{"id":649,"date":"2020-09-22T02:30:31","date_gmt":"2020-09-22T02:30:31","guid":{"rendered":"https:\/\/helper.divominer.com\/hkbucomm\/index.php\/docs\/divominer-user-manual-2\/statistical-analysis\/scatter-plot\/"},"modified":"2022-07-04T07:00:58","modified_gmt":"2022-07-04T07:00:58","slug":"scatter-chart","status":"publish","type":"docs","link":"https:\/\/helper.divominer.com\/hkbucomm\/blog\/docs\/divominer-user-manual\/statistical-analysis\/scatter-chart\/","title":{"rendered":"Dot Chart"},"content":{"rendered":"\n<p><span lang=\"EN-US\">The Dot Chart is a type of plot or mathematical diagram using Cartesian coordinates to display values for typically two variables for a set of data.. The Dot Chart shows the general trend of the dependent variable changing with the independent variable. Based on this, you can select a suitable equation for the data point to fit. Use two sets of data to form multiple coordinate points; examine the distribution of coordinate points; observe whether there is a certain correlation between the two variables, or summarize the distribution pattern of coordinate points. A Dot Chart displays the series as a set of points. The value is represented by the position of the point in the graph. As shown in the figure below:<\/span><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"572\" src=\"https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/17-1-1024x572.png\" alt=\"\" class=\"wp-image-9822\" srcset=\"https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/17-1-1024x572.png 1024w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/17-1-300x168.png 300w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/17-1-768x429.png 768w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/17-1-50x28.png 50w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/17-1-920x514.png 920w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/17-1-600x335.png 600w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/17-1-320x179.png 320w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/17-1.png 1086w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n","protected":false},"featured_media":0,"parent":573,"menu_order":26,"comment_status":"open","ping_status":"closed","template":"","doc_tag":[],"_links":{"self":[{"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs\/649"}],"collection":[{"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs"}],"about":[{"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/types\/docs"}],"replies":[{"embeddable":true,"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/comments?post=649"}],"version-history":[{"count":14,"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs\/649\/revisions"}],"predecessor-version":[{"id":9823,"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs\/649\/revisions\/9823"}],"up":[{"embeddable":true,"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs\/573"}],"prev":[{"title":"Heat map","link":"https:\/\/helper.divominer.com\/hkbucomm\/blog\/docs\/divominer-user-manual\/statistical-analysis\/heat-map\/","href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs\/651"}],"wp:attachment":[{"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/media?parent=649"}],"wp:term":[{"taxonomy":"doc_tag","embeddable":true,"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/doc_tag?post=649"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}