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Modern Data Visualization @ ThatConference

Avatar for Ash Dzick Ash Dzick
August 07, 2019

Modern Data Visualization @ ThatConference

Avatar for Ash Dzick

Ash Dzick

August 07, 2019
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  1. agenda brief overview best practices tools to get started 


    after the session: •find me in person •email me: [email protected] •tweet me: @ashleydzick
  2. best practices 1. don’t make humans remember stuff 2. humans

    are bad at approximating area 3. convey meaning with more than color 4. think beyond static 5. give them a story to follow
  3. In no order.. • ColorBox • ColorBrewer • Adobe Color

    • Colormind • Chroma.js • Colorgorical • Plus dozens others
  4. Flourish Web based Fairly easy to pick up Free (Paid

    option available) Excel upload Check out:
 flourish.studio
  5. Tableau Little to no programming Fairly easy to pick up

    Connect to most data sources Expensive
  6. R Leader in data visualization Favored in academia Great for

    statistic learning and predictive analytics Check out:
 ggplot2, htmlwidgets, Leaflet
  7. Python Huge community Incredibly customizable Similar syntax to other languages

    Great for machine learning Check out:
 Matplotlib, pandas, bokeh
  8. Which should I use? Fast one-off visualization: Flourish Don’t want

    to code: Tableau, PowerBI Software Engineering: Python Academia: R Machine Learning: Python Statistical Modeling: R
  9. reading • The Functional Art — Alberto Cairo • Visual

    Display of Quantitative Information — Edward Tufte • Design for Information — Isabel Meirelles • Storytelling with Data — Cole Nussbaumer Knaflic • Presenting Data People Can’t Ignore - Hubspot eBook
  10. more visualizations to check out 1. How 2 M.T.A. Decisions

    Pushed the Subway Into Crisis
 Great use of SVGs and CSS3 to make incredibly fast “animated” visualizations 2. What’s Your Major? 4 Decades of College Degrees, in 1 Graph
 Simple graph with powerful story 3. Why Budapest, Warsaw, and Lithuania Split Themselves in Two
 Good use of colors and animation, uses multiple visualizations to tell the story 4. Trucks and Beer
 Analysis of country music with good use of static graphs