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Visualization, analysis and mining of geo-spatial information in educational data sets using web-based tools Aniruddha Desai |Winter 2013 Presentation Center for Web and Data Science

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Visualization , analysis and mining of geo-spatial information in educational data sets using web-based tools Aniruddha Desai |Winter 2013 Presentation Center for Web and Data Science University of Washington, Tacoma. Outline. Motivation / Background. OSPI – RTI Reports. OSPI – SNP Reports. - PowerPoint PPT Presentation

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Page 1: Outline

Visualization, analysis and mining of geo-spatial information in educational data sets using web-based tools

Aniruddha Desai |Winter 2013 PresentationCenter for Web and Data ScienceUniversity of Washington, Tacoma

Page 2: Outline

Outline

Page 3: Outline

Motivation / Background

Page 4: Outline

OSPI – RTI Reports

Page 5: Outline

OSPI – SNP Reports

Page 6: Outline

Collect, Analyze, Share Data

Page 7: Outline

Data Visualization Goals

Page 8: Outline

Data Visualization GoalsLincoln County

No. of Participants Trained: XNo. of Responses Rcvd: X’

Population Density: YNumber of Trainings: Z

Go to Results

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Data Visualization Goals

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Data Visualization Goals

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Data Analysis / Mining Goals

Can visualizations answer some of these questions?–Can we predict which area needs more professional development training next year?–Is the response rate on surveys and participant attendance rate co-related?–High volume / variety of data (some of it geo-spatial): survey responses / qualitative assessments / user zip codes / school locations / district boundaries – how do we extract useful information?

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Data Analysis / Mining Goals

– Are demographic data (census), income levels, crime statistics, employment rates related to:the outcomes of intervention (for RTI)?the quality of professional development (for SNP)?

– Data collection, reporting and visualization is the first step – finding patterns potentially the next step.

– How do the visualizations scale up from state to national level?

Page 13: Outline

Tools– Drupal CMS (already in-place)– Google Maps API – Gmap module to create an

interface to the Google Maps API within Drupalhttp://drupal.org/project/gmap

– D3.JS (Data Driven Documents) visualizations such as Heat Maps, Chloropleth Maps, Bar charts, Pie chartshttps://github.com/mbostock/d3/wiki/Gallery

– Open Street Maps APIhttp://www.openstreetmap.org/ (Drupal integration?)

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Strategy

– Implement geographic map-based visualizations with appropriate amount of information at different zoom factors.

– At high level of granularity link data points on map to bar charts / reports for more detail.

– Analyze data visualizations for patterns.

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Thank you!

Q&A