{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"collapsed":false},"outputs":[],"source":"import numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport seaborn as sns\n\n%matplotlib inline"},{"cell_type":"code","execution_count":null,"metadata":{"collapsed":false},"outputs":[],"source":"df_train=pd.read_csv('../input/train.csv')\ndf_test=pd.read_csv('../input/test.csv')"},{"cell_type":"code","execution_count":null,"metadata":{"collapsed":false},"outputs":[],"source":"df_train.head(2)"},{"cell_type":"code","execution_count":null,"metadata":{"collapsed":false},"outputs":[],"source":"df_train.info()"},{"cell_type":"code","execution_count":null,"metadata":{"collapsed":false},"outputs":[],"source":"features_with_nulls={k:v for k,v in df_train.isnull().apply(sum).to_dict().items() if v>0}\nfeatures_with_nulls"},{"cell_type":"code","execution_count":null,"metadata":{"collapsed":false},"outputs":[],"source":"df_train['x'].value_counts()\n        "},{"cell_type":"code","execution_count":null,"metadata":{"collapsed":false},"outputs":[],"source":""}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"}},"nbformat":4,"nbformat_minor":0}