Join us at rstudio::conf(2022) to sharpen your R skills.
| July 25-28th in D.C.
July 25-28th in D.C.
7/25 - 7/28 in D.C.
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Data Science Essentials
Data wrangling with R and RStudio
October 24, 2016
A recent article from the New York Times said “Data scientists, according to interviews and expert estimates, spend from 50 percent to 80 percent of their time mired in the mundane labor of collecting and preparing data, before it can be explored for useful information.”
Before an R program can look for answers, your data must be cleaned up and converted to a form that makes information accessible. In this webinar, you will learn how to use the `dplyr` and `tidyr` packages to optimise the data wrangling process. You’ll learn to:
Garrett is the author of Hands-On Programming with R and co-author of R for Data Science and R Markdown: The Definitive Guide. He is a Data Scientist at RStudio and holds
a Ph.D. in Statistics, but specializes in teaching. He’s taught people how to use R at over 50 government agencies, small businesses, and multi-billion dollar global
companies; and he’s designed RStudio’s training materials for R, Shiny, R Markdown and more. Garrett wrote the popular lubridate package for dates and times in R and
creates the RStudio cheatsheets.