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Hooper, L. (2019). Tips and tools for visualizing qualitative data [blog]. http://lydiahooper.com/blog/visualizing-qualitative-data
Radečić, D. (2022). 5 key data visualization principles explained - examples in R [blog]. R-bloggers. https://www.r-bloggers.com/2022/05/5-key-data-visualization-principles-explained-examples-in-r/
Rougier, N.P., Droettboom, M., & Bourne, P.E. (2014). Ten simple rules for better figures. PLoS Comput Biol 10(9): e1003833. https://doi.org/10.1371/journal.pcbi.1003833
Schwabish, J. & Feng, A. (2021). Do no harm guide: Applying equity awareness in data visualization [research report]. Urban Institute. https://urban.org/research/publication/do-no-harm-guide-applying-equity-awareness
Feeling like you can't achieve your data visualization dreams? You're not alone. Check out this fun Tumblr blog showcasing R visualizations that didn't come out as expected. Visualization is an iterative process — it's okay to learn as you go!
To create data visualizations in spreadsheet programs such as Excel and Sheets, see the documentation below:
Python has many libraries that you can install and use to visualize data. A few of the most popular ones include: