SOCR HTML5 MotionCharts
Contents
SOCR Project - SOCR HTML5 MotionCharts
Background
The amount, complexity and provenance of data have dramatically increased in the past five years. Visualization of observed and simulated data is a critical component of any social, environmental, biomedical or scientific quest. The SOCR HTML5 MotionCharts provide a platform agnostic and interactive infrastructure for discovery-based exploratory analysis of multivariate data. This dynamic data visualization tool enables the displaying of high-dimensional longitudinal data. SOCR MotionCharts allows mapping of ordinal, nominal and quantitative variables onto time, 2D axes, size, colors, glyphs and appearance characteristics, which facilitates the interactive display of multidimensional data.
Usage
TBD
Activities
TBD
Social networking/sharing
The HTML5 MotionChart should allow users that have online data to share their entire web-app state (in playable format) with any other user using unique URL's. For example:
This unique URL motion-chart play format uses the following components:
- Main Applet URL: http://SOCR.ucla.edu/htmls/HTML5/MotionChart/
- PHP script that harvests the tabular data from URL: File:Jnlp writer php.zip (MotionChart.php)
- Reference to an online Dataset (tabular format required): ?http://wiki.stat.ucla.edu/socr/index.php/SOCR_Data_Dinov_010309_HousingPriceIndex
- Variable Mapping Syntax: &key=year&x=HPI&y=UR&size=pop&color=region&category=State
- Load-only or Play action: &play=true
See this example using similar invocation protocol for the Pipeline environment (http://ucla.in/xIL1E8).
See also
- Usage Documentation and Code Documentation
- SOCR HTML5 MotionCharts Development Page
- SOCR (Java) MotionCharts Activities
- SOCR MotionCharts Wiki Page
- SOCR MotionCharts Web-based (Java) Applet
- Videos
References
- Dinov, ID, Christou, N. (2011) Web-based tools for modelling and analysis of multivariate data: California ozone pollution activity, International Journal of Mathematical Education in Science and Technology (JMEST), 42(6):789-805, DOI: 10.1080/0020739X.2011.562315.
- Al-Aziz, J, Christou, N, Dinov, ID. (2010). SOCR Motion Charts: An Efficient, Open-Source, Interactive and Dynamic Applet for Visualizing Longitudinal Multivariate Data, JSE, 18(3), 1-29.
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