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18 results for “ikashnitsky”

  1. 🔥 I've rebuilt my site/blog using @posit_pbc's magnificent #Quatro
    🤩 Check it out at
    🔗 ikashnitsky.github.io
    🙌 Now the plan is to fill the almost 3 years gap in blogging converting my main twitter threads into posts, stay tuned 🐟
    📌 I'll add links to new posts here👇
    1/🧵

  2. 🔥 I've rebuilt my site/blog using @posit_pbc's magnificent
    🤩 Check it out at
    🔗 ikashnitsky.github.io
    🙌 Now the plan is to fill the almost 3 years gap in blogging converting my main twitter threads into posts, stay tuned 🐟
    📌 I'll add links to new posts here👇
    1/🧵

  3. 🔥 I've rebuilt my site/blog using @posit_pbc's magnificent #Quatro
    🤩 Check it out at
    🔗 ikashnitsky.github.io
    🙌 Now the plan is to fill the almost 3 years gap in blogging converting my main twitter threads into posts, stay tuned 🐟
    📌 I'll add links to new posts here👇
    1/🧵

  4. 🔥 I've rebuilt my site/blog using @posit_pbc's magnificent #Quatro
    🤩 Check it out at
    🔗 ikashnitsky.github.io
    🙌 Now the plan is to fill the almost 3 years gap in blogging converting my main twitter threads into posts, stay tuned 🐟
    📌 I'll add links to new posts here👇
    1/🧵

  5. 🔥 I've rebuilt my site/blog using @posit_pbc's magnificent #Quatro
    🤩 Check it out at
    🔗 ikashnitsky.github.io
    🙌 Now the plan is to fill the almost 3 years gap in blogging converting my main twitter threads into posts, stay tuned 🐟
    📌 I'll add links to new posts here👇
    1/🧵

  6. I'm presenting a new package {oddor} that provides functions to scrape data from oddsportal dot com. Dealing with these data for the first time, I was surprised how hard it is to grab the simple tables from this dynamically generated website. After wondering countless QAs, I managed to do it and decided to wrap the solution as a package. In the future, I plan to store the scraped data within the package. Improvements/suggestions are welcome

    github.com/ikashnitsky/oddor

  7. I'm presenting a new #rstats package {oddor} that provides functions to scrape data from oddsportal dot com. Dealing with these data for the first time, I was surprised how hard it is to grab the simple tables from this dynamically generated website. After wondering countless QAs, I managed to do it and decided to wrap the solution as a package. In the future, I plan to store the scraped data within the package. Improvements/suggestions are welcome
    #rvest #FIFAWorldCup
    github.com/ikashnitsky/oddor

  8. I'm presenting a new #rstats package {oddor} that provides functions to scrape data from oddsportal dot com. Dealing with these data for the first time, I was surprised how hard it is to grab the simple tables from this dynamically generated website. After wondering countless QAs, I managed to do it and decided to wrap the solution as a package. In the future, I plan to store the scraped data within the package. Improvements/suggestions are welcome
    #rvest #FIFAWorldCup
    github.com/ikashnitsky/oddor

  9. I'm presenting a new #rstats package {oddor} that provides functions to scrape data from oddsportal dot com. Dealing with these data for the first time, I was surprised how hard it is to grab the simple tables from this dynamically generated website. After wondering countless QAs, I managed to do it and decided to wrap the solution as a package. In the future, I plan to store the scraped data within the package. Improvements/suggestions are welcome
    #rvest #FIFAWorldCup
    github.com/ikashnitsky/oddor

  10. I'm presenting a new #rstats package {oddor} that provides functions to scrape data from oddsportal dot com. Dealing with these data for the first time, I was surprised how hard it is to grab the simple tables from this dynamically generated website. After wondering countless QAs, I managed to do it and decided to wrap the solution as a package. In the future, I plan to store the scraped data within the package. Improvements/suggestions are welcome
    #rvest #FIFAWorldCup
    github.com/ikashnitsky/oddor

  11. Great use of and easy to follow probability in determining whether was abnormal
    ikashnitsky.github.io/2022/exc

  12. Non-survival to pension age in Denmark and Sweden: a sub-national investigation

    New preprint: osf.io/y9ke4

    I construct full life tables for the small populations of 🇩🇰 municipalities, apply spatial clustering, and male survival at ages 50—65 to 🇸🇪

    Look at Copenhagen!

  13. Non-survival to pension age in Denmark and Sweden: a sub-national investigation

    New preprint: osf.io/y9ke4

    I construct full life tables for the small populations of 🇩🇰 municipalities, apply spatial clustering, and male survival at ages 50—65 to 🇸🇪

    Look at Copenhagen!

    #Demography #SmallArea #Municipalities #Survival #Inequality #SpatialPatterns #rstats #rspatial

  14. Non-survival to pension age in Denmark and Sweden: a sub-national investigation

    New preprint: osf.io/y9ke4

    I construct full life tables for the small populations of 🇩🇰 municipalities, apply spatial clustering, and male survival at ages 50—65 to 🇸🇪

    Look at Copenhagen!

    #Demography #SmallArea #Municipalities #Survival #Inequality #SpatialPatterns #rstats #rspatial

  15. Non-survival to pension age in Denmark and Sweden: a sub-national investigation

    New preprint: osf.io/y9ke4

    I construct full life tables for the small populations of 🇩🇰 municipalities, apply spatial clustering, and male survival at ages 50—65 to 🇸🇪

    Look at Copenhagen!

    #Demography #SmallArea #Municipalities #Survival #Inequality #SpatialPatterns #rstats #rspatial

  16. Non-survival to pension age in Denmark and Sweden: a sub-national investigation

    New preprint: osf.io/y9ke4

    I construct full life tables for the small populations of 🇩🇰 municipalities, apply spatial clustering, and male survival at ages 50—65 to 🇸🇪

    Look at Copenhagen!

    #Demography #SmallArea #Municipalities #Survival #Inequality #SpatialPatterns #rstats #rspatial

  17. A shootout to demographers: what is our hashtag most in use here? On twitter over time we converged to . What should be the replacement?

  18. 💡 Use fedifinder.glitch.me to refollow your twitter connections
    tip