Find the relationship between two sets of data by using the '**Correlations**' feature. For example: *Ever wonder if there is a relation between residents using food stamps and their educational attainment? If so, how much? Is the relation stronger or weaker than you expected? *Now, you can discover what data are related, support your findings, and determine how strong they are.

- In the right hand corner of your map, you'll notice a white box that shows the strength of the relationship between the two sets of data you have selected (i.e.: Correlation: + 0.09 ⍊ 0.12)
- Interpret your correlation: you'll notice that there will be a text description of the correlation, the correlation coefficient value, and the margin of error.

The text description of the correlations are paired with the following correlation coefficient values.

**No Correlation:** 0.3 to -0.3**Weak Correlation:** 0.5 to 0.3 and -0.3 to -0.5**Moderate Correlation: **0.8 to 0.5 and -0.5 to -0.8**Strong Correlation:** 1 to 0.8 and -0.8 to -1

If your correlation is labeled **invalid**, that is** **because the **margin of error** is too high. The margin of error is listed after the correlation coefficient.

If you get **unable to correlate**, it means you have fewer than 20 features (geographies) in your map view. Since correlation is about the relationship of values from both datasets, you need a minimum of 20 geographies visible to calculate a correlation.

Still not sure how to correlate your data? Watch an example here: