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The Cataloger Final Project
The Cataloger Game is ready when you are! Try to have fun, unlike this cataloger.
Credit: Unshelved by Gene Ambaum & Bill Barnes -
The Cataloger- Rough Draft
Hello! Below is the rough draft. Somethings I hope to update/change 1) Make the Cataloger Game fun, maybe with more tests or images, 2) play with the data viz, 3) Work on relating the data viz/analysis with the literature/argument.
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Trouble with Dual Axis on Tableau
Hello Hivemind!
Prof. Kane and I (mostly Prof. Kane) are having trouble filtering one axis on this dual axis map. Any suggestions?
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Wire frame for Museum Buffs
For this project, I hope to teach visitors how museum objects are cataloged and show them the difficulties of cataloging objects with little information. At the end of this project, visitors will be welcomed to play the role of a museum cataloger using real objects held at the University of Pennsylvania Museum of Archaeology and Anthropology.
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Final Proposal or: How I Learned to Stop Worrying and Love the Data Set
Data Critique
University of Pennsylvania Museum of Archaeology and Anthropology – Online Collections
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Who are the great men?
For this assignment, I was curious to see how the six terms “Master”, “Time”, “Slaves”, “People”, “Great”, and “Man” relate to each other in the texts. I’m especially interested in the term “Great”.
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Networks (pre-Facebook edition)
Over time more networks are connecting people to each other. The people who connect small sub-networks include Aron Oseragighte, Cornelius Thanighwanege, and our chick Anna Clement.
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Trees and Circles
Imagine that you walk into a pet shop and you are tasked with organizing all the animals into categories. How would you represent that data visually? Maybe bar graphs to show there are more dogs than cats. However, what does each bar represent an animal or a general type of animal? And you want to show your readers how the proportions of mammals and reptiles, something a simple bar graph cannot easily express.
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Big Pictures in Small Multiples
Historian using large sets of data can take advantage of small multiples to create a cohesive visualization of the data. By breaking down large chunks of data into smaller pieces and represent that data in more than one chart historians can present an argument.