{"id":477,"date":"2017-01-28T19:49:34","date_gmt":"2017-01-28T19:49:34","guid":{"rendered":"https:\/\/blogs.scu.edu\/dataviz\/?p=477"},"modified":"2017-01-28T19:49:34","modified_gmt":"2017-01-28T19:49:34","slug":"san-francisco-uber-commuters-route","status":"publish","type":"post","link":"https:\/\/blogs.scu.edu\/dataviz\/2017\/01\/28\/san-francisco-uber-commuters-route\/","title":{"rendered":"San Francisco Uber Commuters\u2019 Route"},"content":{"rendered":"

Uber did an interesting study of San Francisco\u2019s Commute flow. They raised a question: Where do people work and play?They created a map chart showing the probability that a ride stars in neighborhood and ends in another.<\/p>\n

They created a map chart <\/a>showing the probability that a ride stars in neighborhood and ends in another.<\/p>\n

This map clearly explains the route that commuters travel from one neighborhood to another. Moreover, the size of circles represents the proportion of ride that goes from the source neighborhood to its target. Uber got a conclusion that almost all the action is going on between neighborhoods in a radius around downtown.<\/p>\n

By viewing the data in alternative graph<\/a>, we can see more details that what are the major neighborhoods people travel from and their target. Moreover, it changes what we conceive from same data.<\/p>\n

This picture clearly presents:<\/p>\n

    \n
  1. Individual connection. The route from a certain district to another. Although it can\u2019t show the geographical position, it presents the clusters and central components of data.<\/li>\n
  2. It effectively shows that the frequency of rides between two neighborhoods.<\/li>\n
  3. Although San Francisco\u2019s 35 districts show up simultaneously on a single map, it looks like they scatter in different areas. However, the\u00a0circle shows that those districts united as a city.<\/li>\n<\/ol>\n

    Reference:<\/p>\n

      \n
    1. https:\/\/newsroom.uber.com\/us-california\/uberdata-san-franciscomics\/<\/li>\n
    2. https:\/\/bost.ocks.org\/mike\/uberdata\/<\/li>\n<\/ol>\n

       <\/p>\n","protected":false},"excerpt":{"rendered":"

      Uber did an interesting study of San Francisco\u2019s Commute flow. They raised a question: Where do people work and play?They created a map chart showing the probability that a ride stars in neighborhood and ends in another. They created a map chart showing the probability that a ride stars in neighborhood and ends in another. … Continue reading San Francisco Uber Commuters\u2019 Route<\/span><\/a><\/p>\n","protected":false},"author":1685,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"qubely_global_settings":"","qubely_interactions":"","kk_blocks_editor_width":"","_kiokenblocks_attr":"","_kiokenblocks_dimensions":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-477","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"gutentor_comment":0,"qubely_featured_image_url":null,"qubely_author":{"display_name":"wsun","author_link":"https:\/\/blogs.scu.edu\/dataviz\/author\/wsun\/"},"qubely_comment":0,"qubely_category":"Uncategorized<\/a>","qubely_excerpt":"Uber did an interesting study of San Francisco\u2019s Commute flow. They raised a question: Where do people work and play?They created a map chart showing the probability that a ride stars in neighborhood and ends in another. They created a map chart showing the probability that a ride stars in neighborhood and ends in another.…","post_mailing_queue_ids":[],"_links":{"self":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/477","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/users\/1685"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/comments?post=477"}],"version-history":[{"count":1,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/477\/revisions"}],"predecessor-version":[{"id":478,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/477\/revisions\/478"}],"wp:attachment":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/media?parent=477"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/categories?post=477"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/tags?post=477"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}