Event
Coding & Cookies: Data Visualization in R
When
· 12:00 PM MDT
Shown in the venue’s time zone (America/Denver), not yours.
Where
Not a physical place
The feed that carries this event publishes a title and a date and no location. The event is real and is held; we simply do not know where it happens, which is a different thing from it happening nowhere.
Tickets
No on-sale date recorded
This event came from a public calendar feed. Calendar feeds publish when a show happens, not when its tickets go on sale — so this is genuinely unknown rather than zero, and rather than “already on sale”.
What the source said
Online Location: https://colostate.libcal.com/event/17249593<br>Event Contact Name: Erik Helton<br>Event Contact Email: erik.helton@colostate.edu<br>Audience: Faculty,Graduate Student,Student<br>Cost: FREE<br>Dept / Unit / Program: Library<br>Link: https://colostate.libcal.com/event/17249593<br><br>So you’re familiar with R, but want to do more with your plots than the base graphics package. In this month’s Coding and Cookies, the ggplot2 package in R will be discussed.<br><br>After this session, you will be able to create a variety of plot types, alter their aesthetics, and create custom themes.<br><br>A working knowledge of R/RStudio and dplyr (e.g., attending R Basics and Tidy Data in R) would be helpful for you to get the most out of this session.