Publikation:

Line Graph or Scatter Plot? : Automatic Selection of Methods for Visualizing Trends in Time Series

Lade...
Vorschaubild

Dateien

Zu diesem Dokument gibt es keine Dateien.

Datum

2018

Autor:innen

Wang, Yunhai
Han, Fubo
Zhu, Lifeng
Chen, Baoquan

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

URI (zitierfähiger Link)
ArXiv-ID

Internationale Patentnummer

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published

Erschienen in

IEEE Transactions on Visualization and Computer Graphics. 2018, 24(2), pp. 1141-1154. ISSN 1077-2626. eISSN 1941-0506. Available under: doi: 10.1109/TVCG.2017.2653106

Zusammenfassung

Line graphs are usually considered to be the best choice for visualizing time series data, whereas sometimes also scatter plots are used for showing main trends. So far there are no guidelines that indicate which of these visualization methods better display trends in time series for a given canvas. Assuming that the main information in a time series is its overall trend, we propose an algorithm that automatically picks the visualization method that reveals this trend best. This is achieved by measuring the visual consistency between the trend curve represented by a LOESS fit and the trend described by a scatter plot or a line graph. To measure the consistency between our algorithm and user choices, we performed an empirical study with a series of controlled experiments that show a large correspondence. In a factor analysis we furthermore demonstrate that various visual and data factors have effects on the preference for a certain type of visualization.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Market research, Time series analysis, Data visualization, Visualization, Bandwidth, Kernel, Estimation

Konferenz

Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690WANG, Yunhai, Fubo HAN, Lifeng ZHU, Oliver DEUSSEN, Baoquan CHEN, 2018. Line Graph or Scatter Plot? : Automatic Selection of Methods for Visualizing Trends in Time Series. In: IEEE Transactions on Visualization and Computer Graphics. 2018, 24(2), pp. 1141-1154. ISSN 1077-2626. eISSN 1941-0506. Available under: doi: 10.1109/TVCG.2017.2653106
BibTex
@article{Wang2018-02-01Graph-38549,
  year={2018},
  doi={10.1109/TVCG.2017.2653106},
  title={Line Graph or Scatter Plot? : Automatic Selection of Methods for Visualizing Trends in Time Series},
  number={2},
  volume={24},
  issn={1077-2626},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  pages={1141--1154},
  author={Wang, Yunhai and Han, Fubo and Zhu, Lifeng and Deussen, Oliver and Chen, Baoquan}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/38549">
    <dc:creator>Zhu, Lifeng</dc:creator>
    <dcterms:issued>2018-02-01</dcterms:issued>
    <dcterms:abstract xml:lang="eng">Line graphs are usually considered to be the best choice for visualizing time series data, whereas sometimes also scatter plots are used for showing main trends. So far there are no guidelines that indicate which of these visualization methods better display trends in time series for a given canvas. Assuming that the main information in a time series is its overall trend, we propose an algorithm that automatically picks the visualization method that reveals this trend best. This is achieved by measuring the visual consistency between the trend curve represented by a LOESS fit and the trend described by a scatter plot or a line graph. To measure the consistency between our algorithm and user choices, we performed an empirical study with a series of controlled experiments that show a large correspondence. In a factor analysis we furthermore demonstrate that various visual and data factors have effects on the preference for a certain type of visualization.</dcterms:abstract>
    <dc:contributor>Wang, Yunhai</dc:contributor>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:creator>Deussen, Oliver</dc:creator>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/38549"/>
    <dc:language>eng</dc:language>
    <dc:contributor>Han, Fubo</dc:contributor>
    <dc:contributor>Deussen, Oliver</dc:contributor>
    <dc:contributor>Zhu, Lifeng</dc:contributor>
    <dcterms:title>Line Graph or Scatter Plot? : Automatic Selection of Methods for Visualizing Trends in Time Series</dcterms:title>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-04-21T09:11:45Z</dcterms:available>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Chen, Baoquan</dc:contributor>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:creator>Chen, Baoquan</dc:creator>
    <dc:creator>Han, Fubo</dc:creator>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-04-21T09:11:45Z</dc:date>
    <dc:creator>Wang, Yunhai</dc:creator>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Ja
Diese Publikation teilen