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.

Unit progress bar charts are a fantastic way to represent progress toward a goal, breaking the visualization into smaller units to highlight individual contributions. These charts are both visually appealing and effective for storytelling. In this post, we’ll guide you through the process of creating a unit progress bar chart in Tableau using the Superstore dataset.

Diverging bar charts, also known as “bikini charts,” are a fantastic way to compare two opposing metrics or categories. Unlike traditional side-by-side bar charts, diverging bar charts place the bars opposite each other with a shared Y-axis in the middle, making comparisons intuitive and visually striking.

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.

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.

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.

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.

Forecasting is a powerful tool in analytics, allowing businesses to make data-driven predictions about future trends and performance. Tableau, a leading data visualization platform, provides robust forecasting capabilities that are easy to use yet sophisticated enough to handle complex data. By integrating statistical models directly into its visualizations, Tableau empowers users to forecast trends and display them in an intuitive manner.