About

LineUp is an interactive technique designed to create, visualize and explore rankings of items based on a set of heterogeneous attributes.

Key Features

• scalable (~1M rows)
• heterogenous attribute types (string, numerical, categorical, boolean, date)
• composite column types (weighted sum, min, max, mean, median, impose, nested, …)
• array (multi value) and map column types (strings, stringMap, numbers, numberMap, …)
• filtering capabilities
• hierarchical sorting (sort by more than one sorting criteria)
• hierarchical grouping (split rows in multiple separate groups)
• group aggregations (show a whole group as a single group row)
• numerous visualizations for summaries, cells, and group aggregations
• side panel for easy filtering and column management

Supported Browsers

• last 2 Chrome versions (best performance)
• last 2 Edge versions (best performance)
• last 2 Firefox versions
• Firefox [Extended Support Release](https://www.mozilla.org/en-US/firefox/enterprise/) (ESR)
• Edge 18

Related Publications

LineUp: Visual Analysis of Multi-Attribute Rankings Paper Paper Website

Samuel Gratzl, Alexander Lex, Nils Gehlenborg, Hanspeter Pfister, and Marc Streit
IEEE Transactions on Visualization and Computer Graphics (InfoVis ‘13), 19(12), pp. 2277–2286, doi:10.1109/TVCG.2013.173, 2013.

IEEE VIS InfoVis 2013 Best Paper Award

Taggle: Scalable Visualization of Tabular Data through Aggregation Paper Preprint Paper Website

Katarina Furmanova, Samuel Gratzl, Holger Stitz, Thomas Zichner, Miroslava Jaresova, Martin Ennemoser, Alexander Lex, and Marc Streit
Information Visualization, 19(2): 114-136, doi:10.1177/1473871619878085, 2019.

Authors

• Samuel Gratzl

  https://github.com/sgratzl

• Holger Stitz

  http://holgerstitz.de

• The Caleydo Team

  http://caleydo.org"

• Datavisyn GmbH

  http://datavisyn.io

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This repository was created as part of the The Caleydo Project.