{"id":7854,"date":"2022-04-05T14:45:48","date_gmt":"2022-04-05T14:45:48","guid":{"rendered":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/?post_type=article&#038;p=7854"},"modified":"2025-03-04T12:22:39","modified_gmt":"2025-03-04T06:52:39","slug":"group-bar-chart","status":"publish","type":"article","link":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/article\/group-bar-chart\/","title":{"rendered":"Group Bar Chart"},"content":{"rendered":"<p>Start with the video first to get a better grasp of the topic!<br \/>\n<iframe loading=\"lazy\" title=\"Learn to Plot Bar Chart in Nimble Analytics\" src=\"https:\/\/player.vimeo.com\/video\/849068632?dnt=1&amp;app_id=122963\" width=\"500\" height=\"313\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media\"><\/iframe><\/p>\n<table style=\"line-height: 10px; height: 77px; width: 99.2704%; border-collapse: collapse; background-color: #f7f7f7;\">\n<tbody>\n<tr style=\"height: 108px;\">\n<td style=\"width: 100%; height: 77px;\">\n<p style=\"text-align: left;\"><strong>Skip Ahead to:<\/strong><\/p>\n<p style=\"line-height: 10px; text-align: left;\"><a href=\"#Overview\">Overview<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"#Configuration\">Configuration<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Overview<\/h2>\n<p>In the Group Bar Chart, a number of bars are plotted in multiple groups to help you visualize a number of workitems across multiple categories<\/p>\n<p>It is available for the following analytics components &#8211;<\/p>\n<ul class=\"whs1\" type=\"disc\">\n<li class=\"p\">Value Vs Non-Value Added Trend<\/li>\n<li class=\"p\">Analytics Builder<\/li>\n<\/ul>\n<p><a href=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/Group_bar_chart.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-9177\" src=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/Group_bar_chart.jpg\" alt=\"\" width=\"698\" height=\"362\" srcset=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/Group_bar_chart.jpg 698w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/Group_bar_chart-300x156.jpg 300w\" sizes=\"(max-width: 698px) 100vw, 698px\" \/><\/a><\/p>\n<h2><a id=\"Configuration\"><\/a>Configuration<\/h2>\n<p>To plot a Group Bar chart, perform the following steps &#8211;<\/p>\n<ol>\n<li>Open the Analytics page and click the <b>Add Widget<\/b> icon. The <a target=\"_blank\" href=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/article\/dashboard-builder\/\" rel=\"noopener\">Analytics Builder<\/a> appears.<\/li>\n<li>Click the <b>Group Bar chart<\/b>. The\u00a0<b>Settings<\/b>\u00a0page appears.<\/li>\n<\/ol>\n<p><a href=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/Group_bar_chart_Settings.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-9178\" src=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/Group_bar_chart_Settings.jpg\" alt=\"\" width=\"850\" height=\"463\" srcset=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/Group_bar_chart_Settings.jpg 850w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/Group_bar_chart_Settings-300x163.jpg 300w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/Group_bar_chart_Settings-768x418.jpg 768w\" sizes=\"(max-width: 850px) 100vw, 850px\" \/><\/a><\/p>\n<p>3. Enter the given information in the Data Criteria and Dimension and Settings as per your requirements.<\/p>\n<ul>\n<li class=\"whs4\"><b>Widget Name<\/b>\u00a0&#8211; Modify the widget name if required.<\/li>\n<\/ul>\n<p class=\"whs5\"><b>Data Criteria<\/b><\/p>\n<ul>\n<li class=\"whs4\"><b>Select Workitem type<\/b>\u00a0&#8211; Select the workitem type for which you want to plot the chart. You can select any number of workitems for a scatter chart. If the selected workitem type has no instances in it, a message is displayed on the screen.<br \/>\n<strong>Note:\u00a0<\/strong>If you select the My Workitem option, the Release, Sprint, and Task Plan options won&#8217;t be selected as they are dependent on the form&#8217;s execution.<\/li>\n<li><b>Select workitem status &#8211; <\/b>Select the workitem status such as All, Open, Closed, etc. for the workitem types.<\/li>\n<li class=\"whs4\"><b>Select Filter<\/b> &#8211; Select the filter that you want to apply to the workitems for the scatter chart. You can also create a new filter.<\/li>\n<li class=\"whs4\"><strong>Date Range &#8211;<\/strong> The Date Range section provides flexible options for selecting date-based criteria and ranges:\n<ul>\n<li><strong>Select Date Criteria<\/strong>: Use the dropdown menu to choose how data is fetched. Options include <strong>Created on<\/strong>, <strong>Closed on<\/strong>, and <strong>Last modified on<\/strong>.<\/li>\n<li><strong>Select Date Range<\/strong>: Choose dynamic or custom date ranges to automatically display data based on the selected period. The options include &#8211; <strong>Custom dates<\/strong> ( Requires additional selection of Start Date and End Date), <strong>Current month<\/strong>, <strong>Current quarter<\/strong>, <strong>Current week<\/strong>, <strong>Current year<\/strong> and many more.<\/li>\n<li>If &#8220;Custom dates&#8221; is selected, two additional dropdowns will appear to specify the Start Date and End Date.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>Note<\/strong>: For Organization Analytics and Personal Analytics, the Date Range section will only display Start Date and End Date options.<\/p>\n<p class=\"whs5\"><b>Dimensions and Settings<\/b><\/p>\n<ul>\n<li class=\"whs4\"><b>Select aggregation<\/b> &#8211; You can aggregate the chart values based on the numeric field of the selected workitem type such as count, sum, percentage, etc.<\/li>\n<li class=\"whs4\"><b>X-axis<\/b> &#8211; Select the attribute (and its values) which you want to be plotted on the X-axis of the chart. The attribute field shows all the fields which are common in the selected workitem types.<\/li>\n<\/ul>\n<p>You can plot a trend line on the widget. The trend line toggle gets enabled only if the release, sprint, or any other date dimension is selected at the X axis.<\/p>\n<p><a href=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/GroupBarChart.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-10636 size-full\" src=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/GroupBarChart.jpg\" alt=\"\" width=\"850\" height=\"466\" srcset=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/GroupBarChart.jpg 850w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/GroupBarChart-300x164.jpg 300w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/GroupBarChart-768x421.jpg 768w\" sizes=\"(max-width: 850px) 100vw, 850px\" \/><\/a><\/p>\n<p class=\"whs4\"><a id=\"VideoReference\"><\/a>g.\u00a0<b>Group<\/b>\u00a0<b> By &#8211; <\/b>Select the attribute by which you want to group your bars (information) on the X-axis.<\/p>\n<h4>Y-Axis Intervals Adjustment<\/h4>\n<p>The Y-axis dynamically adjusts based on the data range to improve the visibility of small variations. When values range between 97-100, the Y-axis scales appropriately instead of always starting from 0, making differences easier to distinguish. The scale is computed based on the minimum and maximum values in the dataset, ensuring meaningful representation.<\/p>\n<p>For example, in a dataset with values such as 99.4, 99.7, 99.5, 97.8, 99, 98.5, and 97.9, the Y-axis adjusts to start around 90 instead of 0, making variations more apparent. This is particularly useful for tracking metrics like SLA compliance or server uptime, where values fall within a narrow range, ensuring charts effectively highlight differences. This applies to Line chart, Bar Chart, Vertical Bar chart, Horizontal Bar chart, Dual Axis-Bar Chart, and Group Bar chart.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-20668\" src=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/YaxisInterval.png\" alt=\"Y-axis Interval\" width=\"2106\" height=\"1418\" srcset=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/YaxisInterval.png 2106w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/YaxisInterval-300x202.png 300w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/YaxisInterval-1024x689.png 1024w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/YaxisInterval-768x517.png 768w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/YaxisInterval-1536x1034.png 1536w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/YaxisInterval-2048x1379.png 2048w\" sizes=\"(max-width: 2106px) 100vw, 2106px\" \/><\/p>\n<h4>Y-Axis Intervals Adjustment<\/h4>\n<p>The Y-axis dynamically adjusts based on the data range to improve the visibility of small variations. When values range between 97-100, the Y-axis scales appropriately instead of always starting from 0, making differences easier to distinguish. The scale is computed based on the minimum and maximum values in the dataset, ensuring meaningful representation.<\/p>\n<p>For example, in a dataset with values such as 99.4, 99.7, 99.5, 97.8, 99, 98.5, and 97.9, the Y-axis adjusts to start around 90 instead of 0, making variations more apparent. This is particularly useful for tracking metrics like SLA compliance or server uptime, where values fall within a narrow range, ensuring charts effectively highlight differences. This applies to Line chart, Bar Chart, Vertical Bar chart, Horizontal Bar chart, Dual Axis-Bar Chart, and Group Bar chart.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-20668\" src=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/YaxisInterval.png\" alt=\"Y-axis Interval\" width=\"2106\" height=\"1418\" srcset=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/YaxisInterval.png 2106w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/YaxisInterval-300x202.png 300w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/YaxisInterval-1024x689.png 1024w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/YaxisInterval-768x517.png 768w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/YaxisInterval-1536x1034.png 1536w, https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-content\/uploads\/2022\/04\/YaxisInterval-2048x1379.png 2048w\" sizes=\"(max-width: 2106px) 100vw, 2106px\" \/><\/p>\n<div class=\"helpful-block-content wth-theme-thumbs\" data-title=\"\" >\n<ul>\n<li><span class=\"wth-title\">Was this helpful?<\/span><\/li>\n<li><a data-post=\"7854\" data-post-url=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/article\/group-bar-chart\/\" data-post-title=\"Group Bar Chart\" data-response=\"1\" href=\"#\" class=\"wth-green-btn icon-thumbsup\">Yes<\/a>&nbsp; &nbsp;<a data-response=\"0\" data-post=\"7854\" data-post-url=\"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/article\/group-bar-chart\/\" data-post-title=\"Group Bar Chart\" href=\"#\" class=\"wth-red-btn icon-thumbsdown\">No<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"author":1,"featured_media":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","multi-rating":{"mr_rating_results":[]},"_links":{"self":[{"href":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-json\/wp\/v2\/article\/7854"}],"collection":[{"href":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-json\/wp\/v2\/article"}],"about":[{"href":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-json\/wp\/v2\/types\/article"}],"author":[{"embeddable":true,"href":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-json\/wp\/v2\/comments?post=7854"}],"version-history":[{"count":19,"href":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-json\/wp\/v2\/article\/7854\/revisions"}],"predecessor-version":[{"id":20681,"href":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-json\/wp\/v2\/article\/7854\/revisions\/20681"}],"wp:attachment":[{"href":"https:\/\/www.nimblework.com\/knowledge-base\/nimble\/wp-json\/wp\/v2\/media?parent=7854"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}