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American Housing Survey: Affordable Housing

American Housing Survey: Affordable Housing. Progress report November 11, 2009 James Lampton , Sonia Ng, Swetha Reddy, Di-Wei Huang. Review of Data. Set of categorical time series data of ten cities From 1985 to 2005 Each symbol represents two year interval 0-8 categories

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American Housing Survey: Affordable Housing

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  1. American Housing Survey: Affordable Housing Progress report November 11, 2009 James Lampton, Sonia Ng, Swetha Reddy, Di-Wei Huang

  2. Review of Data Set of categorical time series data of ten cities From 1985 to 2005 Each symbol represents two year interval 0-8 categories Merged few categories (2,3)(4,5)(7,8) Other attributes (age, units, rooms) Sample size is too small for hypothesis testing on individual municipalities – designed for the entire US.

  3. Priorities • From Daniel (all focused on affordable housing): • Examination of transitional probabilities. • Correlation of behaviors to additional attributes (age, number of units, number of rooms, etc). • Time Series Visualization. • Goals: • Provide visualizations publishable for the economics study. • Develop a tool that allows policy makers to explore the impact of different decisions. The sponsor, MacArthor Foundation, may be interested.

  4. Task 1: Transition Probabilities • Represent the transition probabilities of affordable housing between any two years. • Notes: • Easily done with Spotfire, can we find a way to visualize more transitions?

  5. Forward Analysis

  6. Backward Analysis

  7. Task 2: Attribute Contributions • How transition probabilities of affordable housing are affected by characteristics like number of units, age of the house. • Notes: • May be able to apply statistical tests (ANOVA?) to determine if any attributes have any meaningful contribution to the outcome of the states. • Unlikely to push any boundaries of existing tools/research.

  8. Task 3: Application/Time Series • Visualize the various paths that a house takes over years. • Note: • Highly categorized data makes time series visualization less effective (perhaps we should examine the raw AHS price data)? • Can we apply the selection techniques from Time Searcher with the motif techniques seen in VisTree? • Visualization of k-motif clustering?

  9. AHS explorer

  10. AHS explorer

  11. AHS explorer

  12. Viztree

  13. Tentative Schedule 15th Nov – Finalize design/narrow scope 20th Nov – Task 2 (skip?) 28th Nov – Task 3 2nd Dec - Draft

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