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      • 2022-10-12 Open-Source Data Analytics via Dune Spellbook (Prerequisites)
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      • 2022-02-10 Exploring Terra Data with Flipside Crypto
      • 2022-01-27 Dune Analytics and NFTs
  • Analyst Resources
    • Analytics Challenge FAQ
    • Tips for an Impactful Analytics Dashboard
      • Dos
        • 1. Do: Decide on the broad type of dashboard
        • 2. Do: Get clear on your audience(s)
        • 3. Do: Define and deliver on your purpose
        • 4. Do: Communicate your Big Idea
        • 5. Do: Establish a logical structure
        • 6. Do: Define key metrics
        • 7. Do: Maximize the signal-to-noise ratio
        • 8. Do: Use best practices for visuals
        • 9. Do: Ask for feedback
      • Don'ts
        • 10. Don’t: Disregard your audience’s knowledge
        • 11. Don’t: Go too technical in the methodology
        • 12. Don’t: Overwhelm with charts
        • 13. Don’t: Overwhelm with text
        • 14. Don’t: Submit without proofreading
      • Extras
      • Closing Thoughts
      • Resources
    • Evaluation Criteria
    • Analyst Resources
  • Reviewer Resources
    • Reviewer Basics
    • Providing Effective Feedback
  • Extras
    • Experiments
    • Useful Links
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  1. Analyst Resources
  2. Tips for an Impactful Analytics Dashboard

Resources

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  • Bueltge, Frank. “The 8 best JavaScript data visualization libraries 2023.” Hello World.

  • 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.

  • Flipside 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.

  • Pine2rambling. “Tips to produce a great dashboard”. MetricsDAO Discord.

  • Ricks, Elizabeth. “What is a pie chart?” Storytelling with Data Blog.

  • Storytelling with Data. “Choose an effective visual with the SWD Chart Guide”. Storytelling with Data Blog.

  • “Streamlit Documentation.” Streamlit.

  • Top R Libraries for Data Visualization in 2020. Geeks for Geeks.

  • Tufte, Edward R. The Visual Display of Quantitative Information, 2nd edition. Cheshire, CT: Graphics Press. 2001.

https://frankbueltge.de/best-javascript-data-visualization-libraries/
https://docs.flipsidecrypto.com/our-app/app-walkthrough
https://docs.flipsidecrypto.com/our-app/markdown-reference
https://mode.com/blog/python-data-visualization-libraries/
https://discord.com/channels/902943676685230100/903386079955128412/1073618483134349404
https://www.storytellingwithdata.com/blog/2020/5/14/what-is-a-pie-chart
https://www.storytellingwithdata.com/chart-guide
https://docs.streamlit.io/
https://www.geeksforgeeks.org/top-r-libraries-for-data-visualization-in-2020/