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flusteredBias
searching Neon…
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1.
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by
flusteredBias
1y ago
I use it and like it.
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by
flusteredBias
1y ago
It’s 2025 and I bought 3 typewriters just this year. I’m fired.
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by
flusteredBias
1y ago
This is anecdotal and I hope someone who has some research experience can say whether this is true or not generally, but I recently got a Kindle and found that if I use really large font sizes where there are fewer than 50 words on a page i
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by
flusteredBias
2y ago
... so dplyr.
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by
flusteredBias
2y ago
How does this compare to bearblog
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by
flusteredBias
2y ago
ECDF plots are what I use.
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by
flusteredBias
3y ago
See also: (tv) Tidy Viewer. A cross-platform CLI csv pretty printer. https://github.com/alexhallam/tv
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by
flusteredBias
3y ago
I do the same with DuckDB and pretty print with tidy-viewer.
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by
flusteredBias
3y ago
The only way I do that is with git.
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by
flusteredBias
3y ago
Given that I have no clue what a multi-user story is I am guessing not.
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by
flusteredBias
3y ago
I kind of think quarto is a much better solution to the problems that notebooks try to solve plus you get the added bonus of having plain text as the file source.
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by
flusteredBias
4y ago
Don't take my word for it. https://ocw.smithw.org/csunstatreview/statisticalsymbols.pdf
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by
flusteredBias
4y ago
How the parameters are estimated it not the message. In statistics there are latin letters and greek letters. When you see a symbol denoted as a greek letter then that is a population parameter. When you see a latin letter that is a sample
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by
flusteredBias
4y ago
I apologize. ^This comment was to harsh. Statistics can be summarizes as one thing n -> N. Does ‘little n’ represent ‘big N’. In other words, does the sample generalize to the population. Statistics means something like “description of t
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by
flusteredBias
4y ago
I am going to defined the readme a little - they often don’t support missing/corrupt data Clean data would benefit most models, not just non-deep learning models. Missing data introduces bias even in DL models. - they focus on linear r
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by
flusteredBias
4y ago
I use my package https://github.com/alexhallam/tablespoon to generate naive forecasts then evaluate the crps of the naive vs the crps of the alternative method. This “skill score” approach is very good.
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by
flusteredBias
4y ago
You mean CRPS?
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by
flusteredBias
4y ago
I don’t think I have read anything more false on the internet. XD
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by
flusteredBias
4y ago
https://github.com/alexhallam/tv#inspiration
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by
flusteredBias
4y ago
Here is an example of how I would pipe with headers to `tv`. sqlite3 :memory: -csv -header -cmd '.import taxi.csv taxi' 'SELECT passenger_count, COUNT(*), AVG(total_amount) FROM taxi GROUP BY passenger_count' | tv
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by
flusteredBias
4y ago
I am a data scientists. I have used a lot of tools/libraries to interact with data. SQLite is my favorite. It is hard to beat the syntax/grammar. Also, when I use SQLite I do not output using column mode. I pipe to `tv` (tidy-view
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by
flusteredBias
5y ago
Thanks and great work!
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by
flusteredBias
5y ago
You don't have to make the alias `tv`. Feel free to make your alias tidy='tidy-viewer'.
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by
flusteredBias
5y ago
https://github.com/alexhallam/tv/pull/58 I added VisiData in my README and represented it in a positive light in the description. Again, just wanted to apologize for my mistake. #better-together
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by
flusteredBias
5y ago
Love the idea! The issue is already open. I will merge a PR before the next release. https://github.com/alexhallam/tv/issues/49
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by
flusteredBias
5y ago
Oo, I am sorry. I see I misrepresented VisiData. I apologize. Thank you for the corrections. I have a lot of respect your work. Let me know if I can make it up to you. I would be happy to point people to VisiData in my README as a recommend
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by
flusteredBias
5y ago
Thanks!
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by
flusteredBias
5y ago
I see. Thanks for the clarification.
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by
flusteredBias
5y ago
Oo I see. Thanks for clarifying.
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by
flusteredBias
5y ago
I have been using tv now for a couple months at work. It has been working well on the data I see. If you find edge cases then please open an issue with an example csv.
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