{"id":791,"date":"2016-12-05T16:11:52","date_gmt":"2016-12-05T21:11:52","guid":{"rendered":"http:\/\/data-services.hosting.nyu.edu\/?p=791"},"modified":"2016-12-05T16:12:54","modified_gmt":"2016-12-05T21:12:54","slug":"ftwla-plotcon2016","status":"publish","type":"post","link":"https:\/\/data-services.hosting.nyu.edu\/ftwla-plotcon2016\/","title":{"rendered":"Five Things We Learned At . . . PLOTCON 2016"},"content":{"rendered":"

\"PLOTCONThe “most visionary conference for data visualization in scientific computing, finance, business, and journalism,” PLOTCON took place for the first time in NYC 15-19 November 2016. The conference hosted data scientists, engineers, programmers, journalists, and business analysts versed in Python, R, Julia, D3.js, Plot.ly, Tableau, and many more. The main focus was dissemination of best practices in data visualization and exposure to some of the cutting edge technology and solutions.<\/p>\n

Here are five things we learned at PLOTCON:<\/p>\n

    \n
  1. Good Viz Works<\/a>.<\/li>\n
  2. We can try to illustrate uncertainty in the data using animation<\/a>.<\/li>\n
  3. We should use perceptually uniform colormaps<\/a>.<\/li>\n
  4. When to use what visualization, with examples<\/a>.<\/li>\n
  5. “Tip of the iceberg” of HIPAA violations: we know about a lot less than is actually happening<\/a>.<\/li>\n<\/ol>\n

    (Links are to the actual talks, highly recommended to watch at 1.5 speed: Settings –> Speed)<\/p>\n

    The complete list of talks can be found here:\u00a0https:\/\/www.youtube.com\/user\/plotlygraph<\/a><\/p>\n

    The slides will be available on Slideshare<\/a> early next week.<\/p>\n

    —————————-<\/p>\n

    Bonus takeaways from PLOTCON:<\/p>\n

    Data Management:<\/p>\n