2016-2017/Notes/Eval_312.ipynb

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   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use(\"seaborn-notebook\")\n",
    "\n",
    "from ipywidgets import interact, interactive, fixed\n",
    "import ipywidgets as widgets\n",
    "from IPython.display import display\n",
    "\n",
    "import notes_tools.tools as tools\n",
    "from notes_tools.tools.df_marks_manip import round_half_point"
   ]
  },
  {
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   },
   "outputs": [],
   "source": [
    "ws = tools.get_class_ws(\"312\")\n",
    "flat = tools.extract_flat_marks(ws)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
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   "source": [
    "quest_pov, exo_pov, eval_pov = tools.digest_flat_df(flat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
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   "outputs": [],
   "source": [
    "#eval_pov[\"Nom\"].unique()"
   ]
  },
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   },
   "source": [
    "## All in"
   ]
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   "outputs": [
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     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Eleve</th>\n",
       "      <th>Date</th>\n",
       "      <th>Bareme</th>\n",
       "      <th>Mark</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ABDALLAH Elza</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>11.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>ABDALLAH Nourayina</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>10.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>ABDALLAH Roukia</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>AHAMADI Laila</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>AHAMADI Satti</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>6.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>AHAMED El-Fahad</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>AHMED Nachmie</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>9.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>ALI ABDALLAH Raphael</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>ATTOUMANE Nasrati</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>ATTOUMANE Nedjima</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>11.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>DARKAOUI Issouf</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>DHOIMIR Hidayat</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>DJAMAL Hounaissati</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>DJANFAR Houmadi</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>FAIZ Aoufi Youssouf</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>HAMZA El-Hadji</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>HOUFRANE Soirta</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>IBRAHIM Hindou</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>IBRAHIM Rouiyati</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>ISSOUF Toifia</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>8.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>MOADJO Hachimia</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>MOHAMED Abderemane</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>7.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>MOHAMED Nadhir-Eddine</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>10.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>MOUSSA Faize</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>SAID Fatima</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>10.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>SAID Ramiati</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>SAÏD Latif</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>YOUSSOUF Ouldine</td>\n",
       "      <td>2016-11-14</td>\n",
       "      <td>13</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Eleve       Date  Bareme  Mark\n",
       "6            ABDALLAH Elza 2016-11-14      13  11.5\n",
       "15      ABDALLAH Nourayina 2016-11-14      13  10.5\n",
       "24         ABDALLAH Roukia 2016-11-14      13   4.5\n",
       "33           AHAMADI Laila 2016-11-14      13  11.0\n",
       "42           AHAMADI Satti 2016-11-14      13   6.5\n",
       "51         AHAMED El-Fahad 2016-11-14      13   0.0\n",
       "60           AHMED Nachmie 2016-11-14      13   9.5\n",
       "69    ALI ABDALLAH Raphael 2016-11-14      13   8.0\n",
       "78       ATTOUMANE Nasrati 2016-11-14      13   9.0\n",
       "87       ATTOUMANE Nedjima 2016-11-14      13  11.5\n",
       "96         DARKAOUI Issouf 2016-11-14      13   0.0\n",
       "105        DHOIMIR Hidayat 2016-11-14      13   3.5\n",
       "114     DJAMAL Hounaissati 2016-11-14      13   7.0\n",
       "123        DJANFAR Houmadi 2016-11-14      13   0.0\n",
       "132    FAIZ Aoufi Youssouf 2016-11-14      13   1.5\n",
       "141         HAMZA El-Hadji 2016-11-14      13   8.0\n",
       "150        HOUFRANE Soirta 2016-11-14      13  12.0\n",
       "159         IBRAHIM Hindou 2016-11-14      13   0.0\n",
       "168       IBRAHIM Rouiyati 2016-11-14      13   9.0\n",
       "177          ISSOUF Toifia 2016-11-14      13   8.5\n",
       "186        MOADJO Hachimia 2016-11-14      13   3.0\n",
       "195     MOHAMED Abderemane 2016-11-14      13   7.5\n",
       "204  MOHAMED Nadhir-Eddine 2016-11-14      13  10.5\n",
       "213           MOUSSA Faize 2016-11-14      13   0.0\n",
       "222            SAID Fatima 2016-11-14      13  10.5\n",
       "231           SAID Ramiati 2016-11-14      13   0.0\n",
       "240             SAÏD Latif 2016-11-14      13   0.0\n",
       "249       YOUSSOUF Ouldine 2016-11-14      13  10.0"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eval_pov[eval_pov[\"Nom\"] == \"DM2\"][[\"Eleve\",\"Date\",\"Bareme\", \"Mark\"]]\n"
   ]
  },
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   },
   "source": [
    "------"
   ]
  },
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        "row": 0,
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       },
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      }
     }
    }
   },
   "source": [
    "# Conn\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
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     }
    }
   },
   "outputs": [],
   "source": [
    "quest_conn = quest_pov[quest_pov[\"Nom\"].str.contains(\"Conn\")]\n",
    "exo_conn = exo_pov[exo_pov[\"Nom\"].str.contains(\"Conn\")]\n",
    "eval_conn = eval_pov[eval_pov[\"Nom\"].str.contains(\"Conn\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
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     }
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/lafrite/.virtualenvs/enseignement/lib/python3.5/site-packages/ipykernel/__main__.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  from ipykernel import kernelapp as app\n"
     ]
    }
   ],
   "source": [
    "#eval_conn[\"Normalized\"] = eval_conn[\"Mark\"] / eval_conn[\"Bareme\"]\n",
    "eval_conn[\"NonZero\"] = (eval_conn[\"Mark\"] != 0).astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
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     }
    }
   },
   "outputs": [],
   "source": [
    "conn_sum = eval_conn.groupby(\"Eleve\").sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
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     }
    }
   },
   "outputs": [],
   "source": [
    "conn_sum[\"Final\"] = (conn_sum[\"Normalized\"] / conn_sum[\"NonZero\"] * 20).apply(round_half_point)"
   ]
  },
  {
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     }
    }
   },
   "source": [
    "Analyse de notes finales des devoirs de connaissances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
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   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    26.000000\n",
       "mean     11.615385\n",
       "std       3.832252\n",
       "min       2.500000\n",
       "25%       9.375000\n",
       "50%      12.250000\n",
       "75%      13.875000\n",
       "max      18.000000\n",
       "Name: Final, dtype: float64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "conn_sum[\"Final\"].describe()"
   ]
  },
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     }
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f7866760748>"
      ]
     },
     "execution_count": 11,
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     "data": {
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jsWPGMuUKPut0ykpJf6fgL+X/SdJySVutta3ZFtvR0ZHtKkBWGhsbVVZWdpMLKoDw0GuI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\nMzOzWnkHO8oY7AZ9SXYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7866760c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "conn_sum[\"Final\"].hist(bins = 40, range = (0,20))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 4,
        "height": 2,
        "hidden": false,
        "row": 3,
        "width": 8
       },
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "source": [
    "Analyse de l'évolution sur le temps pour chaque élève"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": true
       }
      }
     }
    }
   },
   "outputs": [],
   "source": [
    "#exo_conn[\"Normalized\"] = exo_conn[\"Mark\"] / exo_conn[\"Bareme\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "hidden": true
       },
       "report_default": {
        "hidden": true
       }
      }
     }
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f786641df60>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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16lRUVlZ22Ad78aOI9xknJSUhKCiI2w8ICMCBAwekbix7FZ3tIygoCIWFhbytszezbdmy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sFh9Oybi3H14t+pwc5fUsmPrbb+aJ4fgJkVWrRMaNUxa0o2PJ91lktXHA17dU4zM1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jk3elws0f2TaClftAgyM0nAiJ7sJhUD9MjAi+voP04mfGHhAvW5qFQqNnwcoA48w9yV9Dz+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\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FYqLhz/J1Ij09HVPTwsONde7cmZYtW/LZZ5/luxYREYGxsTFNmjTRlZUpUwZ3d3fCw8N1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\nrEapgBYXF7Nnz57Hvu36sNi1axf6+vo11l4ODQ3l6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66iUqi4vuU6DsHVU/0888wz7N27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TZw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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f786644de80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.pivot_table(exo_conn,\n",
    "               index = [\"Date\"],\n",
    "               values = [\"Normalized\"],\n",
    "               columns = [\"Eleve\"],\n",
    "               ).plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 0,
        "height": 3,
        "hidden": false,
        "row": 25,
        "width": 11
       },
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "source": [
    "------------\n",
    "## DM1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 0,
        "height": 3,
        "hidden": false,
        "row": 28,
        "width": 11
       },
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "source": [
    "-------------\n",
    "## DS1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "hidden": true
       },
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "source": [
    "-------------------\n",
    "## DS2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": true
       }
      }
     }
    }
   },
   "outputs": [],
   "source": [
    "quest_DS2, exo_DS2, eval_DS2 = tools.select_eval(quest_pov, exo_pov, eval_pov, \"DS2\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": true
       }
      }
     }
    }
   },
   "outputs": [],
   "source": [
    "abs_pres = tools.get_present_absent(eval_DS2)\n",
    "absents = abs_pres[\"absents\"]\n",
    "presents = abs_pres[\"presents\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "source": [
    "Absents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "IBRAHIM Hindou\n",
      "MOUSSA Faize\n",
      "SAID Ramiati\n",
      "SAÏD Latif\n"
     ]
    }
   ],
   "source": [
    "for a in absents:\n",
    "    print(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": true
       }
      }
     }
    }
   },
   "outputs": [],
   "source": [
    "# On enlève les absents\n",
    "quest_DS2, exo_DS2, eval_DS2 = tools.keep_only_presents(quest_DS2, exo_DS2, eval_DS2, presents)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 4,
        "height": 4,
        "hidden": false,
        "row": 5,
        "width": 4
       },
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "source": [
    "### Vision globale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 8,
        "height": 7,
        "hidden": false,
        "row": 31,
        "width": 4
       },
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    24.000000\n",
       "mean     11.083333\n",
       "std       3.052678\n",
       "min       2.500000\n",
       "25%       9.500000\n",
       "50%      11.250000\n",
       "75%      13.125000\n",
       "max      16.000000\n",
       "Name: Mark, dtype: float64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eval_DS2[\"Mark\"].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 4,
        "height": 11,
        "hidden": false,
        "row": 31,
        "width": 4
       },
       "report_default": {
        "hidden": false
       }
      }
     }
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f78662b0208>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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x47n11ltTpyEp90YD84DxqRORlGv2Iklp1XM+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\nJkmSJEmSpFz6/94nbBtvNhOFAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f78663d6c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "eval_DS2[\"Mark\"].hist(bins = 20, range = (0,20), figsize = (15,5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 8,
        "height": 4,
        "hidden": false,
        "row": 5,
        "width": 4
       },
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "source": [
    "### Diagramme en boite par exercice"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 4,
        "height": 11,
        "hidden": false,
        "row": 9,
        "width": 4
       },
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f786477d198>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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VK1dy0EEHdVvjolOr1Vi3bh0bN26kv7+/7HK0QI2Pj7N9+/autrFt2zbOPvvslq/PThx2\n2GGsWLGi6+1o8fF9bXEb/eY4575qO6e/Bh71yL0vP5Wf3/szduz4QVe13LLjB7zzYxfxxhe9hl85\nqItiCgcd9Ej223f/jta99Qdw4UVwzgcPo+9XF857444dO9i5c/IX3/X/D2j4iey5MB/h9SvAc5vm\nHV/Mn6kJgBNOOIHBwcHZqmtJ6O/v9znTtI455piu1t+0aRNnn322r0/NG9/XFq9vcwxPPwXKPryb\nNm3inR+7iBe/+ZTS29qmTfC6i6DvV8t/Xvam/v8Be/7Yzazq5DqvB0TEkyLiV4tZq4rbv1Lc/7aI\nuKxhlQ8Aj42I8yPiiIg4nfzzel4wW5IkSW1pO7wCTyb/LOEIeczqu8i/01z/mcJDgF+pL5xS2k7+\n/fBnka8PeybwqpRS8xUIJFXQTTdNnkqSNJc6uc7rfzNN6E0p/dEU66xtd1+SFr6f/WzyVJKkudRJ\nz6sqoLe3l6GhIXp7e8suRYvcypW9wFAxleaO72uaL7a1ha2sS2VpjvX29jI8PFx2GVoCDjqoFxjG\ni35orvm+pvliW1vY7HmVJElSZRheJUmSVBmGV0mSJFWG4VWSJEmVYXiV1JXeXhgaylNJkuaaVxuQ\n1JXeXvCkXEnSfLHnVZIkSZVheJUkSVJlGF4lSZJUGYZXSZIkVYbhVZIkSZVheJUkSVJlGF4ldWV8\nHLZsyVNJkuaa4VVSV2o1OPLIPJUkaa4ZXiVJklQZhldJkiRVhuFVkiRJlWF4lSRJUmUYXiVJklQZ\nhldJkiRVhuFVkiRJlbGs7AIkVVt/P2zeDKtWlV2JJGkpMLxK6sqKFbBmTdlVSJKWCocNSJIkqTIM\nr5IkSaoMw6skSZIqw/AqSZKkyjC8SpIkqTIMr5IkSaoMw6ukroyNwfBwnkqSNNcMr5K6MjYG69cb\nXiVJ88PwKkmSpMowvEqSJKkyDK+SJEmqDMOrJEmSKsPwKkmSpMowvEqSJKkyDK+SurJ8OQwM5Kkk\nSXNtWdkFSKq2gQHYsqXsKiRJS4U9r5IkSaoMw6skSZIqw/AqSZKkyjC8SpIkqTIMr5IkSaoMw6sk\nSZIqw/AqSZKkyjC8SurK1q2wZk2eSpI01wyvkroyMZGD68RE2ZVIkpYCw6skSZIqw/AqSZKkyjC8\nSpIkqTIMr5IkSaoMw6skSZIqY1nZBUjqzI03wt13l10F1GqTp2U78EBYvbrsKiRJc8XwKlXQjTfC\n4x9fdhWTrVtXdgW73XCDAVaSFivDq1RB9R7XjRuhv7/cWhaSWi2H6IXQIy1JmhuGV6nC+vthcLDs\nKiRJmj+esCVJkqTKMLxKkiSpMgyvkiRJqgzDqyRJkirD8CpJkqTKMLxKkiSpMgyvkiRJqgzDqyRJ\nkirD8CpJkqTKMLxKkiSpMgyvkiRJqgzDqyRJkirD8CpJkqTKMLxKkiSpMgyvkiRJqoyOwmtEvDYi\ntkXEeER8NSKespflXx8RoxGxKyJujogLImL/zkqWJEnSUtV2eI2Ik4F3AUPAUcD1wJURsXKK5V8C\nvK1Yvg94JXAy8Jcd1ixJkqQlqpOe1zOBDSmly1NKo8CrgV3kUNrK0cCXUkr/nFK6OaX0WeAfgad2\nVLEkSZKWrLbCa0TsC6wFrq7PSykl4LPkkNrK/wBr60MLImIVcALwH50ULEmSpKVrWZvLrwQeBNze\nNP924IhWK6SU/rEYUvCliIhi/Q+klM5vt9harbbHvN7eXnp7e9vdlCRJkjo0NjbG2NjYpHmtctpc\naDe8TiWA1PKOiGcCZ5GHF1wLPA54X0SMpZTe2s5O1q1bt8e8oaEhhoeH2yxXkiRJndqwYQPr168v\nZd/thtedwH3AI5rmH8yevbF15wKXp5QuKW5viYgHAxuAtsLrxo0b6e/vnzTPXldJkqT5ddppp3Hi\niSdOmler1Vp2NM62tsJrSuneiBgBjgM+CVAMBTgOeN8Uq/UA9zfNu79YNYoxszPS39/P4OBgOyVL\nkiRplpU5bLOTYQMXAJcVIfZa8tUHeoBLASLicuD7KaWziuU/BZwZEd8EvgasJvfGfqKd4CpJkiS1\nHV5TSh8tTsA6lzx84JvAs1NKO4pFHg38omGV88g9recBjwJ2kHtt39JF3ZIkSVqCOjphK6V0IXDh\nFPcd23S7HlzP62RfkiRJUl1HPw8rSZIklcHwKkmSpMowvEqSJKkyDK+SJEmqDMOrJEmSKsPwKkmS\npMowvEqSJKkyDK+SJEmqDMOrJEmSKsPwKkmSpMowvEqSJKkyDK+SJEmqDMOrJEmSKsPwKkmSpMow\nvEqSJKkylpVdgPa0a9cuRkdHyy5jkr6+Pnp6esouQ5K0SO3alaebNpVbx0JTq5VdwcJjeF2ARkdH\nWbt2bdllTDIyMsLg4GDZZUiSFql6n82pp5Zbx0J14IFlV7BwGF4XoL6+PkZGRrraRq0G69bBxo3Q\n3z87NUmSNFdOOilP+/qg7C/6Zvv/0G4deCCsXl12FQuH4XUB6unp6bqXs78fNm+GVatgxYpZKkyS\npDmyciWcckrZVUzW3w9+6bjwGF4XqRUrYM2asquQJEmaXV5tQJIkSZVheJUkSVJlGF4lSZJUGYZX\nSZIkVYbhVZIkqcHy5TAwkKdaeLzagCRJUoOBAdiypewqNBV7XhepsTEYHs5TSZKkxcLwukiNjcH6\n9YZXSZK0uBheJUmSVBmGV0mSJFWG4VWSJEmVYXiVJElSZRheJUmSVBmGV0mSpAZbt8KaNXmqhcfw\nukj56yCSJHVmYiIH14mJsitRK/7C1iLlr4NIkqTFyJ5XSZIkVYbhVZIkSZVheJUkSVJlGF4lSZJU\nGYZXSZIkVYbhVZIkqUFvLwwN5akWHi+VJUmS1KC3F4aHy65CU7HndZHy10EkSdJiZHhdpPx1EEmS\ntBgZXiVJklQZhldJkiRVhuFVkiRJlWF4lSRJUmUYXiVJkhqMj8OWLXmqhcfrvM6yG2+Eu+8uuwqo\n1SZPy3bggbB6ddlVLB4xvoujGGXFAjm+C8WKGhwFxHgf0FN2OWqwa9cuRkdHyy5jkr6+Pnp6bCfa\nU60Ga9fCyAgMDpZdjZoZXmfRjTfC4x9fdhWTrVtXdgW73XCDAXa2LN8+yibWwgI6vgtBP7AJqG0f\ngWP8H2chGR0dZe3atWWXMcnIyAiDJhOpcgyvs6je47pxI/T3l1vLQlKr5RC9EHqkF4uJw/oYZIQP\n29YmqdXgpevgg4f1lV2KmvT19TEyMtLVNurvJbP1HtvXZzuRqsjwOgf6+/2aQXMrrejhOgYZ7wds\naw8YB64D0oqyK1Gznp6eWevl9D1WWto8YUuSJEmVYXiVJFXC8uUwMJCnkpYuhw1IkiphYCBfvkjS\n0mbPqyRJkirDnldJkqQG/f2weTOsWlV2JWrF8CpJktRgxQpYs6bsKjQVhw1IkiSpMgyvkiRJqgzD\nqyRJkirD8CpJkqTKMLxKkiph69Z8Es3WrWVXIqlMhldJUiVMTOTgOjFRdiWSymR4lSRJajA2BsPD\neaqFx/AqSZLUYGwM1q83vC5UhldJkiRVhuFVkiRJlWF4lSRJUmUYXiVJklQZhldJUiX09sLQUJ5K\nWrqWlV2AJEkz0dubL18kaWnrqOc1Il4bEdsiYjwivhoRT9nL8g+JiL+NiB8U64xGxHM6K1mSJGnu\nLF8OAwN5qoWn7Z7XiDgZeBfwx8C1wJnAlRHx+JTSzhbL7wt8FrgNeAHwA+AxwI+6qFuSJGlODAzA\nli1lV6GpdDJs4ExgQ0rpcoCIeDXwPOCVwNtbLP8q4KHA01JK9xXzbu5gv5IkSVri2ho2UPSirgWu\nrs9LKSVyz+rRU6z2fOArwIURcVtEfCsi3hwRniwmSZKktrTb87oSeBBwe9P824EjplhnFXAssBF4\nLrAauLDYzlvb3L8kSZKWsNm62kAAaYr79iGH2z8uemmvi4hHAW+kzfBaq9X2mNfb20uv102RJEma\nN2NjY4yNjU2a1yqnzYV2w+tO4D7gEU3zD2bP3ti6MeDnRXCtqwGHRMSylNIvZrrzdevW7TFvaGiI\nYa+dIkmL3vg43HQTrFoFK1aUXY20tG3YsIH169eXsu+2wmtK6d6IGAGOAz4JEBFR3H7fFKt9GXhx\n07wjgLF2givAxo0b6e/vnzTPXldJWhpqNVi7FkZGYHCw7Gqkpe20007jxBNPnDSvVqu17GicbZ0M\nG7gAuKwIsfVLZfUAlwJExOXA91NKZxXLXwT8SUS8F/gb4PHAm4H3tLvj/v5+Bn3HkiRJKlWZwzbb\nPuM/pfRR4M+Ac4HrgCcCz04p7SgWeTRwSMPy3weOB54CXE8Ore8Gzu+qckmSpDmwdSusWZOnWng6\nOmErpXQh+YoBre47tsW8rwG/3sm+JEmS5tPERA6uExNlV6JWvNaqJEmSKsPwKkmSpMowvEqSJKky\nDK+SJEmqjNn6hS1JkuZUfz9s3px/pEDS0mV4lSRVwooV+fJFkpY2hw1IkiQ16O2FoaE81cJjz6sk\nSVKD3l4YHi67Ck3FnldJkiRVhuFVkiRJlWF4lSRJUmUYXiVJklQZhldJUiWMjeWTaMbGyq5EUpkM\nr5KkShgbg/XrDa/SUmd4lSRJajA+Dlu25KkWHsOrJElSg1oNjjwyT7XwGF4lSZJUGYZXSZIkVYbh\nVZIkSZVheJUkSVJlGF4lSZWwfDkMDOSppKVrWdkFSJI0EwMD+fJFkpY2e14lSZJUGfa8SpIkNejv\nh82bYdWqsitRK4ZXSZKkBitWwJo1ZVehqThsQJIkSZVheJUkSVJlGF4lSZJUGYZXSZIkVYbhVZJU\nCVu35pNotm4tuxJJZTK8SpIqYWIiB9eJibIrkVQmw6skSVKDsTEYHs5TLTyGV0mSpAZjY7B+veF1\noTK8SpIkqTIMr5IkSaoMw6skSZIqY1nZBSwmMb6LoxhlRa3sShaWFTU4CojxPqCn7HIktWPXLm6+\napR77im7ELhtW34vue0KqC2A99kDDoBDj++DHt/XFpJdu3YxOjra1Tbq7Wu22llfXx89tpNZY3id\nRcu3j7KJtbCu7EoWln5gE1DbPgLHDJZdjqQ23HzVKIf+7tqyywDye8kJAGeXXEiDm/99hENP8n1t\nIRkdHWXt2tlps+tm6f/zkZERBgdtJ7PF8DqLJg7rY5ARPrwR+vvLrmbhqNXgpevgg4f1lV2KpDb9\n8KA+TmKEt54Hhx9edjULx7Zt8Jaz4YMH9XFo2cVokr6+PkZGRsouY5K+Pv//m02G11mUVvRwHYOM\n9wN+wHrAOHAdkFaUXYmkdtXf1w45Afp9X3vA+Ca47mzf1xainp4eezkXOU/YkiRJUmUYXiVJklQZ\nhldJkiRVhuFVkiRJlWF4lSRJUmUYXiVJklQZhldJkiRVhuFVkiRJlWF4lSRJUmUYXiVJklQZhldJ\nkiRVhuFVkiRJlWF4lSRJUmUYXiVJklQZhldJkiRVhuFVkiRJlWF4lSRJUmUYXiVJklQZhldJkiRV\nhuFVkiRJlWF4lSRJUmUYXiVJklQZhldJkiRVhuFVkiRJlWF4lSRJUmUYXiVJklQZhldJkiRVhuFV\nkiRJlWF4lSRJUmUYXiVJklQZhldJkiRVhuFVkiRJlbGs7AIWk1278nTTpnLrWGhqtbIrkCRJi4Xh\ndRaNjubpqaeWW8dCdeCBZVcgSZKqzvA6i046KU/7+qCnp9xaajVYtw42boT+/nJrgRxcV68uuwpJ\nklR1HYXXiHgt8EbgEOB64E9TSl+fwXp/AHwE+HhK6QWd7HshW7kSTjml7Com6++HwcGyq5AkSZod\nbZ+wFREnA+8ChoCjyOH1yohYuZf1HgO8A/hCB3VKkiRJHV1t4ExgQ0rp8pTSKPBqYBfwyqlWiIh9\ngI3AOcC2TgqVJEmS2gqvEbEvsBa4uj4vpZSAzwJHT7PqEHBHSumSToqUJEmSoP0xryuBBwG3N82/\nHTii1QoRcQzwR8CT2q6uSa3FNZd6e3vp7e3tdtOSJEmaobGxMcbGxibNa5XT5sJsXW0ggLTHzIgH\nA/8AnJpSuqvbnaxbt26PeUNDQwwPD3e7aUmSJM3Qhg0bWL9+fSn7bje87gTuAx7RNP9g9uyNBXgs\n8BjgUxH15fweAAAXdElEQVQRxbx9ACLi58ARKaUZj4HduHEj/U3XfbLXtbXly2FgIE8lSZJm02mn\nncaJJ544aV6tVmvZ0Tjb2gqvKaV7I2IEOA74JEARSo8D3tdilRrwhKZ5fwk8GDgDuKWd/ff39zPo\ndZ9mZGAAtmwpuwpJkrQYlTlss5NhAxcAlxUh9lry1Qd6gEsBIuJy4PsppbNSSj8HtjauHBE/Ip/n\n5Y+GSpIkqS1th9eU0keLa7qeSx4+8E3g2SmlHcUijwZ+MXslSpIkSVlHJ2yllC4ELpzivmP3su4f\ndbJPSZIkqZMfKZAkSZJKYXiVJElSZRheJUmSVBmGV0mSJFWG4XWR2roV1qzJU0mSpMXC8LpITUzk\n4DoxUXYlkiRJs8fwKkmSpMowvEqSJKkyDK+SJEmqDMOrJEmSKsPwKkmSpMowvEqSJKkyDK+LVG8v\nDA3lqSRJ0mKxrOwCNDd6e2F4uOwqJEmSZpc9r5IkSaoMw6skSZIqw/AqSZKkyjC8SpIkqTIMr5Ik\nSaoMw6skSZIqw/C6SI2Pw5YteSpJkrRYeJ3XRapWg7VrYWQEBgfLrkazbdeuPN20qdw6FpparewK\nFh/bWmu2Nak8hlepgkZH8/TUU8utY6E68MCyK1g8bGvTs61J88/wKlXQSSflaV8f9PSUW0utBuvW\nwcaN0N9fbi2Qw8Tq1WVXsXjY1qZmW5PKYXiVKmjlSjjllLKrmKy/3yEqi5FtTdJC4wlbkiRJqgzD\nqyRJkirD8CpJkqTKMLxKkiSpMjxha5Hq74fNm2HVqrIrkSRJmj2G10VqxQpYs6bsKrQULF8OAwN5\nKs0l25okMLxK6tLAQP4pYmmu2dYkgWNeJUmSVCGGV0mSJFWG4VWSJEmVYXiVJElSZRheJUmSVBmG\n10VqbAyGh/NUkiRpsTC8LlJjY7B+veFVkiQtLoZXSV3ZujX/IMbWrWVXosXOtiYJDK+SujQxkcPE\nxETZlWixs61JAsOrJEmSKsTwKkmSpMowvEqSJKkyDK+SJEmqDMPrIrV8OQwM5KkkSdJisazsAjQ3\nBgZgy5ayq5AkSZpd9rxK6kpvLwwN5ak0l2xrksCeV0ld6u3NP0UszTXbmiSw51WSJEkVYniVJElS\nZRheJUmSVBmGV0mSJFWG4VWSJEmVYXhdpLZuhTVr8lSSJGmxMLwuUhMTObhOTJRdiRa78fH8gxjj\n42VXosXOtiYJDK+SulSrwZFH5qk0l2xrksAfKViQdu3axejoaFfbqL+5z9abfF9fHz09PbOzMUmS\npA4ZXheg0dFR1q5dOyvbWrduVjbDyMgIg4ODs7MxSZKkDhleF6C+vj5GRkbKLmOSvr6+skuQJEky\nvC5EPT099nJKkiS14AlbkiRJqgzDqyRJkirD8CpJkqTKcMyrpK7098PmzbBqVdmVaLGzrUkCw6uk\nLq1YkX+KWJprtjVJ4LABSZIkVYjhVZIkSZVheJUkSVJlGF4lSZJUGYZXSZIkVYbhVZIkSZVheJXU\nlbExGB7OU2ku2dYkgeFVUpfGxmD9egOF5p5tTRJ0GF4j4rURsS0ixiPiqxHxlGmWPSUivhARdxZ/\n/zXd8pIkSdJU2g6vEXEy8C5gCDgKuB64MiJWTrHKM4CPAM8EngbcAlwVEb2dFCxJkqSlq5Oe1zOB\nDSmly1NKo8CrgV3AK1stnFJ6WUrpAyml/00p3QCcUuz3uE6LliRJ0tLUVniNiH2BtcDV9XkppQR8\nFjh6hps5ANgXuLOdfUuSJEnL2lx+JfAg4Pam+bcDR8xwG+cDt5IDb1tqtdoe83p7e+ntdQSCJEnS\nfBkbG2Os6ezJVjltLrQbXqcSQNrrQhF/Dvw+8IyU0s/b3cm6dev2mDc0NMTw8HC7m5IkSVKHNmzY\nwPr160vZd7vhdSdwH/CIpvkHs2dv7CQR8UbgTcBxKaUtbe4XgI0bN9Lf3z9pnr2uUrmWL4eBgTyV\n5pJtTVo4TjvtNE488cRJ82q1WsuOxtnWVnhNKd0bESPkk60+CRARUdx+31TrRcT/Bc4Cjk8pXddp\nsf39/QwODna6uqQ5MDAAWzr6OCq1x7YmLRxlDtvsZNjABcBlRYi9lnz1gR7gUoCIuBz4fkrprOL2\nm4BzgRcDN0dEvdf2pymle7orX5IkSUtJ2+E1pfTR4pqu55KHD3wTeHZKaUexyKOBXzSs8hry1QU+\n1rSp9cU2JEmSpBnp6IStlNKFwIVT3Hds0+3DO9mHJEmS1Kyjn4eVJEmSymB4lSRJUmUYXiVJklQZ\nhldJkiRVhuFVUle2boU1a/JUmku2NUlgeJXUpYmJHCYmJsquRIudbU0SGF4lSZJUIR1d51WSpHbs\n2rWL0dHRrrZRq02edquvr4+enp7Z2ZikeWN4lSTNudHRUdauXTsr21q3blY2w8jICIODg7OzMUnz\nxvAqSZpzfX19jIyMlF3GJH19fWWXIKkDhldJ0pzr6emxl1PSrPCELUmSJFWG4VVSV3p7YWgoTyVJ\nmmsOG5DUld5eGB4uuwpJ0lJhz6skSZIqw/AqSZKkyjC8SpIkqTIMr5IkSaoMw6skSZIqw/AqSZKk\nyjC8SurK+Dhs2ZKnkiTNNcOrpK7UanDkkXkqSdJcM7xKkiSpMgyvkiRJqgzDqyRJkirD8CpJkqTK\nMLxKkiSpMgyvkiRJqgzDqyRJkipjWdkFSKq2/n7YvBlWrSq7EknSUmB4ldSVFStgzZqyq5AkLRUO\nG5AkSVJlGF4lSZJUGYZXSZIkVYbhVZIkSZVheJUkSVJlGF4lSZJUGYZXSV0ZG4Ph4TyVJGmuGV4l\ndWVsDNavN7xKkuaH4VWSJEmVYXiVJElSZRheJUmSVBmGV0mSJFWG4VWSJEmVYXiVJElSZRheJXVl\n+XIYGMhTSZLm2rKyC5BUbQMDsGVL2VVIkpYKe14lSZJUGYZXSZIkVYbhVZIkSZVheJUkSVJlGF4l\nSZJUGYZXSZIkVYbhVZIkSZVheJXUla1bYc2aPJUkaa4ZXiV1ZWIiB9eJibIrkSQtBYZXSZIkVYbh\nVZIkSZVheJUkSVJlGF4lSZJUGYZXSZIkVYbhVZIkSZVheJXUld5eGBrKU0mS5tqysguQVG29vTA8\nXHYVkqSlwp5XSZIkVYbhVZIkSZVheJUkSVJlGF4lSZJUGYZXSZIkVYbhVZIkSZVheJXUlfFx2LIl\nTyVJmmuGV0ldqdXgyCPzVJKkuWZ4lSRJUmUYXhepsbExhoeHGRsbK7sULXI7dowBw8VUmju+r2m+\n2NYWto7Ca0S8NiK2RcR4RHw1Ip6yl+V/LyJqxfLXR8RzOytXMzU2Nsb69et94WnO7dw5BqwvptLc\n8X1N88W2trC1HV4j4mTgXcAQcBRwPXBlRKycYvmjgY8AFwO/Cnwc+HhEDHRatCRJkpamTnpezwQ2\npJQuTymNAq8GdgGvnGL51wH/mVK6IKX07ZTSELAJ+JOOKpYkSdKS1VZ4jYh9gbXA1fV5KaUEfBY4\neorVji7ub3TlNMtLkiRJLS1rc/mVwIOA25vm3w4cMcU6h0yx/CFt7Hc5wBVXXEGt6Xo8K1eu5KCD\nDmpjU0tD/Xlqfr6kRuPj42zfvr2rbXz5y9uK6RVA9+3tsMMOY8WKFV1vR4uP72uaL7a1vduxYwc7\nd+6cNG/btm31fy6fy31H7jid4cIRvcCtwNEppa81zH878PSU0q+3WOdnwB+mlP65Yd7pwFtSSo+c\n4X5fAnx4xoVKkiSpLC9NKX1krjbebs/rTuA+4BFN8w9mz97VutvaXL6VK4HXksfW/rxFTTv3WEOS\nJElzZWXx12g/oIec2+ZMW+E1pXRvRIwAxwGfBIiIKG6/b4rVvtLi/t8q5s90vz8ELmynVkmSJC0+\n7fa8AlwAXFaE2GvJVx/oAS4FiIjLge+nlM4qln8v8N8R8QbgP4AXk0/6OrW70iVJkrTUtB1eU0of\nLa7pei55OMA3gWenlHYUizwa+EXD8l+JiBcDf1n83Qj8Tkppa7fFS5IkaWlp64QtSZIkqUwd/Tys\nJEmSVAbDqyRJkirD8CpJkqTKMLxKkiSpMgyvkiRJqgzDa4OIeHhE3B4Rh5ZdS7ciYigirmu4fUlE\n/Nsc73NbRJwxy9t8TuPjWCxsa13vcy7a2qsj4hOzuc2FwLbW9T4XVFvzeHa9z1k/nkvFXByfTl8L\nhtfJ/gL4eErpZoCIeExE3B8Rt0XEAY0LRsR1EXFOKVXOXON10M4AXlFSHVOKiPdExDciYiIiNjXf\nn1L6DPDziHhpCeXNJdvaPIqIJ0bERyLi5ojYFRFbWvwH9kFgbUQcU0aNc8i2No8i4mER8Z8RcWvx\nvnZzRLw/Ig5sWKybtubxnEcNz2/9b2dEXBkRv1p2bXsTEc8oav6lNterP+YnNt01F8eno9eC4bUQ\nESuAPwL+vsXdBwJvnOX97VP8tO68SCndnVL6yXztr00fBP5pmvsvA143T7XMOdtaKdYCdwAvBQbI\nP5jytog4vb5ASule4CPY1rrZn20N7gc+DjwfWA28HHgWcFF9gU7bmsezNAk4FjgEOB54MHDFVKEw\nIvadx9qmE+Ta2z2G9fUmmYvj0+lrwfC62/OAn6WUvt7ivvcDbyh+WayliHhoRFweEXdGxD0RcUVE\nPK7h/pdHxF0R8fyI2AJMAL9SdMP/e0S8ufjkfFdEvCUiHhQRb4+IH0bELRHxiqb9/XVEfLvY13cj\n4tyIeNA09T3Q3d/wqeq+pk+Un2tY/ukR8YWil+p7EfHeiOhpuP+giPhUcf93I+Ile3+K95RSen1K\n6SJg2zSLfQp4ckQc3sk+FiDb2jy3tZTSJUVb+2JKaXtK6SPAJcALmhb9FPD8iNi/3X0sULa1+W9r\nP0opbUgpbUop3ZJS+jxwIfAbTYt20tY8niX8P0UOc3emlO5IKW0if0g4BPi1Yj/biufjsoj4EbCh\nmP/oiPjn4vnaGREfj4jHNNT3zIj4WkT8tFjmixHxKw33/05EjETEeER8JyLOaXz+iufjVRHxb8Vz\nfENEPL/+/AH15+qu4nn8UHHfs4t91ev6VESsani8NxXTbzY+5xFxaTQMG4iI/SLifZGHsYwX23xy\nw/31nt9jI+LrRY1fjojVTc9v268Fw+tuTwe+0WJ+Av4R+A4wNM36lwGDwG8DTyM39iuaXqg9wJuA\nVwFrgPpP6h4L9JLf3M4k//Tup4E7gacCHwA2RMQjG7b1E+APgX5yV/4pxbozcQv5hddbTI8Cfgj8\nN0BEPBb4T+BfgCOBk4FjyG+OjY/3UcAzgBcBpwMHzXD/bUkp3QLczp5v/lVlW1sYbe0h5Mfd6BvA\nvhT/KS0CtrWS21rx+F4AXNN0VydtzeO5MN47Jorpfg3z/gz4ZlHneRGxDLgS+HFR1zHA3cBnImJZ\n8Zz/O/D5ov6nAX9H0eMZEU8v6n830AecRu7FP6uplnPI31w+AbgC+HBEPJT8/L2wWGY1+Xms924e\nALyL/I3UscB9RS11TyW3jXpvc/1DfnNv7DuA3wVeVjzu7wBXFvtv9FbycV8L/AL4UNP97b8WUkr+\n5Z/I/Xfg4qZ5jyF/BfRE8lcFPwMOL+67Djin+PfqYrlfa1j3YcA9wAuL2y8nN5Ajm/ZxCflTTjTM\nqwHXNNzeh9zof3+a+v8MuLbh9hCwqWk//9Zivf2Br5LHUNXnXQxc1LTc04tGtx/w+OLxDjbcf0Qx\n74wOn/9J9ba4fwQ4u+x2YlurflsrtvHrxXN8XIv7fgi8rOx2YlurdlsjfxV6D7uHEezXbVvzeM7/\n8Wx8fovbDwX+jRxKDyrmbQM+1rTeS4GtTfP2K57vZwG/XDzXvzHFfv8L+H8ttnlrw+37geGG2z3F\nNo8vbj+juP1Le3mMBxXbGmj1mFsdn2JfPwNObrh/GfB94M+a9v/MhmWeW8zbr2nbbb0W7HndbQW7\nP03tIaV0FfAl4LwWd/cB9wLXNix/J/Bt8ifOup+nlDa3WH9LKo5e4XbgWw3bup98YA+uz4uIkyPi\nSxExFhF3kz/ZdHL26YfIn8IaT4h6EvCKiLi7/gd8prjvcIrHm/LXJ/Uavw38qIP9z9Q4+cWyGNjW\ndpv3thYRR5LDxHBK6eoWi9jWMttad23t9eTeqN8BHkvuQWvWblvzeO4238fzf4p93Enu5fz9lNKO\nhvtHmpZ/ErC6qb4fkoP4Y1NKd5F7Vq+KiE9GxBkRcUjT+uc0rX8x8IiIWN6wXOMx2EX+AHEw04iI\nx0U+gfW7EfFj8geTRHvH5rHksPo/Dfv/Bbl99Tct+62Gf48V0+Ya23otLJtxmYvfTvInoen8ObkB\nv7Np/lSDoZsHPY9Psdy9TbfTFPP2AYiIo4GNwNnAVeRPgC8G3jBd8XsUF/EW8if1p6SU7mm468Hk\nMTvvZc/HdjP5TWG+PYzdX19VnW1tt3ltaxExAHwW+EBK6W1TLGZby2xrXUgp3UE+SfCGiLgT+GJE\nnJtSur1hsXbbmsdzt/n+f+r3yb3NP0ytT1q6p+n2g8lfh7+kRX07AFJKr4yI9wLPIQ97eGtEPCul\ndG2x/jnkXt5JUkqNH2CmPAbT+DS5t/gU4AfF8luYPAxib+qPKbWY3zyvscb6fc01tvVaMLzudh2T\nP9XVPXAQUkpfLwYr/zWTD85W8nP5a+SvNoiIh5O/ttg6B7UeDWxPKf11fUZEHNbOBiLihcBbgOek\nlLY33b0JWJNS2jbFujVgWUSsTSmNFPOOIH+dMuuKQdyPJR+jxcC2ttu8tbWIWANcDVySUmp5+aDi\npIX9sa2BbW0239ceRH5uHzghpcO25vHcbT6PZwK+P9W+prCJHHh3pJR+OuWGU7oeuB44PyL+hxx2\nry3WPyKldNNU687Az4tp40leDyMf81ellL5czHv63tZr4TvkUPp0iqsFFeN8nwxc0E6RnbwWHDaw\n25XAmoh4SNP85k9MbyEPYj6iPiOl9B3gk8DFEXFMRDyJ/InzlmL+bLsROLT4SmZV5OtVnjTTlYuv\nTS8DzgdqEfGI4q/+if584OjI1yZ8UvEVw+9ExPsBUko3kJ+vv4uIp0bEWvLXGbvafSAR8djI18vr\nBVYU+3tS8SKoO5r8VdlX2t3+AmVbm+e2VgTXz5N7gN7TUEfzmdm/AdzU5n9SC5ltbf7b2nMj4hUR\nsSbyGfPPI18m60upuDZroZO25vEs4f8p2r/UFMCHyT3ln4h8VYTDIl9d4L0R8cji9l9FxNMi4tCI\nOJ48Lrn+QeJc4A8jX2FgICL6iuey1ZCQqXyPHLyfHxErI18H+C7y8IU/Lv7/PZZ88lbjB507yD3w\nz4mIg6PFJcGKIQoXAe+IfPWCAfIl3FYw+YSsVs9d87y2XwuG10Ixxqf+SWnSXU3L3Ug+MMublnsF\neczLp4Avkwc7Py+ldF8n5Uw3L6X0KfL4qfeTP6k8jdzQZ2otuYG9hfyVQf3vX4vtf4s80Ho18AXy\n8zIM3NqwjVcUt68BPkb++uaOxp1EvqzG55je35Oft1PJnwY3FX+NZ6z+AfDhpq9KKsu2VkpbexHw\ncHKvVWMd1zYt92LyGb+Lgm2tlLY2Tn4/+yI5iLyL3dd9bdR2W/N4lvb/VKvHOu39KaVx4DfJQxj+\nldwWLib3MP6EHKL7irq+Tb5aw/tTSn9XrH8V+aoQv0V+n/oKeRz19r3U1XgMfkA+Ke6vgduK7Sfy\n/6lryWNR30XT9YGL9vCn5Csc3Epuv638efHYLicPkVhFPlnsxzOtsdD2ayEmj79e2iLiBODtKaUj\ny65lMYiIa4CrU0rtfFJs3sbDgVHgySml781WbWWzrc2uWWpr/eTrIj4+pXT3bNVWNtva7Cq7rXk8\nZ9dsHE91rtPXgmNeG6SUrii60R+VUrp172toKsXXDKuAE7rc1GHA6YspuIJtbTbNYlt7JPCHiym4\ngm1tNi2EtubxnD2zeDzVuY5eC/a8SpIkqTIc8ypJkqTKMLxKkiSpMgyvkiRJqgzDqyRJkirD8CpJ\nkqTKMLxKkiSpMgyvkiRJqgzDqyRJkirD8CpJkqTK+P/eFZeH0/aKEwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7864759630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.pivot_table(exo_DS2,\n",
    "              index = [\"Eleve\"],\n",
    "               values = [\"Normalized\"],\n",
    "               columns = [\"Exercice\"]\n",
    "              ).plot.box(title=\"Diagramme boite par exercice\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 8,
        "height": 4,
        "hidden": false,
        "row": 9,
        "width": 4
       },
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "source": [
    "### Questions mieux/moins réussites"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "hidden": true
       },
       "report_default": {
        "hidden": true
       }
      }
     }
    }
   },
   "outputs": [],
   "source": [
    "def question_uniq_formater(row):\n",
    "    ans = \"\"\n",
    "    try:\n",
    "        int(row['Exercice'])\n",
    "    except ValueError:\n",
    "        ans += str(row[\"Exercice\"])\n",
    "    else:\n",
    "        ans += \"Ex\"+str(row[\"Exercice\"])\n",
    "        \n",
    "    try:\n",
    "        int(row[\"Question\"])\n",
    "    except ValueError:\n",
    "        if not pd.isnull(row[\"Question\"]):\n",
    "            ans += str(row[\"Question\"])\n",
    "    else:\n",
    "        ans += \"Qu\"+str(row[\"Question\"])\n",
    "    \n",
    "    if not pd.isnull(row[\"Commentaire\"]):\n",
    "        ans += \" ({})\".format(row[\"Commentaire\"])\n",
    "    return ans\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "hidden": true
       },
       "report_default": {
        "hidden": true
       }
      }
     }
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#quest_DS2[\"Uniq_quest\"] = quest_DS2.apply(question_uniq_formater, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "hidden": true
       },
       "report_default": {
        "hidden": true
       }
      }
     }
    }
   },
   "outputs": [],
   "source": [
    "#quest_DS2[\"Normalized\"] = quest_DS2[\"Mark\"] / quest_DS2[\"Bareme\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "hidden": true
       },
       "report_default": {
        "hidden": true
       }
      }
     }
    }
   },
   "outputs": [],
   "source": [
    "quest = quest_DS2.groupby([\"Uniq_quest\"]).mean()[\"Normalized\"].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "hidden": true
       },
       "report_default": {
        "hidden": true
       }
      }
     }
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/lafrite/.virtualenvs/enseignement/lib/python3.5/site-packages/ipykernel/__main__.py:1: FutureWarning: sort is deprecated, use sort_values(inplace=True) for for INPLACE sorting\n",
      "  if __name__ == '__main__':\n"
     ]
    }
   ],
   "source": [
    "quest.sort()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 8,
        "height": 9,
        "hidden": false,
        "row": 13,
        "width": 4
       },
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Uniq_quest\n",
       "Exo3 Qu3 (Réduire l'expression)    0.027778\n",
       "Exo3 Qu2 (Créer des formules)      0.125000\n",
       "Exo1 Qu3 (Problème Fraction)       0.236111\n",
       "Exo1 Qu1 (Création Fractions)      0.388889\n",
       "Exo2  (Calculs)                    0.583333\n",
       "Exo2  (Communication)              0.597222\n",
       "Exo2  (Connaissance de Thalès)     0.611111\n",
       "Exo1 Qu2 (Calculs Fractions)       0.750000\n",
       "Exo3 Qu1 (Remplir le tableau)      0.750000\n",
       "Presentation                       0.802083\n",
       "Name: Normalized, dtype: float64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "quest"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 0,
        "height": 9,
        "hidden": false,
        "row": 48,
        "width": 12
       },
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "source": [
    "#### Exo 1\n",
    "Le calcul avec les fractions semble ok. \n",
    "Par contre le problème avec les fractions n'est pas du tout réussi. \n",
    "#### Exo 2\n",
    "Plutôt décevant. Aucune des 3 choses attendues ne ressort comme plus problématique que les autres.\n",
    "#### Exo 3\n",
    "Comme prévu, les questions sur les conjectures est très peu réussi.\n",
    "Par contre le tableau est relativement bien rempli."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "col": 4,
        "height": 4,
        "hidden": false,
        "row": 20,
        "width": 4
       },
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "source": [
    "### Élèves à surveiller par exercice"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {
        "hidden": true
       },
       "report_default": {
        "hidden": true
       }
      }
     }
    }
   },
   "outputs": [],
   "source": [
    "inquietant = exo_DS2[exo_DS2[\"Normalized\"] < 0.4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Bareme</th>\n",
       "      <th>Mark</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Exercice</th>\n",
       "      <th>Eleve</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">1</th>\n",
       "      <th>ABDALLAH Roukia</th>\n",
       "      <td>6</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AHAMADI Satti</th>\n",
       "      <td>6</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DJAMAL Hounaissati</th>\n",
       "      <td>6</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DJANFAR Houmadi</th>\n",
       "      <td>6</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"7\" valign=\"top\">2</th>\n",
       "      <th>ABDALLAH Nourayina</th>\n",
       "      <td>6</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AHAMED El-Fahad</th>\n",
       "      <td>6</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AHMED Nachmie</th>\n",
       "      <td>6</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DHOIMIR Hidayat</th>\n",
       "      <td>6</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DJANFAR Houmadi</th>\n",
       "      <td>6</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FAIZ Aoufi Youssouf</th>\n",
       "      <td>6</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IBRAHIM Rouiyati</th>\n",
       "      <td>6</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"10\" valign=\"top\">3</th>\n",
       "      <th>ABDALLAH Nourayina</th>\n",
       "      <td>6</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ABDALLAH Roukia</th>\n",
       "      <td>6</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AHAMADI Satti</th>\n",
       "      <td>6</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DARKAOUI Issouf</th>\n",
       "      <td>6</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DHOIMIR Hidayat</th>\n",
       "      <td>6</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DJAMAL Hounaissati</th>\n",
       "      <td>6</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DJANFAR Houmadi</th>\n",
       "      <td>6</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FAIZ Aoufi Youssouf</th>\n",
       "      <td>6</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MOADJO Hachimia</th>\n",
       "      <td>6</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MOHAMED Nadhir-Eddine</th>\n",
       "      <td>6</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">Presentation</th>\n",
       "      <th>DJANFAR Houmadi</th>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MOHAMED Abderemane</th>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAID Fatima</th>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    Bareme  Mark\n",
       "Exercice     Eleve                              \n",
       "1            ABDALLAH Roukia             6   2.0\n",
       "             AHAMADI Satti               6   1.5\n",
       "             DJAMAL Hounaissati          6   2.0\n",
       "             DJANFAR Houmadi             6   1.5\n",
       "2            ABDALLAH Nourayina          6   2.0\n",
       "             AHAMED El-Fahad             6   0.0\n",
       "             AHMED Nachmie               6   1.5\n",
       "             DHOIMIR Hidayat             6   1.5\n",
       "             DJANFAR Houmadi             6   0.0\n",
       "             FAIZ Aoufi Youssouf         6   2.0\n",
       "             IBRAHIM Rouiyati            6   2.0\n",
       "3            ABDALLAH Nourayina          6   2.0\n",
       "             ABDALLAH Roukia             6   2.0\n",
       "             AHAMADI Satti               6   2.0\n",
       "             DARKAOUI Issouf             6   1.0\n",
       "             DHOIMIR Hidayat             6   2.0\n",
       "             DJAMAL Hounaissati          6   1.0\n",
       "             DJANFAR Houmadi             6   1.0\n",
       "             FAIZ Aoufi Youssouf         6   2.0\n",
       "             MOADJO Hachimia             6   2.0\n",
       "             MOHAMED Nadhir-Eddine       6   1.0\n",
       "Presentation DJANFAR Houmadi             2   0.0\n",
       "             MOHAMED Abderemane          2   0.0\n",
       "             SAID Fatima                 2   0.0"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.pivot_table(inquietant,\n",
    "              index = [\"Exercice\", \"Eleve\"],\n",
    "              values = [\"Mark\", \"Bareme\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": true
       }
      }
     }
    }
   },
   "source": [
    "-------\n",
    "## DM2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": true
       }
      }
     }
    }
   },
   "outputs": [],
   "source": [
    "quest_DM2, exo_DM2, eval_DM2 = tools.select_eval(quest_pov, exo_pov, eval_pov, \"DM2\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": true,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": true
       }
      }
     }
    }
   },
   "outputs": [],
   "source": [
    "abs_pres = tools.get_present_absent(eval_DM2)\n",
    "absents = abs_pres[\"absents\"]\n",
    "presents = abs_pres[\"presents\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non rendus\n",
      "AHAMED El-Fahad\n",
      "DARKAOUI Issouf\n",
      "DJANFAR Houmadi\n",
      "IBRAHIM Hindou\n",
      "MOUSSA Faize\n",
      "SAID Ramiati\n",
      "SAÏD Latif\n"
     ]
    }
   ],
   "source": [
    "print(\"Non rendus\")\n",
    "for e in absents:\n",
    "    print(e)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": true
       }
      }
     }
    }
   },
   "outputs": [],
   "source": [
    "# On enlève les absents\n",
    "quest_DM2, exo_DM2, eval_DM2 = tools.keep_only_presents(quest_DM2, exo_DM2, eval_DM2, presents)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "source": [
    "### Vision globale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Devoir sur 13.0\n"
     ]
    }
   ],
   "source": [
    "print(\"Devoir sur {}\".format(eval_DM2[\"Bareme\"].iloc[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    21.000000\n",
       "mean      8.238095\n",
       "std       2.990063\n",
       "min       1.500000\n",
       "25%       7.000000\n",
       "50%       9.000000\n",
       "75%      10.500000\n",
       "max      12.000000\n",
       "Name: Mark, dtype: float64"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eval_DM2[\"Mark\"].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f7864760a20>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f78661f4be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "eval_DM2[\"Mark\"].hist(bins = 26, range = (0,13), figsize = (15,5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "source": [
    "### Diagramme par exercice"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/lafrite/.virtualenvs/enseignement/lib/python3.5/site-packages/numpy/lib/function_base.py:3403: RuntimeWarning: Invalid value encountered in median\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f786468ac88>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Vq1Zx+OGHd1vjoqjXYcMGOO88aCmzIz//+QQ//OHOrmr54Q93cOGF5/DKV57Hwx7WRTGF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\n/P8oSM1UpwjIEAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f78645db4a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.pivot_table(exo_DM2,\n",
    "              index = [\"Eleve\"],\n",
    "               values = [\"Normalized\"],\n",
    "               columns = [\"Exercice\"]\n",
    "              ).plot.box(title=\"Diagramme boite par exercice\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "source": [
    "### Questions moins/mieux réussites"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": true,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": true
       }
      }
     }
    }
   },
   "outputs": [],
   "source": [
    "quest = quest_DS2.groupby([\"Uniq_quest\"]).mean()[\"Normalized\"].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": true
       }
      }
     }
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/lafrite/.virtualenvs/enseignement/lib/python3.5/site-packages/ipykernel/__main__.py:1: FutureWarning: sort is deprecated, use sort_values(inplace=True) for for INPLACE sorting\n",
      "  if __name__ == '__main__':\n"
     ]
    }
   ],
   "source": [
    "quest.sort()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false,
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Uniq_quest\n",
       "Exo3 Qu3 (Réduire l'expression)    0.027778\n",
       "Exo3 Qu2 (Créer des formules)      0.125000\n",
       "Exo1 Qu3 (Problème Fraction)       0.236111\n",
       "Exo1 Qu1 (Création Fractions)      0.388889\n",
       "Exo2  (Calculs)                    0.583333\n",
       "Exo2  (Communication)              0.597222\n",
       "Exo2  (Connaissance de Thalès)     0.611111\n",
       "Exo1 Qu2 (Calculs Fractions)       0.750000\n",
       "Exo3 Qu1 (Remplir le tableau)      0.750000\n",
       "Presentation                       0.802083\n",
       "Name: Normalized, dtype: float64"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "quest"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "source": [
    "#### Exo 1 (calculs avec des fractions)\n",
    "C'est convenable même si l'addition de fraction est à retravailler.\n",
    "\n",
    "#### Exo 2 (exercice technique avec Thalès)\n",
    "La rédaction commence à rentrer mais le tableur n'est pas assez souvent bien fait.\n",
    "\n",
    "#### Exo 3 (Probabilité)\n",
    "Trop de raté quand il s'agit de calculer un probabilité."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "extensions": {
     "jupyter_dashboards": {
      "version": 1,
      "views": {
       "grid_default": {},
       "report_default": {
        "hidden": false
       }
      }
     }
    }
   },
   "source": [
    "### ÉLèves à surveiller"
   ]
  },
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   "source": [
    "inquietant = exo_DM2[exo_DM2[\"Normalized\"] < 0.4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
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   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Bareme</th>\n",
       "      <th>Mark</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Exercice</th>\n",
       "      <th>Eleve</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <th>FAIZ Aoufi Youssouf</th>\n",
       "      <td>4.5</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">2</th>\n",
       "      <th>DHOIMIR Hidayat</th>\n",
       "      <td>4.5</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FAIZ Aoufi Youssouf</th>\n",
       "      <td>4.5</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MOADJO Hachimia</th>\n",
       "      <td>4.5</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MOHAMED Abderemane</th>\n",
       "      <td>4.5</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"8\" valign=\"top\">3</th>\n",
       "      <th>ABDALLAH Roukia</th>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AHAMADI Satti</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ALI ABDALLAH Raphael</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DHOIMIR Hidayat</th>\n",
       "      <td>4.0</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FAIZ Aoufi Youssouf</th>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HAMZA El-Hadji</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MOADJO Hachimia</th>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MOHAMED Nadhir-Eddine</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                Bareme  Mark\n",
       "Exercice Eleve                              \n",
       "1        FAIZ Aoufi Youssouf       4.5   1.0\n",
       "2        DHOIMIR Hidayat           4.5   0.5\n",
       "         FAIZ Aoufi Youssouf       4.5   0.5\n",
       "         MOADJO Hachimia           4.5   0.0\n",
       "         MOHAMED Abderemane        4.5   0.0\n",
       "3        ABDALLAH Roukia           4.0   0.0\n",
       "         AHAMADI Satti             4.0   1.0\n",
       "         ALI ABDALLAH Raphael      4.0   1.0\n",
       "         DHOIMIR Hidayat           4.0   0.5\n",
       "         FAIZ Aoufi Youssouf       4.0   0.0\n",
       "         HAMZA El-Hadji            4.0   1.5\n",
       "         MOADJO Hachimia           4.0   0.0\n",
       "         MOHAMED Nadhir-Eddine     4.0   1.5"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.pivot_table(inquietant,\n",
    "              index = [\"Exercice\", \"Eleve\"],\n",
    "              values = [\"Mark\", \"Bareme\"])"
   ]
  },
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