{"id":41734,"date":"2024-10-10T20:22:35","date_gmt":"2024-10-10T15:22:35","guid":{"rendered":"https:\/\/chartexpo.com\/blog\/?p=41734"},"modified":"2025-11-19T12:42:24","modified_gmt":"2025-11-19T07:42:24","slug":"power-bi-vs-power-query","status":"publish","type":"post","link":"https:\/\/chartexpo.com\/blog\/power-bi-vs-power-query","title":{"rendered":"Power BI vs. Power Query: Understanding Key Differences"},"content":{"rendered":"<p>Power BI is a business analytics tool from Microsoft that helps users visualize and share insights from their data. It integrates with multiple data sources and provides interactive dashboards and reports. In this guide, you&#8217;ll see the comparison between Power BI vs Power Query.<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/power-bi-vs-power-query.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/power-bi-vs-power-query.jpg\" alt=\"Power BI vs Power Query\" \/><\/a><\/div>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrYmxvZytwYitjZXhwbytQQkk2NTYrU2Fua2V5Kw==\" 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\/MTYrYmxvZytncytjZXhwbytDRTY1Nis=\" 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\/TrafficTracker\/MTYrYmxvZytzZStjZXhwbytDRTY1Nis=\" 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>You&#8217;ll also dive deep into Power Query, how and when to use it, its Pros and cons, and the difference between Power BI and Power Query.<\/p>\n<h3>Table of Contents:<\/h3>\n<ol>\n<li><a href=\"#how-and-when-can-you-use-it\">How and When Can You Use It?<\/a><\/li>\n<li><a href=\"#what-is-a-power-query\">What is a Power Query?<\/a><\/li>\n<li><a href=\"#how-and-when-can-you-use-it\">How and When Can You Use It?<\/a><\/li>\n<li><a href=\"#what-is-the-difference-between-power-bi-and-power-query\">What is the Difference between Power BI and Power Query?<\/a><\/li>\n<li><a href=\"#how-to-use-power-bi-and-power-query\">How to Use Power BI and Power Query?<\/a><\/li>\n<li><a href=\"#how-to-migrate-power-query-to-power-bi\">How to Migrate Power Query to Power BI?<\/a><\/li>\n<li><a href=\"#analyzing-power-bi-vs-power-query\">Analyzing Power BI vs. Power Query: A Step-by-Step Guide<\/a><\/li>\n<li><a href=\"#what-are-the-pros-and-cons-of-it\">What are the Pros and Cons of It?<\/a><\/li>\n<li><a href=\"#wrap-up\">Wrap Up<\/a><\/li>\n<\/ol>\n<p>First&#8230;<\/p>\n<h2 id=\"how-and-when-can-you-use-it\">How and When Can You Use It?<\/h2>\n<p>You can use the Power BI in cases like:<\/p>\n<h3>When to Use Power BI?<\/h3>\n<ul>\n<li><strong>Data Analysis and Reporting:<\/strong> It&#8217;s used for analyzing <a href=\"https:\/\/chartexpo.com\/blog\/power-bi-dataset\" target=\"_blank\" rel=\"noopener noreferrer\">large datasets<\/a>, and creating interactive <a href=\"https:\/\/chartexpo.com\/blog\/power-bi-dashboard-vs-report\" target=\"_blank\" rel=\"noopener noreferrer\">reports and dashboards<\/a>.<\/li>\n<li><strong>Decision-Making:<\/strong> It&#8217;s used to support decision-making with real-time data and visual insights.<\/li>\n<li><strong>Data Integration:<\/strong> For combining data from multiple sources for a comprehensive view.<\/li>\n<li><strong>Data Visualization:<\/strong> To present data in an easily understandable format through <a href=\"https:\/\/chartexpo.com\/blog\/types-of-charts-and-graphs\" target=\"_blank\" rel=\"noopener noreferrer\">graphs, charts<\/a>, and maps.<\/li>\n<\/ul>\n<h3>How to Use Power BI?<\/h3>\n<ul>\n<li><strong>Connect to Data Sources:<\/strong> Import data from multiple sources like Excel files, web sources, <a href=\"https:\/\/chartexpo.com\/blog\/power-bi-cloud\" target=\"_blank\" rel=\"noopener noreferrer\">cloud services<\/a>, or databases.<\/li>\n<li><strong>Transform Data:<\/strong> Use Power Query to shape, clean, and transform data.<\/li>\n<li><strong>Create Visualizations:<\/strong> Build interactive dashboards and reports using a variety of <a href=\"https:\/\/chartexpo.com\/blog\/data-visualization-guide\" target=\"_blank\" rel=\"noopener noreferrer\">data visualizations<\/a> like pie charts, maps, and <a href=\"https:\/\/chartexpo.com\/blog\/bar-charts-guide\" target=\"_blank\" rel=\"noopener noreferrer\">bar charts<\/a>.<\/li>\n<li><strong>Build Reports:<\/strong> Design detailed reports with multiple pages, and also incorporate various visual elements.<\/li>\n<li><strong>Share and Collaborate:<\/strong> Publish reports to the <a href=\"https:\/\/chartexpo.com\/services\" target=\"_blank\" rel=\"noopener noreferrer\">Power BI service<\/a> to share with others. You can also collaborate and create dashboards that update automatically.<\/li>\n<\/ul>\n<h2 id=\"what-is-a-power-query\">What is a Power Query?<\/h2>\n<p><strong>Definition:<\/strong> Power Query is a data connection technology used in Power BI, Excel, and other Microsoft tools. It allows users to connect to multiple data sources, transform and <a href=\"https:\/\/chartexpo.com\/blog\/data-cleansing-techniques\" target=\"_blank\" rel=\"noopener noreferrer\">clean data<\/a>, and load it into a worksheet or model.<\/p>\n<h2 id=\"how-and-when-can-you-use-it\">How and When Can You Use It?<\/h2>\n<ul>\n<li><strong>Open Power Query:<\/strong>\n<ul>\n<li>In Power BI: To open Power Query Editor, navigate to the Home tab and click on \u201cTransform Data.\u201d<\/li>\n<li>In Excel: Navigate to the Data Tab, click on \u201cGet Data,\u201d and select \u201cFrom Other Sources.\u201d<\/li>\n<\/ul>\n<\/li>\n<li><strong>Connect to Data:<\/strong>\n<ul>\n<li>Use \u201cGet Data\u201d to connect to multiple data sources like web pages, databases, cloud services, or files (Excel, CSV).<\/li>\n<\/ul>\n<\/li>\n<li><strong>Transform Data:<\/strong>\n<ul>\n<li>Use the Query Editor to perform transformations like sorting, filtering, pivoting\/unpivoting columns, merging tables, and changing data types.<\/li>\n<li>To apply the transformation, select options from the menu or use the &#8220;Advanced Editor&#8221; for more complex modifications.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Load Data:<\/strong>\n<ul>\n<li>Once transformations are complete, click \u201cClose &amp; Load\u201d (for Excel users), or \u201cClose &amp; Apply\u201d (for Power BI users) to load the cleaned data into the worksheet or model.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Refresh Data:<\/strong>\n<ul>\n<li>Set up data refresh schedules to ensure your reports and dashboard stay updated with the latest information.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3>When to Use Power Query?<\/h3>\n<ul>\n<li><strong>Data Preparation:<\/strong> Used for cleaning and shaping raw data before analysis or visualization.<\/li>\n<li><strong>Automation:<\/strong> For automating repetitive data transformation tasks like regular updates or scheduled data refreshes.<\/li>\n<li><strong>Data Modeling:<\/strong> Used for preparing data to fit specific analytical or reporting needs. This ascertains that the data structure aligns with your requirements.<\/li>\n<\/ul>\n<h2 id=\"what-is-the-difference-between-power-bi-and-power-query\">What is the Difference between Power BI and Power Query?<\/h2>\n<p>Power BI and Power Query serve different but complementary roles in data analysis:<\/p>\n<ul>\n<li>Power BI is a <a href=\"https:\/\/chartexpo.com\/blog\/business-analytics\" target=\"_blank\" rel=\"noopener noreferrer\">business analytics<\/a> tool that helps users visualize data and create interactive reports and dashboards.<\/li>\n<li>Power Query is a data connection and transformation tool used within Power BI, Excel, and other Microsoft products.<\/li>\n<\/ul>\n<h3>Which one is best?<\/h3>\n<p>Your choice will be largely dependent on your needs.<\/p>\n<ul>\n<li>Power BI is used for creating reports and dashboards. It offers extensive data visualization and interactive features. It&#8217;s best for analyzing data and sharing insights across teams.<\/li>\n<li>Power Query is used for data preparation and transformation. It&#8217;s a tool within Power BI and Excel used for connecting, cleaning, and shaping data before <a href=\"https:\/\/chartexpo.com\/blog\/data-analysis\" target=\"_blank\" rel=\"noopener noreferrer\">data analysis<\/a>.<\/li>\n<\/ul>\n<p>Try the <a class=\"decorated-link\" href=\"https:\/\/app.powerbi.com\/view?r=eyJrIjoiOTEzZTdjZGUtNzE5MS00ODk2LWJkOTAtNTI3ZjMwNWI1MTdhIiwidCI6IjYyZmVhOGJlLTZlNzQtNDMyNC1hZjhjLTIyNjgzMjI2MmJjYiIsImMiOjF9\" target=\"_new\" rel=\"noopener nofollow\" data-start=\"337\" data-end=\"527\" target=\"_blank\">Sankey Diagram for Power BI app<\/a> demo now:<\/p>\n<h2 id=\"how-to-use-power-bi-and-power-query\">How to Use Power BI and Power Query?<\/h2>\n<h3>Using Power BI<\/h3>\n<ul>\n<li><strong>Connect to Data:<\/strong> Use the \u201cGet Data\u201d option to import data from multiple sources.<\/li>\n<li><strong>Transform Data<\/strong>: Clean and shape data in Power Query Editor if needed.<\/li>\n<li><strong>Create Visualizations:<\/strong> Use Power BI&#8217;s drag-and-drop interface to create charts, maps, and graphs.<\/li>\n<li><strong>Publish and Share:<\/strong> Publish reports to Power BI Service for sharing and collaboration.<\/li>\n<\/ul>\n<h3>Using Power Query<\/h3>\n<ul>\n<li><strong>Open Power Query:<\/strong> You can access Power Query in Power BI or Excel from the \u201cTransform Data\u201d or \u201cGet Data\u201d options.<\/li>\n<li><strong>Connect to Data:<\/strong> Select and connect to data sources.<\/li>\n<li><strong>Transform Data:<\/strong> Use the Query Editor to clean, shape, and transform data.<\/li>\n<li><strong>Apply Changes:<\/strong> Save and apply the change to load the transformed data into your worksheet or model.<\/li>\n<\/ul>\n<h2 id=\"how-to-migrate-power-query-to-power-bi\">How to Migrate Power Query to Power BI?<\/h2>\n<p>Here are steps to help you migrate Power Query from Excel to Power BI:<\/p>\n<ul>\n<li>Launch the Power BI and start a new report.<\/li>\n<li>Navigate to the \u201cHome\u201d tab and click \u201cGet Data.\u201d Next, select \u201cExcel\u201d to import the workbook containing your Power Query queries.<\/li>\n<li>During the import, choose the sheets or tables that include your Power Query queries.<\/li>\n<li>To open the Power Query Editor, click \u201cTransform Data.\u201d Your queries will be displayed here.<\/li>\n<li>Review and adjust queries as needed. After all, there might be differences in data connections or formats.<\/li>\n<li>Apply changes and load the data into Power BI for further visualization and analysis.<\/li>\n<\/ul>\n<h2 id=\"analyzing-power-bi-vs-power-query\">Analyzing Power BI vs. Power Query: A Step-by-Step Guide<\/h2>\n<p data-pm-slice=\"0 0 []\">This step-by-step guide helps you analyze Power BI vs. Power Query, using a <a href=\"https:\/\/chartexpo.com\/charts\/sankey-diagram\" target=\"_blank\" rel=\"noopener\">Sankey diagram maker<\/a> to visualize data flows and compare insights effectively.<\/p>\n<p><strong>Stage 1: Logging in to Power BI<\/strong><\/p>\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<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\/MTYrYmxvZytwYitjZXhwbytQQkk2NTYrU2Fua2V5Kw==\" 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\/MTYrYmxvZytncytjZXhwbytDRTY1Nis=\" 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\/TrafficTracker\/MTYrYmxvZytzZStjZXhwbytDRTY1Nis=\" 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><strong>Country<\/strong><\/td>\n<td style=\"text-align: center;\"><strong>Revenue Stream<\/strong><\/td>\n<td><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 above into the \u201cPower Query\u201d window. Next, select 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\/10\/click-create-a-dataset-only-after-learning-power-bi-vs-power-query.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/click-create-a-dataset-only-after-learning-power-bi-vs-power-query.jpg\" alt=\"Click Create a Dataset Only After Learning Power BI vs Power Query\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>Navigate to the left-side menu, and click on the &#8220;Data Hub&#8221; option. Power BI will populate the data set list. If no data set has been created, you&#8217;ll get an error message.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/click-data-hub-after-learning-power-bi-vs-power-query.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/click-data-hub-after-learning-power-bi-vs-power-query.jpg\" alt=\"Click Data Hub After Learning Power BI vs Power Query\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>Click on the \u201cCreate Report\u201d dropdown.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/click-create-report-after-learning-power-bi-vs-power-query.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/click-create-report-after-learning-power-bi-vs-power-query.jpg\" alt=\"Click Create Report After Learning Power BI vs Power Query\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>To add the Power BI Sankey Diagram Extension by ChartExpo, you&#8217;ll have to create the Sankey Diagram. That requires the use of an add-in or Power BI visual from Appsource. Navigate to the right side of the Power BI dashboard and open the Power BI Visualizations panel. Click the ellipsis symbol (&#8230;) to import the Power BI Sankey Diagram extension by ChartExpo. On the menu that opens, select the \u201cGet more visuals&#8217; option.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/click-get-more-visuals-after-learning-power-bi-vs-power-query.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/click-get-more-visuals-after-learning-power-bi-vs-power-query.jpg\" alt=\"Click Get More Visuals After Learning Power BI vs Power Query\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>Enter \u201cChartExpo\u201d in the highlighted search box. You&#8217;ll see the \u201cSankey Diagram for Power BI by ChartExpo\u201d as shown below.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/enter-sankey-diagram-for-power-bi-after-learning-power-bi-vs-power-query.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/enter-sankey-diagram-for-power-bi-after-learning-power-bi-vs-power-query.jpg\" alt=\"Enter Sankey Diagram for Power BI After Learning Power BI vs Power Query\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>Click on the Sankey Diagram. After that, click the highlighted \u201cAdd\u201d button.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/click-add-button-after-learning-power-bi-vs-power-query.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/click-add-button-after-learning-power-bi-vs-power-query.jpg\" alt=\"Click Add Button After Learning Power BI vs Power Query\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>Power BI will add the \u201cSankey Diagram for Power BI by ChartExpo\u201d icon in the visualization panel.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/add-sankey-diagram-icon-in-visualization-panel-after-learning-power-bi-vs-power-query.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/add-sankey-diagram-icon-in-visualization-panel-after-learning-power-bi-vs-power-query.jpg\" alt=\"Add Sankey Diagram Icon in Visualization Panel After Learning Power BI vs Power Query\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>To draw a Sankey Diagram with ChartExpo&#8217;s Power BI extension, select the \u201cSankey Diagram for Power BI by ChartExpo\u201d icon in the visualization panel. You&#8217;ll see a window that opens in the report section of the dashboard.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/a-report-window-will-open-in-power-bi-after-learning-power-bi-vs-power-query.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/a-report-window-will-open-in-power-bi-after-learning-power-bi-vs-power-query.jpg\" alt=\"A Report Window will Open in Power BI After Learning Power BI vs Power Query\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>You&#8217;ll have to select the fields to use in the Sankey chart.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/select-fields-after-learning-power-bi-vs-power-query.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/select-fields-after-learning-power-bi-vs-power-query.jpg\" alt=\"Select Fields After Learning Power BI vs Power Query\" width=\"233\" \/><\/a><\/div>\n<ul>\n<li>Follow the sequence below when selecting the fields:\n<ul>\n<li>Application Channels<\/li>\n<li>Initial Screening<\/li>\n<li>Conduct Interviews<\/li>\n<li>Employee Onboarding<\/li>\n<li>Total Candidates<\/li>\n<\/ul>\n<\/li>\n<li>You&#8217;ll have to provide your email address or the ChartExpo License key. To see the Sankey Chart display of your data, you&#8217;ll have to add the key under the visual section.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/enter-license-key-after-learning-power-bi-vs-power-query.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/enter-license-key-after-learning-power-bi-vs-power-query.jpg\" alt=\"Enter License Key After Learning Power BI vs Power Query\" width=\"235\" \/><\/a><\/div>\n<ul>\n<li>You can add the top header text in the chart under the General section as shown below:<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/add-top-header-in-chart-after-learning-power-bi-vs-power-query.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/add-top-header-in-chart-after-learning-power-bi-vs-power-query.jpg\" alt=\"Add Top Header in Chart After Learning Power BI vs Power Query\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>Click on Visual to set the number and also enable the options as shown below:<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/click-on-visual-set-number-and-also-enable-options-after-learning-power-bi-vs-power-query.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/click-on-visual-set-number-and-also-enable-options-after-learning-power-bi-vs-power-query.jpg\" alt=\"Click on Visual, Set Number and also Enable Options After Learning Power BI vs Power Query\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>You can change the \u201cNode Font Style\u201d as shown below:<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/change-node-font-style-after-learning-power-bi-vs-power-query.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/change-node-font-style-after-learning-power-bi-vs-power-query.jpg\" alt=\"Change Node Font Style After Learning Power BI vs Power Query\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>You can change the &#8220;Level Font Style.&#8221;<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/change-level-font-style-after-learning-power-bi-vs-power-query.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/change-level-font-style-after-learning-power-bi-vs-power-query.jpg\" alt=\"Change Level Font Style After Learning Power BI vs Power Query\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>You&#8217;ll see the Level Labels as shown below:<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/see-level-labels-after-learning-power-bi-vs-power-query.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/see-level-labels-after-learning-power-bi-vs-power-query.jpg\" alt=\"See Level Labels After Learning Power BI vs Power Query\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>You can change the Node color by following the steps below:<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/change-nodes-colors-after-learning-power-bi-vs-power-query.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/change-nodes-colors-after-learning-power-bi-vs-power-query.jpg\" alt=\"Change Nodes Colors After Learning Power BI vs Power Query\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>You&#8217;ve seen \u201cHow to change Level 1 color.\u201d You can follow the same step to change the node color of other levels.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/change-nodes-colors-of-level-1-after-learning-power-bi-vs-power-query.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/change-nodes-colors-of-level-1-after-learning-power-bi-vs-power-query.jpg\" alt=\"Change Nodes Colors of Level 1 After Learning Power BI vs Power Query\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>Here&#8217;s the final look of the HR Dashboard in Power BI using ChartExpo after changing all nodes&#8217; colors.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/final-power-bi-vs-power-query.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2024\/10\/final-power-bi-vs-power-query.jpg\" alt=\"Final Power BI vs Power Query\" width=\"650\" \/><\/a><\/div>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrYmxvZytwYitjZXhwbytQQkk2NTYrU2Fua2V5Kw==\" 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\/MTYrYmxvZytncytjZXhwbytDRTY1Nis=\" 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\/TrafficTracker\/MTYrYmxvZytzZStjZXhwbytDRTY1Nis=\" 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<ul>\n<li>Social Media is the primary application channel with the highest number of candidates (1100).<\/li>\n<li>Company Career Page follows with 900 candidates.<\/li>\n<li>Events and Paper Media have comparatively lower candidate counts of 350 and 700, respectively.<\/li>\n<li>Direct applications have 600 candidates.<\/li>\n<\/ul>\n<h3>Maximize Data Clarity with Power BI vs. Power Query in Visuals:<\/h3>\n<p>Dive deep into the differences and capabilities of Power BI vs Power Query in this informative tutorial. By exploring how these two tools work together, you can enhance your data analysis with dynamic charts and graphs, including the <a href=\"https:\/\/chartexpo.com\/blog\/sankey-diagram-in-power-bi\" target=\"_blank\" rel=\"noopener\">Sankey Diagram in Power BI<\/a> for visualizing data flows. Power BI enables you to visualize data, create reports, and share insights, while Power Query allows you to efficiently clean, transform, and load data from various sources. Understanding the strengths of each tool helps you make informed decisions on when to use Power Query for data preparation and Power BI for data visualization. With their combined power, you can streamline workflows, improve data accuracy, and deliver comprehensive insights through compelling visuals that drive better business outcomes.<\/p>\n<p><iframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/_UyS9hzktr8?si=zkl8vEiizt8_NipC\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\" data-mce-fragment=\"1\"><\/iframe><\/p>\n<h2 id=\"what-are-the-pros-and-cons-of-it\">What are the Pros and Cons of It?<\/h2>\n<h3>Pros of Power BI<\/h3>\n<ul>\n<li><strong>User-Friendly:<\/strong> It features an intuitive interface, and makes it accessible for users at different technical levels.<\/li>\n<li><strong>Integration:<\/strong> It integrates seamlessly with other Microsoft products like Azure and Excel. This enhances workflow efficiency.<\/li>\n<li><strong>Real-Time Updates:<\/strong> It provides real-time data monitoring and interactive dashboards. This will, in turn, aid timely <a href=\"https:\/\/chartexpo.com\/blog\/data-driven-decision-making\" target=\"_blank\" rel=\"noopener noreferrer\">data-driven decision-making<\/a>.<\/li>\n<\/ul>\n<h3>Cons of Power BI<\/h3>\n<ul>\n<li><strong>Complex Advanced Features:<\/strong> Advanced functionalities and customizations can be complex and require technical expertise.<\/li>\n<li><strong>Learning Curve:<\/strong> Mastering all features involves a significant learning curve.<\/li>\n<\/ul>\n<h2>FAQs<\/h2>\n<h3>Can you connect Power Query to Power BI?<\/h3>\n<p>Yes, Power Query in Power BI is used to connect to, transform, and prepare data. You can access Power Query directly within Power BI by clicking \u201cTransform Data\u201d on the Home tab.<\/p>\n<h3>Is Power Query related to Power BI?<\/h3>\n<p>Yes, Power Query is integrated into Power BI. It&#8217;s used within Power BI to connect to, transform, and clean data before creating visualizations and reports.<\/p>\n<h3>Is Power BI better than Power Query?<\/h3>\n<p>Power BI and Power Query serve different purposes. Power BI excels in visualization and reporting, while Power Query is focused on data preparation and transformation. They complement each other.<\/p>\n<h4 id=\"wrap-up\">Wrap Up<\/h4>\n<p>Comparing Power BI vs. Power Query is of the essence. It will help you understand that Power BI focuses on data visualization and reporting, while Power Query specializes in data connection, preparation, and transformation.<\/p>\n<p>Power BI can integrate seamlessly with other Microsoft products like Azure and Excel. The free version offers substantial functionality but imposes restrictions on data capacity and refresh rates.<\/p>\n<p>When it comes to analyzing large datasets and creating interactive reports and dashboards, Power BI is your best bet. It offers visual insights and helps users make decisions with real-time data. Furthermore, it helps in presenting data in an understandable format through maps, graphs, and charts.<\/p>\n<p>For effective data evaluation, you should create dashboards in Power BI and also represent evolving data using visualizations like the Sankey chart.<\/p>\n","protected":false},"excerpt":{"rendered":"<p><p>This guide compares &#038; explains difference between Power BI vs. Power Query tools. You&#8217;ll also discover how to explore Power BI &#038; Power Query.<\/p>\n&nbsp;&nbsp;<a href=\"https:\/\/chartexpo.com\/blog\/power-bi-vs-power-query\"><\/a><\/p>","protected":false},"author":1,"featured_media":41742,"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>Power BI vs. Power Query: Understanding Key Differences -<\/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\/power-bi-vs-power-query\" \/>\r\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\r\n<meta name=\"twitter:title\" content=\"Power BI vs. Power Query: Understanding Key Differences -\" \/>\r\n<meta name=\"twitter:description\" content=\"This guide compares &amp; explains difference between Power BI vs. Power Query tools. 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