Abstract
Visualizing data has been well known and widely used to facilitate better understanding of data. Using the right type of visualization enables people to interpret data in a more accurate and correct way and would support decision makers in taking the right decisions. Many researchers have proposed the best types of charts and graphs to visualize data. They recommend certain types of charts based on the data type and the purpose of the visualization. However and up to our knowledge, there has not been studies which would experiment the righteous of such selection of the visualization charts. The main purpose of this research is to survey a large group of people to study the effect of selecting certain chart types on people’s comprehension of the visualized data. We conduct a user study to validate the theoretical assumptions on the selection of the best chart types. We evaluated the use of column chart to visualize categorical single variable data and line chart to visualize temporal data against other charts. We analyzed the user study participants’ performance according to their response time, accuracy of the results and overall satisfaction.
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We would like to acknowledge the Artificial Intelligence and Data Analytics (AIDA) Lab, Prince Sultan University, Riyadh, Saudi Arabia for supporting this work.
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Shaheen, S.M., Alhalawani, S., Alnabet, N., Alhenaki, D. (2019). Analytical Experiments on the Utilization of Data Visualizations. In: Alfaries, A., Mengash, H., Yasar, A., Shakshuki, E. (eds) Advances in Data Science, Cyber Security and IT Applications. ICC 2019. Communications in Computer and Information Science, vol 1097. Springer, Cham. https://doi.org/10.1007/978-3-030-36365-9_12
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