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Modern Data Visualization, Presented @ OpenSourceNorth

Modern Data Visualization, Presented @ OpenSourceNorth

Big Data, IoT and now Machine Learning give us more data than ever before. We can find significant trends, influence the direction of a company, predict customer behaviors or even just guess if a photo is a cat or a dog. But what do you do with all of this data? We’ll walk through a few examples of both really good and really bad data visualizations, examine some data visualization practices that are still relevant today and discuss how animation, inclusive design and UX are shaping modern datavis.

Ash Dzick

May 22, 2019
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  1. the next 25 brief overview (5min) best practices (15min) tools

    to get started (5min) 
 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. 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
  5. 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