{"id":38271,"date":"2024-08-20T19:40:33","date_gmt":"2024-08-20T14:40:33","guid":{"rendered":"https:\/\/chartexpo.com\/blog\/?p=38271"},"modified":"2025-10-17T00:23:11","modified_gmt":"2025-10-16T19:23:11","slug":"pivot-table-in-power-bi","status":"publish","type":"post","link":"https:\/\/chartexpo.com\/blog\/pivot-table-in-power-bi","title":{"rendered":"Pivot Table in Power BI: Complete Guide for Data Analysis"},"content":{"rendered":"<p>A pivot table in Power BI comes in handy when you&#8217;re dealing with a large volume of data. It&#8217;s used for viewing data from different perspectives.<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/pivot-table-in-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/pivot-table-in-power-bi.jpg\" alt=\"Pivot Table in Power BI\" \/><\/a><\/div>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrYmxvZytwYitjZXhwbytQQkk2MTkrQ29tcGFyaXNvbis=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/04\/CTA-in-power-bi.jpg\" alt=\"\" width=\"205\" height=\"113\" \/><\/a> <a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrYmxvZytncytjZXhwbytDRTYxOSs=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/04\/CTA-in-google-sheets.jpg\" alt=\"\" width=\"205\" height=\"113\" \/><\/a> <a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrYmxvZyt4bCtjZXhwbytDRTYxOSs=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/04\/CTA-in-microsoft-excel.jpg\" alt=\"\" width=\"205\" height=\"113\" \/><\/a><\/div>\n<p>The goal of this guide is to introduce the reader to Pivot Table and its principles. In this guide, you&#8217;ll discover how Pivot Tables work, and how to analyze your business data.<\/p>\n<h3>Table of Contents:<\/h3>\n<ol>\n<li><a href=\"#what-is-a-pivot-table\">What is a Pivot Table?<\/a><\/li>\n<li><a href=\"#what-are-pivot-tables-used-for\">What are Pivot Tables Used for?<\/a><\/li>\n<li><a href=\"#why-do-we-create-a-power-bi-pivot-table\">Why Do We Create a Power BI Pivot Table?<\/a><\/li>\n<li><a href=\"#how-to-create-a-pivot-table-in-power-bi\">How to Create a Pivot Table in Power BI?<\/a><\/li>\n<li><a href=\"#how-to-work-with-pivot-tables-based-on-matrix-visuals\">How to Work with Pivot Tables Based on Matrix Visuals?<\/a><\/li>\n<li><a href=\"#how-to-visualize-your-data-using-power-bi\">How to Visualize Your Data Using Power BI?<\/a><\/li>\n<li><a href=\"#wrap-up\">Wrap Up<\/a><\/li>\n<\/ol>\n<p>First&#8230;<\/p>\n<h2 id=\"what-is-a-pivot-table\">What is a Pivot Table?<\/h2>\n<p>A pivot table is a statistics tool that reorganizes and summarizes selected <a href=\"https:\/\/chartexpo.com\/blog\/power-bi-sort-by-column\" target=\"_blank\" rel=\"noopener noreferrer\">rows and columns<\/a> of data in a database table or spreadsheet to generate the desired report. The database or spreadsheet is not changed, it merely turns or \u201cpivots\u201d the data so it can be viewed from multiple perspectives.<\/p>\n<p>Pivot tables are of the essence when you&#8217;re handling large data volumes that will be difficult to calculate by hand. With <a href=\"https:\/\/chartexpo.com\/blog\/power-bi-dataset\" target=\"_blank\" rel=\"noopener noreferrer\">large data volumes<\/a>, pivot tables can help you perform data processing functions like sums, ranges, outliers, or averages. The information is arranged in the table in a meaningful layout that draws attention to the key values.<\/p>\n<h2 id=\"what-are-pivot-tables-used-for\">What are Pivot Tables Used for?<\/h2>\n<p>Pivot tables are used for summarizing, analyzing, exploring, and presenting data in a concise and flexible format. Here are some key uses:<\/p>\n<ol>\n<li><strong>Data Summarization:<\/strong> It can be used to summarize large data volumes by aggregating them using operations like count, max, min, average, and sum. For instance, calculating the average product sales per region, or summing up total sales per product.<\/li>\n<li><strong>Trend Analysis: <\/strong>It&#8217;s used in <a href=\"https:\/\/chartexpo.com\/blog\/best-charts-to-show-trends-over-time\" target=\"_blank\" rel=\"noopener noreferrer\">analyzing data over time<\/a>, which is essential for <a href=\"https:\/\/chartexpo.com\/blog\/trend-analysis-examples\" target=\"_blank\" rel=\"noopener noreferrer\">effective trend analysis<\/a>. This way, it becomes easy to identify trends like decreasing or increasing sales trends over months or years.<\/li>\n<li><strong>Comparative Analysis:<\/strong> It&#8217;s used to compare data across multiple categories. For instance, comparing the sales performance between multiple products or regions.<\/li>\n<li><strong>Data Filtering:<\/strong> It filters irrelevant data to focus on specific subsets, such as using the <a href=\"https:\/\/chartexpo.com\/blog\/power-bi-cross-filter-direction\" target=\"_blank\" rel=\"noopener noreferrer\">cross-filter direction in Power BI<\/a> to ensure that filters are applied correctly across related tables. For instance, filtering sales data can show transactions from a particular period or region.<\/li>\n<li><strong>Data Categorization and Grouping:<\/strong> It&#8217;s used in grouping data into multiple categories. For instance, grouping sales data by years, quarters, or months to identify trends.<\/li>\n<\/ol>\n<h2 id=\"why-do-we-create-a-power-bi-pivot-table\">Why Do We Create a Power BI Pivot Table?<\/h2>\n<p>Here are some reasons for the creation of a Power BI pivot table.<\/p>\n<ol>\n<li><strong>Dynamic Data Visualization:<\/strong> Power BI offers a wide range of visualizations like graphs, charts, and maps. It also enables users to create interactive <a href=\"https:\/\/chartexpo.com\/blog\/power-bi-dashboard-vs-report\" target=\"_blank\" rel=\"noopener noreferrer\">dashboards and reports<\/a>.<\/li>\n<li><strong>Enhanced Data Analysis:<\/strong> The tool gives room for complex measures and calculations using Data Analysis Expressions (DAX).<\/li>\n<li><strong>Collaboration and Sharing:<\/strong> The <a href=\"https:\/\/chartexpo.com\/services\" target=\"_blank\" rel=\"noopener noreferrer\">Power BI services<\/a> give provision for <a href=\"https:\/\/chartexpo.com\/blog\/cloud-based-data-warehouse\" target=\"_blank\" rel=\"noopener noreferrer\">cloud-based sharing<\/a> where dashboards and reports are shared with stakeholders.<\/li>\n<\/ol>\n<h2 id=\"how-to-create-a-pivot-table-in-power-bi\">How to Create a Pivot Table in Power BI?<\/h2>\n<p>Pivot Table is found in Excel, but cannot be found in Power BI. However, \u201cMatrix Visualization\u201d is a great alternative to the Pivot Table in Excel. To create a Pivot, navigate to \u201cMatrix Visual.\u201d<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/matrix-visualization-after-using-pivot-table-in-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/matrix-visualization-after-using-pivot-table-in-power-bi.jpg\" alt=\"Matrix Visualization After Using Pivot Table in Power BI\" width=\"395\" \/><\/a><\/div>\n<p>After creating a Matrix, you&#8217;ll get options like Columns, Rows, and Values.<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/create-matrix-after-using-pivot-table-in-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/create-matrix-after-using-pivot-table-in-power-bi.jpg\" alt=\"Create Matrix After Using Pivot Table in Power BI\" width=\"650\" \/><\/a><\/div>\n<h2 id=\"how-to-work-with-pivot-tables-based-on-matrix-visuals\">How to Work with Pivot Tables Based on Matrix Visuals?<\/h2>\n<p>Here are key functionalities to help you get the most from your pivot tables in Power BI.<\/p>\n<h3>Sorting<\/h3>\n<p>To sort the matrix visual (pivot table), use the subtotal column or row field. To do that, click the subtotal header or row header to sort the matrix.<\/p>\n<p>A close look at the row header shows the up or down triangle that represents the column used for sorting. From the image below, the pivot table has been sorted using the \u201cColor\u201d row.<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/sort-matrix-visual-after-using-pivot-table-in-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/sort-matrix-visual-after-using-pivot-table-in-power-bi.jpg\" alt=\"Sort Matrix Visual After Using Pivot Table in Power BI\" width=\"481\" \/><\/a><\/div>\n<h3>Filtering with a Slicer<\/h3>\n<p>The Filter pane in Power BI can be used in applying general filters to the matrix visual. However, if you want a more interactive experience, you should add a <a href=\"https:\/\/chartexpo.com\/blog\/slicers-in-power-bi\" target=\"_blank\" rel=\"noopener noreferrer\">slicer in Power BI<\/a>. The slicer helps the user to filter the pivot based on other columns.<\/p>\n<p>To add a slicer, navigate to the Visualization pane and choose the Slicer visual. Add the field you desire to use for slicing the data. In this illustration, a date-based slicer is added to filter the pivot table based on quarters.<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/filtering-with-slicer-after-using-pivot-table-in-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/filtering-with-slicer-after-using-pivot-table-in-power-bi.jpg\" alt=\"Filtering with Slicer After Using Pivot Table in Power BI\" width=\"477\" \/><\/a><\/div>\n<p>The slicer is used to slice or filter the matrix visual data. For instance, a slicer has been created using the &#8220;Quarter&#8221; value from the date column. Choosing a quarter (like Qtr 1) will filter the Power BI pivot table to showcase data within that quarter only.<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/use-quarter-after-using-pivot-table-in-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/use-quarter-after-using-pivot-table-in-power-bi.jpg\" alt=\"Use Quarter After Using Pivot Table in Power BI\" width=\"456\" \/><\/a><\/div>\n<p>To customize the layout of the slicer, navigate to the formatting\u00a0pane of the Power BI.<\/p>\n<h3>Conditional Formatting<\/h3>\n<p>To apply for conditional formatting, select the matrix visual and navigate to the \u201cVisualizations\u201d pane. To see the <a href=\"https:\/\/chartexpo.com\/blog\/conditional-formatting-in-power-bi\" target=\"_blank\" rel=\"noopener\">conditional formatting Power BI<\/a> options, you&#8217;ll have to expand the \u201cCell elements\u201d section.<\/p>\n<p>You have the option of changing the icons, data bars, font color, <a href=\"https:\/\/chartexpo.com\/blog\/best-colors-for-graphs\" target=\"_blank\" rel=\"noopener noreferrer\">background color<\/a>, and website URLs. For instance, if you want to apply conditional formatting to the background color, toggle the option, and click the \u201cFx\u201d button.<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/applying-conditional-formatting-after-using-pivot-table-in-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/applying-conditional-formatting-after-using-pivot-table-in-power-bi.jpg\" alt=\"Applying Conditional Formatting After Using Pivot Table in Power BI\" width=\"213\" \/><\/a><\/div>\n<p>The various format style options are:<\/p>\n<ul>\n<li><strong>Rules:<\/strong> Custom rules help in changing the background color<\/li>\n<li><strong>Gradient:<\/strong> The background is changed based on the color scale<\/li>\n<li><strong>Field Value:<\/strong> Color is assigned based on the specific field values.<\/li>\n<\/ul>\n<p>From the illustration below, you&#8217;ll notice that the gradient-based conditional formatting has been applied, and it is based on the sum of values. After completing the settings, click &#8220;OK&#8221; to apply the formatting.<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/various-format-style-options-after-using-pivot-table-in-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/various-format-style-options-after-using-pivot-table-in-power-bi.jpg\" alt=\"Various Format Style Options After Using Pivot Table in Power BI\" width=\"650\" \/><\/a><\/div>\n<p>The result will look like the image below:<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/get-result-image-after-using-pivot-table-in-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/get-result-image-after-using-pivot-table-in-power-bi.jpg\" alt=\"Get Result Image After Using Pivot Table in Power BI\" width=\"407\" \/><\/a><\/div>\n<p>You can also create a PivotChart-like visual in Power BI by applying the data bar&#8217;s conditional formatting.<\/p>\n<h3>Data Aggregation<\/h3>\n<p>By default, the matrix visual adds all the values in the column. However, you can change the aggregation type depending on your analytical needs within the <a href=\"https:\/\/chartexpo.com\/blog\/analytical-report-template\" target=\"_blank\" rel=\"noopener noreferrer\">analytical report<\/a>. For instance, changing the average values in certain cases is possible.<\/p>\n<p>To do that, click the column name that&#8217;s found beneath the \u201cValues,\u201d and choose the aggregation type from the options below:<\/p>\n<ul>\n<li>Sum<\/li>\n<li>Average<\/li>\n<li>Maximum<\/li>\n<li>Minimum<\/li>\n<li>Count<\/li>\n<li>Count (Distinct)<\/li>\n<li>Median<\/li>\n<li>Variance<\/li>\n<li>Standard deviation.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/apply-data-aggregation-after-using-pivot-table-in-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/apply-data-aggregation-after-using-pivot-table-in-power-bi.jpg\" alt=\"Apply Data Aggregation After Using Pivot Table in Power BI\" width=\"405\" \/><\/a><\/div>\n<h3>Adding Multiple Columns, Rows, or Values<\/h3>\n<p>If you want to add another row (like Quarter) into the matrix visual, you&#8217;ll have to drag and drop the field into the \u201cRows\u201d section.<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/adding-multiple-columns-after-using-pivot-table-in-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/adding-multiple-columns-after-using-pivot-table-in-power-bi.jpg\" alt=\"Adding Multiple Columns After Using Pivot Table in Power BI\" width=\"423\" \/><\/a><\/div>\n<p>Click the + (plus) sign on the left. Alternatively, you can click on the double-headed arrow icon to expand the pivot table to all rows.<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/click-double-headed-arrow-icon-after-using-pivot-table-in-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/click-double-headed-arrow-icon-after-using-pivot-table-in-power-bi.jpg\" alt=\"Click Double Headed Arrow Icon After Using Pivot Table in Power BI\" width=\"436\" \/><\/a><\/div>\n<p>The image below shows how the Power BI pivot table with multiple rows expanded looks like:<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/multiple-rows-exapnded-after-using-pivot-table-in-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/multiple-rows-exapnded-after-using-pivot-table-in-power-bi.jpg\" alt=\"Multiple Rows Exapnded After Using Pivot Table in Power BI\" width=\"308\" \/><\/a><\/div>\n<h2 id=\"how-to-visualize-your-data-using-power-bi\">How to Visualize Your Data Using Power BI?<\/h2>\n<p><strong>Stage 1: Logging in to Power BI<\/strong><\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>Log in to Power BI.<\/li>\n<li>Enter your email address and click the \u201c<strong>Submit<\/strong>\u201d button.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/enter-email-to-login-to-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/enter-email-to-login-to-power-bi.jpg\" alt=\"Enter email to login to Power BI\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>You are redirected to your Microsoft account.<\/li>\n<li>Enter your password and click \u201c<strong>Sign in<\/strong>\u201c.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/enter-password-to-login-to-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/enter-password-to-login-to-power-bi.jpg\" alt=\"Enter Password to login to Power BI\" width=\"363\" \/><\/a><\/div>\n<ul>\n<li>You can choose whether to stay signed in.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/click-on-stay-signed-in.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/05\/click-on-stay-signed-in.jpg\" alt=\"Click on stay signed in\" width=\"392\" \/><\/a><\/div>\n<ul>\n<li>Once done, the Power BI home screen will open.<\/li>\n<\/ul>\n<h4>Stage 2: Creating a Data Set and Selecting the Data Set to Use in Your Chart<\/h4>\n<ul>\n<li>Go to the left-side menu and click the \u201c<strong>Create<\/strong>\u201d button.<\/li>\n<li>Select \u201c<strong>Paste or manually enter data<\/strong>\u201c.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/02\/select-paste-or-manually-enter-data-in-power-bi-ce487.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/02\/select-paste-or-manually-enter-data-in-power-bi-ce487.jpg\" alt=\"select Paste or manually enter data in Power BI ce487\" width=\"650\" \/><\/a><\/div>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrYmxvZytwYitjZXhwbytQQkk2MTkrQ29tcGFyaXNvbis=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/04\/CTA-in-power-bi.jpg\" alt=\"\" width=\"205\" height=\"113\" \/><\/a> <a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrYmxvZytncytjZXhwbytDRTYxOSs=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/04\/CTA-in-google-sheets.jpg\" alt=\"\" width=\"205\" height=\"113\" \/><\/a> <a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrYmxvZyt4bCtjZXhwbytDRTYxOSs=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/04\/CTA-in-microsoft-excel.jpg\" alt=\"\" width=\"205\" height=\"113\" \/><\/a><\/div>\n<ul>\n<li>We&#8217;ll use the <a href=\"https:\/\/chartexpo.com\/blog\/sample-data-for-power-bi\" target=\"_blank\" rel=\"noopener noreferrer\">sample data<\/a> below for this example.<\/li>\n<\/ul>\n<table class=\"static\" style=\"table-layout: fixed; overflow-x: auto; border: 1px; font-size: 17px;\">\n<tbody>\n<tr>\n<td width=\"64\"><strong>Country<\/strong><\/td>\n<td width=\"185\"><strong>Revenue Stream<\/strong><\/td>\n<td width=\"98\"><strong>Revenue (in $)<\/strong><\/td>\n<\/tr>\n<tr>\n<td>USA<\/td>\n<td>Digital Advertising Revenue<\/td>\n<td>39,620,000<\/td>\n<\/tr>\n<tr>\n<td>USA<\/td>\n<td>Event Marketing Revenue<\/td>\n<td>10,670,000<\/td>\n<\/tr>\n<tr>\n<td>USA<\/td>\n<td>Content Marketing Revenue<\/td>\n<td>5,580,000<\/td>\n<\/tr>\n<tr>\n<td>USA<\/td>\n<td>Print &amp; Outdoor Revenue<\/td>\n<td>455,270<\/td>\n<\/tr>\n<tr>\n<td>UK<\/td>\n<td>Digital Advertising Revenue<\/td>\n<td>40,710,000<\/td>\n<\/tr>\n<tr>\n<td>UK<\/td>\n<td>Event Marketing Revenue<\/td>\n<td>24,770,000<\/td>\n<\/tr>\n<tr>\n<td>UK<\/td>\n<td>Content Marketing Revenue<\/td>\n<td>6,330,000<\/td>\n<\/tr>\n<tr>\n<td>UK<\/td>\n<td>Print &amp; Outdoor Revenue<\/td>\n<td>552,190<\/td>\n<\/tr>\n<tr>\n<td>DNK<\/td>\n<td>Digital Advertising Revenue<\/td>\n<td>47,040,000<\/td>\n<\/tr>\n<tr>\n<td>DNK<\/td>\n<td>Event Marketing Revenue<\/td>\n<td>29,070,000<\/td>\n<\/tr>\n<tr>\n<td>DNK<\/td>\n<td>Content Marketing Revenue<\/td>\n<td>7,740,000<\/td>\n<\/tr>\n<tr>\n<td>DNK<\/td>\n<td>Print &amp; Outdoor Revenue<\/td>\n<td>600,690<\/td>\n<\/tr>\n<tr>\n<td>DNK<\/td>\n<td>Media Relations Revenue<\/td>\n<td>106,430<\/td>\n<\/tr>\n<tr>\n<td>AUS<\/td>\n<td>Digital Advertising Revenue<\/td>\n<td>53,790,000<\/td>\n<\/tr>\n<tr>\n<td>AUS<\/td>\n<td>Event Marketing Revenue<\/td>\n<td>38,530,000<\/td>\n<\/tr>\n<tr>\n<td>AUS<\/td>\n<td>Content Marketing Revenue<\/td>\n<td>6,590,000<\/td>\n<\/tr>\n<tr>\n<td>AUS<\/td>\n<td>Print &amp; Outdoor Revenue<\/td>\n<td>9,040,000<\/td>\n<\/tr>\n<tr>\n<td>AUS<\/td>\n<td>Media Relations Revenue<\/td>\n<td>6,130,000<\/td>\n<\/tr>\n<tr>\n<td>FR<\/td>\n<td>Digital Advertising Revenue<\/td>\n<td>57,860,000<\/td>\n<\/tr>\n<tr>\n<td>FR<\/td>\n<td>Event Marketing Revenue<\/td>\n<td>50,450,000<\/td>\n<\/tr>\n<tr>\n<td>FR<\/td>\n<td>Content Marketing Revenue<\/td>\n<td>3,560,000<\/td>\n<\/tr>\n<tr>\n<td>FR<\/td>\n<td>Print &amp; Outdoor Revenue<\/td>\n<td>18,790,000<\/td>\n<\/tr>\n<tr>\n<td>FR<\/td>\n<td>Media Relations Revenue<\/td>\n<td>15,460,000<\/td>\n<\/tr>\n<tr>\n<td>IND<\/td>\n<td>Digital Advertising Revenue<\/td>\n<td>60,470,000<\/td>\n<\/tr>\n<tr>\n<td>IND<\/td>\n<td>Event Marketing Revenue<\/td>\n<td>63,200,000<\/td>\n<\/tr>\n<tr>\n<td>IND<\/td>\n<td>Content Marketing Revenue<\/td>\n<td>2,080,000<\/td>\n<\/tr>\n<tr>\n<td>IND<\/td>\n<td>Print &amp; Outdoor Revenue<\/td>\n<td>29,500,000<\/td>\n<\/tr>\n<tr>\n<td>IND<\/td>\n<td>Media Relations Revenue<\/td>\n<td>30,020,000<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<ul>\n<li>Paste the data table into the \u201cPower Query\u201d window<\/li>\n<li>Choose the \u201cCreate a dataset only\u201d option.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/click-create-a-dataset-only-after-using-pivot-table-in-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/click-create-a-dataset-only-after-using-pivot-table-in-power-bi.jpg\" alt=\"Click Create a Dataset Only After Using Pivot Table in Power BI\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>Navigate to the left-side menu, and click the &#8220;Data Hub&#8221; option. After that, Power BI will populate the data set list. If no data set has been created, you&#8217;ll get an error message. Next, click &#8220;Create report.&#8221;<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/click-create-report-after-using-pivot-table-in-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/click-create-report-after-using-pivot-table-in-power-bi.jpg\" alt=\"Click Create Report After Using Pivot Table in Power BI\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>To see the chart metrics, click &#8220;Expand All.&#8221; You can also check the dimensions and metrics.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/expand-chart-metrics-after-using-pivot-table-in-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/expand-chart-metrics-after-using-pivot-table-in-power-bi.jpg\" alt=\"Expand Chart Metrics After Using Pivot Table in Power BI\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>Click the \u201cGet more visuals.\u201d Next, search ChartExpo and select <a href=\"https:\/\/chartexpo.com\/blog\/types-of-comparison-charts\" target=\"_blank\" rel=\"noopener noreferrer\">Comparison Bar Chart<\/a>.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/click-get-more-visuals-after-using-pivot-table-in-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/click-get-more-visuals-after-using-pivot-table-in-power-bi.jpg\" alt=\"Click Get More Visuals After Using Pivot Table in Power BI\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>Click \u201cAdd.\u201d<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/click-add-button-after-using-pivot-table-in-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/click-add-button-after-using-pivot-table-in-power-bi.jpg\" alt=\"Click Add Button After Using Pivot Table in Power BI\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>After that, you&#8217;ll get the Comparison Bar Chart in the visuals list:<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/get-comparison-bar-chart-after-using-pivot-table-in-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/get-comparison-bar-chart-after-using-pivot-table-in-power-bi.jpg\" alt=\"Get Comparison Bar Chart After Using Pivot Table in Power BI\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>Click on the License Settings and add the key. Next, the comparison bar chart will be displayed.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/add-license-key-after-using-pivot-table-in-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/add-license-key-after-using-pivot-table-in-power-bi.jpg\" alt=\"Add License Key After Using Pivot Table in Power BI\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>Here&#8217;s what the Comparison Bar Chart in Power BI looks like:<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/final-pivot-table-in-power-bi.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/08\/final-pivot-table-in-power-bi.jpg\" alt=\"Final Pivot Table in Power BI\" width=\"650\" \/><\/a><\/div>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrYmxvZytwYitjZXhwbytQQkk2MTkrQ29tcGFyaXNvbis=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/04\/CTA-in-power-bi.jpg\" alt=\"\" width=\"205\" height=\"113\" \/><\/a> <a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrYmxvZytncytjZXhwbytDRTYxOSs=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/04\/CTA-in-google-sheets.jpg\" alt=\"\" width=\"205\" height=\"113\" \/><\/a> <a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrYmxvZyt4bCtjZXhwbytDRTYxOSs=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/04\/CTA-in-microsoft-excel.jpg\" alt=\"\" width=\"205\" height=\"113\" \/><\/a><\/div>\n<h4>Insights<\/h4>\n<p>Here are three insights from the chart:<\/p>\n<ul>\n<li>The country with the highest total revenue is India, followed by France, Australia, and Denmark.<\/li>\n<li>\u201cDigital Advertising\u201d is a significant revenue contributor in most countries, but \u201cEvent Marketing\u201d is the leading revenue contributor in India.<\/li>\n<li>Countries like the US and UK have no \u201cMedia Relations\u201d revenue stream.<\/li>\n<\/ul>\n<h3>Elevate Your Data Analysis with Mastery of Pivot Tables in Power BI:<\/h3>\n<p>Learn about Pivot Tables in Power BI through this video, an essential tool for <a href=\"https:\/\/chartexpo.com\/blog\/pivot-reporting\" target=\"_blank\" rel=\"noopener noreferrer\">pivot reporting<\/a>, data aggregation, and detailed analysis. Mastering Pivot Tables will enable you to create structured reports and uncover valuable insights from your data.<\/p>\n<p><iframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/gnJlRjtdrjc?si=rO4iG4RttRm4E_zP\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<h2>FAQs<\/h2>\n<h3>Can you use a pivot table in Power BI?<\/h3>\n<p>Yes, Power BI helps in the creation of pivot tables for data visualization and analysis.<\/p>\n<h3>Is Power BI similar to a pivot table?<\/h3>\n<p>Power BI offers more than the traditional pivot table. It offers advanced data modeling, sharing features, and visualization. It also provides a more dynamic and comprehensive analytical platform.<\/p>\n<h3>Is there a Pivot Table visual in Power BI?<\/h3>\n<p>Yes, the &#8220;Matrix&#8221; visual is similar to the Pivot Table. It allows users to analyze and summarize data across columns, rows, and values.<\/p>\n<h4 id=\"wrap-up\">Wrap Up<\/h4>\n<p>The pivot table in Power BI is a data summarization tool that helps in analyzing and organizing data from spreadsheets or databases. It enables dynamic data visualization and analysis. This will, in turn, help stakeholders make informed decisions.<\/p>\n<p>Pivot tables are used to identify trends and filter data. Cases like decreasing or increasing sales trends can be identified by merely analyzing data using the Pivot table. The pivot table is also used to filter out irrelevant data. For instance, it can be used to filter sales data to show transactions within a period.<\/p>\n<p>By following the steps outlined in this guide, you&#8217;ll be able to create compelling visualization in Power BI. And in no time, become proficient in using Power BI.<\/p>\n<p>Now you know what pivot table in Power BI is, what kind of data will you be analyzing with the tool?<\/p>\n","protected":false},"excerpt":{"rendered":"<p><p>Understand how Pivot Table in Power BI can revolutionize your analysis process. Learn to create pivot tables that provide insights &#038; support strategic decisions.<\/p>\n&nbsp;&nbsp;<a href=\"https:\/\/chartexpo.com\/blog\/pivot-table-in-power-bi\"><\/a><\/p>","protected":false},"author":1,"featured_media":38281,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1017],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\r\n<title>Pivot Table in Power BI: Complete Guide for Data Analysis -<\/title>\r\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\r\n<link rel=\"canonical\" href=\"https:\/\/chartexpo.com\/blog\/pivot-table-in-power-bi\" \/>\r\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\r\n<meta name=\"twitter:title\" content=\"Pivot Table in Power BI: Complete Guide for Data Analysis -\" \/>\r\n<meta name=\"twitter:description\" content=\"Understand how Pivot Table in Power BI can revolutionize your analysis process. 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