{"id":30454,"date":"2019-08-23T15:01:24","date_gmt":"2019-08-23T21:01:24","guid":{"rendered":"https:\/\/lab.future-iq.com\/?page_id=30454\/"},"modified":"2019-08-26T14:49:06","modified_gmt":"2019-08-26T20:49:06","slug":"perception-of-trends-cohort-data","status":"publish","type":"page","link":"https:\/\/lab.future-iq.com\/mitchell-forward-2040\/youth-survey\/interactive-charts\/perception-of-trends-cohort-data\/","title":{"rendered":"Perception of Trends \u2013 Cohort Data"},"content":{"rendered":"<p>[vc_row top_padding=&#8221;100&#8243; bottom_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/4&#8243;]<div class=\"single_image wpb_content_element align-left  animate image_box_circle image_box_border image_zoom\" data-animation=\"fade-in-from-left\" data-delay=\"0\"><img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"600\" src=\"https:\/\/lab.future-iq.com\/wp-content\/uploads\/2019\/08\/MY_8.jpg\" class=\"attachment-full\" alt=\"\" srcset=\"https:\/\/lab.future-iq.com\/wp-content\/uploads\/2019\/08\/MY_8.jpg 600w, https:\/\/lab.future-iq.com\/wp-content\/uploads\/2019\/08\/MY_8-150x150.jpg 150w, https:\/\/lab.future-iq.com\/wp-content\/uploads\/2019\/08\/MY_8-300x300.jpg 300w, https:\/\/lab.future-iq.com\/wp-content\/uploads\/2019\/08\/MY_8-80x80.jpg 80w, https:\/\/lab.future-iq.com\/wp-content\/uploads\/2019\/08\/MY_8-500x500.jpg 500w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/div>[\/vc_column][vc_column width=&#8221;3\/4&#8243;]<div class=\"spacer\" style=\"height: 40px;\"><\/div><h1 class=\"headline font-inherit fontsize-xl fontweight-inherit lh-inherit align-left transform-inherit \" style=\"margin: 0 0 20px 0;\">Nature of Impact (X Axis) x Scale of Impact of Major Trends (Y Axis) x Number of Respondents (Circle Size)<\/h1>[vc_column_text]This chart explore the responses based on age and residency cohorts. Like in the \u2018Perception of Trends \u2013 All 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 4 topics. This chart presents the result distribution based on age and residency cohorts of respondents.<\/p>\n<p>The chart is structured as follows:<\/p>\n<ul>\n<li>X-Axis is the response to the question \u201cWhat do you think will be the nature of the impact (Negative or Positive) of these macro trends on your life and future prospects? Scale: 1 = very negative; 10 = Very positive.<\/li>\n<li>Y-Axis is the response to the question \u201cIn the next 10 years, how large an impact do you think the following emerging trend areas will have on your life and future prospects?Scale: 1 = No impact; 10 = Massive impact.<\/li>\n<\/ul>\n<p>[\/vc_column_text]<h3 class=\"headline font-inherit fontsize-m fontweight-inherit lh-inherit align-left transform-inherit \" style=\"margin: 0 0 20px 0;\">Key things to note:<\/h3>[vc_row_inner][vc_column_inner width=&#8221;1\/6&#8243; css=&#8221;.vc_custom_1515251925404{padding-right: 0px !important;}&#8221;]<div class=\"single_image wpb_content_element align-left  animate  image_zoom\" data-animation=\"fade-in-from-left\" data-delay=\"0\"><a href=\"http:\/\/future-iq.com\/specialised-methodology\/data-visualisation-services\/\" target=\"_blank\"><img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"800\" src=\"https:\/\/lab.future-iq.com\/wp-content\/uploads\/2018\/01\/data-insights-icon-600.png\" class=\"attachment-full\" alt=\"\" srcset=\"https:\/\/lab.future-iq.com\/wp-content\/uploads\/2018\/01\/data-insights-icon-600.png 600w, https:\/\/lab.future-iq.com\/wp-content\/uploads\/2018\/01\/data-insights-icon-600-225x300.png 225w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/a><\/div>[\/vc_column_inner][vc_column_inner width=&#8221;5\/6&#8243;][vc_column_text]<\/p>\n<ul>\n<li>The cohort data is very similar to the average date results, with a fairly tight concentration of responses.<\/li>\n<li>Some cohorts that live on farms or in surrounding towns, show a more negative perception about the Nature of change.<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row][vc_column width=&#8221;1\/1&#8243;]<div class=\"newdivider align-center\" style=\"border-bottom-style: dotted; border-color: #999999; border-bottom-width: 1px; margin-top: 20px; margin-bottom: 40px; width: 100%; \"><\/div><div class=\"clear\"><\/div>[vc_raw_js]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[\/vc_raw_js][\/vc_column][\/vc_row][vc_row top_padding=&#8221;100&#8243; bottom_padding=&#8221;100&#8243;][vc_column width=&#8221;1\/6&#8243;]<a href=\"\/mitchell-forward-2040\/youth-survey\/interactive-charts\/perception-of-trends-all-data-average-results\/\" target=\"_self\" class=\"button color-1 medium \" style=\"border-radius: 2px;\">\u00ab Previous<\/a>[\/vc_column][vc_column width=&#8221;2\/3&#8243;][\/vc_column][vc_column text_align=&#8221;right&#8221; width=&#8221;1\/6&#8243;][\/vc_column][\/vc_row][vc_row type=&#8221;full_width_section&#8221; top_padding=&#8221;120&#8243;][vc_column width=&#8221;1\/6&#8243;]<div class=\"single_image wpb_content_element align-left   \" data-animation=\"none\" data-delay=\"0\"><img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"400\" src=\"https:\/\/lab.future-iq.com\/wp-content\/uploads\/2019\/02\/mitchell-photo-strip-1-600x400.jpg\" class=\"attachment-full\" alt=\"\" srcset=\"https:\/\/lab.future-iq.com\/wp-content\/uploads\/2019\/02\/mitchell-photo-strip-1-600x400.jpg 600w, https:\/\/lab.future-iq.com\/wp-content\/uploads\/2019\/02\/mitchell-photo-strip-1-600x400-300x200.jpg 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/div>[\/vc_column][vc_column width=&#8221;1\/6&#8243;]<div class=\"single_image wpb_content_element align-left   \" data-animation=\"none\" data-delay=\"0\"><img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"400\" src=\"https:\/\/lab.future-iq.com\/wp-content\/uploads\/2019\/02\/mitchell-photo-strip-2-600x400.jpg\" class=\"attachment-full\" alt=\"\" srcset=\"https:\/\/lab.future-iq.com\/wp-content\/uploads\/2019\/02\/mitchell-photo-strip-2-600x400.jpg 600w, https:\/\/lab.future-iq.com\/wp-content\/uploads\/2019\/02\/mitchell-photo-strip-2-600x400-300x200.jpg 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/div>[\/vc_column][vc_column width=&#8221;1\/6&#8243;]<div class=\"single_image wpb_content_element align-left   \" data-animation=\"none\" data-delay=\"0\"><img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"400\" src=\"https:\/\/lab.future-iq.com\/wp-content\/uploads\/2019\/02\/mitchell-photo-strip-5-600x400.jpg\" class=\"attachment-full\" alt=\"\" srcset=\"https:\/\/lab.future-iq.com\/wp-content\/uploads\/2019\/02\/mitchell-photo-strip-5-600x400.jpg 600w, https:\/\/lab.future-iq.com\/wp-content\/uploads\/2019\/02\/mitchell-photo-strip-5-600x400-300x200.jpg 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/div>[\/vc_column][vc_column width=&#8221;1\/6&#8243;]<div class=\"single_image wpb_content_element align-left   \" data-animation=\"none\" data-delay=\"0\"><img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"400\" src=\"https:\/\/lab.future-iq.com\/wp-content\/uploads\/2019\/02\/mitchell-photo-strip-3-600x400.jpg\" class=\"attachment-full\" alt=\"\" srcset=\"https:\/\/lab.future-iq.com\/wp-content\/uploads\/2019\/02\/mitchell-photo-strip-3-600x400.jpg 600w, https:\/\/lab.future-iq.com\/wp-content\/uploads\/2019\/02\/mitchell-photo-strip-3-600x400-300x200.jpg 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/div>[\/vc_column][vc_column width=&#8221;1\/6&#8243;]<div class=\"single_image wpb_content_element align-left   \" data-animation=\"none\" data-delay=\"0\"><img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"400\" src=\"https:\/\/lab.future-iq.com\/wp-content\/uploads\/2019\/02\/mitchell-photo-strip-4-600x400.jpg\" class=\"attachment-full\" alt=\"\" srcset=\"https:\/\/lab.future-iq.com\/wp-content\/uploads\/2019\/02\/mitchell-photo-strip-4-600x400.jpg 600w, https:\/\/lab.future-iq.com\/wp-content\/uploads\/2019\/02\/mitchell-photo-strip-4-600x400-300x200.jpg 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/div>[\/vc_column][vc_column width=&#8221;1\/6&#8243;]<div class=\"single_image wpb_content_element align-left   \" data-animation=\"none\" data-delay=\"0\"><img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"400\" src=\"https:\/\/lab.future-iq.com\/wp-content\/uploads\/2019\/02\/mitchell-photo-strip-6-600x400.jpg\" class=\"attachment-full\" alt=\"\" srcset=\"https:\/\/lab.future-iq.com\/wp-content\/uploads\/2019\/02\/mitchell-photo-strip-6-600x400.jpg 600w, https:\/\/lab.future-iq.com\/wp-content\/uploads\/2019\/02\/mitchell-photo-strip-6-600x400-300x200.jpg 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/div>[\/vc_column][\/vc_row][vc_row bg_color=&#8221;#333333&#8243; text_color=&#8221;light&#8221; top_padding=&#8221;60&#8243; bottom_padding=&#8221;60&#8243; class=&#8221;full-width-bg-image&#8221;][vc_column width=&#8221;1\/2&#8243;]<h2 class=\"headline font-inherit fontsize-xl fontweight-inherit lh-inherit align-left transform-uppercase \" style=\"margin: 0 0 20px 0; color: #ffffff;\">More Information<\/h2>[vc_column_text]<strong>For more information about Forward 2040, please contact:<\/strong><\/p>\n<p><strong>Stephanie Ellwein<\/strong>, City Administrator<br \/>\nCity of Mitchell City Hall<br \/>\n612 North Main Street<br \/>\nMitchell, SD 57301<br \/>\nTel: 605.995.8143<br \/>\n<a style=\"color: #ffffff;\" href=\"mailto:sellwein@cityofmitchell.org\">sellwein@cityofmitchell.org<\/a>[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/2&#8243;]<h2 class=\"headline font-inherit fontsize-xl fontweight-inherit lh-inherit align-left transform-uppercase \" style=\"margin: 0 0 20px 0; color: #ffffff;\">More Information<\/h2>[vc_column_text]<strong>For more information about the overall project:<\/strong><\/p>\n<p><strong>Heather Branigin<\/strong>, Project Manager<br \/>\nFuture iQ<br \/>\n<a style=\"color: #ffffff;\" href=\"mailto:heather@future-iq.com\">heather@future-iq.com<\/a>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[vc_row top_padding=&#8221;100&#8243; bottom_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/4&#8243;][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_column_text]This chart explore the responses based on age and residency cohorts. Like in the \u2018Perception of Trends \u2013 All 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 4 topics. This chart presents the result distribution based on age and residency cohorts of respondents. The chart is structured as follows: X-Axis is the response to the question \u201cWhat do you think will be the nature of the impact (Negative or Positive) of these macro trends on your life and future prospects? Scale: 1 = very negative; 10 = Very positive. Y-Axis is the response to the question \u201cIn the next 10 years, how large an impact do you think the following emerging trend areas will have on your life and future prospects?Scale: 1 = No impact; 10 = Massive impact. [\/vc_column_text][vc_row_inner][vc_column_inner width=&#8221;1\/6&#8243; css=&#8221;.vc_custom_1515251925404{padding-right: 0px !important;}&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;5\/6&#8243;][vc_column_text] The cohort data is very similar to the average date results, with a fairly tight concentration of responses. Some cohorts that live on farms or in surrounding towns, show a more negative perception about the Nature of change. [\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row][vc_column width=&#8221;1\/1&#8243;][vc_raw_js]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[\/vc_raw_js][\/vc_column][\/vc_row][vc_row top_padding=&#8221;100&#8243; 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bottom_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/4&#8243;][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_column_text]This chart explore the responses based on age and residency cohorts. Like in the \u2018Perception of Trends \u2013 All 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 4 topics. This chart presents the result distribution based on age and residency cohorts of respondents. The chart is structured as follows: X-Axis is the response to the question \u201cWhat do you think will be the nature of the impact (Negative or Positive) of these macro trends on your life and future prospects? Scale: 1 = very negative; 10 = Very positive. Y-Axis is the response to the question \u201cIn the next 10 years, how large an impact do you think the following emerging trend areas will have on your life and future prospects?Scale: 1 = No impact; 10 = Massive impact. [\/vc_column_text][vc_row_inner][vc_column_inner width=&#8221;1\/6&#8243; css=&#8221;.vc_custom_1515251925404{padding-right: 0px !important;}&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;5\/6&#8243;][vc_column_text] The cohort data is very similar to the average date results, with a fairly tight concentration of responses. Some cohorts that live on farms or in surrounding towns, show a more negative perception about the Nature of change. 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bottom_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/4&#8243;][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_column_text]This chart explore the responses based on age and residency cohorts. Like in the \u2018Perception of Trends \u2013 All 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 4 topics. This chart presents the result distribution based on age and residency cohorts of respondents. The chart is structured as follows: X-Axis is the response to the question \u201cWhat do you think will be the nature of the impact (Negative or Positive) of these macro trends on your life and future prospects? Scale: 1 = very negative; 10 = Very positive. Y-Axis is the response to the question \u201cIn the next 10 years, how large an impact do you think the following emerging trend areas will have on your life and future prospects?Scale: 1 = No impact; 10 = Massive impact. [\/vc_column_text][vc_row_inner][vc_column_inner width=&#8221;1\/6&#8243; css=&#8221;.vc_custom_1515251925404{padding-right: 0px !important;}&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;5\/6&#8243;][vc_column_text] The cohort data is very similar to the average date results, with a fairly tight concentration of responses. Some cohorts that live on farms or in surrounding towns, show a more negative perception about the Nature of change. 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