{"id":29420,"date":"2024-07-03T10:27:41","date_gmt":"2024-07-03T08:27:41","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/dataset-for-companies-and-their-respective-categories\/"},"modified":"2024-07-03T10:27:41","modified_gmt":"2024-07-03T08:27:41","slug":"dataset-for-companies-and-their-respective-categories","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/dataset-for-companies-and-their-respective-categories\/","title":{"rendered":"Dataset For Companies And Their Respective Categories"},"content":{"rendered":"<p><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>I\u2019m trying to build an analyzer of my spending habits and I would like to know what various categories of expenses I have. <\/p>\n<p>For example, I have a csv of all my transactions One transaction might say \u201cChipotle\u201d and I would like that to be categorized into a restaurants. My approach is to have a dataset of these popular companies and their respective types in order to categorize them into \u201cgenres\u201d. I\u2019m currently using OpenStreetMaps: overpass api because they have tags on each company or store classifying what type they are. If anyone has a dataset like this or suggestions for a different approach, please let me know.<\/p>\n<p>TLDR: Looking for a dataset that has companies that people ordinarily buy from and their category \u201cChipotle: Restaurant\u201d \u201cNike: fashion\u201d \u2026<\/p>\n<\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/AimBot_4000\"> \/u\/AimBot_4000 <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1du8was\/dataset_for_companies_and_their_respective\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1du8was\/dataset_for_companies_and_their_respective\/\">[comments]<\/a><\/span><\/p><div class='watch-action'><div class='watch-position align-right'><div class='action-like'><a class='lbg-style1 like-29420 jlk' href='javascript:void(0)' data-task='like' data-post_id='29420' 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-29420 lc'>0<\/span><\/a><\/div><\/div> <div class='status-29420 status align-right'><\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>I\u2019m trying to build an analyzer of my spending habits and I would like to know what&#8230;<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[85],"tags":[],"class_list":["post-29420","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\/29420","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"}],"replies":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/comments?post=29420"}],"version-history":[{"count":0,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/29420\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/media?parent=29420"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/categories?post=29420"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/tags?post=29420"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}