From 8f5abf52fd18e39725d7f76863f5c42742878277 Mon Sep 17 00:00:00 2001
From: frodrigue-ensae <fanta.rodrigue@ensae.fr>
Date: Tue, 5 Mar 2024 02:15:03 +0000
Subject: [PATCH] stat

---
 Spectacle/Stat_desc.ipynb | 431 +++++++++++++++++++++++++++++++++++++-
 1 file changed, 425 insertions(+), 6 deletions(-)

diff --git a/Spectacle/Stat_desc.ipynb b/Spectacle/Stat_desc.ipynb
index c8e2dce..e9ab769 100644
--- a/Spectacle/Stat_desc.ipynb
+++ b/Spectacle/Stat_desc.ipynb
@@ -3814,7 +3814,259 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 48,
+   "id": "643e75f7-5ff2-45e8-b6b9-808d2c8d40c4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>customer_id</th>\n",
+       "      <th>nb_tickets</th>\n",
+       "      <th>nb_purchases</th>\n",
+       "      <th>total_amount</th>\n",
+       "      <th>nb_suppliers</th>\n",
+       "      <th>vente_internet_max</th>\n",
+       "      <th>purchase_date_min</th>\n",
+       "      <th>purchase_date_max</th>\n",
+       "      <th>time_between_purchase</th>\n",
+       "      <th>nb_tickets_internet</th>\n",
+       "      <th>number_compagny</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>19482</td>\n",
+       "      <td>88</td>\n",
+       "      <td>29</td>\n",
+       "      <td>872.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2643.092500</td>\n",
+       "      <td>718.149398</td>\n",
+       "      <td>1924.943102</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>19484</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>62.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1745.021736</td>\n",
+       "      <td>1743.045035</td>\n",
+       "      <td>1.976701</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>19485</td>\n",
+       "      <td>131</td>\n",
+       "      <td>21</td>\n",
+       "      <td>1878.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2649.044745</td>\n",
+       "      <td>85.240845</td>\n",
+       "      <td>2563.803900</td>\n",
+       "      <td>84.0</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>19486</td>\n",
+       "      <td>10</td>\n",
+       "      <td>4</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1944.077604</td>\n",
+       "      <td>1742.794225</td>\n",
+       "      <td>201.283380</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>19487</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>33.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1742.877766</td>\n",
+       "      <td>1742.877766</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>99580</th>\n",
+       "      <td>6884747</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.193750</td>\n",
+       "      <td>0.193750</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>99581</th>\n",
+       "      <td>6884748</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.186806</td>\n",
+       "      <td>0.186806</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>99582</th>\n",
+       "      <td>6884750</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>80.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.136111</td>\n",
+       "      <td>0.136111</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>99583</th>\n",
+       "      <td>6884751</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.122917</td>\n",
+       "      <td>0.122917</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>99584</th>\n",
+       "      <td>6884753</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.047222</td>\n",
+       "      <td>0.047222</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>14</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>764880 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       customer_id  nb_tickets  nb_purchases  total_amount  nb_suppliers  \\\n",
+       "0            19482          88            29         872.0             2   \n",
+       "1            19484           3             2          62.0             1   \n",
+       "2            19485         131            21        1878.0             2   \n",
+       "3            19486          10             4          96.0             1   \n",
+       "4            19487           2             1          33.0             1   \n",
+       "...            ...         ...           ...           ...           ...   \n",
+       "99580      6884747           2             1          40.0             1   \n",
+       "99581      6884748           2             1          40.0             1   \n",
+       "99582      6884750           4             1          80.0             1   \n",
+       "99583      6884751           2             1          40.0             1   \n",
+       "99584      6884753           2             1          40.0             1   \n",
+       "\n",
+       "       vente_internet_max  purchase_date_min  purchase_date_max  \\\n",
+       "0                       1        2643.092500         718.149398   \n",
+       "1                       0        1745.021736        1743.045035   \n",
+       "2                       1        2649.044745          85.240845   \n",
+       "3                       0        1944.077604        1742.794225   \n",
+       "4                       0        1742.877766        1742.877766   \n",
+       "...                   ...                ...                ...   \n",
+       "99580                   0           0.193750           0.193750   \n",
+       "99581                   0           0.186806           0.186806   \n",
+       "99582                   0           0.136111           0.136111   \n",
+       "99583                   0           0.122917           0.122917   \n",
+       "99584                   0           0.047222           0.047222   \n",
+       "\n",
+       "       time_between_purchase  nb_tickets_internet  number_compagny  \n",
+       "0                1924.943102                  8.0               10  \n",
+       "1                   1.976701                  0.0               10  \n",
+       "2                2563.803900                 84.0               10  \n",
+       "3                 201.283380                  0.0               10  \n",
+       "4                   0.000000                  0.0               10  \n",
+       "...                      ...                  ...              ...  \n",
+       "99580               0.000000                  0.0               14  \n",
+       "99581               0.000000                  0.0               14  \n",
+       "99582               0.000000                  0.0               14  \n",
+       "99583               0.000000                  0.0               14  \n",
+       "99584               0.000000                  0.0               14  \n",
+       "\n",
+       "[764880 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "products_purchased_reduced_spectacle"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
    "id": "74534ded-8121-43fb-8cf8-af353bed2c77",
    "metadata": {},
    "outputs": [
@@ -3842,7 +4094,7 @@
        "dtype: int64"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 47,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3914,15 +4166,182 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "eb6355e0-3f8c-47d9-a5ee-d349040dcf51",
+   "execution_count": 44,
+   "id": "6db089d5-5517-4aee-a5fd-53f20ae3f0d7",
    "metadata": {},
    "outputs": [],
+   "source": [
+    "#importation librairies\n",
+    "import warnings\n",
+    "warnings.simplefilter(\"ignore\")\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import statsmodels\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "from scipy.stats import shapiro\n",
+    "from numpy.random import randn\n",
+    "import scipy.stats as st\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "eb6355e0-3f8c-47d9-a5ee-d349040dcf51",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, \"Boite à moustache du chiffre d'affaire selon les compagnies de spectacles\")"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "#repartion Chiffre d'affaire selon le numero de la compagnie\n",
     "\n",
-    "sns.boxplot(data=chiffre_affaire_categ, y=\"chiffre_affaire\",x=\"categ\",showfliers=False,showmeans=True)\n",
-    "plt.title(\"Boite à moustache du chiffre d'affaire selon les categories de livre\")"
+    "sns.boxplot(data=products_purchased_reduced_spectacle, y=\"total_amount\",x=\"number_compagny\",showfliers=False,showmeans=True)\n",
+    "plt.title(\"Boite à moustache du chiffre d'affaire selon les compagnies de spectacles\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "id": "aacf2c34-f7ea-4d6e-935b-c5db01f03bbe",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>number_compagny</th>\n",
+       "      <th>nb_tickets</th>\n",
+       "      <th>nb_tickets_internet</th>\n",
+       "      <th>Taux_ticket_internet</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>10</td>\n",
+       "      <td>492314</td>\n",
+       "      <td>126262.0</td>\n",
+       "      <td>25.646640</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>11</td>\n",
+       "      <td>318969</td>\n",
+       "      <td>16348.0</td>\n",
+       "      <td>5.125263</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>12</td>\n",
+       "      <td>591028</td>\n",
+       "      <td>42045.0</td>\n",
+       "      <td>7.113876</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>13</td>\n",
+       "      <td>7024227</td>\n",
+       "      <td>1247482.0</td>\n",
+       "      <td>17.759705</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>14</td>\n",
+       "      <td>335741</td>\n",
+       "      <td>125638.0</td>\n",
+       "      <td>37.421107</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   number_compagny  nb_tickets  nb_tickets_internet  Taux_ticket_internet\n",
+       "0               10      492314             126262.0             25.646640\n",
+       "1               11      318969              16348.0              5.125263\n",
+       "2               12      591028              42045.0              7.113876\n",
+       "3               13     7024227            1247482.0             17.759705\n",
+       "4               14      335741             125638.0             37.421107"
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Taux de ticket payé par internet selon les compagnies\n",
+    "\n",
+    "purchase_spectacle = products_purchased_reduced_spectacle.groupby(\"number_compagny\")[[\"nb_tickets\", \"nb_tickets_internet\"]].sum().reset_index()\n",
+    "purchase_spectacle[\"Taux_ticket_internet\"] = purchase_spectacle[\"nb_tickets_internet\"]*100 / purchase_spectacle[\"nb_tickets\"]\n",
+    "purchase_spectacle"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "id": "f71bb53d-724b-454d-8743-305d20eec2b0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Création du barplot\n",
+    "plt.bar(purchase_spectacle[\"number_compagny\"],  purchase_spectacle[\"Taux_ticket_internet\"])\n",
+    "\n",
+    "# Ajout de titres et d'étiquettes\n",
+    "plt.xlabel('Company')\n",
+    "plt.ylabel(\"Taux d'achat de tickets en ligne (%)\")\n",
+    "plt.title(\"Taux d'achat des tickets en ligne selon les compagnies de spectacle\")\n",
+    "\n",
+    "# Affichage du barplot\n",
+    "plt.show()"
    ]
   },
   {