text_plain_output_1.png
import matplotlib.pyplot as plt

import numpy as np

import pandas as pd

import seaborn as sns

train_data = pd.read_csv('../input/house-prices-advanced-regression-techniques/train.csv')
test_data = pd.read_csv('../input/house-prices-advanced-regression-techniques/test.csv')

train_data.shape

fig = plt.figure(figsize=(10,5))
sns.distplot(train_data['SalePrice'])
plt.tight_layout()
plt.show()

fig = plt.figure(figsize=(10, 5))
sns.distplot(np.log1p(train_data['SalePrice']))
plt.tight_layout()
plt.show()