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20 R Packages You Should Know

RichardOnData 41,604 4 years ago
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Subscribe to RichardOnData here: https://www.youtube.com/channel/UCKPyg5gsnt6h0aA8EBw3i6A?sub_confirmation=1 Skip ahead: 2:43 - dplyr 3:54 - data.table 5:09 - tidyr 6:12 - ggplot2 7:50 - ggThemeAssist 10:08 - esquisse 13:04 - plotly 14:51 - purrr 16:20 - stringr 16:54 - lubridate 17:44 - forcats 18:59 - rmarkdown 20:24 - kableExtra 21:25 - shiny 22:30 - shinyDashboard 23:17 - caret 24:10 - tidymodels 25:45 - keras 27:03 - fable 28:26 - reticulate RichardOnData tutorials: dplyr: https://youtu.be/6Z48qcrTfYU ggplot2/ggThemeAssist: https://youtu.be/2qPQhXnbk3o tidyr: https://youtu.be/4_7MDLTWflA lubridate: https://youtu.be/VYAo69WdJZg forcats: https://youtu.be/6aHrHzHgHms stringr: https://youtu.be/cVBvpi4qgc4 kableExtra: https://youtu.be/JqUViTDoSEo caret (part 1): https://youtu.be/SYUMTRt70pk caret (part 2): https://youtu.be/9vrf9O5ef6g caret (part 3): https://youtu.be/rTphHY9Chgk caret (part 4): https://youtu.be/epFy6SPIuWs #LearnR #RPackages #BreakingIntoDataScience Reference links: dplyr: https://dplyr.tidyverse.org/ data.table: https://cran.r-project.org/web/packages/data.table/vignettes/datatable-intro.html tidyr: https://tidyr.tidyverse.org/ ggplot2: https://ggplot2.tidyverse.org/ esquisse: https://rdrr.io/cran/esquisse/ plotly: https://plotly.com/r/ purrr: https://purrr.tidyverse.org/ stringr: https://stringr.tidyverse.org/ lubridate: https://lubridate.tidyverse.org/ forcats: https://forcats.tidyverse.org/ rmarkdown: https://rstudio.com/wp-content/uploads/2015/02/rmarkdown-cheatsheet.pdf kableExtra: https://cran.r-project.org/web/packages/kableExtra/vignettes/awesome_table_in_html.html shiny: https://rstudio.com/wp-content/uploads/2015/02/shiny-cheatsheet.pdf shinyDashboard: https://rstudio.github.io/shinydashboard/get_started.html caret: https://cran.r-project.org/web/packages/caret/vignettes/caret.html tidymodels: https://rviews.rstudio.com/2019/06/19/a-gentle-intro-to-tidymodels/ keras: https://tensorflow.rstudio.com/guide/keras/ fable: http://fable.tidyverts.org/ reticulate: https://ugoproto.github.io/ugo_r_doc/pdf/reticulate.pdf "R for Data Science" digital version: https://r4ds.had.co.nz/ "R for Data Science" amazon link: https://amzn.to/3tNFKVv "Deep Learning with R": https://amzn.to/3txjtdA All logos used are the property of RStudio. I am not the creator of the mentioned logos, packages, or materials. PayPal: [email protected] Patreon: https://www.patreon.com/richardondata BTC: 3LM5d1vibhp1F7pcxAFX8Ys1DM6XLUoNVL ETH: 0x3CfC599C4c1040963B644780a0E62d45999bE9D8 LTC: MH8yPjvSmKvpmRRmufofjRB9hnRAFHfx32

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