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var_explained

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Karma
1,004
Created
December 23, 2014 (11y ago)
Submissions
0
  1. How We Use Pseudo-R² to Automate Analysis Suggestions at Heap (heap.io)
    2 points 0
  2. Who wrote the New York Times op-ed? Using tidytext to find document similarity (varianceexplained.org)
    3 points 2
  3. The Hidden Revolution in Data Science (datacamp.com)
    1 points 0
  4. Scientific debt (varianceexplained.org)
    2 points 0
  5. Teaching Data Science to High Schoolers (mchow.com)
    2 points 0
  6. Data science at DataCamp (varianceexplained.org)
    1 points 0
  7. What digits should you bet on in Super Bowl squares? (varianceexplained.org)
    2 points 0
  8. What's the difference between data science, machine learning, and AI? (varianceexplained.org)
    4 points 0
  9. What Are the Most Disliked Programming Languages? (stackoverflow.blog)
    91 points 104
  10. From Power Calculations to P-Values: A/B Testing at Stack Overflow (stackoverflow.blog)
    5 points 0
  11. The Impressive Growth of R (stackoverflow.blog)
    5 points 0
  12. Mapping Ecosystems of Software Development (stackoverflow.blog)
    1 points 0
  13. Don't teach students the hard way first (varianceexplained.org)
    2 points 0
  14. Where in the World Is Mobile Development? (stackoverflow.blog)
    4 points 0
  15. Trump's Android and iPhone tweets, one year later (varianceexplained.org)
    1 points 0
  16. Trends in Cloud Computing: Who Uses AWS, Who Uses Azure? (stackoverflow.blog)
    2 points 1
  17. Trends in Government Software Developers (stackoverflow.blog)
    7 points 0
  18. Text Mining of Stack Overflow Questions (stackoverflow.blog)
    4 points 0
  19. Teach the tidyverse to beginners in R (varianceexplained.org)
    2 points 1
  20. Two Years as a Data Scientist at Stack Overflow (varianceexplained.org)
    1 points 0
  21. Words growing or shrinking in Hacker News titles: a tidy analysis (varianceexplained.org)
    118 points 15
  22. Helping a Million Developers Exit Vim (stackoverflow.blog)
    775 points 488
  23. How we built Tagger News: machine learning on a tight schedule (varianceexplained.org)
    71 points 8
  24. How we built Tagger News: machine learning on a tight schedule (varianceexplained.org)
    8 points 0
  25. Tagger News takes a subset of HN articles, analyzes using ML, and applies tags (techcrunch.com)
    308 points 69