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In this tutorial, we will learn how to create a ribbon chart in Power BI. A ribbon chart is similar to a Sankey chart but with some differences. The layout and fields of a ribbon chart resemble a Sankey chart, but the visualization is unique. We will explore the process step by step to create a ribbon chart. Starting with a ready-made ribbon chart, we will demonstrate how to modify it by selecting the appropriate fields, such as order date and sales, to generate a simple column chart. We will then show how to transform this column chart into a ribbon chart by dragging the region field into the legend area. Understandably, this might be initially confusing, but we will clarify the concept through visual explanations and color codes. By interpreting the color codes, we can identify the regions with higher sales in each year, thus achieving a ranking-based understanding. Adding labels to the chart will further assist in comprehending the data. We will conclude by summarizing the key steps and emphasizing the simplicity of creating a ribbon chart in Power BI with impressive visual impact.
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Please find practice dataset links on our website to help you apply the concepts learned in the course.
📥 Download Practice Material from Server 💾: drive.google.com/drive/folders/1m-aT0FI4IJcaa-G5KaInF_Ro9ZL4NXe0
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📥 Download Practice Material from Server 💾: bitly.ws/zZo4
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Timestamps:
00:00:03 Creating a Ribbon Chart in Power BI 📊
00:00:22 Exploring the Layout Before Creating the Chart 📐
00:00:51 Adding Fields to Create a Column Chart 📊
00:01:19 Understanding Ribbon Chart with Region Field 🌍
00:01:47 Analyzing Sales Rankings by Region 📈
00:02:17 Identifying Changes in Region Rankings Over Time ⏳
00:02:40 South Region Consistently Ranked Fourth 🎖️
00:03:07 Adding Labels and Analyzing Sales Data 💰
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