In Tableau, which visualization helps in identifying correlations between two variables?

A scatter plot is an effective visualization for identifying correlations between two variables because it displays data points on a two-dimensional plane where each axis represents one of the variables. By plotting these points, you can easily observe patterns or trends, such as whether an increase in one variable corresponds to an increase or decrease in the other.

If the points tend to cluster along a straight line, it suggests a strong correlation, while a more random distribution indicates little to no correlation. This ability to visually assess the relationship between the two variables is what makes scatter plots particularly useful in data analysis and establishing correlations in various fields such as finance, health sciences, and social sciences.

Other types of visualizations mentioned, like pie charts and bar charts, are intended for categorical data representation and comparisons rather than illustrating relationships between continuous variables. A heat map can show the intensity of data points or values across a grid, but it generally does not convey the same direct correlation insights as a scatter plot.