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Dan Saber

Fear, loathing, Data Science

Destroy Your Country’s Economic Mobility with This One Neat Trick

I live in the Bay Area. The Bay Area is extremely expensive. (Source not cited.) Oppressively high housing costs have led to all kinds of fun social pathologies. San Francisco's homelessness crisis is only the most well-documented. There is also... Continue Reading →

My Novel

That's Right, I Wrote A Novel Hello, prospective content consumer! I'd like to hawk you my book tell you about my comedic novel, Good Intentions. It's about an angel working at a heavenly bureaucracy that's being "disrupted" by the smartphone... Continue Reading →

For The Economist: Corporate Wokeness and Campaign Finance

I was interested in whether "woke" companies donate disproportionately to Democrats, or if their embrace of progressive causes is one big branding exercise. The answer? Kinda both! I'm unbelievably proud to say that my findings were published in this week's... Continue Reading →

Partner-Driven A/B Testing at Coursera

EDIT: Thanks to commenter gruddock, I learned that the conference organizers took down the talks from YouTube. Please see here for the slides. They include complete speaker notes. I recently attended the Data Science Innovation in eLearning Conference (hosted by Udemy... Continue Reading →

Time Keeps on Slipping: Exploiting Time for Causal Inference with Difference-in-Differences and Panel Methods

Note: This post assumes a passing familiarity with linear regression. Aside from that, it's a highly applied intro to D-in-D regression and panel data techniques. In Due Time In one of my favorite episodes of Futurama, the universe experiences "time skips."... Continue Reading →

For Inside Big Data: Making the Leap from Data Science Hopeful to Practioner

I wrote a post for Inside Big Data on transitioning into Data Science -- a topic I'm actually qualified to give advice on! It’s a familiar dilemma. You’ve done your research, read some books, taken some online classes – and at long... Continue Reading →

A Dramatic Tour through Python’s Data Visualization Landscape (including ggplot and Altair)

Why Even Try, Man? I recently came upon Brian Granger and Jake VanderPlas's Altair, a promising young visualization library. Altair seems well-suited to addressing Python's ggplot envy, and its tie-in with JavaScript's Vega-Lite grammar means that as the latter develops new... Continue Reading →

Analyze Your Experiment with a Multilevel Logistic Regression using PyMC3​

Note: In this post, I assume some familiarity with PyMC. If you need to get up to speed in a hurry and you're familiar with linear regression, go here for a tutorial. Alternatively, you can read for the methodological intuition,... Continue Reading →

Using Data to Hold Crappy Businesses Accountable (Airline Edition)

Contextualizing My Vendetta I've been on a streak of bad flights lately. The last two, in particular, were horrible -- and not horrible in the standard "cramped seats/rubbery food/my-God-that-smell" way. Horrible due to (A) an unexplained cancellation, which turned my 12-hour... Continue Reading →

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