{"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_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import seaborn as sns\nimport matplotlib.pyplot as plt\nsns.set()\n\nimport pandas as pd","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2022-07-23T00:48:43.313397Z","iopub.execute_input":"2022-07-23T00:48:43.313812Z","iopub.status.idle":"2022-07-23T00:48:44.285797Z","shell.execute_reply.started":"2022-07-23T00:48:43.313779Z","shell.execute_reply":"2022-07-23T00:48:44.283953Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df = pd.read_csv('../input/titanic/train.csv')","metadata":{"execution":{"iopub.status.busy":"2022-07-23T00:48:44.381923Z","iopub.execute_input":"2022-07-23T00:48:44.382419Z","iopub.status.idle":"2022-07-23T00:48:44.406740Z","shell.execute_reply.started":"2022-07-23T00:48:44.382368Z","shell.execute_reply":"2022-07-23T00:48:44.405651Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"sns.set(font_scale=2)","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"cols = df.columns\nfig, axes = plt.subplots(4, 3, figsize=(50, 50))\naxes = axes.ravel()\n\nfor col, ax in zip(cols, axes):\n    sns.histplot(df[col], ax=ax)\n\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-07-23T00:51:13.209066Z","iopub.execute_input":"2022-07-23T00:51:13.209683Z","iopub.status.idle":"2022-07-23T00:52:24.636528Z","shell.execute_reply.started":"2022-07-23T00:51:13.209635Z","shell.execute_reply":"2022-07-23T00:52:24.634870Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}