manchesterunited-18-19-season-analysis.ipynb

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    "# 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",
    "\n",
    "import numpy as np # linear algebra\n",
    "import plotly as py\n",
    "import plotly.graph_objs as go\n",
    "import ipywidgets as widgets\n",
    "from scipy import special\n",
    "import plotly.express as px\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "\n",
    "# Set plotly for offline mode\n",
    "py.offline.init_notebook_mode(connected=True)\n",
    "\n",
    "import os\n",
    "data = pd.read_excel('/kaggle/input/manchester-united-season-201819/Manchester United 2018-19.xlsx')\n"
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    "# Rename Columns\n",
    "data = data.rename(columns={\"Unnamed: 1\": \"opponent\"})\n",
    "data = data.rename(columns={\"Unnamed: 2\": \"goals_scored\"})\n",
    "data = data.rename(columns={\"Unnamed: 3\": \"goals_taken\"})\n",
    "data = data.rename(columns={\"Unnamed: 4\": \"result\"})\n",
    "data = data.rename(columns={\"Unnamed: 5\": \"possession\"})\n",
    "data = data.rename(columns={\"Unnamed: 9\": \"location\"})"
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    "# Select required column data\n",
    "data = data[[\"opponent\", \"goals_scored\", \"goals_taken\", \"result\", \"possession\", \"location\"]]\n",
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   ],
   "source": [
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  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
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    "dataMorePossession = data[data['possession'] > 50]\n",
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\"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"location\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"result\"}}},\n",
       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('fea227d7-cbcf-4d6a-9300-dbb9e681e5b7');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })\n",
       "                };\n",
       "                });\n",
       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# When playing home vs away\n",
    "fig3 = px.line(data, x='location', y='result')\n",
    "fig3.show()"
   ]
  }
 ],
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