From Data to Visualization: Emerging Tools for Research / Jan Johansson
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1. The document discusses tools and challenges for data visualization, including emerging tools like Swivel and Many Eyes, as well as risks like misleading visualizations. 2. It outlines goals of the Datasets Product to be a central repository of relevant statistical data and make data easy to analyze through ranking, trending, and mapping. 3. The document describes approaches taken to develop an interface for exploring data, challenges in working with large and complex datasets from various sources, and lessons learned around citing data sources and output formats.
From Data to Visualization: Emerging Tools for Research / Jan Johansson
- 1. Data Visualization Computation From Data to Visualization: Emerging Tools for Research Jan Johansson 11/12/08
- 3. > au: *emens; kw:model
- 9. 66%
- 10. Data On The Brink… Census
- 11. Other Emerging Visualization Tools Swivel M any Eyes Google
- 12. Risks Networked Resources Susceptible to Network Validity - Power, Causality, & Correlation Inference – Great Images lie better
- 14. The Goals of the Datasets Product
- 15. 1. To be a central repository of relevant statistical data Over 6 Billion Data points Over 800 Million Time Series 550 Datasets Public and Private Data Sources
- 16. 2. Make data easy to analyze by Ranking…
- 17. …trending
- 19. 3. To Facilitate “relationship discovery” in statistics
- 21. How we approached the problem Develop an interface that enables the problem solvers to “ask and answer” their own questions Normalize data along common axis Provide flexibility for different structures of data Create a very fast data retrieval subsystem
- 22. Issues to overcome Data is available in an astounding array of complexities Standards are implemented inconsistently? Very large data files Different update frequencies Infrastructure that supports quick addition of new data…including users data Data has to be electronically updated How do you avoid improper use?
- 23. Things we have learned along the way All of the data has to be clearly cited Wherever possible, we have to show the users where we got the data We have to be able to output the data in as many formats as reasonable Automation is key in managing and updating data
- 24. Where we are going Add more data The data source has tripled in size over the past year Add more specialized content Respond to current events with timely data Integration with other programs Google Maps, ESRI, SPSS Make data available through a web service