In Tableau, you can go beyond basic visualizations and create advanced visualizations that effectively showcase complex data patterns. Let's explore some of these techniques:

Dual-Axis Charts: Dual-axis charts allow you to combine two different chart types on a single axis, creating a more informative visualization. For example, you can combine a bar chart with a line chart to show both quantity and trend simultaneously.

Heat Maps: Heat maps use color gradients to represent the density or intensity of data values across different categories. They are particularly useful for visualizing large datasets in a compact way. You can create heat maps in Tableau by mapping measures to colors or by using the built-in heat map chart type.

Treemaps: Treemaps display hierarchical data using nested rectangles, where the size and color of each rectangle represent different measures. This visualization technique is effective for comparing proportions within a hierarchy.

Box Plots: Box plots provide a summary of a dataset's distribution, including the minimum, maximum, median, and quartiles. They are great for identifying outliers and understanding the spread of data.

By leveraging these advanced visualization techniques, you can gain deeper insights from your data in Tableau.