DataScienceR VS awesome-computational-social-science

Compare DataScienceR vs awesome-computational-social-science and see what are their differences.

DataScienceR

a curated list of R tutorials for Data Science, NLP and Machine Learning (by ujjwalkarn)
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DataScienceR awesome-computational-social-science
1 1
1,959 458
- 5.7%
0.0 6.4
about 1 year ago 2 months ago
R R
MIT License Creative Commons Zero v1.0 Universal
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.

DataScienceR

Posts with mentions or reviews of DataScienceR. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-12.

awesome-computational-social-science

Posts with mentions or reviews of awesome-computational-social-science. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing DataScienceR and awesome-computational-social-science you can also consider the following projects:

badger - Badge for R Package

tidytext - Text mining using tidy tools :sparkles::page_facing_up::sparkles:

aor - πŸŽ„πŸ“¦ Advent of R: Utility Functions for the Advent of Code in R

awesome-R - A curated list of awesome R packages, frameworks and software.

design - Tidyverse design principles

textfeatures - πŸ‘·β€β™‚οΈ A simple package for extracting useful features from character objects πŸ‘·β€β™€οΈ

lab02_R_intro - VeΕΎbe 2: Uvod u R

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.

rlang - Low-level API for programming with R

seminr - Natural feeling domain-specific language for building structural equation models in R for estimation by covariance-based methods (like LISREL/Lavaan) or partial least squares (like SmartPLS)

c3plot - R Package for Interactive Plotting via C3.js with a Base Graphics-like Interface