{"id":7548,"date":"2024-10-17T10:41:15","date_gmt":"2024-10-17T08:41:15","guid":{"rendered":"https:\/\/powerbi.pl\/blog\/news\/ways-to-visualize-data-in-power-bi"},"modified":"2024-10-17T10:41:15","modified_gmt":"2024-10-17T08:41:15","slug":"ways-to-visualize-data-in-power-bi","status":"publish","type":"post","link":"https:\/\/powerbi.pl\/en\/blog\/microsoft-power-bi-en\/ways-to-visualize-data-in-power-bi","title":{"rendered":"Ways to visualize data in Power BI"},"content":{"rendered":"<p>Data visualization plays a key role in business analysis. Thanks to it, we are able to formulate valuable conclusions from numerical information presented in a more accessible form. In this article, we will look at the most important ways of visualizing data in Power BI and discuss their use.  <\/p>\n<p>&nbsp;<\/p>\n<h2>Types of data visualization in Power BI<\/h2>\n<p><a href=\"https:\/\/powerbi.pl\/en\/blog\/success-stories\/10-reasons-why-microsoft-power-bi-is-a-game-changer\"><strong>Power BI offers a wide range of visualizations<\/strong><\/a> that can be customized to suit different business needs. From classic bar charts to advanced tools such as decomposition trees or geospatial maps. Depending on the nature of the data and the purpose of the analysis, users can choose the best way to present information.  <\/p>\n<p>&nbsp;<\/p>\n<h3>Area charts<\/h3>\n<p>Area charts in Power BI allow you to visualize changes in values over time. The basic version of this chart is similar to a line chart, but the space between the X-axis and the line is filled with color. These charts are especially useful when you want to show not only the trend of changes, but also their scale.  <\/p>\n<p>&nbsp;<\/p>\n<p><strong>Example use of area charts:<\/strong><\/p>\n<ul>\n<li>visualization of trends over time, e.g. company revenues<\/li>\n<li>presentation of cumulative values, e.g. market share of several products<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"size-full wp-image-7507 aligncenter\" src=\"https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Wykres-obszarowy-Area-Chart.png\" alt=\"Area chart\" width=\"500\" height=\"330\" srcset=\"https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Wykres-obszarowy-Area-Chart.png 500w, https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Wykres-obszarowy-Area-Chart-300x198.png 300w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h3>Bar and column charts<\/h3>\n<p>Bar charts are one of the most commonly used data visualization tools in Power BI. They allow easy comparison of values in different categories. The bars can be vertical (columns) or horizontal (bars), depending on the user&#8217;s preference.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Example use of bar and column charts:<\/strong><\/p>\n<ul>\n<li>analysis of product sales in different regions<\/li>\n<li>comparison of the financial results of the company&#8217;s branches<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><img decoding=\"async\" class=\"aligncenter wp-image-7510 size-full\" src=\"https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Wykres-slupkowy-Bar-Chart.png\" alt=\"Bar chart\" width=\"500\" height=\"330\" srcset=\"https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Wykres-slupkowy-Bar-Chart.png 500w, https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Wykres-slupkowy-Bar-Chart-300x198.png 300w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/> <img decoding=\"async\" class=\"aligncenter wp-image-7513 size-full\" src=\"https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Wykres-kolumnowy-Column-Chart.png\" alt=\"Column chart\" width=\"500\" height=\"330\" srcset=\"https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Wykres-kolumnowy-Column-Chart.png 500w, https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Wykres-kolumnowy-Column-Chart-300x198.png 300w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h3>Cards<\/h3>\n<p>Power BI offers two types of cards: single and multi-row. Single cards display a single key value, which is especially useful in dashboards where key metrics, such as total sales, need to be clearly visible. Multi-row cards, on the other hand, allow you to present a lot of data in a single view.  <\/p>\n<p>&nbsp;<\/p>\n<p><strong>Example use of cards:<\/strong><\/p>\n<ul>\n<li>presentation of key indicators (e.g. number of customers, revenues)<\/li>\n<li>displaying detailed data for several categories at the same time<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-7516 size-full\" src=\"https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Karty-Cards.png\" alt=\"Cards\" width=\"432\" height=\"326\" srcset=\"https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Karty-Cards.png 432w, https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Karty-Cards-300x226.png 300w\" sizes=\"(max-width: 432px) 100vw, 432px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h3>Combo charts<\/h3>\n<p>Combination charts combine two types of charts, most commonly column and line, allowing you to quickly compare different measures on a single X-axis. Because they can use two Y-axes, these charts are ideal for presenting data on different scales.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Example use of combo charts:<\/strong><\/p>\n<ul>\n<li>comparison of product sales (column chart) with market trend (line chart)<\/li>\n<li>analysis of the relationship between different measures, e.g. sales and costs<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-7519 size-full\" src=\"https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Wykresy-kombinowane-Combo-Charts.png\" alt=\"Combo charts\" width=\"500\" height=\"330\" srcset=\"https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Wykresy-kombinowane-Combo-Charts.png 500w, https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Wykresy-kombinowane-Combo-Charts-300x198.png 300w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>Advanced visualizations in Power BI<\/h2>\n<p><strong>Power BI also offers advanced visualization tools<\/strong> that enable deeper data analysis and interactivity. Below are some examples of these tools. <\/p>\n<p>&nbsp;<\/p>\n<h3>Decomposition tree<\/h3>\n<p>The decomposition tree is an interactive visualization that allows you to analyze data in multiple dimensions simultaneously. You can \u201cunpack\u201d subsequent levels of data to find the most important factors that affect a selected measure. <\/p>\n<p>&nbsp;<\/p>\n<p><strong>Example use of decomposition tree:<\/strong><\/p>\n<ul>\n<li>analysis of the causes of problems, e.g. falling sales<\/li>\n<li>identifying key factors influencing the success of a marketing campaign<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-7522 size-full\" src=\"https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Drzewo-dekompozycji-Decomposition-Tree.png\" alt=\"Decomposition tree\" width=\"1217\" height=\"715\" srcset=\"https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Drzewo-dekompozycji-Decomposition-Tree.png 1217w, https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Drzewo-dekompozycji-Decomposition-Tree-300x176.png 300w, https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Drzewo-dekompozycji-Decomposition-Tree-1024x602.png 1024w, https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Drzewo-dekompozycji-Decomposition-Tree-768x451.png 768w, https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Drzewo-dekompozycji-Decomposition-Tree-600x353.png 600w\" sizes=\"(max-width: 1217px) 100vw, 1217px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h3>Pie and doughnut charts<\/h3>\n<p>Pie and donut charts are classic tools for presenting percentages of a whole. In Power BI, a donut chart differs from a pie chart only in that its center is empty, allowing you to add additional information, such as labels or icons. <\/p>\n<p>&nbsp;<\/p>\n<p><strong>Example use of pie and donut charts:<\/strong><\/p>\n<ul>\n<li>presentation of product market shares<\/li>\n<li>visualization of the budget percentage breakdown<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-7531 size-full\" src=\"https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Wykres-pierscieniowy-Doughnut-Chart.png\" alt=\"Doughnut chart\" width=\"500\" height=\"330\" srcset=\"https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Wykres-pierscieniowy-Doughnut-Chart.png 500w, https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Wykres-pierscieniowy-Doughnut-Chart-300x198.png 300w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h3>Funnel chart<\/h3>\n<p>Funnel charts are used to visualize multi-stage processes where each step has a different number of elements. They are most often used to track a sales process where the number of potential customers decreases at each stage of the process. <\/p>\n<p>&nbsp;<\/p>\n<p><strong>Example use of funnel charts:<\/strong><\/p>\n<ul>\n<li>sales funnel analysis: from lead generation to closing the deal<\/li>\n<li>tracking the progress of your marketing campaign<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-7534 size-full\" src=\"https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Wykres-lejkowy-Funnel-Chart.png\" alt=\"Funnel chart\" width=\"500\" height=\"330\" srcset=\"https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Wykres-lejkowy-Funnel-Chart.png 500w, https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Wykres-lejkowy-Funnel-Chart-300x198.png 300w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h3>Maps<\/h3>\n<p>Power BI offers different types of maps, such as a basemap, <em>choropleth<\/em> map, and advanced ArcGIS (<em>Arc Geographic Information System<\/em>) map. These maps allow you to visualize data in a geographic context, which is extremely useful for analyzing location data. <\/p>\n<p>&nbsp;<\/p>\n<p><strong>Examples of use of maps:<\/strong><\/p>\n<ul>\n<li>visualization of sales results in different regions<\/li>\n<li>analysis of geographical patterns of customer behavior<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-7537 aligncenter\" src=\"https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Mapy-geoprzestrzenne-Maps.png\" alt=\"Maps\" width=\"801\" height=\"561\" srcset=\"https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Mapy-geoprzestrzenne-Maps.png 801w, https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Mapy-geoprzestrzenne-Maps-300x210.png 300w, https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Mapy-geoprzestrzenne-Maps-768x538.png 768w, https:\/\/powerbi.pl\/wp-content\/uploads\/2024\/10\/Mapy-geoprzestrzenne-Maps-600x420.png 600w\" sizes=\"(max-width: 801px) 100vw, 801px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>Personalization and creation of your own visualizations<\/h2>\n<p>Power BI also enables you to create your own custom visualizations that can be tailored to your specific business needs. Users can use existing visualizations available from Microsoft AppSource or create their own using tools like R and Python. <\/p>\n<p>&nbsp;<\/p>\n<p><strong>Advantages of creating your own visualizations:<\/strong><\/p>\n<ul>\n<li>full control over the look and functionality of the chart<\/li>\n<li>possibility of using non-standard analytical algorithms<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>Summary<\/h2>\n<p>Power BI offers a wide range of <a href=\"https:\/\/powerbi.pl\/en\/microsoft-power-bi\/data-visualization\">data visualization<\/a> tools that allow for effective presentation and analysis of data. Thanks to intuitive tools and personalization options, users can create advanced reports and dashboards tailored to individual needs. The choice of the right visualization depends on the nature of the data and the purpose of the analysis, and Power BI provides versatility and flexibility in this regard. If you want to learn more about how Power BI can help your company in data management, contact EBIS experts who will help you implement the best solutions!  <\/p>\n<p> | <strong><a href=\"https:\/\/powerbi.pl\/en\/contact\">CONTACT<\/a><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Data visualization plays a key role in business analysis. Thanks to it, we are able to formulate valuable conclusions from numerical information presented in a more accessible form. In this article, we will look at the most important ways of visualizing data in Power BI and discuss their use.  <\/p>\n","protected":false},"author":3,"featured_media":10477,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[30],"tags":[336],"class_list":["post-7548","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-microsoft-power-bi-en","tag-data-visualization"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Ways to visualize data in Power BI<\/title>\n<meta name=\"description\" content=\"Discover the best ways to visualize data in Power BI and transform data into clear and understandable information!\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/powerbi.pl\/en\/blog\/microsoft-power-bi-en\/ways-to-visualize-data-in-power-bi\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Ways to visualize data in Power BI\" \/>\n<meta property=\"og:description\" content=\"Discover the best ways to visualize data in Power BI and transform data into clear and understandable information!\" \/>\n<meta property=\"og:url\" content=\"https:\/\/powerbi.pl\/en\/blog\/microsoft-power-bi-en\/ways-to-visualize-data-in-power-bi\" \/>\n<meta property=\"og:site_name\" content=\"EBIS - 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