{"id":40466,"date":"2026-04-17T21:01:46","date_gmt":"2026-04-17T19:01:46","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/50-years-9000-families-three-generations-of-family-data-one-very-hard-dataset\/"},"modified":"2026-04-17T21:01:46","modified_gmt":"2026-04-17T19:01:46","slug":"50-years-9000-families-three-generations-of-family-data-one-very-hard-dataset","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/50-years-9000-families-three-generations-of-family-data-one-very-hard-dataset\/","title":{"rendered":"50 Years. 9,000 Families. Three Generations Of Family Data. One Very Hard Dataset."},"content":{"rendered":"<p><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>This dataset has tracked the same thousands of American families for 50 years \u2014 parents, children, grandchildren. But almost nobody uses it because it is notoriously hard to work with. I wrote a beginner&#8217;s guide covering registration, variable selection, FIMS, building person IDs, and exporting a clean CSV. Includes sample Python code. Might be useful if you&#8217;ve ever wanted to work with longitudinal family data but didn&#8217;t know where to start. Disclosure: I wrote this guide.<\/p>\n<p><a href=\"https:\/\/medium.com\/@jfoley648\/the-most-interesting-dataset-in-the-world-136946347af2\">https:\/\/medium.com\/@jfoley648\/the-most-interesting-dataset-in-the-world-136946347af2<\/a><\/p>\n<\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/Snoo752\"> \/u\/Snoo752 <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1so9s2z\/50_years_9000_families_three_generations_of\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1so9s2z\/50_years_9000_families_three_generations_of\/\">[comments]<\/a><\/span><\/p><div class='watch-action'><div class='watch-position align-right'><div class='action-like'><a class='lbg-style1 like-40466 jlk' href='javascript:void(0)' data-task='like' data-post_id='40466' 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-40466 lc'>0<\/span><\/a><\/div><\/div> <div class='status-40466 status align-right'><\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>This dataset has tracked the same thousands of American families for 50 years \u2014 parents, children, grandchildren&#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-40466","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\/40466","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=40466"}],"version-history":[{"count":0,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/40466\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/media?parent=40466"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/categories?post=40466"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/tags?post=40466"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}