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DTSTART:20230901T163000Z
DTEND:20230901T173000Z
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SUMMARY:R for Lunch: data wrangling with dplyr
DESCRIPTION:[In-person] Part of the Rfun Series. R for Lunch is a one-hour 
 lunch-time series designed to help people learn R for reproducible 
 computational thinking. R is a data science and data visualization tool 
 which\, when combined with RStudio\, the Tidyverse\, and Quarto\, provides 
 a powerful and flexible environment for reproducible research. Note: Lunch 
 will NOT be provided but you are welcome to bring your own!\n\nRegister in 
 advance. Meet in Person.  Recordings will be shared on a delayed schedule. 
 This event is open to non-Duke participants.\n\nR for Lunch (1 hour 
 each)\n- Thursday - 8/31/23 \; previous session\n- Friday - 9/1/23 \; 12:30 
 \; data wrangling with dplyr (builds on previous sessions)\n- Friday - 
 9/8/23 \; 12:30 \; Visualization with ggplot2\n- Friday - 9/15/23 \; 12:30 
 \; ai-assisted coding \; interactive viz (HTML Widgets\, ObservableJS)\n- 
 Friday - 9/22/23 \; 12:30 \; Tidy data \; pivot\, join\, iteration part1\n- 
 Friday - 9/29/23 \; 12:30 \; functions & purrr\; iteration part2\n- Friday 
 - 10/6/23 \; 1:30 \; regression and tidymodels  \n\n\nThe content of the 
 workshop may be recorded. If you are uncomfortable with a recording being 
 published\, please contact the instructor at any time prior to the 
 conclusion of the workshop.\n\nData Science
LOCATION:Bostock 127 (The Edge Workshop Room)\, West Campus
ORGANIZER;CN="Center for Data and Visualization Sciences":MAILTO:askdata@duke.edu
CATEGORIES:Data and Visualization, Events @ the Edge
CONTACT;CN="Center for Data and Visualization Sciences":MAILTO:askdata@duke.edu
STATUS:CONFIRMED
UID:LibCal-11002159
URL:https://duke.libcal.com/event/11002159
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