Simon Jackson

@drsimonj

Lead Data Scientist at , empowering people to make good decisions. Love to talk stats, psych, decision making, machine learning, R

Amsterdam, The Netherlands
linkedin.com/in/drsimonj
Joined March 2015
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  1. Pinned Tweet
    Aug 21

    "Exploring correlations in R with corrr" A blog-post version of my amst-R-dam meetup talk. BONUS: Features DB backend addition by

    2 replies 34 retweets 120 likes
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  2. Retweeted
    Dec 8

    🎁 Day 8 👨‍⚕️ Simon Jackson () 💪 {corrr} for tidy correlations 🔧 {twidlr} for tidy model pipelines 📝 Great blog posts

    Exploring correlations in R with corrr
    2 replies 66 retweets 232 likes
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  3. Retweeted
    Nov 28

    At long last, the parsnip package is on CRAN. parsnip is a unified R interface to models. The first of two blog posts about the package is at

    15 replies 277 retweets 754 likes
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  4. Retweeted
    Nov 27

    🎞 these are so cool! "causalgraphs: R code to generate animated displays of basic causal inference methods" 👨‍💻

    2 replies 49 retweets 177 likes
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  5. Retweeted
    Nov 15

    Materials from my with and talk at are now available here:

    2 replies 29 retweets 80 likes
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  6. Retweeted
    Nov 14

    🤩 TIL about reticulate::py_install(), meaning I can forget about all these various ways to install 🐍 stuff.

    1 reply 7 retweets 38 likes
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  7. Retweeted
    Nov 11

    “Any fool can write code that a computer can understand. Good programmers write code that humans can understand.” – Martin Fowler

    12 replies 665 retweets 2,019 likes
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  8. Retweeted
    Nov 8

    Hey , want to brush up on your tidyeval? Try this interactive tutorial covering symbols, quosures, !!, !!!, and more: (feedback welcome)

    17 replies 175 retweets 686 likes
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  9. Retweeted
    Nov 8

    Great advice from : if you want to get started with , use a dataset you’re interested in, not mtcare. One possibility - download your social media or gmail data!

    2 replies 16 retweets 59 likes
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  10. Retweeted
    Nov 5

    I'm starting monthly bite-size data posts on meta! 📊 Check out this first one about how users' actions are correlated.

    3 replies 17 retweets 58 likes
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  11. Retweeted
    Nov 4

    😻 Just saw 's work for the first time, and I'm so in love! 🖍 "Sketchplanations - A weekly explanation in a sketch"

    Mercator Projection
    3 replies 50 retweets 178 likes
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  12. Retweeted
    Oct 30

    Find a typo somewhere in a bookdown book (e.g. ) or in a package readme/docs on github? You can propose the fix yourself! Follow this step-by-step tutorial w/ lots of screenshots . H/t & thank you to .

    31 retweets 83 likes
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  13. Retweeted
    Oct 17

    hey! I just gave a talk at on what I've discovered about while hosting , the podcast. Slides are here:

    5 replies 27 retweets 117 likes
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  14. Retweeted
    Oct 17

    Great talk from yesterday on the benefits of coding your data analysis for reproducibility. Bonus: I’ve never related to a speaker more. “All code is collaborative even if it’s just between you and future you”

    4 replies 63 retweets 334 likes
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  15. Retweeted
    Oct 17

    Just like reserving money for unforeseen costs when budgeting, you should set aside time for unforeseen delays when planning for a data science task. Reduces stress when something keeps failing without knowing why or you just don't see the answer right away.

    5 replies 9 retweets 31 likes
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  16. Retweeted
    Oct 12

    Materials from my with are now available in this repo: , Includes code, deck and links to the published work.

    15 retweets 56 likes
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  17. Oct 10

    "All the right math and data to solve the wrong problem" - sharing that type III errors are at the heart of Decision Intelligence

    11 retweets 38 likes
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  18. Oct 10

    "Irrationality is an expensive bug" - I love this setup of human decision biases and how / can improve decision making by at

    and
    1 reply 7 retweets 5 likes
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  19. Retweeted
    Oct 7

    Just tinkering… 📊 "Pretty scatter plots w/ ggplot2" 📽 "Decouple Code and Output in xaringan"

    2 replies 40 retweets 131 likes
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  20. Retweeted
    Oct 5

    Running the tests again without saving your changes

    147 replies 8,132 retweets 15,867 likes
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  21. Oct 7

    ICYMI. How and when: ridge regression with glmnet Or, "When does Ridge🥊 OLS?" 🔗

    1 reply 7 retweets 56 likes
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