The DataFrame.describe() method includes various summary statistics methods. Suppose we have a synthetic DataFrame with only numeric values:
import pandas as pd
import numpy as np
values = np.random.randint(0, 100, size=(10, 2))
df = pd.DataFrame(values, columns=['measure', 'error'])Call .describe() on the DataFrame we just created. Which summary statistics methods are not included in the .describe() output?
Hint
Carefully review the DataFrame.describe section of the theory. Additionally, 50% in the .describe() output corresponds to the median value. The .isna()method detects the missing values.