Why Scatter plots in Power BI? - Purpose & Use Cases

The Big Idea

What if you could spot hidden sales opportunities just by looking at a simple graph?

The Scenario

Imagine you have a big list of sales data with numbers for each product and region. You try to find patterns by writing down numbers on paper or using a simple table. It's hard to see how sales relate to advertising or customer visits just by looking at rows and columns.

The Problem

Manually scanning tables or spreadsheets to find relationships is slow and tiring. You might miss important trends or outliers because numbers alone don't show how two things connect. It's easy to make mistakes or overlook key insights when you can't see the data visually.

The Solution

Scatter plots let you put two sets of numbers on a graph, showing how they relate. You can quickly spot patterns, clusters, or unusual points. Power BI makes it easy to create interactive scatter plots that update as you filter data, helping you understand complex relationships at a glance.

Before vs After

✗ Before

Product | Sales | Advertising
A       | 100   | 50
B       | 200   | 80
C       | 150   | 60

✓ After

Scatter plot: X = Advertising, Y = Sales, each dot = Product

What It Enables

Scatter plots enable you to instantly see connections and trends between two variables, making data-driven decisions faster and clearer.

Real Life Example

A marketing manager uses a scatter plot to compare advertising spend and sales revenue across regions, quickly identifying which areas get the best return on investment.

Key Takeaways

Manual tables hide relationships between data points.

Scatter plots visualize two variables together clearly.

Power BI scatter plots update interactively for deeper insight.