David Robinson

@drob

🔎 Data Scientist, looking for roles NYC/remote. fan/evangelist. He/him

New York, NY
Vrijeme pridruživanja: lipanj 2009.

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  1. Prikvačeni tweet
    9. sij

    I'm on the job market! 🔎 I'd love to find a data science role at a small (<200) company where I can help build DS infrastructure and a team. I really like R. New York/Remote. DMs are open if you have questions or suggestions!

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  2. proslijedio/la je Tweet
    27. lis 2019.

    No One ♫ Counts beans like Poisson Weights extremes like Poisson Has its variance equal to means like Poisson ♫

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  3. proslijedio/la je Tweet
    prije 16 sati

    Want to start a blog? You totally should! I wrote a short blog post on Becoming an R Blogger based on my rstudio::conf(2020) talk on Becoming an R Blogger. Check it out:

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  4. proslijedio/la je Tweet
    prije 19 sati

    If you want to quickly up-level your tidyverse game, I highly recommend watching 's "Ten Tremendous Tricks in the Tidyverse" talk. Each trick is demonstrated with examples from his code in his screencasts.

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  5. proslijedio/la je Tweet

    And.... it's 3PM so these are our final numbers for Iowa. Remember to criticize us if someone other than Sanders wins since we had Sanders as the most likely winner, and also to criticize us if Sanders wins since we had him at <50%.

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  6. proslijedio/la je Tweet
    2. velj

    6) if you're asked to fight another candidate as part of the interview and you are able to best them and the interviewer asks you to finish them off, should you? Research the company culture first. Some see compassion as a positive indicator while some believe mercy is weakness

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  7. proslijedio/la je Tweet
    3. velj
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  8. proslijedio/la je Tweet
    2. velj

    It’s February, the worst month of the year for early-stage startups metrics. Don’t forget there are 10% less days than in January! Silver lining: 2020 is a leap year so all else being equal you’re already 3% ahead of last year.

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  9. proslijedio/la je Tweet
    1. velj

    This is a lesson I keep having to relearn: statistics isn’t magic, and sometimes the data we have just can’t answer the questions we want it to, no matter how much we want it or how hard we work.

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  10. proslijedio/la je Tweet
    31. sij

    Just realized... WeWork's infamous turnaround slide resembles ours! 😂

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  11. proslijedio/la je Tweet
    31. sij

    I am so very excited to announce that {ggeasy} is now a CRAN package! Having trouble remembering how to tweak your {ggplot2} components? We got you covered.

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  12. proslijedio/la je Tweet
    30. sij

    Definitely a career highlight here at : citing and my book () in his talk, saying “if you read one book this year, read this one, even if you’re not looking for a data science job. I devoured it in 3 days” ☺️

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  13. 30. sij

    . finds the right analogy for how much he cares about model tuning ☕️

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  14. 30. sij

    In particular, I think this is much more informative than semantic versioning’s major/minor/patch distinctions

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  15. 30. sij

    I really like the tidyverse lifecycle badges as an approach to changing APIs: state explicitly whether a functionality is experimental, stable, superseded, etc Learn more:

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  16. 30. sij

    "There's no one word for the record of an error. You can take almost any combination of the words 'call', 'stack', 'trace', and 'back', and you'll find some people using it" - Observation from

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  17. proslijedio/la je Tweet
    30. sij

    We're also happy to have talks from wandering bards. If you're on holiday or working in Edinburgh, you could follow in the footsteps of , and and give a talk . Please get in touch!

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  18. proslijedio/la je Tweet
    30. sij

    If you’re at the social, you can find not one, not two, but all three robinson siblings! Come say hi to me, , and (who does not use but is fun anyway)

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  19. 29. sij

    The golem 📦 structures the delivery of a Shiny app: each app is one R package

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  20. 29. sij

    . points out there’s a huge economic opportunity in training junior analysts from underserved communities: a lot of the work companies need is ad hoc analysis and cleaning, which doesn’t take years of education+experience More here:

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  21. 29. sij

    Terrific talk from on building functional and usable tools within a company, filled with powerful tips from the R and the 💯 Slides here:

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