Politics and Visualizing Data

Cff972b45e6ea7823fd6a2a231c4e659?s=47 Tom Schenk Jr
October 17, 2017

Politics and Visualizing Data

Cff972b45e6ea7823fd6a2a231c4e659?s=128

Tom Schenk Jr

October 17, 2017
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    [A] new kind of professional has emerged, the data scientist,

    who combines the skill of software programmer, statistician, and story teller/artist to extract the nuggets of gold hidden under mountains of data.
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    A scrupulous writer, in every sentence that he writes, will

    ask himself at least four questions, thus: What am I trying to say? What words will express it? What image or idiom will make it clearer? Is this image fresh enough to have an effect? And he will probably ask himself two more: Could I put it more shortly? Have I said anything that is avoidably ugly?
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    Of course I know Central Park is rectangular and not

    square. Of course I know the park is green, and not gray. Who cares? You want to go from Point A to Point B, period. The only thing you are interested in is the spaghetti.
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    Sometimes, intricate, data visualizations use overplotting to reveal macro-trends. Sophisticated

    visualizations use tools like Processing.js or D3.js to create interactive, complex charts.
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    • Keep a list of ideas for next time. •

    Classify your readers: the busy, the pros, the casual. • Watch your readers while they read your reports. • Test new ideas.
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    Research without communication is talking to yourself. Data visualization is

    the mechanism to quickly and effectively communicate research to others. Tools include Microsoft Excel, Adobe Illustrator (print), and a JavaScript library for interactive graphs(e.g., D3, HighCharts, amCharts)
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    Look back through this essay, and for certain you will

    find that I have again and again committed the very faults I am protesting against.
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