{"version":"1.2.0","chapters":[{"startTime":0,"title":"Start"},{"startTime":115.666,"title":"Enrico & Moritz catch up"},{"startTime":222.781,"title":"Santiago Ortiz","url":"http:\/\/moebio.com\/"},{"startTime":490.183,"title":"\"Not an artist\""},{"startTime":695.516,"title":"Lostalgic","url":"http:\/\/intuitionanalytics.com\/other\/lostalgic\/"},{"startTime":841.661,"title":"An iterative approach"},{"startTime":1136.563,"title":"Beyond data visualization to data strategy"},{"startTime":1271.495,"title":"Learning domain-specific lingo & knowledge"},{"startTime":1711.936,"title":"Our sponsor: Tableau","url":"http:\/\/tableausoftware.com\/datastories"},{"startTime":1875.218,"title":"Misconceptions"},{"startTime":2353.453,"title":"Visualization is not the primary interest"},{"startTime":2571.163,"title":"What\u2019s missing from visualization debates","url":"http:\/\/www.philsimon.com\/books\/the-visual-organization\/"},{"startTime":2685.718,"title":"Documenting evaluation and actual use","url":"http:\/\/www.cs.ubc.ca\/group\/infovis\/resources.shtml"},{"startTime":2981.631,"title":"Design studies & measuring impact"},{"startTime":3107.663,"title":"Relation between data vis and data science"},{"startTime":3298.52,"title":"Using machine language models for understanding: decision tree"},{"startTime":3722.131,"title":"How to learn more about data science"},{"startTime":3796.188,"title":"Reading: Data Science for Business","url":"http:\/\/www.amazon.com\/Data-Science-Business-data-analytic-thinking\/dp\/1449361323"},{"startTime":3868.62,"title":"Reading: Python for Data Analysis","url":"http:\/\/shop.oreilly.com\/product\/0636920023784.do"},{"startTime":3902.87,"title":"Reading: Programming Collective Intelligence","url":"http:\/\/shop.oreilly.com\/product\/9780596529321.do"},{"startTime":4057.968,"title":"Machine language models: explantion, exploration and prediction,"},{"startTime":4161.166,"title":"Wrap up"}]}