text_plain_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

data = pd.read_csv('/kaggle/input/icr-identify-age-related-conditions/train.csv')

data.shape

data.isnull().sum()

data.dtypes[data.dtypes == 'object']

data.dtypes[data.dtypes == 'object'].isnull()

data.drop('Id', axis=1, inplace=True)

plt.figure(figsize=(12, 10))
plt.subplot(2, 3, 1)
sns.distplot(data['BQ'])
plt.subplot(2, 3, 2)
sns.distplot(data['DU'])
plt.subplot(2, 3, 3)
sns.distplot(data['EL'])
plt.subplot(2, 3, 4)
sns.distplot(data['FC'])
plt.subplot(2, 3, 5)
sns.distplot(data['FL'])
plt.subplot(2, 3, 6)
sns.distplot(data['FS'])