How many statisticians does it take to split a bill?
Posted by Armando Brito Mendes | Filed under estatística, software
stas
Bom blogue, bem disposto aborda diferenças entre estatística e ML
Some thoughts on the Fall term, now that Spring is well under way [edit: added a few more points]:
- RMarkdown and knitr are amazing. When I next teach a course using R, my students will be turning in homeworks using these tools: The output immediately shows whether the code runs and what its results are. This is much better than students copying and pasting possibly-broken code and unconnected output into a text file or (gasp) Word document.
- I’m glad my cohort socializes outside the office, taking each other out for birthday lunches or going to see a Pirates game. Some of the older PhD students are so focused on their thesis work that they don’t take time for a social break, and I’d like to avoid getting stuck in that rut.
However! Our lunches always lead us back to the age old question: How many statisticians does it take to split a bill? Answer: too long. I threw together a Shiny app, DinneR, to help us answer this question.
Tags: big data, data mining, R-software, software estatístico
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