Univariate plots in seaborn
Seaborn is a popular plotting library. It embraces the concepts of "tidy data" and allows for quick ways to plot multiple variables.
You will begin by generating univariate plots.
Barplots and histograms are created using the countplot() and histplot() functions, respectively.
import seaborn as sns
import matplotlib.pyplot as plt
# Bar plot
sns.countplot(x='column_name', data=df)
plt.show()
# Histogram
sns.histplot(df['column_name'], kde = True)
plt.show()
This exercise is part of the course
Python for R Users
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
import seaborn as sns
import matplotlib.pyplot as plt
# Bar plot
sns.____(x=____, data=tips)
plt.show()