text_html_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

df = pd.read_csv('../input/framingham.csv')
df.drop(['education'], axis=1, inplace=True)

df.rename(columns={'male': 'Sex_male'}, inplace=True)

df.isnull().sum()

count = 0
for i in df.isnull().sum(axis=1):
    count = count + 1

df.dropna(axis=0, inplace=True)

def draw_histograms(dataframe,features,rows,cols):
    fig = plt.figure(figsize = (20,20))
    for i, feature in enumerate(features):
        a = fig.add_subplot(rows,cols,i+1)
        dataframe[feature].hist(bins = 20,ax=a,facecolor = 'green')
        a.set_title(feature + "Distribution",color = 'blue')
    fig.tight_layout()
    plt.show()
draw_histograms(df,df.columns,6,3)

df.TenYearCHD.value_counts()

sns.pairplot(df)