Binning data
When the data on the x axis is a continuous value, it can be useful to break it into different bins in order to get a better visualization of the changes in the data.
For this exercise, we will look at the relationship between tuition and the
Undergraduate population abbreviated as UG in this data. We will start by looking at a
scatter plot of the data and examining the impact of different bin sizes on the
visualization.
Questo esercizio fa parte del corso
Intermediate Data Visualization with Seaborn
esercizio interattivo pratico
Prova questo esercizio completando questo codice di esempio.
# Create a scatter plot by disabling the regression line
sns.regplot(data=df,
y='Tuition',
x='UG',
fit_reg=____)
plt.show()
plt.clf()