design VS DataScienceR

Compare design vs DataScienceR and see what are their differences.

DataScienceR

a curated list of R tutorials for Data Science, NLP and Machine Learning (by ujjwalkarn)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
design DataScienceR
2 1
210 1,959
1.4% -
8.4 0.0
2 months ago about 1 year ago
R R
GNU General Public License v3.0 or later MIT License
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.

design

Posts with mentions or reviews of design. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

When comparing design and DataScienceR you can also consider the following projects:

ggstatsplot - Enhancing {ggplot2} plots with statistical analysis 📊📣

badger - Badge for R Package

ggplot2 - An implementation of the Grammar of Graphics in R

aor - 🎄📦 Advent of R: Utility Functions for the Advent of Code in R

dplyr - dplyr: A grammar of data manipulation

lab02_R_intro - Vežbe 2: Uvod u R

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

awesome-computational-social-science - A list of awesome resources for Computational Social Science

rmarkdown - Dynamic Documents for 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.

wesanderson - A Wes Anderson color palette for R

rlang - Low-level API for programming with R