{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nimport os\n%matplotlib inline\nsns.set_palette('Set2')","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"train_path='../input/osic-pulmonary-fibrosis-progression/train.csv'\ntest_path='../input/osic-pulmonary-fibrosis-progression/test.csv'\ntrain_data=pd.read_csv(train_path)\ntrain_df=pd.DataFrame(train_data)\ntrain_df.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"print(train_df.info())\nprint(train_df.describe())\ntrain_df.isnull().sum()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_eda=train_df.copy()\ntrain_eda['Age Distribution']=pd.cut(train_eda['Age'],5)\ntrain_eda[['Age','Age Distribution']].groupby('Age Distribution',as_index=False).count()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"fig_dims = (14, 4)\nfig, ax = plt.subplots(figsize=fig_dims)\nsns.distplot(sorted(train_eda['Age']))\nplt.title('Distribution of Patients Age-wise')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"fig_dims = (15, 4)\nfig, ax = plt.subplots(figsize=fig_dims)\nsns.countplot(data=train_eda,x='Age',hue='Sex')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_eda.plot.pie(y='SmokingStatus')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"corr=train_df.corr()\nsns.heatmap(corr,cmap='coolwarm')","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat":4,"nbformat_minor":4}