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Introduction to Digital HumanitiesMain MenuWhat is Digital Humanities?Module I: A Theoretical IntroductionExploring The Tool BoxModule I: An Experiential IntroductionCreating Digital IdentitiesModule I: A Personal IntroductionConstructing DataModule II: DH MethodsWorking with Big DataModule II: DH MethodsData VisualizationModule II: DH MethodsMappingModule II: DH MethodsDistant ReadingModule II: DH MethodsNetwork AnalysisModule II: DH MethodsCritical Platform StudiesModule III: Critical PerspectivesPostcolonial and Intersectional Digital HumanitiesModule III: Critical PerspectivesDH ProjectModule IV: Creative ExpressionsAndrea Davise50475e163fb87bc8bd10c6c0244468fd91e8da5Digital Humanities Certificate
Data Visualization
12023-06-08T09:42:55-07:00Andrea Davise50475e163fb87bc8bd10c6c0244468fd91e8da5308621Module II: DH Methodsimage_header2023-06-08T09:42:55-07:00Andrea Davise50475e163fb87bc8bd10c6c0244468fd91e8da5This week we will examine some of the promises and pitfalls of visualizing humanities data with the end goal of making big data accessible and meaningful to broad audiences.
Find a humanities dataset a build a simple data visualization with Tableau, Raw Graphs, or Morph. (For this assignment you can, but do not need to, use Miriam Posner's Tableau Tutorial.) Embed your visualization on your "Assignment #6" page and discuss what your visualization tells you that you couldn’t see from the data itself, why you selected a particular visualization tool, and how you might relate and/or interpret your dataset and visualization in light of the assigned readings. Be sure to follow the instructions on the "Assignment" page of our workbook to make sure that it shows up in the contents of your personal page and the "Assignment #6" page.
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12023-06-08T09:42:54-07:00Andrea Davise50475e163fb87bc8bd10c6c0244468fd91e8da5ScheduleAndrea Davis1Requirements and Due Datesimage_header2023-06-08T09:42:54-07:00Andrea Davise50475e163fb87bc8bd10c6c0244468fd91e8da5