A Scatter Chart (or Scatter Plot) is a type of chart that displays individual data points on a 2D grid, based on two variables — X and Y.

A scatter chart, also known as a scatter plot or scatter diagram, is a type of chart that displays values for typically two variables as a set of points on a two-dimensional coordinate system. The position of each point on the chart represents the values of the two variables for a single data point. Scatter charts are used to visualize relationships between variables and identify patterns, trends, or correlations.

Key Features:

1. Each point shows a relationship between two values
2. ood for finding correlations, trends, or clusters
3. No bars or lines — just dots

Variables:

Scatter charts are used to analyze the relationship between two continuous numerical variables.

Axes:

One variable is plotted on the horizontal (x) axis, and the other is plotted on the vertical (y) axis.

Data Points:

Each data point on the chart represents a pair of values for the two variables.

Uses:

Scatter charts are widely used in various fields, including science, engineering, and business, to:

1. Explore relationships between variables. 
2. Identify potential cause-and-effect relationships. 
3. Analyze trends and patterns in data. 
4. Detect outliers and anomalies. 
5. Test hypotheses about relationships between variables. 
6. Visualize large datasets. 

Patterns and Relationships:

By examining the distribution of points, you can identify: 

1. Positive Correlation: When one variable increases, the other tends to increase as well. 
2. Negative Correlation: When one variable increases, the other tends to decrease. 
3. No Correlation: The points are scattered randomly, with no discernible pattern. 
4. Clusters: Groups of points that are close together, suggesting a subgroup within the data. 
5. Outliers: Points that are far away from the main cluster of data, potentially indicating unusual or erroneous data. 

Scatter Chart Example