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import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import seaborn as sns

train = pd.read_csv('../input/30-days-of-ml/train.csv')
test = pd.read_csv('../input/30-days-of-ml/test.csv')
ss = pd.read_csv('../input/30-days-of-ml/sample_submission.csv')

train_df = train.drop('id', axis=1)

num_data = train_df.select_dtypes('number')
cat_data = train_df.select_dtypes('object')
num_data.head()