Detect skewed variables
We have created a dataset called data
for you with three variables: var1
, var2
and var3
. You will now explore their distributions.
The plt.subplot(...)
call before the seaborn function call allows you to plot several subplots in one chart, you do not have to change it.
Libraries seaborn
and matplotlib.pyplot
have been loaded as sns
and plt
respectively. Feel free to explore the dataset in the console.
This exercise is part of the course
Customer Segmentation in Python
Exercise instructions
- Plot the distribution of
var1
. - Plot the distribution of
var2
. - Plot the distribution of
var3
. - Show the plot.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Plot distribution of var1
plt.subplot(3, 1, 1); sns.____(data['____'])
# Plot distribution of var2
plt.____(3, 1, 2); sns.____(____)
# Plot distribution of var3
____
# Show the plot
plt.____()