Garrett Grolemund

Garrett is a data scientist and master instructor for RStudio. He excels at teaching, statistics, and teaching statistics. He wrote the popular lubridate package and is the author of Hands On Programming with R and the upcoming book, Data Science with R, from O’Reilly Media. He holds a PhD in Statistics and specializes in Data Visualization.

  • R Markdown: The Bigger Picture (EARL London 2018)

    R Markdown: The Bigger Picture (EARL London 2018)

    Data Science is threatened by a looming credibility crisis: too many scientific results are not reproducible. Unfortunately, data scientists have accidentally contributed to the problem.

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  • Reproducibility in Production53:23

    Reproducibility in Production

    Computational documents offer limitless opportunities for your business. With them, your consumers can rerun your report with new parameters, apply your analysis to new data, or schedule updates.

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  • R Markdown: The bigger picture - Garrett Grolemund18:51

    R Markdown: The bigger picture - Garrett Grolemund

    Statistics has made science resemble math, so much so that we've begun to conflate p-values with mathematical proofs.

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  • How to Work with List Columns - Garrett Grolemund50:22

    How to Work with List Columns - Garrett Grolemund

    This webinar breaks down one of the most esoteric concepts in the tidyverse: list columns.

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  • Tidyverse visualization manipulation basics - This introduction to the tidyverse will cover several best practices for analyzing data with R56:44

    Tidyverse visualization manipulation basics - This introduction to the tidyverse will cover several best practices for analyzing data with R

    This introduction to the tidyverse will cover several best practices for analyzing data with R.

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  • Part 2 - Easy ways to collect different types of data from the web with R39:26

    Part 2 - Easy ways to collect different types of data from the web with R

    Easy ways to collect different types of data from the web with R.

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  • Part 1 - Easy ways to collect different types of data from the web with R41:49

    Part 1 - Easy ways to collect different types of data from the web with R

    Easy ways to collect different types of data from the web with R.

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  • Data wrangling with R and RStudio53:48

    Data wrangling with R and RStudio

    Before an R program can look for answers, your data must be cleaned up and converted to a form that makes information accessible.

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  • Introducing Shiny Gadgets: Interactive Tools42:26

    Introducing Shiny Gadgets: Interactive Tools

    A Shiny Gadget is an interactive tool that enhances your R programming experience.

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  • Managing - Part 3 (Packrat and RStudio)37:48

    Managing - Part 3 (Packrat and RStudio)

    This webinar series, “RStudio Essentials,” is the perfect way to learn how to use the IDE to its fullest. Part 6 of 6 is about managing packages in RStudio.

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  • Managing - Part 2 (Github and RStudio)47:03

    Managing - Part 2 (Github and RStudio)

    This webinar series, “RStudio Essentials,” is the perfect way to learn how to use the IDE to its fullest. Part 5 of 6 is about using Github in RStudio.

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  • Managing - Part 1 (Projects in RStudio)37:25

    Managing - Part 1 (Projects in RStudio)

    This webinar series, “RStudio Essentials,” is the perfect way to learn how to use the IDE to its fullest. Part 4 of 6 is about managing projects in RStudio.

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  • Programming - Part 3 (Package writing in RStudio)37:10

    Programming - Part 3 (Package writing in RStudio)

    This webinar series, “RStudio Essentials,” is the perfect way to learn how to use the IDE to its fullest. Part 3 of 6 is about writing packages in RStudio.

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  • Programming - Part 2 (Debugging code in RStudio)31:18

    Programming - Part 2 (Debugging code in RStudio)

    This webinar series, “RStudio Essentials,” is the perfect way to learn how to use the IDE to its fullest. Part 2 of 6 is about debugging code in RStudio.

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  • Programming - Part 1 (Writing code in RStudio)33:50

    Programming - Part 1 (Writing code in RStudio)

    This webinar series, “RStudio Essentials,” is the perfect way to learn how to use the IDE to its fullest. Part 1 of 6 is about writing code in RStudio.

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