# Correlation

In this section, we will cover correlation – what does correlation mean, and how do we check the correlation between the `DEFAULT`

column and other columns in our dataset?

Correlation measures the degree of dependency between any two variables. Say, for example, we have two variables, A and B. If the value of B increases when the value of A is increased, we say the variables are positively correlated. On the other hand, if the value of B decreases when we increase the value of A, we say the variables are negatively correlated. There could also be a situation where an increase in the value of A doesn't affect the value of B, for which we say the variables are uncorrelated.

The value of a correlation coefficient can vary between -1 to 1, with 1 being a strong positive correlation and -1 a strong negative correlation.

By studying the correlation between the `DEFAULT`

column and other columns with the help of a heatmap, we can figure out which column/variable...