{"id":295,"date":"2011-04-06T16:40:00","date_gmt":"2011-04-06T16:40:00","guid":{"rendered":"https:\/\/blogs-dev.lib.uconn.edu\/outsidetheneatline\/2011\/04\/06\/get-microdata-from-the-dataferret\/"},"modified":"2011-04-06T16:40:00","modified_gmt":"2011-04-06T16:40:00","slug":"get-microdata-from-the-dataferret","status":"publish","type":"post","link":"https:\/\/blogs-dev.lib.uconn.edu\/outsidetheneatline\/2011\/04\/06\/get-microdata-from-the-dataferret\/","title":{"rendered":"Get MicroData from the DataFerret!"},"content":{"rendered":"<div style=\"clear: both;text-align: center\"><a href=\"http:\/\/www.thedataweb.org\/images\/type.gif\"><img loading=\"lazy\" decoding=\"async\" border=\"0\" height=\"320\" src=\"http:\/\/www.thedataweb.org\/images\/type.gif\" width=\"204\" \/><\/a><\/div>\n<p>DataFerret is a tool that mines and extracts data from 4 main types of data:<\/p>\n<p><\/p>\n<ul>\n<li>MicroData<\/li>\n<li>Aggreagate or Summarized Data<\/li>\n<li>Longitudinal Datasets<\/li>\n<li>Time Series Datasets<\/li>\n<\/ul>\n<p>This tool is very easy to use and may be helpful to user of PUMS data. \u00a0The program has the ability to export custom tables in a number of different formats and has the ability to create maps. <\/p>\n<p>Check out the following links to get some more background information on the DataFerret and how to make use of this tool:<\/p>\n<p><\/p>\n<ul>\n<li><a href=\"http:\/\/www.thedataweb.org\/support\/DataFerrettTutorial\/start_tour.htm\">QuickTour<\/a><\/li>\n<li><a href=\"http:\/\/www.thedataweb.org\/support\/DataFerrettTutorial\/index.html\">Tutorials<\/a><\/li>\n<li><a href=\"http:\/\/www.thedataweb.org\/support\/user\/index.html\">Users&#8217; Guide<\/a><\/li>\n<li><a href=\"http:\/\/www.thedataweb.org\/run.html\">Get Data &#8211; Run the Ferrett!<\/a>\u00a0(Federated Electronic Research, Review, Extraction, and  Tabulation Tool)<\/li>\n<\/ul>\n<p>Here is a sample map of Average Income by PUMA&#8217;s in Connecticut, no GIS needed.<\/p>\n<table align=\"center\" cellpadding=\"0\" cellspacing=\"0\" style=\"margin-left: auto;margin-right: auto;text-align: center\">\n<tbody>\n<tr>\n<td style=\"text-align: center\"><a href=\"http:\/\/2.bp.blogspot.com\/-SQH0eXrCsyE\/TZyVujSJGVI\/AAAAAAAAAyc\/k3AlXKxz-4g\/s1600\/AverageIncomePUMA.jpg\"><img loading=\"lazy\" decoding=\"async\" border=\"0\" height=\"332\" src=\"http:\/\/2.bp.blogspot.com\/-SQH0eXrCsyE\/TZyVujSJGVI\/AAAAAAAAAyc\/k3AlXKxz-4g\/s640\/AverageIncomePUMA.jpg\" width=\"640\" \/><\/a><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center\">\n<div style=\"text-align: center\">ACS 2005-2009 PUMS Data for Average Income<\/div>\n<div style=\"text-align: center\"><\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<!-- AddThis Advanced Settings generic via filter on the_content --><!-- AddThis Share Buttons generic via filter on the_content -->","protected":false},"excerpt":{"rendered":"<p>DataFerret is a tool that mines and extracts data from 4 main types of data: MicroData Aggreagate or Summarized Data Longitudinal Datasets Time Series Datasets This tool is very easy to use and may be helpful to user of PUMS &hellip; <a href=\"https:\/\/blogs-dev.lib.uconn.edu\/outsidetheneatline\/2011\/04\/06\/get-microdata-from-the-dataferret\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><!-- AddThis Advanced Settings generic via filter on get_the_excerpt --><!-- AddThis Share Buttons generic via filter on get_the_excerpt --><\/p>\n","protected":false},"author":20,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9,10,200],"tags":[],"_links":{"self":[{"href":"https:\/\/blogs-dev.lib.uconn.edu\/outsidetheneatline\/wp-json\/wp\/v2\/posts\/295"}],"collection":[{"href":"https:\/\/blogs-dev.lib.uconn.edu\/outsidetheneatline\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs-dev.lib.uconn.edu\/outsidetheneatline\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs-dev.lib.uconn.edu\/outsidetheneatline\/wp-json\/wp\/v2\/users\/20"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs-dev.lib.uconn.edu\/outsidetheneatline\/wp-json\/wp\/v2\/comments?post=295"}],"version-history":[{"count":0,"href":"https:\/\/blogs-dev.lib.uconn.edu\/outsidetheneatline\/wp-json\/wp\/v2\/posts\/295\/revisions"}],"wp:attachment":[{"href":"https:\/\/blogs-dev.lib.uconn.edu\/outsidetheneatline\/wp-json\/wp\/v2\/media?parent=295"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs-dev.lib.uconn.edu\/outsidetheneatline\/wp-json\/wp\/v2\/categories?post=295"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs-dev.lib.uconn.edu\/outsidetheneatline\/wp-json\/wp\/v2\/tags?post=295"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}