{"id":29140,"date":"2019-08-08T08:05:47","date_gmt":"2019-08-08T14:05:47","guid":{"rendered":"https:\/\/lab.future-iq.com\/?page_id=29140\/"},"modified":"2020-02-07T07:35:41","modified_gmt":"2020-02-07T14:35:41","slug":"key-factors-age-group-and-ethnicity-cohort-data","status":"publish","type":"page","link":"https:\/\/lab.future-iq.com\/park-city-community-visioning-2020\/data-visualization\/community-survey\/interactive-charts\/key-factors-age-group-and-ethnicity-cohort-data\/","title":{"rendered":"Key Factors \u2013 Age Group and Ethnicity Cohort Data"},"content":{"rendered":"
Importance of Topic (X Axis) x Performance (Y Axis)<\/h1>[vc_column_text]This chart explores the responses based on age and ethnicity. Like in the \u2018Key Factor \u2013 Average Data\u2019 chart, it combines responses to two questions to create an interactive scatter plot. This visualization shows response data as it relates to all 14 topics. This chart presents the result distribution based on age and ethnicity of Cohorts of respondents.<\/p>\n
\n
X-Axis is the response to the question \u201cHow important do you think the following topics will be to Park City over the next 10 years?\u201d. The scale is: 1 = Not Important; 10 = Critically Important<\/li>\n
Y-Axis is the response to the question \u201cHow good a job is Park City currently doing on these topics?\u201d. The scale is: 1 = Doing a very poor job; 10 = Doing an excellent job<\/li>\n<\/ul>\n
[\/vc_column_text]
Key things to note:<\/h3>[vc_row_inner][vc_column_inner width=”1\/6″ css=”.vc_custom_1515251925404{padding-right: 0px !important;}”]