What are Table Cartograms Good for Anyway? An Algebraic Analysis

04/08/2021
by   Andrew McNutt, et al.
0

Unfamiliar or esoteric visual forms arise in many areas of visualization. While such forms can be intriguing, it can be unclear how to make effective use of them without long periods of practice or costly user studies. In this work we analyze the table cartogram-a graphic which visualizes tabular data by bringing the areas of a grid of quadrilaterals into correspondence with the input data, like a heat map that has been "area-ed" rather than colored. Despite having existed for several years, little is known about its appropriate usage. We mend this gap by using Algebraic Visualization Design to show that they are best suited to relatively small tables with ordinal axes for some comparison and outlier identification tasks. In doing so we demonstrate a discount theory-based analysis that can be used to cheaply determine best practices for unknown visualizations.

READ FULL TEXT

page 5

page 6

page 7

page 8

page 15

page 16

research
09/25/2017

Data and Task Based Effectiveness of Basic Visualizations

Visualizations of tabular data are widely used; understanding their effe...
research
09/25/2017

Task Based Effectiveness of Basic Visualizations

Visualizations of tabular data are widely used; understanding their effe...
research
12/16/2017

Taggle: Scalable Visualization of Tabular Data through Aggregation

Visualization of tabular data---for both presentation and exploration pu...
research
08/06/2023

Visualization of Extremely Sparse Contingency Table by Taxicab Correspondence Analysis: A Case Study of Textual Data

We present an overview of taxicab correspondence analysis, a robust vari...
research
10/10/2013

Composing DTI Visualizations with End-user Programming

We present the design and prototype implementation of a scientific visua...
research
05/02/2019

Learning Algebraic Structures: Preliminary Investigations

We employ techniques of machine-learning, exemplified by support vector ...
research
09/04/2020

Table Scraps: An Actionable Framework for Multi-Table Data Wrangling From An Artifact Study of Computational Journalism

For the many journalists who use data and computation to report the news...

Please sign up or login with your details

Forgot password? Click here to reset