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Visualization of tabular data on mobile devices
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering.
2018 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesisAlternative title
Visualisering av tabulär data på mobila enheter (Swedish)
Abstract [en]

This thesis evaluates various ways of displaying tabular data on mobile devices using different responsive table solutions. It also presents a tool to help web developers and designers in the process of choosing and implementing a suitable table approach. The proposed solution for this thesis is a web system called The Visualizing Wizard that allows the user to answer some questions about the intended table and then get a recommended responsive table solution generated based on the answers. The system uses a rule-based approach via Prolog to match the answers to a set of rules and provide an appropriate result. In order to determine which table solutions are more appropriate to use for which type of data a statistical analysis and user tests were performed. The statistical analysis contains an investigation to identify the most common table approaches and data types used on various websites. The result indicates that solutions such as "squish", "collapse by rows", "click" and "scroll" are most common. The most common table categories are product comparison, product offerings, sports and stock market/statistics. This information was used to implement and establish user tests to collect feedback and opinions. The data and statistics gathered from the user tests were mapped into sets of rules to answer the question of which responsive table solution is more appropriate to use for which type of data. This serves as the foundation for The Visualizing Wizard.

Place, publisher, year, edition, pages
2018. , p. 92
Keywords [en]
Tabular data, Mobile, Vizualization, CSS, Table, Prolog, JavaScript, HTML, User Experience, Responsive table solution, HCI, UX, RWD, Responsive, Decision making, Rule based system, Golang, Golog, User test
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:ltu:diva-68036OAI: oai:DiVA.org:ltu-68036DiVA, id: diva2:1192596
External cooperation
Forefront Consulting
Subject / course
Student thesis, at least 30 credits
Educational program
Computer Science and Engineering, master's level
Supervisors
Examiners
Available from: 2018-04-06 Created: 2018-03-22 Last updated: 2018-04-06Bibliographically approved

Open Access in DiVA

fulltext(5580 kB)77 downloads
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Type fulltextMimetype application/pdf

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Caspár, Sophia
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf