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Created 3 years ago
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import sklearn
%matplotlib inline
income_df = pd.read_csv("./adult.csv")
income_df.head()
income_df.describe()
income_df.isnull().sum()
age 0
workclass 0
fnlwgt 0
education 0
educational-num 0
marital-status 0
occupation 0
relationship 0
race 0
gender 0
capital-gain 0
capital-loss 0
hours-per-week 0
native-country 0
income 0
dtype: int64
income_df.age = income_df.age.astype(float)
income_df['hours-per-week'] = income_df['hours-per-week'].astype(float)