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20 R Packages You Should Know

Subscribe to RichardOnData here:    / @richardondata   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:    • Manipulating Data in R with "dplyr" |...   ggplot2/ggThemeAssist:    • Visualizing Data in R with "ggplot2" ...   tidyr:    • Tidying Data in R with "tidyr" | R Tu...   lubridate:    • Handling Datetimes in R with "lubrida...   forcats:    • Conquering Factors in R with "forcats...   stringr:    • Manipulating Text in R with "stringr"...   kableExtra:    • Designing tables in R with "knitr" an...   caret (part 1):    • Preprocessing Data in R for ML with "...   caret (part 2):    • Feature Elimination and Variable Impo...   caret (part 3):    • Training and Tuning ML Models in R wi...   caret (part 4):    • Creating ROC curves and ensembling mo...   #LearnR #RPackages #BreakingIntoDataScience Reference links: dplyr: https://dplyr.tidyverse.org/ data.table: https://cran.r-project.org/web/packag... 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/upload... kableExtra: https://cran.r-project.org/web/packag... shiny: https://rstudio.com/wp-content/upload... shinyDashboard: https://rstudio.github.io/shinydashbo... caret: https://cran.r-project.org/web/packag... tidymodels: https://rviews.rstudio.com/2019/06/19... keras: https://tensorflow.rstudio.com/guide/... fable: http://fable.tidyverts.org/ reticulate: https://ugoproto.github.io/ugo_r_doc/... "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:   / richardondata   BTC: 3LM5d1vibhp1F7pcxAFX8Ys1DM6XLUoNVL ETH: 0x3CfC599C4c1040963B644780a0E62d45999bE9D8 LTC: MH8yPjvSmKvpmRRmufofjRB9hnRAFHfx32