Skip to content
/ LQ2 Public

LQ2: Learning to Automate Chart Layout Configurations Using Crowdsourced Paired Comparison (CHI2021)

License

Notifications You must be signed in to change notification settings

shellywhen/LQ2

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Layout Quality Quantifier (LQ2)

The repository provides supplementary materials for ACM-SIGCHI 2021 submission: Learning to Automate Chart Layout Configurations Using Crowdsourced Paired Comparison.

Getting Started

Our code is run in the Python 3 environment. In particular, some rely on Jupiter Notebook. You might need to use python3 or pip3 depending on your configurations.

cd LQ2
pip3 install -r requirements.txt

Overview

  • src: source code for the ranking network and the baseline approaches
  • dataset: the dataset used in MTurk studies
    • You may directly download the entire vega-lite json specifications, the corresponding images, and the graphical features from the baseline [Google Drive].
  • mturk: code for generating MTurk charts and analyzing results
  • user-study: evaluate the application (compared with Human, Default, and Random)

About

LQ2: Learning to Automate Chart Layout Configurations Using Crowdsourced Paired Comparison (CHI2021)

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published