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UID:110@researchweek.unc.edu
DTSTART;TZID=America/New_York:20221012T120000
DTEND;TZID=America/New_York:20221012T160000
DTSTAMP:20230720T145158Z
URL:https://researchweek.unc.edu/events/i-spot-a-cool-plot-2022/
SUMMARY:I Spot a Cool Plot: A Nearly Syntax-Free Introduction to Advanced D
 ata Visualization in R for Survey Researchers and Social Scientists
DESCRIPTION:This online workshop will introduce attendees to the advanced d
 ata visualization capabilities in R and to the concepts of the grammar of 
 graphics. Specifically\, we will demonstrate how to access ggplot2 using a
  graphical user interface library in R as well as through an R shiny app. 
 These environments provide the user a “point and click” interface for 
 accessing the power of ggplot2 and can generate R syntax automatically the
 reby providing users a boost up the learning curve for understanding the g
 rammar of graphics used by ggplot2.\n\nWe begin the workshop with an overv
 iew of the grammar of graphics and explain how graphs are constructed in l
 ayers and aesthetics which will lay a foundation for how to approach creat
 ing advanced graphics and visualizations. We will then demonstrate how to 
 create and export various kinds of visualizations including violin pots\, 
 line plots\, boxplots\, scatterplots\, bubble plots\, bar charts\, histogr
 ams and more using these interfaces. The examples used throughout will lev
 erage mixed data types (e.g. a combination of continuous and categorical v
 ariables) that are common in both survey research and social sciences.\n\n
 While no prior R programming experience is assumed\, a working understandi
 ng of the R environment (how to load packages\, etc.) or Rstudio will be v
 ery helpful. Having the most recent version of R and /or Rstudio and an in
 ternet connection during the workshop would help users follow along in rea
 l time if desired.\n\n\nInstructor: Trent Buskirk\, PhD\nTrent D. Buskir
 k\, PhD\, is the Novak Family Professor of Data Science and the Chair of
  the Applied Statistics and Operations Research Department at Bowling Gree
 n State University. Trent received his PhD in Statistics from Arizona 
 State University with emphasis in Survey Sampling. Since that time he has 
 developed specific expertise in Mobile and Smartphone Survey Designs and D
 ata and in the use of machine learning methods for developing sampling des
 igns and adaptive survey protocols. Trent has held positions in academia a
 nd industry including Director of the Center for Survey Research at UMass 
 Boston and as an Associate Professor of Biostatistics at Saint Louis Unive
 rsity as well as the Research Director in Measurement Science for the Niel
 sen Company and Vice President or Methods and Statistics at the Marketing 
 Systems group.\n\nClick Here to Register for this Event\nClick Here for Mo
 re Information About this Event
ATTACH;FMTTYPE=image/jpeg:https://researchweek.unc.edu/wp-content/uploads/
 2022/09/odum_institute_11_006.jpg
LOCATION:https://apps2.research.unc.edu/events/index.cfm?event=events.go&ke
 y=B305
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