Visualizing with seaborn

Box Plots

Another way of showing both central tendency and dispersion is the boxplot. In Seaborn, we can create boxplots by using the kind='box' argument.

# create boxplot
sns.boxplot(x = "State",
            y = "Rates.Violent.All",
            data = dfi)
plt.show()

# create horizontal boxplot
sns.boxplot(y = "State",
            x = "Rates.Violent.All",
            data=dfi)
plt.show()

# create masks
smalli_mask = dfi.loc[:, 'State'].isin(['Idaho', 'Iowa'])
recent_mask = dfi.loc[:, 'Decade'] > 1990

# create boxplots
sns.boxplot(x = "State",
            y = "Rates.Violent.All",
            hue = 'Decade',
            data = dfi.loc[smalli_mask & recent_mask])
plt.show()