{"id":176153,"date":"2024-01-07T11:18:56","date_gmt":"2024-01-07T10:18:56","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=176153"},"modified":"2024-01-07T11:23:49","modified_gmt":"2024-01-07T10:23:49","slug":"power-query-m-language-avoid-these-mistakes","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/power-query-m-language-avoid-these-mistakes","title":{"rendered":"Power Query M language: Avoid these mistakes"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"176153\" class=\"elementor elementor-176153\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8abeb25 e-flex e-con-boxed e-con\" data-id=\"8abeb25\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3aecf41 elementor-widget elementor-widget-heading\" data-id=\"3aecf41\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">The Power Query M language lets you write formulas to automate and customize data transformations in Excel and Power BI. Find out evacerything you need to know!<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0295e71 e-flex e-con-boxed e-con\" data-id=\"0295e71\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-336d85b elementor-widget elementor-widget-text-editor\" data-id=\"336d85b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p>To <a href=\"https:\/\/datascientest.com\/en\/web-scraping-unveiled-your-comprehensive-guide-to-data-extraction\">extract and transform data<\/a>, users of Microsoft Excel and Power BI can <a href=\"https:\/\/datascientest.com\/en\/power-query-what-is-it-whats-it-for\">use the Power Query tool directly incorporated<\/a> into these programs.<\/p><p>Using a simple, intuitive query editor, data from a wide variety of sources can be collected and formatted for analysis.<\/p><p>However, to customize and automate <strong>data transformation processes,<\/strong> or to perform complex transformations, it is necessary to use the M programming language.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-744c817 e-flex e-con-boxed e-con\" data-id=\"744c817\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cce9971 elementor-widget elementor-widget-heading\" data-id=\"cce9971\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What is the Power Query M language?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-06ba323 elementor-widget elementor-widget-text-editor\" data-id=\"06ba323\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Developed to <a href=\"https:\/\/datascientest.com\/en\/power-query-date-format-how-to-change-it-on-excel-and-power-bi\">provide Power Query users with a simple interface for data transformation,<\/a> the Power Query M language is a <a href=\"https:\/\/datascientest.com\/en\/sql-learn-all-about-the-programming-language-for-databases\">functional programming language.<\/a><\/p><p>It is based on a clear and concise syntax, making it easy to write customized queries. With each new version, this language has evolved to offer more advanced features and better performance.<\/p><p>Today, it is an essential component of Power Query. In particular, it is used for complex transformations such as merging, <a href=\"https:\/\/datascientest.com\/en\/left-join-sql-learn-all-about-this-sql-command\">joining, column splitting, data aggregation<\/a> and reorganization.<\/p><p>M also allows you to write custom queries. This can be used to extract data from sources not supported by Power Query, or to apply advanced transformations to meet a company&#8217;s specific needs.<\/p><p>In the event of errors during a <strong>data transformation<\/strong>, the <strong>Power Query M language<\/strong> provides management mechanisms. Rules can be defined, such as deleting rows containing missing values, or replacing them with default values.<\/p><p>Finally, users can exploit the <strong>Power query M language<\/strong> to optimize queries by eliminating unnecessary operations and reducing the size of processed data. This improves performance.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0413c12 e-flex e-con-boxed e-con\" data-id=\"0413c12\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a3ec45d elementor-widget elementor-widget-heading\" data-id=\"a3ec45d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">The main types of Power Query M language<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3fc7f98 elementor-widget elementor-widget-text-editor\" data-id=\"3fc7f98\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>This <strong>Power Queery M language<\/strong> offers a wide variety of data transformation formulas for different use cases.<\/p><p>Filter formulas are used to filter data according to specific criteria. For example, <strong>&#8220;Filter Rows&#8221;<\/strong> is based on the value of a column.<\/p><p>Merge formulas are also used to combine data from several sources. For example, &#8220;Merge Queries&#8221; allows you to merge two queries using a common column.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-85896c3 elementor-widget elementor-widget-image\" data-id=\"85896c3\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/fusion-requete-power-query-1.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d9bfc4c elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"d9bfc4c\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/power-bi-training\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Start a Power BI training course<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4ca0da2 elementor-widget elementor-widget-text-editor\" data-id=\"4ca0da2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>For<strong> transformation, &#8220;Split Colum&#8221;<\/strong> can be used, for example, to divide a column into several. There are numerous formulas in this category for all kinds of manipulations.<\/p><p>Calculation formulas can be used to perform operations on data. For example, &#8220;Add Column&#8221; can be used to add a calculated column to a query.<\/p><p>Finally, data can be grouped according to specific criteria using grouping formulas. For example, &#8220;<a href=\"https:\/\/datascientest.com\/en\/sql-group-by-everything-you-need-to-know-about-this-query\">Group By&#8221; groups data according to the value of a column.<\/a><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-876752f e-flex e-con-boxed e-con\" data-id=\"876752f\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8f36ec9 elementor-widget elementor-widget-heading\" data-id=\"8f36ec9\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What are the advantages and disadvantages of the Power Query M language?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-749f335 elementor-widget elementor-widget-text-editor\" data-id=\"749f335\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The main strengths of the <strong>Power Query M language<\/strong> are the flexibility and customizability of data transformations.<\/p><p>Complex transformations can be created to meet specific needs. Automation is another major advantage.<\/p><p>Indeed, users can write customized queries that run automatically each time a new <a href=\"https:\/\/datascientest.com\/en\/data-sources-understanding-the-definition-and-inner-workings\">data source is added.<\/a> This not only saves considerable time, but also reduces errors.<\/p><p>Query optimization also saves time, as it delivers results more quickly and can process larger volumes of data.<\/p><p>On the other hand, despite its many strengths, the <strong>Power Query M language<\/strong> does have its limitations. Firstly, the slightest syntax error can prevent a custom query from working. This can be confusing for beginners.<\/p><p>In some situations, M is not suitable. This is particularly the case for complex calculations or advanced <a href=\"https:\/\/datascientest.com\/en\/altair-everything-you-need-to-know-about-this-statistical-visualization-library\">statistical analyses requiring other tools.<\/a><\/p><p>Overall, this powerful tool enhances the possibilities offered by Power Query, but requires a<strong> basic knowledge of programming.<\/strong><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a436eef e-flex e-con-boxed e-con\" data-id=\"a436eef\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ad82fcd elementor-widget elementor-widget-html\" data-id=\"ad82fcd\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [{\n    \"@type\": \"Question\",\n    \"name\": \"What is the M language?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"Developed to provide Power Query users with a simple interface for data transformation, M is a functional programming language. It is based on a clear and concise syntax, making it easy to write customized queries. With each new version, this language has evolved to offer more advanced features and better performance.\"\n    }\n  },{\n    \"@type\": \"Question\",\n    \"name\": \"What are the advantages and disadvantages of the M language?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"The main strengths of the M language are the flexibility and customizability of data transformations. Complex transformations can be created to meet specific needs. Automation is another major advantage. Indeed, users can write customized queries that run automatically each time a new data source is added. This not only saves considerable time, but also reduces errors.\"\n    }\n  }]\n}\n<\/script>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>The Power Query M language lets you write formulas to automate and customize data transformations in Excel and Power BI. Find out evacerything you need to know! To extract and transform data, users of Microsoft Excel and Power BI can use the Power Query tool directly incorporated into these programs. Using a simple, intuitive query [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":176168,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Power Query M language: Avoid these mistakes<\/title>\n<meta name=\"description\" content=\"Unlock the full potential of Power Query Mwith a deep dive into its M language, while avoiding the one mistake that...\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/en\/power-query-m-language-avoid-these-mistakes\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Power Query M language: Avoid these mistakes\" \/>\n<meta property=\"og:description\" content=\"The Power Query M language lets you write formulas to automate and customize data transformations in Excel and Power BI. 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