PLOTCON NYC: New Data Viz in Data Journalism
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The document discusses a presentation on innovative data journalism by Matthew Conlen, highlighting issues in predictive modeling, polling accuracy, and the use of messy real-world data. It explores the importance of simulation in visualizing complex data and emphasizes the accessibility of boutique data collection for reporters. Additionally, a range of open-source tools for data journalism is provided, alongside reminders about the ethical implications of data representation.
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PLOTCON NYC: New Data Viz in Data Journalism
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- 2. New Data Vizin Data Journalism Matthew Conlen @mathisonian http://mathisonian.com
- 3. About Me ● Ph.D.student at University of Washington under Jeffrey Heer ○ Computer Science & Data Viz ● Working with FiveThirtyEight since their move to ESPN in 2013 ○ Computational Journalist
- 4. This Talk ● Walkthrough examples of innovative and successful data journalism pieces ● Show a range of useful open source tools for creating them
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- 9. Problems! ● Varying degreesof expertise in predictive modeling ● Numeracy issues ● Failure of polling, predictions, design, or understanding?
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- 23. Uncertainty ● As displayedby response to election graphics, lots of work to do here ● Real world data is often messy and imprecise. Especially when polling or sampling is involved.
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- 28. Simulation ● Great toolfor displaying complex mathematical processes ● Patterns are more important than equations ● Computation can be done in the client and visualized realtime
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- 33. Boutique Data ● Cheapsensors are making it easier than ever for reporters to collect their own data sets ● Expect to see more of this in the future
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- 47. A reminder ● It’seasy to get lost in numbers ● Remember you are dealing with real people and real issues ● As technology improves it grows in importance that we consider the impact of what we do
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