This repo aims to analyse some caracteristics of CRAN package.
The data collecting part was inspired by this question on SO.
We collect the datas :
- through
tools::CRAN_package_db()to get the descriptions ; - through scraping from CRAN, with
politeandrvestfor the views; - through
cranlogsto get the download stats.
Some inspiration for the cleaning come from the grapher package (and this function).
- by how many people and by who are packages built and maintained ?
- same for organizations ?
- analysis of collaboration on packages through author list ;
- identify "core" packages (the one that people download themselves) and underlaying packages (the one downloaded by packages) ;
- GIF of the growing of CRAN ;
- do packages have nationality ?
- predict the topic of packages with depends and description and compare it to in views subject .
Some work as be done on the subject and could be useful :
- https://arxiv.org/pdf/2007.07820.pdf
- https://blog.revolutionanalytics.com/2015/08/differences-in-the-network-structure-of-cran-and-bioconductor.html?utm_content=bufferabeb1&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
- https://shiny.john-coene.com/cran/
- https://cran.r-project.org/web/packages/pkggraph/vignettes/vignette_pkggraph.html