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How to count the number of missing values in each column?
# Input
df = pd.read_csv('https://raw.githubusercontent.com/selva86/datasets/master/Cars93_miss.csv')
# Solution
n_missings_each_col = df.apply(lambda x: x.isnull().sum())
n_missings_each_col.argmax()
# output
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