I have a list like this,
import random import seaborn as sns years =  for i in range(1000): if i % 100 == 0: val = random.randint(1900, 2000) else: val = random.randint(2000, 2021) years.append(val) sns.distplot(years);
As you can see, there is a density after 2000. There is not much data before this point. My question is how can I find this point in skewed data? Is there a formula that gives this? Any idea? Thanks in advance.