import pandas as pd

df = pd.read_csv('Data_Tracerstudy/Data_2019_Tracer_study.csv', sep=';', encoding='utf-8-sig')
print("2019 F402 counts (including NaN):")
print(df['F402'].value_counts(dropna=False))

print("\n2019 F1602 counts (including NaN):")
print(df['F1602'].value_counts(dropna=False))

print("\n2019 F401 counts (including NaN):")
print(df['F401'].value_counts(dropna=False))

print("\n2019 F1601 counts (including NaN):")
print(df['F1601'].value_counts(dropna=False))