Culture MAT 259 Qian Liu |
Cellular 2D Frequency Mapping 2011W |
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Inspiration
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What is Seattle famous for?
Amazon, Starbucks and preforming Arts. This project is based on the interest of giving the data a "local" meaning rather than just treat it as general data. Since most of the people who is using the library should be local residents, Culture Cellular tends to find out the relationship between the books being checked out and local residents' interest. Four identical topics have been chosen for this visualization: technology(Medical science), Arts(performing Arts), Food and Drink and Economy as they all have a closer relationship with the city -- seattle. |
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Start From Doodles
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Initial Doodle |
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Working Process |
Get familar with the data and pick the righte catalog to work on: Find the best way to display the data: Coding and Solve techinical problems: Choose color panel:
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Final Visual |
As warm color will have a stronger effect on the audience's feelings, instead of choose both cold and warm tones in the same visual, this project just keeps the warm tone color from the color panel to visualize the data From different perspectives, two versions of visualizations have been maked. VERSION I tends to get a general idea about the book numbers of different categories and is using a daily based data. VERSION II has a more detail way approaching the data, althought using a monthly based data, it compares different daily data from each subcategories. Based on the checked in books number, the alpha value changes, which means the deeper the color is, the more books from that subcategory is being checked in. VERSION I: Display with Each Catalog's detail data Display with the hexagon grid VERSION II: Display with Each Catalog's detail data Display with category number and book number |
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KeyBoard Control |
Arrow Keys: UP: show or not show the number and percentage of each category in a daily checked in base(VERSION I) show or not show the plot details(VERSION II) DOWN: show or not show the hexagon grid LEFT: get previous year's data RIGHT: get next year's data VERSION I: VERSION II: |
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