{"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":"2022-08-30T18:03:34.137610Z","iopub.execute_input":"2022-08-30T18:03:34.138701Z","iopub.status.idle":"2022-08-30T18:03:34.168325Z","shell.execute_reply.started":"2022-08-30T18:03:34.138608Z","shell.execute_reply":"2022-08-30T18:03:34.167209Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import matplotlib.pyplot as plt\nimport seaborn as sns","metadata":{"execution":{"iopub.status.busy":"2022-08-30T18:04:51.446204Z","iopub.execute_input":"2022-08-30T18:04:51.447341Z","iopub.status.idle":"2022-08-30T18:04:52.079096Z","shell.execute_reply.started":"2022-08-30T18:04:51.447297Z","shell.execute_reply":"2022-08-30T18:04:52.077894Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#data\nnyra_tracking = pd.read_csv('/kaggle/input/big-data-derby-2022/nyra_tracking_table.csv')\nnyra_start = pd.read_csv('/kaggle/input/big-data-derby-2022/nyra_start_table.csv')\nnyra_race = pd.read_csv('/kaggle/input/big-data-derby-2022/nyra_race_table.csv')\nnyra_complete = pd.read_csv('/kaggle/input/big-data-derby-2022/nyra_2019_complete.csv')","metadata":{"execution":{"iopub.status.busy":"2022-08-30T18:06:52.632150Z","iopub.execute_input":"2022-08-30T18:06:52.633095Z","iopub.status.idle":"2022-08-30T18:07:13.852213Z","shell.execute_reply.started":"2022-08-30T18:06:52.633058Z","shell.execute_reply":"2022-08-30T18:07:13.850999Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"nyra_start.jockey.value_counts()","metadata":{"execution":{"iopub.status.busy":"2022-08-30T18:25:15.119200Z","iopub.execute_input":"2022-08-30T18:25:15.119871Z","iopub.status.idle":"2022-08-30T18:25:15.134008Z","shell.execute_reply.started":"2022-08-30T18:25:15.119817Z","shell.execute_reply":"2022-08-30T18:25:15.133001Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"nyra_tracking.race_number.value_counts()","metadata":{"execution":{"iopub.status.busy":"2022-08-30T18:28:35.314466Z","iopub.execute_input":"2022-08-30T18:28:35.314810Z","iopub.status.idle":"2022-08-30T18:28:35.367627Z","shell.execute_reply.started":"2022-08-30T18:28:35.314776Z","shell.execute_reply":"2022-08-30T18:28:35.366473Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}