{"id":37767,"date":"2026-01-09T19:27:08","date_gmt":"2026-01-09T18:27:08","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/open-source-csv-analysis-helper-for-exploring-datasets-quickly\/"},"modified":"2026-01-09T19:27:08","modified_gmt":"2026-01-09T18:27:08","slug":"open-source-csv-analysis-helper-for-exploring-datasets-quickly","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/open-source-csv-analysis-helper-for-exploring-datasets-quickly\/","title":{"rendered":"Open-source CSV Analysis Helper For Exploring Datasets Quickly"},"content":{"rendered":"<p><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>Hi everyone, I\u2019ve been working with a lot of awful CSV files lately. So, I put together a small open-source utility. <\/p>\n<p>It\u2019s &lt; 200 lines but can scan a CSV and summarize patterns. Show monotonicity \/ trend shifts. It can count inflection points, compute simple outlier signals, and provide tiny visualizations when\/if needed.<\/p>\n<p>It isn\u2019t a replacement for pandas (or anything big), it\u2019s just a lightweight helper for exploring datasets.<\/p>\n<p>Repo:<br \/> <a href=\"https:\/\/github.com\/rjsabouhi\/pattern-scope\">https:\/\/github.com\/rjsabouhi\/pattern-scope<\/a>. <\/p>\n<p>PyPI:<br \/> <a href=\"https:\/\/pypi.org\/project\/pattern-scope\/\">https:\/\/pypi.org\/project\/pattern-scope\/<\/a> <\/p>\n<p>pip install pattern-scope<\/p>\n<p>Hopefully it\u2019s helpful.<\/p>\n<\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/RJSabouhi\"> \/u\/RJSabouhi <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1q8ejm3\/opensource_csv_analysis_helper_for_exploring\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1q8ejm3\/opensource_csv_analysis_helper_for_exploring\/\">[comments]<\/a><\/span><\/p><div class='watch-action'><div class='watch-position align-right'><div class='action-like'><a class='lbg-style1 like-37767 jlk' href='javascript:void(0)' data-task='like' data-post_id='37767' data-nonce='65e0e39b87' rel='nofollow'><img class='wti-pixel' src='https:\/\/www.graviton.at\/letterswaplibrary\/wp-content\/plugins\/wti-like-post\/images\/pixel.gif' title='Like' \/><span class='lc-37767 lc'>0<\/span><\/a><\/div><\/div> <div class='status-37767 status align-right'><\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>Hi everyone, I\u2019ve been working with a lot of awful CSV files lately. So, I put together&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[85],"tags":[],"class_list":["post-37767","post","type-post","status-publish","format-standard","hentry","category-datatards","wpcat-85-id"],"_links":{"self":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/37767","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/comments?post=37767"}],"version-history":[{"count":0,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/37767\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/media?parent=37767"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/categories?post=37767"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/tags?post=37767"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}