Performance Challenges with Data Visualizations in Browser Environment
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Journal Title
Journal ISSN
Volume Title
Perustieteiden korkeakoulu |
Master's thesis
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Author
Date
2023-05-15
Department
Major/Subject
Computer Science
Mcode
SCI3042
Degree programme
Master’s Programme in Computer, Communication and Information Sciences
Language
en
Pages
35+17
Series
Abstract
Information exists in many forms, from text, to equations, videos, audio, and graphical mediums. With graphical or visual mediums, it is becoming easier to absorb information where the alternatives are textual descriptions. Graphs are important vehicles of transporting information. In order to create a good graph, certain attributes need to be taken into account, such as which variables are being displayed over which axis, visual elements, and their sizes are also important to consider. In modern times with the internet and the amount of data being generated, how can all this data be fitted into a single graph? That question is the motivation for this thesis. Presenting large data in visualizations involves a great deal of thought, effort, and ingenuity on how to proceed with what information to convey. There are times when obtaining data for such visualization come with their own challenges. This thesis investigates the obstacles facing an internal tool within a company in regard to their data retrieval method. As well as the objective to research an efficient and easy-to-use method for presenting large data on a webpage.Description
Supervisor
Vuorimaa, PetriThesis advisor
Suhonen, PekkaKeywords
large data, data visualizations, search after, scroll query, canvas, ElasticSearch
