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 - PowerPoint PPT Presentation

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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

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Title: 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


1
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
2
Outline
3
Motivation / Background
4
OSPI RTI Reports
5
OSPI SNP Reports
6
Collect, Analyze, Share Data
BIG DATA IN SPECIAL ED
7
Data Visualization Goals
8
Data Visualization Goals
Lincoln County No. of Participants Trained
X No. of Responses Rcvd X Population Density
Y Number of Trainings Z Go to Results
9
Data Visualization Goals
10
Data Visualization Goals
Tahoma School District ESD No.17409 Go to
Results
11
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?

12
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?

13
Tools
  • Drupal CMS (already in-place)
  • Google Maps API Gmap module to create an
    interface to the Google Maps API within
    Drupal http//drupal.org/project/gmap
  • D3.JS (Data Driven Documents) visualizations such
    as Heat Maps, Chloropleth Maps, Bar charts, Pie
    charts https//github.com/mbostock/d3/wiki/Gallery
  • Open Street Maps API http//www.openstreetmap.org/
    (Drupal integration?)

14
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.

15
  • Thank you!
  • QA
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