{"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":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2022-08-11T00:01:41.828439Z","iopub.execute_input":"2022-08-11T00:01:41.829820Z","iopub.status.idle":"2022-08-11T00:01:41.842975Z","shell.execute_reply.started":"2022-08-11T00:01:41.829760Z","shell.execute_reply":"2022-08-11T00:01:41.841044Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train = pd.read_csv('../input/titanic/train.csv')\ntrain.head()","metadata":{"execution":{"iopub.status.busy":"2022-08-11T00:11:44.805768Z","iopub.execute_input":"2022-08-11T00:11:44.806271Z","iopub.status.idle":"2022-08-11T00:11:44.832116Z","shell.execute_reply.started":"2022-08-11T00:11:44.806228Z","shell.execute_reply":"2022-08-11T00:11:44.830615Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train.info()","metadata":{"execution":{"iopub.status.busy":"2022-08-11T00:11:45.208469Z","iopub.execute_input":"2022-08-11T00:11:45.208961Z","iopub.status.idle":"2022-08-11T00:11:45.226021Z","shell.execute_reply.started":"2022-08-11T00:11:45.208921Z","shell.execute_reply":"2022-08-11T00:11:45.224938Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# a coluna da cabine não será considerada, uma vez que não temos dados em quantidade suficiente para agregar à análise\n# será que devemos dropar? a cabine faz diferença a partir do momento em que se relaciona com a localização dentro do navio","metadata":{"execution":{"iopub.status.busy":"2022-08-11T00:15:40.825170Z","iopub.execute_input":"2022-08-11T00:15:40.826707Z","iopub.status.idle":"2022-08-11T00:15:40.831817Z","shell.execute_reply.started":"2022-08-11T00:15:40.826640Z","shell.execute_reply":"2022-08-11T00:15:40.830363Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train = train.drop(columns=['Cabin'], axis=1)\ntrain.head()","metadata":{"execution":{"iopub.status.busy":"2022-08-11T00:11:46.972927Z","iopub.execute_input":"2022-08-11T00:11:46.973992Z","iopub.status.idle":"2022-08-11T00:11:46.996612Z","shell.execute_reply.started":"2022-08-11T00:11:46.973936Z","shell.execute_reply":"2022-08-11T00:11:46.995222Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train = train.dropna()\ntrain.head()","metadata":{"execution":{"iopub.status.busy":"2022-08-11T00:13:28.602839Z","iopub.execute_input":"2022-08-11T00:13:28.603217Z","iopub.status.idle":"2022-08-11T00:13:28.625188Z","shell.execute_reply.started":"2022-08-11T00:13:28.603183Z","shell.execute_reply":"2022-08-11T00:13:28.624065Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train.info()","metadata":{"execution":{"iopub.status.busy":"2022-08-11T00:13:37.432393Z","iopub.execute_input":"2022-08-11T00:13:37.432867Z","iopub.status.idle":"2022-08-11T00:13:37.450226Z","shell.execute_reply.started":"2022-08-11T00:13:37.432825Z","shell.execute_reply":"2022-08-11T00:13:37.448724Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}