talks
Data source:
https://csvconf.com/
1 row
where abstract = "In 2016 I designed a plain-text file format for crossword puzzle data, and then spent a couple of months building a micro-data-pipeline, scraping tens of thousands of crosswords from various sources. Then, having all those crosswords in a simple format, I wanted to see if there were any common grid patterns--and discovered egregious plagiarism by a major crossword editor that had gone on for years. This talk would cover the file format, data pipeline, and the design choices that aided rapid exploration; the evidence for the scandal, from the initial anomalies to the final damning visualization; and what it's like for a data project to get 15 minutes of fame.", day = "May 9 2019" and time = "2:30 PM" sorted by speaker
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- In 2016 I designed a plain-text file format for crossword puzzle data, and then spent a couple of months building a micro-data-pipeline, scraping tens of thousands of crosswords from various sources. Then, having all those crosswords in a simple format, I wanted to see if there were any common grid patterns--and discovered egregious plagiarism by a major crossword editor that had gone on for years. This talk would cover the file format, data pipeline, and the design choices that aided rapid exploration; the evidence for the scandal, from the initial anomalies to the final damning visualization; and what it's like for a data project to get 15 minutes of fame. · 1 ✖
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47 |
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How a File Format Led to a Crossword Scandal |
Saul Pwanson |
2:30 PM |
May 9 2019 |
Fuller Hall |
https://csvconf.com/speakers/#saul-pwanson |
2019-05-09T14:30:00 |
In 2016 I designed a plain-text file format for crossword puzzle data, and then spent a couple of months building a micro-data-pipeline, scraping tens of thousands of crosswords from various sources. Then, having all those crosswords in a simple format, I wanted to see if there were any common grid patterns--and discovered egregious plagiarism by a major crossword editor that had gone on for years. This talk would cover the file format, data pipeline, and the design choices that aided rapid exploration; the evidence for the scandal, from the initial anomalies to the final damning visualization; and what it's like for a data project to get 15 minutes of fame. |
https://csvconf.com/img/speakers-2019/spwanson.jpg |
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)