Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Which is better for presenting your data: table or graph?

Li Zhang1, Xian-lan Fu

  • 1Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.

Journal of Zhejiang University. Science
|August 24, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Restoring warped document images through 3D shape modeling.

IEEE transactions on pattern analysis and machine intelligence·2006
Same author

Lamivudine prophylaxis reduces the incidence and severity of hepatitis in hepatitis B virus carriers who receive chemotherapy for lymphoma.

Cancer·2006
Same author

Monoclinic structured BiVO4 nanosheets: hydrothermal preparation, formation mechanism, and coloristic and photocatalytic properties.

The journal of physical chemistry. B·2006
Same author

Influence of an amide group in methyl octadecanoates on the monolayer stability.

Langmuir : the ACS journal of surfaces and colloids·2006
Same author

The co-existence of two growth hormone receptors in teleost fish and their differential signal transduction, tissue distribution and hormonal regulation of expression in seabream.

Journal of molecular endocrinology·2006
Same author

Proteomic profiling of regionalized proteins in rat epididymis indicates consistency between specialized distribution and protein functions.

Journal of proteome research·2006
Same journal

Enhancing the quality metric of protein microarray image.

Journal of Zhejiang University. Science·2004
Same journal

Mathematical modeling of salt-gradient ion-exchange simulated moving bed chromatography for protein separations.

Journal of Zhejiang University. Science·2004
Same journal

Characterization of cellulose acetate micropore membrane immobilized acylase I.

Journal of Zhejiang University. Science·2004
Same journal

Research on the rheological properties of pesticide suspension concentrate.

Journal of Zhejiang University. Science·2004
Same journal

Ant colony system algorithm for the optimization of beer fermentation control.

Journal of Zhejiang University. Science·2004
Same journal

Scale-up of rifamycin B fermentation with Amycolatoposis mediterranei.

Journal of Zhejiang University. Science·2004
See all related articles

People perceive tables and graphs differently, with varying preferences for data types. This study surveyed 195 university teachers and undergraduates in Beijing to understand these perceptions of data visualization.

Area of Science:

  • Data visualization
  • Human-computer interaction
  • Cognitive science

Background:

  • Tables and graphs are common data display methods.
  • Understanding user perception is crucial for effective data visualization.
  • Previous research has explored data visualization effectiveness, but user perception of specific characteristics requires further investigation.

Purpose of the Study:

  • To investigate the perceived characteristics of tables versus graphs.
  • To determine the data types considered most appropriate for each display format.
  • To understand differing attitudes towards tables and graphs in data presentation.

Main Methods:

  • A survey was conducted among 195 participants.
  • Participants included teachers and undergraduates from four Beijing universities.

Related Experiment Videos

  • The survey focused on perceptions of table and graph characteristics and data type suitability.
  • Main Results:

    • Significant differences were found in how people perceive tables and graphs.
    • Participant preferences varied regarding the suitability of data types for each display format.
    • Attitudes towards tables and graphs differed among the surveyed population.

    Conclusions:

    • Perception of data visualization characteristics is not uniform.
    • Tailoring display formats to specific data types and user perceptions can enhance data communication.
    • Further research is needed to explore the nuances of data visualization preferences across diverse populations.