# Importing libraries
import pandas as pd

# Read csv file into a pandas dataframe
df = pd.read_csv("employees.csv")
print(df.head())
print("after:")
# a list with all missing value formats
missing_value_formats = ["n.a.","?","NA","n/a", "na", "--","-","n.a"]
df = pd.read_csv("employees.csv", na_values = missing_value_formats)

# print gender again
print(df.head())
de1f5229031221d5057d80cafceb2902768b79d3
<mask token>

<mask token>
print(df.head())
print('after:')
<mask token>
print(df.head())

<mask token>
df = pd.read_csv('employees.csv')
print(df.head())
print('after:')
missing_value_formats = ['n.a.', '?', 'NA', 'n/a', 'na', '--', '-', 'n.a']
df = pd.read_csv('employees.csv', na_values=missing_value_formats)
print(df.head())

import pandas as pd
df = pd.read_csv('employees.csv')
print(df.head())
print('after:')
missing_value_formats = ['n.a.', '?', 'NA', 'n/a', 'na', '--', '-', 'n.a']
df = pd.read_csv('employees.csv', na_values=missing_value_formats)
print(df.head())

# Importing libraries
import pandas as pd

# Read csv file into a pandas dataframe
df = pd.read_csv("employees.csv")
print(df.head())
print("after:")
# a list with all missing value formats
missing_value_formats = ["n.a.","?","NA","n/a", "na", "--","-","n.a"]
df = pd.read_csv("employees.csv", na_values = missing_value_formats)

# print gender again
print(df.head())