Data visualization is a method of presenting data in graphical form, to ease and to better understand the data. It is easier to figure out trends and patterns through data visualization. Simple examples would include pie charts, bar charts, line graphs, etc.
We use visualizations both to discover new information and to share it with others. Data visualizations can:
The selection of a proper visualization is one of the most important steps in the data visualization process. This selection depends on the data and the expected output. As such, it is necessary to understand the different types of visualizations that exist, to be able to choose the appropriate type. Given below are few resources that you can refer to:
Batt, S., Grealis, T., Harmon, O., & Tomolonis, P. (2020). Learning Tableau: A data visualization tool. The Journal of Economic Education, 51(3–4), 317–328. https://doi.org/10.1080/00220485.2020.1804503
Coleman, A., Bose, A., & Mitra, S. (2023). Metagenomics Data Visualization Using R. Metagenomic Data Analysis, 2649, 359–392. https://doi.org/10.1007/978-1-0716-3072-3_19
Grömping, U. (2022). Pro Data Visualization Using R and JavaScript : Analyze and Visualize Key Data on the Web. Journal of Statistical Software, 102(Book Review 1), 1–4. https://doi.org/10.18637/jss.v102.b01
Janvrin, D. J., Raschke, R. L., & Dilla, W. N. (2014). Making sense of complex data using interactive data visualization. Journal of Accounting Education, 32(4), 31–48. https://doi.org/10.1016/j.jaccedu.2014.09.003
Laurent, A., Lyu, X., Kyveryga, P., Makowski, D., Hofmann, H., & Miguez, F. (2021). Interactive Web‐based Data Visualization and Analysis Tool for Synthetizing on‐farm Research Networks Data. Research Synthesis Methods, 12(1), 62–73. https://doi.org/10.1002/jrsm.1440
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Beautiful Evidence by
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Hands-On Data Visualization by
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The guide was updated by William Borkgren, Scholars Lab Graduate Assistant in Fall 2024.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 Generic License.