Why Scatter plots in Tableau? - Purpose & Use Cases

The Big Idea

What if you could see hidden connections in your data at a glance?

The Scenario

Imagine you have a big list of sales data with numbers for revenue and customer visits. You try to find if more visits mean more sales by writing down numbers on paper or in a simple table.

The Problem

Manually comparing numbers one by one is slow and confusing. You might miss patterns or make mistakes. It's hard to see how two things relate just by looking at rows of numbers.

The Solution

Scatter plots show each data point as a dot on a graph, making it easy to see if two things move together. You can spot trends, clusters, or outliers quickly without guessing.

Before vs After

✗ Before

Revenue | Visits
1000    | 50
1500    | 70
1200    | 55

✓ After

Scatter plot with Visits on X-axis and Revenue on Y-axis showing dots for each record

What It Enables

Scatter plots let you instantly understand relationships between two variables and make smarter decisions based on clear visual patterns.

Real Life Example

A store manager uses a scatter plot to see if more customer visits lead to higher sales, helping decide where to focus marketing efforts.

Key Takeaways

Manual number comparison is slow and error-prone.

Scatter plots visualize relationships clearly and quickly.

They help spot trends and outliers to guide better decisions.