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R para Data Science
book

R para Data Science

by Hadley Wickham, Garrett Grolemund
March 2018
Intermediate to advanced
528 pages
13h 2m
Portuguese (Portugal, Brazil)
Alta Books
Content preview from R para Data Science
Índice | 493
bibliografias e citações, 437
cache, 432–433
chunks de código, 428–435
código alinhado, 434
colaboração, 439
como notebook de análise,
479–481
dashboards, 473–474
documentos, 470
fluxo de trabalho, 479–481
formatação de texto, 427–428
header YAML, 435–438
interatividade
htmlwidgets, 474
Shiny, 476
notebooks, 471
o básico, 423–427
opções de saída, 470
opções globais, 433
para websites, 477
parâmetros, 436–437
solução de problemas, 435
usos, 423
visão geral de formatos, 469
rbind(), 320
read_csv(), 125–129
read_file(), 143
read_lines(), 143
read_rds(), 144
readr, 125–145
comparado à base R, 128
localizações, 131
parse_*(), 129–143 (veja também
a função parse_*()) ...
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Publisher Resources

ISBN: 9788550803241