Using scatter plots and histograms

Scatter plots are very often encountered around, as they are the most common plot to visualize the relation between two variables. If we want to take a quick look at the data and see if there is any relation between those (that is, correlation), we would draw a quick scatter plot. For a scatter plot to exist, we must have one variable that can be systematically changed by, for example, experimenter, so we can inspect the possibilities of influencing another variable.

That's why, in this recipe, you will learn how to understand the scatter plots.

Getting ready

We want to see, for example, how two events are affected by each other or if they are affected at all. This visualization is especially useful on large sets of data, where we cannot make any conclusions by looking at the data in the native form—when it is just numbers.

Correlation between values, if there is any, can be positive and negative. Positive correlation is when, for increasing X values, the Y...