references.bib

@software{allaire,
  title = {Quarto},
  author = {Allaire, J. J. and Teague, Charles and Xie, Yihui and Dervieux, Christophe},
  doi = {10.5281/ZENODO.5960048},
  url = {https://quarto.org},
  urldate = {2024-07-05},
  abstract = {Quarto is an open-source scientific and technical publishing system built on Pandoc.},
  organization = {Zenodo},
  keywords = {computer science,dynamic documents,exact sciences,pandoc,r (programming language)}
}

@dataset{datasusa,
  title = {Índice de Gini da renda domiciliar per capita segundo município -- Período: 1991, 2000 e 2010},
  author = {{Instituto de Pesquisas Econômicas e Aplicadas} and {Instituto Brasileiro de Geografia e Estatística}},
  publisher = {DATASUS - Tabnet},
  url = {http://tabnet.datasus.gov.br/cgi/ibge/censo/cnv/ginibr.def},
  urldate = {2023-11-16},
  langid = {brazilian},
  keywords = {brazil,citizen science,datasus,exact sciences,gini index,nosource,open data,open science,probability and statistics},
  note = {Gini Index of per capita household income by municipality – Period: 1991, 2000, and 2010}
}

@software{rcoreteama,
  title = {R: {{A}} language and environment for statistical computing},
  author = {{R Core Team}},
  location = {Vienna, Austria},
  url = {https://www.R-project.org},
  organization = {R Foundation for Statistical Computing},
  keywords = {computer science,exact sciences,nosource,probability and statistics,programming languages,r (programming language)}
}

@online{wickham2023c,
  title = {The tidy tools manifesto},
  author = {Wickham, Hadley},
  date = {2023},
  url = {https://tidyverse.tidyverse.org/articles/manifesto.html},
  urldate = {2023-07-18},
  abstract = {tidyverse},
  langid = {english},
  organization = {Tidyverse},
  keywords = {data engineering,data science,engineering,guia de estilo,nosource,programming,r (programming language),software engineering}
}

@book{wickham2023e,
  title = {R for data science: {{Import}}, tidy, transform, visualize, and model data},
  shorttitle = {R for data science},
  author = {Wickham, Hadley and Çetinkaya-Rundel, Mine and Grolemund, Garrett},
  date = {2023},
  edition = {2},
  publisher = {O'Reilly Media},
  location = {Sebastopol, CA},
  url = {https://r4ds.hadley.nz},
  abstract = {Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverseâ??a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly. You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Updated for the latest tidyverse features and best practices, new chapters show you how to get data from spreadsheets, databases, and websites. Exercises help you practice what you've learned along the way.},
  isbn = {978-1-4920-9740-2},
  langid = {american},
  pagetotal = {576},
  keywords = {data engineering,data science,exact sciences,probability and statistics,programming,r (programming language)},
  file = {/home/danielvartan/Insync/danvartan@gmail.com/Google Drive/Zotero/files/Wickham - 2023 - R for data science.epub;/home/danielvartan/Insync/danvartan@gmail.com/Google Drive/Zotero/files/Wickham - 2023 - R for data science.pdf}
}