Most of the values are less than 50,000. But some them are over 1 million. .
What type of graph/figure is a good choice for data like this?
Here is an MWE creating that data
#!/usr/bin/env python3 import seaborn as sns import matplotlib.pyplot as plt import numpy as np np.random.seed(0) sns.set_theme() # 40.000 values from 500 to 10.000 vals = np.random.choice(range(500, 10000), 40000, replace=True) # 2.000 values from 20.000 to 100.000 vals = np.append(vals, np.random.choice(range(20000, 100000), 2000, replace=True)) # 300 values (extrem outliners) from 1 to 4 Mio. vals = np.append(vals, np.random.choice(range(1000000, 4000000), 300, replace=True)) sns.boxplot(vals) plt.show()
EDIT: The example data is not contrived. This distribution is very near to a real data set.
EDIT 2: The values are currencies (in €); costs. And of course I will dive deeper into the data to find out why some persons cause so much more costs then others.