Automated Data Visualizations – A Modular and Extensible Approach
Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Data analysis is an area that has evolved greatly in recent years where focus has been on the automation of many of its processes. Processes such as data extraction and data processing have been successfully automated using many different approaches but the process of automatically constructing informative data visualizations has not received the same attention. This thesis has been performed in cooperation with Scania AB. The purpose of the thesis is to examine how the data visualization process can be automated through the use of decision trees to convey integration test results. This was done by investigating Information Visualization principles, and developing a data analysis tool capable of performing both manual and automatic data visualization. The functionality of the tool was influenced by feedback received when conducting interviews with Scania employees experienced in data analysis, while information visualization principles were used as a basis when developing the expert system responsible for automatically generating charts. The thesis resulted in a working prototype, capable of automatically extracting, processing and visualizing data from Jira. The results of the thesis show that it is possible to automatically generate informative visualizations with the use of decision trees, and that the generated visualizations may be able to be effective at displaying integration test results.
Place, publisher, year, edition, pages
2015. , 31 p.
IdentifiersURN: urn:nbn:se:mdh:diva-29598OAI: oai:DiVA.org:mdh-29598DiVA: diva2:872984
Scania CV AB
Subject / course
Akan, Batu, Doctoral Student
Lindell, Rikard, Senior Lecturer