{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data analysis from my journal\n",
    "\n",
    "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,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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