{"id":611,"date":"2020-09-22T02:29:59","date_gmt":"2020-09-22T02:29:59","guid":{"rendered":"https:\/\/helper.divominer.com\/hkbucomm\/index.php\/docs\/divominer-user-manual-2\/statistical-analysis\/chart-type\/"},"modified":"2022-07-04T07:00:58","modified_gmt":"2022-07-04T07:00:58","slug":"chart-type","status":"publish","type":"docs","link":"https:\/\/helper.divominer.com\/hkbucomm\/blog\/docs\/divominer-user-manual\/statistical-analysis\/chart-type\/","title":{"rendered":"Chart type"},"content":{"rendered":"\n<p><span lang=\"EN-US\">Chart types include [Table], [Cross Table], [Bar Chart], [<span lang=\"EN-US\">Line Chart<\/span>], [<span lang=\"EN-US\">Pie Chart<\/span>], [Word Cloud], [Sankey iagram]<\/span>, <span lang=\"EN-US\">[Radar], [Heat map]<\/span> and <span lang=\"EN-US\">[Dot Chart]. Users can choose the corresponding chart type according to their needs. After placing the variables in the \u201cDimension\u201d and \u201cValue\u201d fields, the data analysis results are presented in a table form by default. Select the desired chart style in the \u201cChart Type\u201d on the right. Hover the mouse over a chart icon, and the chart type description will be shown.<\/span><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"541\" src=\"https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/10-1-1024x541.png\" alt=\"\" class=\"wp-image-9809\" srcset=\"https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/10-1-1024x541.png 1024w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/10-1-300x159.png 300w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/10-1-768x406.png 768w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/10-1-50x26.png 50w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/10-1-920x486.png 920w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/10-1-600x317.png 600w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/10-1-320x169.png 320w, https:\/\/helper.divominer.com\/hkbucomm\/wp-content\/uploads\/sites\/3\/2022\/07\/10-1.png 1362w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<ul><li>Table: A statistical chart composed of one or more rows to display numbers and other parameters for quick reference and analysis.<\/li><li><span lang=\"EN-US\">Cross Table<\/span>: a cross-table arranges two variables in the row and column dimension respectively. The intersection of the rows and columns is the data in different categories belonging to both variables.<\/li><li><span lang=\"EN-US\">Bar Chart<\/span>: A statistical chart that uses the height of a rectangle as a variable to describe the graph. A series of vertical stripes with different heights represent the data distribution.<\/li><li>Line Chart: A line chart is a graphic formed by connecting various data points with straight-line segments, which displays the trend of data changes in a connected line. The line chart can display continuous data that changes over time (in a common scale setting).<\/li><li>Pie Chart: A circular statistical chart divided into several sectors, used to describe the relative relationship between volume, frequency, or percentage. In a pie chart, the arc length of each sector is a ratio of the number it represents. Together, these sectors form a complete circle.<\/li><li>Word Cloud: A type of visualization highlighting the keywords that appear frequently in the text. It displays words and phrases from small to large size to demonstrate how frequently they appear, forming a cloud-like color graphic with \u201ckeyword cloud layer\u201d or \u201ckeyword rendering\u201d.<\/li><li>Sankey: A specific type of data flowchart. The width of the branch in the figure corresponds to the size of the dataflow.<\/li><li>Radar: A radar is a graphical method of displaying multivariate data in the form of a two-dimensional chart of three or more quantitative variables on an axis starting from the same point. It is also called spider or web chart.<\/li><li>Heat Map: A statistical graph that displays the relative magnitude of the dimensional data in the form of special color highlighting.<\/li><li>Dot Chart: The scatter 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 scatter graph 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 scatter graph displays the series as a set of points. The value is represented by the position of the point in the graph.<\/li><\/ul>\n\n\n\n<p><\/p>\n","protected":false},"featured_media":0,"parent":573,"menu_order":8,"comment_status":"open","ping_status":"closed","template":"","doc_tag":[],"_links":{"self":[{"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs\/611"}],"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=611"}],"version-history":[{"count":127,"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs\/611\/revisions"}],"predecessor-version":[{"id":9810,"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs\/611\/revisions\/9810"}],"up":[{"embeddable":true,"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs\/573"}],"next":[{"title":"Table","link":"https:\/\/helper.divominer.com\/hkbucomm\/blog\/docs\/divominer-user-manual\/statistical-analysis\/table\/","href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs\/619"}],"prev":[{"title":"Granger causality","link":"https:\/\/helper.divominer.com\/hkbucomm\/blog\/docs\/divominer-user-manual\/statistical-analysis\/granger-causality\/","href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/docs\/661"}],"wp:attachment":[{"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/media?parent=611"}],"wp:term":[{"taxonomy":"doc_tag","embeddable":true,"href":"https:\/\/helper.divominer.com\/hkbucomm\/wp-json\/wp\/v2\/doc_tag?post=611"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}