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Dan Saber

Fear, loathing, Data Science

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danielsaber

Monopolist Behavior in the Wild: Apple Edition

How To Make Friends The iPhone’s “Subscription Management” menu is famously inaccessible. To get there, you must slay an ogre, somersault through an intergalactic wormhole, and click, like, four buttons. Since subscriptions are a fundamental part of your iPhone experience,... Continue Reading →

Programming Note

Hello, loyal readers (i.e., Mom)! Recently, I’ve begun using this blog for more than just Data Science writing (e.g., promoting my novel, complaining about the Bay Area, etc.). That said, I know many of you are primarily interested in my... Continue Reading →

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 →

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