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How to effectively use interactivity with interactive data visualization on groups with different literacy levels
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| 2.04 MB | Adobe PDF |
Orientador(es)
Resumo(s)
Open data can be used as an empowering tool to society; however, it is not usually accessible to the general audience. This difficulty tends to increase as users lack data literacy. Interactive data visualization is a solution to provide clearer information, enhancing understanding and engagement. This study aims to develop interactive visualizations with open data to understand how to effectively communicate a message. The prototype was created with Microsoft Power BI and the database was developed by The World Bank. This work contributed with a methodology to evaluate literacy and to evaluate the prototype with quantitative and qualitative metrics. ANOVA single factor tests pointed statistically significant differences between groups regarding accuracy, complexity, and comprehension. This suggests that data literacy should be considered when creating visualizations, and projects as DATALIT are essential to enhance users’ literacy. Both groups agreed that the best visualizations were the bar, line and pie charts, and the choropleth map was well accepted. The least preferred visualization and the most complex was the bubble chart. Non-Experient users found the elements a little more complex. Both groups worked well with filters and slicers, and tooltips had a good acceptance. Groups considered animation the worst component. When the interaction was not described in the text, the Non-Experient group had more difficult in discovering it. Participants showed average good results in all measures, thus Microsoft Power BI is a useful tool to create effective interactive visualizations for different groups. The results from this work will allow organizations to understand how to adapt their visualizations to different audiences and the importance of data literacy skills.
Descrição
Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
Palavras-chave
Data Visualization Open Data Interaction Data Literacy Interactive Visualization