Dumbbell charts are a fantastic visualization tool for comparing two data points across categories while emphasizing the difference between them. Often used to show progress or change over time, these charts highlight how values diverge or converge for each category. In this blog post, we’ll walk you through how to create a dumbbell chart in Tableau using the Superstore dataset.
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When working with large datasets in Power BI, efficiency is key. One of the most powerful optimization techniques is query folding, a process that enables Power BI to push transformations back to the data source instead of handling them locally. But what exactly is query folding, and why is it important?
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In the world of data visualization and reporting, keeping track of the last time your data was refreshed is crucial for ensuring accuracy and reliability. Whether you’re using Power BI or Tableau, adding a refresh timestamp provides transparency and confidence to your audience.
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Dynamic titles in Power BI are a great way to make your reports interactive and user-friendly by displaying context-aware information based on the selected data. In this blog, we’ll walk you through the steps to create dynamic titles using the Sample Superstore dataset.
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In data visualization, the right design can make your insights not just clearer but also more engaging. Rounded bar charts and bar-in-bar charts are two excellent options for adding polish and depth to your dashboards. These chart types bring a modern touch to traditional visuals while enhancing storytelling and usability. In this blog post, we’ll use Tableau’s Superstore dataset to create these charts and discuss their applications.
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Data processing systems have come a long way, transforming to meet the ever-growing needs of modern businesses. In this blog, we’ll dive into three major systems that have shaped the landscape: OLTP (Online Transaction Processing), OLAP (Online Analytical Processing), and the cutting-edge HTAP (Hybrid Transaction/Analytical Processing).
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A waffle chart is a highly effective visualization for showing progress toward a goal or illustrating percentages as part-to-whole relationships. This grid-based chart uses a 10×10 structure to represent percentages, with each square equating to 1% of the total.
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If you work with data, SQL functions are your toolkit for unlocking powerful insights. Whether you’re crafting detailed reports or uncovering business-changing analytics, SQL is the backbone for data doers in every industry. This guide explores 27 SQL functions that every data analyst, data engineer, or analytics enthusiast should know. These functions are grouped into five categories for easier understanding and practical use.
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I recently encountered a project that uses HIVE table, coming from microsoft sql , mysql background, I had a little struggle with different sql syntax and behavior, thought I’d write this article on some common SQL to Hive conversions in case you are ever in similar situation.
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Predictive analytics is a powerful tool that transforms raw data into actionable insights, enabling data-driven decision-making. With Tableau’s predictive modeling functions, you can extend time axes, forecast trends, and identify future opportunities. This article walks you through creating predictions in Tableau and explores how to choose the right predictive model for your analysis.
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