An empirical evaluation of 3D pie charts with individually extruded sectors in a geovisualization context
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Author / Producer
Date
2019
Publication Type
Dataset
ETH Bibliography
yes
Citations
Altmetric
Data
Rights / License
Abstract
The CSV files contain response accuracy and response times from 177 participants who completed a survey on the comparison of 2D pie and bar charts in adjacent map frames vs. 3D pie charts in a single map frame. The files were used as source data for the statistical analysis. Please see details on materials, procedure, etc. in the corresponding article: https://doi.org/10.1177/1473871619896103
Permanent link
Publication status
External links
Editor
Contributors
Contact person: Schnürer, Raimund
Data collector : Ritzi, Martin
Project leader : Cöltekin, Arzu
Project member : Sieber, René
Book title
Journal / series
Volume
Pages / Article No.
Publisher
ETH Zurich
Event
Edition / version
1.0
Methods
Software
LamaPoll
Geographic location
Date collected
2016
Date created
2016
Subject
2D; 3D; Pie charts; Bar charts; Maps; Performance measurement; Visual complexity; Learning
Organisational unit
02648 - Inst. f. Kartografie und Geoinformation / Institute of Cartography&Geoinformation
Notes
The following abbreviations are used in the headers of the attached CSV files:
id = id of participant;
group = group the participant was assigned to (1 = Group A, 2 = Group B); s = response accuracy (0 = fail, 1 = success); t = response time (in seconds); t1, t2, t3, t4 = Task 1* (i.e., proportion), Task 2* (i.e., highest magnitude), Task 3 (i.e., combination), Task 4 (i.e., map-related); k1, k2, k3 = different maps (k1 = blank background, k2 = lines background, k3 = choropleth background); 2d, 3d = 2D pie and bar chart(s) in adjacent map frames, 3D pie chart(s) in single map frame; pie, bar = pie chart in single map frame, bar chart in single map frame; t4a, t4b, t4c = different questions in Task 4;
* the first two tasks have been swapped in the article (see its URL in the abstract)
Funding
Related publications and datasets
Is supplement to: http://hdl.handle.net/20.500.11850/396494