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DTSTART:20240118T170000Z
DTEND:20240118T180000Z
DTSTAMP:20240118T000000Z
SUMMARY:R for Lunch: Data wrangling with dplyr
DESCRIPTION:[Online] Part of the RFun Series. We explore the five essential 
 {dplyr} data wrangling verbs. We demonstrate and apply data pipes inside 
 code-chunks within Quarto coding notebooks. Quarto Notebooks were discussed 
 in the previous session. This event is open to non-Duke participants.\n\nR 
 for Lunch is a one-hour lunchtime 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. \n\nA zoom link will be sent via email to registered participants 
 to join the workshop. \n\nNOTE:  Must have an up-to-date installation of 
 RStudio.  (RStudio > Help > Check for Updates)\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:n/a
ORGANIZER;CN="Center for Data and Visualization Sciences":MAILTO:askdata@duke.edu
CATEGORIES:Data and Visualization
CONTACT;CN="Center for Data and Visualization Sciences":MAILTO:askdata@duke.edu
STATUS:CONFIRMED
UID:LibCal-11640857
URL:https://duke.libcal.com/event/11640857
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