https://github.com/uwdata/visual-encoding-effectiveness-data
Supplement material for "Assessing Effects of Task and Data Distribution on the Effectiveness of Visual Encodings".
https://github.com/uwdata/visual-encoding-effectiveness-data
Last synced: 3 months ago
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Supplement material for "Assessing Effects of Task and Data Distribution on the Effectiveness of Visual Encodings".
- Host: GitHub
- URL: https://github.com/uwdata/visual-encoding-effectiveness-data
- Owner: uwdata
- Created: 2018-03-08T19:32:34.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-03-06T21:42:51.000Z (over 6 years ago)
- Last Synced: 2025-03-23T04:11:29.071Z (3 months ago)
- Language: JavaScript
- Size: 14.8 MB
- Stars: 13
- Watchers: 9
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Assessing Effects of Task and Data Distribution on the Effectiveness of Visual Encodings
This repository contains the supplement material for "Assessing Effects of Task and Data Distribution on the Effectiveness of Visual Encodings"([paper](http://idl.cs.washington.edu/papers/task-data-effectiveness)), submitted to EuroVis 2018.
## Content
- study _ui : Screenshots of the user study interfaces.
- stimuli : Html file that loading experiment stimuli.
- responses : .csv file of user responses we used in our analysis.
- analysis :
- R scripts for linear mixed effect model analysis and its post-hoc tests.
- Javascript code file for calculating bootstrapped means, 95% confidence intervals in a manner sensitive to a within-subjects design.## Main Result
#### Bootstrapped means and 95% confidence intervals


#### The effectiveness rankings of encodings

## Cite us!
If you use our data in published research, please cite [our EuroVis'18 paper](http://idl.cs.washington.edu/papers/task-data-effectiveness/):Younghoon Kim, Jeffrey Heer. Assessing Effects of Task and Data Distribution on the Effectiveness of Visual Encodings, Computer Graphics Forum (Proc. EuroVis), 2018.