{"version":"1.0","type":"rich","title":"Install useful R packages data science","description":"This example shows a script for installing a curated set of R packages essential for data science workflows. It covers data manipulation with `dplyr`, `tidyr`, and `data.table`; data presentation via `rmarkdown` and `knitr`; database connectivity through `RODBC`, `RMySQL`, `RPostgreSQL`, and `RSQLite`; and file I/O for formats like Excel (`xlsx`), SAS (`foreign`), JSON (`jsonlite`), and XML (`XML`). The code also includes packages for plotting (`ggplot2`), package development (`devtools`, `roxygen2`), and testing (`testthat`). Each package name is accompanied by a comment explaining its purpose, making the installation list self-documenting.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-6715bc32cbc1f2f7f646cd89f8c673bd?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}