examples of ggplot https://www.r-graph-gallery.com/ https://ggplot2.tidyverse.org/
Need help using only three columns of an excel file
1 project | reddit.com/r/rprogramming | 26 Dec 2021
but anywho, here are some links: r4ds (introduces tidyverse and basic visualization from the start), ggplot2, readxl, (or openxlsx), and joins in dplyr(tidyverse)
Best software for making figures and diagrams?
1 project | reddit.com/r/academia | 22 Dec 2021
For data visualization: IMHO nothing beats ggplot2 when it is well used. *Note: Requires knowledge of the R programming language (but there are plenty of resources to learn it and even to cookie cutter recipes for plots. An advantage of knowing R is that protein interactions networks and pathways can also be produced with it (check bioconducotr for resources).
For fans of Spotify Wrapped, you can download your chronological streaming history for more detailed analysis. No genres or moods, but they provide every song played along with timestamp. [OC]
3 projects | reddit.com/r/dataisbeautiful | 13 Dec 2021
I read these JSON files with the jsonlite R package and wrangled them using dplyr before plotting with ggplot2.
ScatterPlot Help, if anybody knows what coding would have been used for this scatterplot please let me know. Anything helps.
1 project | reddit.com/r/RStudio | 30 Nov 2021
Looks like a basic ggscatter with a line of best fit/linear regression. Check out ggplot.
Deneb: Declarative Visualization in Power BI
4 projects | reddit.com/r/PowerBI | 24 Nov 2021
As such, I've been obsessed with the Vega and Vega-Lite languages for a long time. These use JSON rather than full-blown code, and allow you to build a visual from the ground-up using a grammar of graphics, much like ggplot2 in R or Altair in Python (which is actually an implementation of Vega/Vega-Lite).
Resource for Graphs
1 project | reddit.com/r/academiceconomics | 14 Nov 2021
There are tonnes of great R and ggplot tutorials you can use. I'd start with just figuring out how to install RStudio and then do an online ggplot tutorial; you don't need to understand the "programming language" part of it to just make nice simple graphs. Once you have RStudio installed and running R, start with this page. The R Graphics Cookbook that they link to seems good. Try making your x points with the seq function and then start with applying simple builtin functions to that for your y points (e.g. y = -2*x + 5). There's a lot you can do with it, but it's extremely widely used so an internet search should give you the answer to whatever question you have pretty quickly!
Never thought about that TBH
10 projects | reddit.com/r/ProgrammerHumor | 4 Nov 2021
Many popular R packages in the tidyverse ecosystem (including ggplot2) were mainly written by a Kiwi so all the arguments default to colour and most functions are spelled with British English (like summarise()). They've added a lot of American English aliases, but it's still funny how quickly I got used to the British versions.
What are some alternatives?
Altair - Declarative statistical visualization library for Python
tmap - R package for thematic maps
vega - A visualization grammar.
glue - Glue strings to data in R. Small, fast, dependency free interpreted string literals.
ggshadow - A collection of geoms for R's 'ggplot2' library. geom_shadowpath(), geom_shadowline(), geom_shadowstep() and geom_shadowpoint() functions draw a shadow below lines to make busy plots more aesthetically pleasing. geom_glowpath(), geom_glowline(), geom_glowstep() and geom_glowpoint() add a neon glow around lines to get a steampunk style.
dplyr - dplyr: A grammar of data manipulation
worldfootballR - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob
fontawesome - Easily insert FontAwesome icons into R Markdown docs and Shiny apps
chess - An R package to read, write, create and explore chess games
mirt - Multidimensional item response theory
drc - Fitting dose-response models in R
xLua - xLua is a lua programming solution for C# ( Unity, .Net, Mono) , it supports android, ios, windows, linux, osx, etc.