stat-computing-r-python/DESCRIPTION at main · srvanderplas/stat-computing-r-python · GitHub

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Type: project
Package: stat-computing-r-python
Title: Statistical Computing in R and Python Textbook
Version: 2023.5
Authors@R:
    person("Susan", "Vanderplas", , "susan.vanderplas@unl.edu", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-3803-0972"))
Description: A Textbook for teaching statistical computing with R and Python. Covers topics including reproducibility, version control, data import, wrangling, reshaping, summaries, and visualization. Advanced topics include web scraping, use of databases and OCR tools, and advanced visualization techniques including interactive graphics.
License: GPL (>= 3)
Encoding: UTF-8
Imports:
  reticulate,
  stringr,
  ggplot2,
  dplyr,
  tidyr,
  purrr,
  lubridate,
  jsonlite,
  fontawesome,
  forcats,
  readr,
  readxl,
  renv,
  xml2,
  downlit,
  tibble,
  magrittr,
  yaml,
  rmarkdown,
  devtools,
  patchwork,
  truncnorm,
  broom,
  knitr,
  DT,
  htmltools,
  rvest,
  polite,
  httr,
  httr2,
  plotly,
  RColorBrewer,
  leaflet,
  sf,
  Hmisc,
  DBI,
  RSQLite,
  skimr,
  ggthemes,
  maps,
  png,
  git2r,
  gdata,
  sas7bdat,
  GGally,
  datasauRus,
  palmerpenguins,
  scales,
  gapminder,
  nycflights13,
  dbplyr