columns = data.select_dtypes(include = [np.number]).columns
figure = plt.figure(figsize = (20, 10))
figure.add_subplot(1, len(columns), 1)
for idx, col in enumerate(columns):
if idx > 0:
figure.add_subplot(1, len(columns), idx + 1)
sns.boxplot(data = amz_data, y = col, boxprops = { "facecolor": "None" })
plt.xlabel(col)
figure.tight_layout()
plt.show()