การแทนที่ข้อมูลสินเชื่อที่หายไป

# Print a null value column array
print(____.columns[____.____().any()])

# Print the top five rows with nulls for employment length
print(____[____[____].____()].head())

# Impute the null values with the median value for all employment lengths
____[____].____((cr_loan['person_emp_length'].____()), inplace=True)

# Create a histogram of employment length
n, bins, patches = plt.____(____[____], bins='auto', color='blue')
plt.xlabel("Person Employment Length")
plt.____()