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import matplotlib.pyplot as plt

import pandas as pd

import warnings

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from datetime import datetime
from scipy import stats
from scipy.stats import skew, boxcox_normmax, norm
import matplotlib.gridspec as gridspec
from matplotlib.ticker import MaxNLocator
import warnings
pd.options.display.max_columns = 250
pd.options.display.max_rows = 250
warnings.filterwarnings('ignore')
plt.style.use('fivethirtyeight')

import os
train = pd.read_csv('/kaggle/input/house-prices-advanced-regression-techniques/train.csv')
test = pd.read_csv('/kaggle/input/house-prices-advanced-regression-techniques/test.csv')

train.describe().T