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Data Visualization Competition

SESUG is pleased to announce our 2019 Data Visualization Competition.

Click here to download the complete Data Visualization Competition details

The SESUG Data Visualization Competition rules are listed below:

  • Competition is open to all SAS users.
  • Participants must be registered to attend SESUG 2019 to be eligible for cash prizes; all other entrants will be eligible for recognition/placement only.
  • Participants can submit a maximum of two entries.
  • Results must use SAS or JMP or both.
  • Results must use one of the provided datasets (see below).
  • All visualization forms are eligible - we are looking for the best visualization of information using SAS or JMP software.
  • Submitters must agree to inclusion of their entry in the SESUG proceedings, and if a winner, for SESUG promotional use.
  • All code must be included with submission and be reproducible. Visual Analytics entries must include the session generated .xml.
  • Submissions must be individual rather than group efforts.
  • An outside judge with graphics expertise will be selected.
  • Judging will be "entrant blind" to protect against unintentional bias.
  • Judging criteria will score entries on creativity, clear presentation of information, and overall appearance.
  • All visualization entries should be incorporated into a .PPTX and sent to Barbara Okerson. Be sure to separately include code and contact information with the submission.
  • Entries must be received by EOD October 6th, 2019.
  • Results will be announced and prizes awarded at SESUG opening session. All entries will be available for viewing throughout the conference.

Data sets for the competition are:
1. York County Indentured Servants 1718-1759
308 entries, 14 fields
Permission to use dataset received from Virtual Jamestown.

2. Humphrey Harwood Ledger B, Folios 1-102 (1773-1793)
Harwood was a bricklayer and builder
3346 entries, 53 fields with key
Permission to use dataset received from Colonial Williamsburg Foundation.

2018 Winning SESUG Data Visualization

For more information, please contact Barbara Okerson




















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