Visualizing with seaborn

Histograms

You can use Seaborn's .histplot() method to create a histogram, which provides frequency counts for continuous data. This method uses the argument bins= to specify the number of bins in the histogram.

Note: In the plot below, the y-axis represents the count of values falling within each bin.

# view of states with lower population
df_small = df.loc[df.loc[:, 'Population_Mil'] < 20]

# create histogram
sns.histplot(x = 'Population_Mil',
             data = df_small,
             bins = 15)
plt.show()

Two overlapping distributions to compare frequencies.

# create overlapping histogram with two calls
sns.histplot(x = 'Rates.Property.Motor',
             data = df_small,
             bins = 15)
sns.histplot(x = 'Rates.Property.Burglary',
             data = df_small,
             bins = 15,
             color = 'purple')
plt.show()