Volume 17, Issue 3
  • ISSN 0142-5471
  • E-ISSN: 1569-979X
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In the context of data on cities, we present an example of how to make statistics relevant and meaningful to non-expert users. While the cities of the world are emerging as key players in global processes, from climate change to migration, the body of data on the cities of the world is neither extensive nor well-organized. Towards the end of organizing, understanding, and presenting this data, we have created an online framework called CityRank. To make this data relevant to users, CityRank allows users to upload new data sets and create and share personalized rankings of cities based on the data included in CityRank’s data repository.


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  • Article Type: Research Article
Keyword(s): city; indicator; personal statistics; ranking; user-generated; world city
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