application_vnd.jupyter.stderr_output_2.png text_plain_output_1.png image_output_1.png
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

houseprice_df = pd.read_csv('../input/train.csv')
test_df = pd.read_csv('../input/test.csv')

houseprice_df = houseprice_df.drop(['Alley', 'PoolQC', 'Fence'], axis=1)
test_df = test_df.drop(['Alley', 'PoolQC', 'Fence'], axis=1)

print(pd.value_counts(houseprice_df['MSSubClass'].values, sort=False))
houseprice_df['MSSubClass'].plot(kind='hist', figsize=(15, 3), bins=50, xlim=(0, 100))
sns.factorplot('MSSubClass', 'Survived', order=[1, 2, 3], data=titanic_df, size=5)