http://karpoke.ignaciocano.com/tags/data-analysis/Recent content in Data-Analysis on Karpoke - Just Another BlogHugo -- 0.167.0esWed, 20 Apr 2022 22:34:27 +0100http://karpoke.ignaciocano.com/2022/04/20/si-no-puedo-descargar-los-100-000-expedientes-del-registro-de-licitadores-para-c/Wed, 20 Apr 2022 22:34:27 +0100http://karpoke.ignaciocano.com/2022/04/20/si-no-puedo-descargar-los-100-000-expedientes-del-registro-de-licitadores-para-c/<blockquote> <p>@JaimeObregon: ⚠️ Si no puedo descargar los 100.000 expedientes del Registro de Licitadores para cruzarlos con los dos millones de contratos públicos que ya tengo indexados y cruzados con el censo de contribuyentes,&hellip;…</p> </blockquote> <p>» threadreaderapp.com | <a href="https://threadreaderapp.com/thread/1514934236259758080.html">threadreaderapp.com</a></p>http://karpoke.ignaciocano.com/2021/09/18/analyzing-episode-data-for-the-office-series-with-the-wolfram-language/Sat, 18 Sep 2021 21:38:17 +0100http://karpoke.ignaciocano.com/2021/09/18/analyzing-episode-data-for-the-office-series-with-the-wolfram-language/<blockquote> <p>Important results of a quantitative analysis of The Office TV show. See how the dataset was created, cleaned and calculated. Inspired by Tim Marcin</p> </blockquote> <p>» blog.wolfram.com | <a href="https://blog.wolfram.com/2021/09/17/analyzing-episode-data-for-the-office-series-with-the-wolfram-language/">blog.wolfram.com</a></p>http://karpoke.ignaciocano.com/2020/11/26/pycoderas-weekly-issue-446-nov-10-2020/Thu, 26 Nov 2020 09:27:59 +0100http://karpoke.ignaciocano.com/2020/11/26/pycoderas-weekly-issue-446-nov-10-2020/<blockquote> <p>Key Driver Analysis, Defaultdicts, Unladen Swallows, and More</p> </blockquote> <p>» PyCoder’s Weekly | <a href="https://pycoders.com/issues/446">pycoders.com</a></p>http://karpoke.ignaciocano.com/2014/10/26/what-are-the-chances-of-survival-of-individual-chess-pieces-in-average-games/Sun, 26 Oct 2014 09:20:00 +0100http://karpoke.ignaciocano.com/2014/10/26/what-are-the-chances-of-survival-of-individual-chess-pieces-in-average-games/<blockquote> <p>In case anyone’s wondering how I approached this as a programming problem, a quick trick is to not get drawn into writing a whole chessboard representation. Use a tool like pgn-extract to convert SAN moves (e.g. ”Nc3”) to long algebraic moves (e.g. ”Nb1c3”) - since we can safely assume all moves in the PGN are legal, this saves a lot of effort implementing the rules of chess (although you still have to handle castling and en passant carefully). » <a href="http://www.cs.kent.ac.uk/people/staff/djb/pgn-extract/">png-extract</a> » <a href="https://github.com/ojb500/SurvivingPieces">SurvivingPieces</a></p> </blockquote>