Close
Metadata

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPEW34M/3U38PT8
Repositorysid.inpe.br/sibgrapi/2019/09.13.16.40
Last Update2019:09.13.16.40.49 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2019/09.13.16.40.49
Metadata Last Update2022:06.14.00.09.41 (UTC) administrator
DOI10.1109/SIBGRAPI.2019.00020
Citation KeyRodriguesBarbLopeBarb:2019:CoEfVi
TitleComparing the effectiveness of visualizations of different data distributions
FormatOn-line
Year2019
Access Date2024, Apr. 27
Number of Files1
Size498 KiB
2. Context
Author1 Rodrigues, Ariane Moraes Bueno
2 Barbosa, Gabriel Diniz Junqueira
3 Lopes, Hélio
4 Barbosa, Simone Diniz Junqueira
Affiliation1 PUC-Rio
2 PUC-Rio
3 PUC-Rio
4 PUC-Rio
EditorOliveira, Luciano Rebouças de
Sarder, Pinaki
Lage, Marcos
Sadlo, Filip
e-Mail Addressarianebueno@gmail.com
Conference NameConference on Graphics, Patterns and Images, 32 (SIBGRAPI)
Conference LocationRio de Janeiro, RJ, Brazil
Date28-31 Oct. 2019
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2019-09-13 16:40:49 :: arianebueno@gmail.com -> administrator ::
2022-06-14 00:09:41 :: administrator -> arianebueno@gmail.com :: 2019
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsinformation visualization
visualization tasks
AbstractThe effectiveness of a data visualization depends on several factors, such as the visual encoding of its elements, the analytical task it aims to support, the dimensionality of the data, and even the data distribution. In this work, we report an empirical evaluation of common data visualizations, focusing on how different data distributions affect their effectiveness and the level of confidence users have when answering questions related to certain analytical task types. The study allowed us to assess to what extent some data visualizations are more effective than others, regardless of data distribution. We conclude that data visualization creators and algorithms need to consider the data distribution when generating data visualizations. From the results, we also propose recommendations for choosing a visualization when dealing with data distribution issues.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2019 > Comparing the effectiveness...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Comparing the effectiveness...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 13/09/2019 13:40 1.2 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPEW34M/3U38PT8
zipped data URLhttp://urlib.net/zip/8JMKD3MGPEW34M/3U38PT8
Languageen
Target FileSIBGRAPI_2019___Ariane_Gabriel_H_lio_Simone.pdf
User Grouparianebueno@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/3UA4FNL
8JMKD3MGPEW34M/3UA4FPS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2019/10.25.18.30.33 4
sid.inpe.br/sibgrapi/2022/06.10.21.49 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume
7. Description control
e-Mail (login)arianebueno@gmail.com
update 


Close