Day 143 of 180 Days of Data Viz Learning #jfdi

I’m doing some form of data visualization learning for 180 days because I need to #JFDI.

See post explaining how and why I’m doing this.

DIY “Medium Data” Analysis: NYC Taxi Trips and Beyond Meetup

Three Takeaways:

  • Round out lats and longs for quicker processing
  • Rpostgressql very helpful is letting you query Postgres in R – basically letting all the best tools do best work -> then use ggplot for map analysis + visuals
  • Questions you ask are usually more important than methods you use to answer them

The Functional Art: An Introduction to Information Graphics and Visualization by Alberto Cairo

p 230-244 Information Art

Three Takeaways

  • It might be prudent for you to be juggling 5-6 projects at a time rather than focusing and banging your head on one, looking at the workflow of the nat geo profile in this chapter p 232
  • “Good illustrated graphics, in addition to being often the best way to tell a story, show enormous amount of data.  They just display it differently than a quantitative data visualization.  Our illustrations are not just nice-looking drawings, but accurate depictions of reality, with thousands of very precise data points” p 238
  • Good visualizations or information art can take weeks of research, planning, and data loading with a lot of ending up on the cutting room floor.  *Don’t be discouraged you haven’t made a bunch of stuff yet* p 244

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