{"id":1531,"date":"2017-10-23T13:40:55","date_gmt":"2017-10-23T20:40:55","guid":{"rendered":"http:\/\/miriamposner.com\/classes\/dh101f17\/?p=1531"},"modified":"2017-10-23T14:03:44","modified_gmt":"2017-10-23T21:03:44","slug":"blog-post-3-active-restaurants-heat-map","status":"publish","type":"post","link":"http:\/\/miriamposner.com\/classes\/dh101f17\/2017\/10\/23\/blog-post-3-active-restaurants-heat-map\/","title":{"rendered":"Blog Post 3: Active Restaurants Heat Map"},"content":{"rendered":"<p>The dataset I chose this week is <a href=\"https:\/\/data.lacity.org\/A-Prosperous-City\/Active-Restaurants-Heat-Map\/gtcn-kik7\">Active Restaurants Heat Map<\/a>. The dataset is registered with the Office of Finance, and defines active businesses as a registered business whose owner has not notified the Office of Finance of a cease of business operations. The dataset has a fairly straightforward ontology that is based on geographic location. There are 16 columns, labeled as follows: Location Account #, Business Name, DBA Name, Street Address, City, Zip Code, Location Description, Mailing Address, Mailing City, Mailing Zip Code, NAICS, Primary NAICS Description, Council District, Location Start Date, Location End Date, Location.<\/p>\n<p>This ontology makes the most sense from the point of view of a city planner or developer, particularly someone who is interested in tracing the locations of restaurants around the city. The dataset itself has a lot of useful information regarding the location and active status of a business, and the accompanying heat map shows the concentration of restaurants so you can easily visualize where restaurants are located and what areas are most popular.<\/p>\n<p>The dataset lacks a couple of categories such as type of cuisine, type of establishment (upscale, casual, fast food, etc.), phone numbers, operating hours, popularity, size, etc. If I were to start over with this data collection I may want to look at it from the point of view of a restauranteur who is looking to open a new restaurant in the LA area. This dataset&#8217;s ontology would still require the location from the original ontology but I would also want to include the categories that I listed earlier. These additional details paint a larger picture and would allow a restauranteur to figure out what areas may have potential to start a new restaurant and do well.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The dataset I chose this week is Active Restaurants Heat Map. The dataset is registered with the Office of Finance,<\/p>\n","protected":false},"author":86,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_eb_attr":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-1531","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"jetpack_featured_media_url":"","_links":{"self":[{"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/posts\/1531","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/users\/86"}],"replies":[{"embeddable":true,"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/comments?post=1531"}],"version-history":[{"count":0,"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/posts\/1531\/revisions"}],"wp:attachment":[{"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/media?parent=1531"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/categories?post=1531"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/miriamposner.com\/classes\/dh101f17\/wp-json\/wp\/v2\/tags?post=1531"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}