Frustration-One-Year-With-R VS ggplot2

Compare Frustration-One-Year-With-R vs ggplot2 and see what are their differences.

Frustration-One-Year-With-R

An extremely long review of R. (by ReeceGoding)

ggplot2

An implementation of the Grammar of Graphics in R (by tidyverse)
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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
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.

Frustration-One-Year-With-R

Posts with mentions or reviews of Frustration-One-Year-With-R. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-22.

ggplot2

Posts with mentions or reviews of ggplot2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-02.

What are some alternatives?

When comparing Frustration-One-Year-With-R and ggplot2 you can also consider the following projects:

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

glue - Glue strings to data in R. Small, fast, dependency free interpreted string literals.