Easy data cleaning and manipulation with tidyverse
Details
We will be talking about tidyr & dplyr packages, and show how these packages make data cleaning much less painful & provide easy to use functions for the first steps of data exploration. After a short presentation about "tidy data" and tidyr & dplyr, we will do practical examples and go over the vignettes provided by Hadley Wickham (the creator of the tidyverse).
Bring your laptop, extension cord (if you have battery issues), and your enthusiasm! Although tidyverse doesn't require much R experience, we expect you to be familiar with R, RStudio, loading data & packages into R and basic understanding of base R class types.
tidyr examples require certain data files so:
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Please download them via dropbox from here (https://www.dropbox.com/sh/nkhrhcgx6ogg24j/AACKLaJq5_8VDQHmlhZfluCOa?dl=0)
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Or if you're familiar with GitHub get it from the tidy repo (https://github.com/tidyverse/tidyr) under vignettes.
Since we plan to have refreshments at this meetup, we kindly ask you to RSVP only if you are sure that you will be coming.
Links to Google maps locations: College of Pharmacy, Parks Hall (https://goo.gl/maps/BXHrWseC3wq), Closest parking (https://goo.gl/maps/vp4jypHympS2)
