# Resources

* Bueltge, Frank. “The 8 best JavaScript data visualization libraries 2023.” *Hello World*. <https://frankbueltge.de/best-javascript-data-visualization-libraries/>
* Few, Stephen C. *Information Dashboard Design: Displaying Data for At-a-glance Monitoring*. El Dorado Hills, CA: Analytics Press. 2013.
* Flipside New Data App Walkthrough. <https://docs.flipsidecrypto.com/our-app/app-walkthrough>
* Flipside Markdown Reference. <https://docs.flipsidecrypto.com/our-app/markdown-reference>
* Knaflic, Cole Nussbaumer. *Storytelling with Data*. Hoboken, NJ: John Wiley & Sons, 2015.
* Bierly, Melissa. “12 Python Data Visualization Libraries to Explore for Business Analysis.” *Mode*. <https://mode.com/blog/python-data-visualization-libraries/>
* Pine2rambling. “Tips to produce a great dashboard”. *MetricsDAO Discord*. <https://discord.com/channels/902943676685230100/903386079955128412/1073618483134349404>
* Ricks, Elizabeth. “What is a pie chart?” *Storytelling with Data Blog*. <https://www.storytellingwithdata.com/blog/2020/5/14/what-is-a-pie-chart>
* Storytelling with Data. “Choose an effective visual with the SWD Chart Guide”. *Storytelling with Data Blog*. <https://www.storytellingwithdata.com/chart-guide>
* “Streamlit Documentation.” *Streamlit*. <https://docs.streamlit.io/>
* Top R Libraries for Data Visualization in 2020. *Geeks for Geeks.* <https://www.geeksforgeeks.org/top-r-libraries-for-data-visualization-in-2020/>
* Tufte, Edward R. *The Visual Display of Quantitative Information*, 2nd edition. Cheshire, CT: Graphics Press. 2001.


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