Data or Die

In the 2016 election, few spectators realized Donald Trump’s data advantage until after he’d won.

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On Programming Languages; Why My Dad Went From Programming to Driving a Bus

In Data Science from Scratch, a book introducing data science using Python, Joel Grus said the following about R (pg. 302):

Although you can totally get away with not learning R, a lot of data scientists and data science projects use it, so it’s worth getting familiar with it.

In part, this is so that you can understand people’s R-based blog posts and examples and code; in part, this is to help you better appreciate the (comparatively) clean elegance of Python; and in part, this is to help you be a more informed participant in the never-ending “R versus Python” flamewars.

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Information and Beauty

I went and explored Candy Chang’s website containing projects she initiated in cities. These projects strike me as almost the definition of “pinpricks of change,” being so simple and elegant yet make a difference in a community, adding a certain “spice” (for a lack of a better word) that adds character. I really liked the elegance and the visual appeal of her projects. I especially like some of the guides she has made for renters and street vendors, which contain all the information these people (who often are vulnerable) need in order to get by and at the same time are visually appealing. I think it was from this project I learned the most.

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