## Introduction

This article describes how to create a correlation matrix which visualizes the correlations between variables as a heat map.

## Requirements

A data set containing two or more variables which have a **Structure** set as **Numeric** or **Numeric- Multi**. Note that binary categorical variables can also be used as inputs but will be converted to numeric when calculating the correlation coefficients.

## Method

1. Select **Anything > Advanced Analysis > Correlation > Correlation Matrix** or select **Home > Anything > Advanced Analysis > Correlation > Correlation Matrix. **

2. Select your inputs from the object inspector on the right using one of the following methods:

- With
**Data source**set to 'Variables' (this is the default setting) or 'Variable sets' , select two or more variables from the**Variables**drop-down box. - Change
**Data source**to 'Table' and then select your table from the**Table**drop-down box. Rows and columns that you don't want to include in the analysis can be specified by entering these in the**Ignore**box.

3. Choose the **Correlation Type**:

- Pearson (default) - based on the actual data
- Spearman - based on the ranks of the data (this is less susceptible to outliers and thus less likely to represent the true nature of the correlation).

4. Click the **Calculate** button (or tick the **Automatic** checkbox at the top of the object inspector) to generate the correlation matrix.

## See Also

How to Conduct a Test of Correlation Between Two Variables

How to Create a Scatter Plot Matrix

How to Create a Table of Coefficients from a Correlation Matrix

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