setup Jupyter for Python but with R analysis

module2/exo4/Untitled.ipynb

+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

module2/exo4/Untitled1.ipynb

+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

module2/exo4/Untitled2.ipynb

+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

module2/exo4/exercice.ipynb

@@ -9,6 +9,67 @@
     "I've tracked my sleep for a few days, about its quality and length, to have statistics and analyze this data."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%load_ext rpy2.ipython"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "         Date    BeginningTime      Length     AwakeningReason\n",
+       " 2023-10-18:2   1:00:00 :1     1:42:00 :1   AlarmClock :3     \n",
+       " 2023-10-19:2   1:10:00 :1     17:10:00:1   AlarmMissed:1     \n",
+       " 2023-10-20:1   1:28:00 :1     5:02:00 :1   Natural    :1     \n",
+       "                16:15:00:1     6:20:00 :1                     \n",
+       "                18:45:00:1     8:00:00 :1                     \n",
+       "          Feeling \n",
+       " NotVeryRested:1  \n",
+       " QuiteRested  :1  \n",
+       " Rested       :3  \n",
+       "                  \n",
+       "                  \n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%R\n",
+    "data = read.csv('data.csv') # Read data\n",
+    "summary(data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[1] NA\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%R\n",
+    "mean(data$Length)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,