{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import matplotlib.pyplot as plt; plt.rcdefaults()\nimport matplotlib.pyplot as plt\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\nimport os\n\nfor dirname, _, filenames in os.walk('/kaggle/input/nfl-playing-surface-analytics'):\n for filename in filenames:\n print(os.path.join(dirname, filename))\n# Adding trained data\n\n","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":" Interactive Analysis By DB, LB and WR (PART II)"},{"metadata":{},"cell_type":"markdown","source":"Please have a look on analysis after the data was trained on injuries. Data are highly interactive, so you ca click multiple chart in same time (or multiple selection from same chart using mouse). All interaction result should be reflected on upper chart where you can see % of the data selected and Injuries on Normal and Inversed data."},{"metadata":{},"cell_type":"markdown","source":"> **Tableau Report to DB**"},{"metadata":{"trusted":true,"_kg_hide-input":true},"cell_type":"code","source":"%%HTML\n
","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"> **Tableau Report to LB**"},{"metadata":{"_kg_hide-input":true,"trusted":true},"cell_type":"code","source":"%%HTML\n
","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"> **Tableau Report to WR**"},{"metadata":{"_kg_hide-input":true,"trusted":true},"cell_type":"code","source":"%%HTML\n
","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"> **Please share in comments if you find any additional findings**"}],"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":1}