- A scatter plot is employed to find out if there is any relationship between two variables.
- In a scatter plot, when both the variables are continous the markers find their places all over the plot.
- On the other hand, if one of the axis of a scatter plot represents a categorical variable(Not a continous variable - a discrete variable, a countable variable), the markers of a specific category align in a straigt line parallel to the other axis.
- To explicitly convey that the markers for each category are just clouds of values and not really a relation like straight line, a jitter plot is used.
- A jitter plot in this context, is a scatter plot drawn with a jitter value. The jitter value is between 0 to width of the category/2.
Example - Scatter plot:
import matplotlib.pyplot as plt
sbn.scatterplot(x="Period", y="Fans Left", data=df);
Example: Drawing a strip plot using seaborn:
Making the following code change to the above example - i.e., replacing the scatterplot() function call with a call to stripplot(), draws a stripplot.
|sbn.stripplot(x="Period", y="Fans Left", data=df);|