In the dynamic world of business analytics, understanding trends over time is crucial. Power BI’s Time Intelligence Functions empower users to perform complex time-based calculations with ease, transforming raw data into actionable insights. This blog explores key Time Intelligence Functions, complete with examples and real-world applications.
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When managing Power BI content like reports and datasets, knowing which ones to trust is critical. Power BI’s promotion and certification features help you highlight and share reliable content within your workspace. But what do these features mean, and how are they different? In this article, we’ll explain promotion vs certification in Power BI, introduce the concept of master data, and show you when to use each.
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Parallel sets are a visually striking way to represent flows and relationships between categories, offering deeper insights into complex data distributions. In this blog, we’ll guide you step by step on how to create a parallel set visualization in Tableau using the Sample Superstore dataset.
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Table calculations in Tableau are powerful tools that allow you to perform computations directly on the aggregated results in your visualization. Unlike calculated fields (which operate at the data source level), table calculations depend on the structure of your table or pane, making them ideal for dynamic, context-aware metrics. In this guide, we’ll break down compute using options, advanced settings like addressing and partitioning, and demonstrate practical examples using Tableau’s Superstore dataset.
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SQL window functions like LEAD and LAG are indispensable tools for business intelligence and data analysis, enabling professionals to uncover trends, track changes, and derive actionable insights. In this guide, we’ll break down how these functions work and demonstrate their real-world applications in SQL-driven analytics.
Polar charts are a unique and visually compelling way to display data in a circular format. In this tutorial, we’ll guide you through creating a polar chart in Tableau using the Sample Superstore dataset. Whether you’re using Tableau Desktop or Tableau Public, follow these steps to build a stunning visualization.
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Hex maps or Tile grip maps are a visually appealing alternative to traditional geographic maps. They arrange regions or states into a grid of hexagons, standardizing their size and shape while maintaining their relative positioning. This approach eliminates distortion caused by geographic size differences and focuses on comparative analysis.
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Tilted bar charts, with their unique slanted orientation, offer a fresh perspective for visualizing comparative data. These charts can help your dashboards stand out while providing insightful visual analysis. In this tutorial, we’ll guide you through creating a tilted bar chart in Tableau using the Sample Superstore dataset.
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Lollipop charts are a fun and visually engaging way to display data. They combine the simplicity of a bar chart with the precision of a scatter plot, making it easy to highlight specific data points. In this tutorial, we’ll create a lollipop chart in Tableau using the Superstore dataset to showcase sales performance across categories.
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Donut charts are a variation of pie charts that are sleek, visually appealing, and effective for showing proportions or contributions of parts to a whole. The central hole in a donut chart creates space for additional information, such as a total value or key metric, which enhances the chart’s storytelling capability. In this blog post, I’ll guide you step-by-step on how to create a donut chart in Tableau, referencing the best practices from trusted sources.
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