An empirical evaluation of 3D pie charts with individually extruded sectors in a geovisualization context
dc.contributor.author
Ritzi, Martin
dc.contributor.author
Schnürer, Raimund
dc.contributor.contactPerson
Schnürer, Raimund
dc.contributor.dataCollector
Ritzi, Martin
dc.contributor.projectLeader
Cöltekin, Arzu
dc.contributor.projectMember
Sieber, René
dc.date.accessioned
2020-05-19T12:34:21Z
dc.date.available
2019-09-26T17:46:20Z
dc.date.available
2019-09-27T06:11:41Z
dc.date.available
2020-05-19T12:34:21Z
dc.date.created
2016
en_US
dc.date.issued
2019
dc.identifier.uri
http://hdl.handle.net/20.500.11850/366850
dc.identifier.doi
10.3929/ethz-b-000366850
dc.description.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
en_US
dc.format
text/csv
en_US
dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
2D
en_US
dc.subject
3D
en_US
dc.subject
Pie charts
en_US
dc.subject
Bar charts
en_US
dc.subject
Maps
en_US
dc.subject
Performance measurement
en_US
dc.subject
Visual complexity
en_US
dc.subject
Learning
en_US
dc.title
An empirical evaluation of 3D pie charts with individually extruded sectors in a geovisualization context
en_US
dc.type
Dataset
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.size
45.28 kB
en_US
ethz.version.edition
1.0
en_US
ethz.date.collected
2016
en_US
ethz.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)
en_US
ethz.publication.place
Zurich
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02648 - Inst. f. Kartografie und Geoinformation / Institute of Cartography&Geoinformation
en_US
ethz.date.retentionend
indefinite
en_US
ethz.date.retentionendDate
n/a
ethz.relation.isSupplementTo
handle/20.500.11850/396494
ethz.date.deposited
2019-09-26T17:46:31Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.description.methods
Online survey
en_US
ethz.description.software
LamaPoll
en_US
ethz.rosetta.installDate
2019-09-27T06:12:04Z
ethz.rosetta.lastUpdated
2020-05-19T12:34:33Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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