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  {
   "source": [
    "# Investigating the historical running data to evaluate my performance (Session summaries)\n",
    "\n",
    "Many runners use third-party apps to track running activities. These apps and its companion website provide many visual charts with analytical metrics to help runners review their running performances to set up new training plans or make adjustments. In this notebook, we will extract this running data and analyse it locally using runpandas. We also take the opportunity to illustrate the runpandas methods for summarizing the historical workouts and get some valuable insights."
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "## Looking at the data\n"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "The example data set used in this tutorial contains 68 sessions of a single female runner from the period of 2020 until 2021."
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "The code chunk below loads the data using the method `runpandas.read_directory_aggregate`, which allows the user to read all the tracking files of a support format in a directory and combine them in a data frame split by sessions based on the timestamps of each activity.  It means that for each workout file will be stored in separate lines in the dataframe."
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import runpandas\n",
    "session = runpandas.read_dir_aggregate(dirname='session/')"
   ]
  },
  {
   "source": [
    "In pandas we use the ``pandas.MultiIndex`` which alows the dataframe have multiple columns as a row identifier, while having each index column related to another through a parent/child relationship. In our scenario we have the start time from each activity as the first index level and the timestamps from the activity as the second index level."
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "                                              alt     hr        lon       lat\n",
       "start                   time                                                 \n",
       "2020-08-30 09:08:51.012 00:00:00              NaN    NaN -34.893609 -8.045055\n",
       "                        00:00:01.091000       NaN    NaN -34.893624 -8.045054\n",
       "                        00:00:02.091000       NaN    NaN -34.893641 -8.045061\n",
       "                        00:00:03.098000       NaN    NaN -34.893655 -8.045063\n",
       "                        00:00:04.098000       NaN    NaN -34.893655 -8.045065\n",
       "...                                           ...    ...        ...       ...\n",
       "2021-07-04 11:23:19.418 00:52:39.582000  0.050001  189.0 -34.894534 -8.046602\n",
       "                        00:52:43.582000       NaN    NaN -34.894465 -8.046533\n",
       "                        00:52:44.582000       NaN    NaN -34.894443 -8.046515\n",
       "                        00:52:45.582000       NaN    NaN -34.894429 -8.046494\n",
       "                        00:52:49.582000       NaN  190.0 -34.894395 -8.046398\n",
       "\n",
       "[48794 rows x 4 columns]"
      ],
      "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></th>\n      <th>alt</th>\n      <th>hr</th>\n      <th>lon</th>\n      <th>lat</th>\n    </tr>\n    <tr>\n      <th>start</th>\n      <th>time</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th rowspan=\"5\" valign=\"top\">2020-08-30 09:08:51.012</th>\n      <th>00:00:00</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-34.893609</td>\n      <td>-8.045055</td>\n    </tr>\n    <tr>\n      <th>00:00:01.091000</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-34.893624</td>\n      <td>-8.045054</td>\n    </tr>\n    <tr>\n      <th>00:00:02.091000</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-34.893641</td>\n      <td>-8.045061</td>\n    </tr>\n    <tr>\n      <th>00:00:03.098000</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-34.893655</td>\n      <td>-8.045063</td>\n    </tr>\n    <tr>\n      <th>00:00:04.098000</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-34.893655</td>\n      <td>-8.045065</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th rowspan=\"5\" valign=\"top\">2021-07-04 11:23:19.418</th>\n      <th>00:52:39.582000</th>\n      <td>0.050001</td>\n      <td>189.0</td>\n      <td>-34.894534</td>\n      <td>-8.046602</td>\n    </tr>\n    <tr>\n      <th>00:52:43.582000</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-34.894465</td>\n      <td>-8.046533</td>\n    </tr>\n    <tr>\n      <th>00:52:44.582000</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-34.894443</td>\n      <td>-8.046515</td>\n    </tr>\n    <tr>\n      <th>00:52:45.582000</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-34.894429</td>\n      <td>-8.046494</td>\n    </tr>\n    <tr>\n      <th>00:52:49.582000</th>\n      <td>NaN</td>\n      <td>190.0</td>\n      <td>-34.894395</td>\n      <td>-8.046398</td>\n    </tr>\n  </tbody>\n</table>\n<p>48794 rows × 4 columns</p>\n</div>"
     },
     "metadata": {},
     "execution_count": 4
    }
   ],
   "source": [
    "session"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "MultiIndex([('2020-08-30 09:08:51.012000',        '00:00:00'),\n",
       "            ('2020-08-30 09:08:51.012000', '00:00:01.091000'),\n",
       "            ('2020-08-30 09:08:51.012000', '00:00:02.091000'),\n",
       "            ('2020-08-30 09:08:51.012000', '00:00:03.098000'),\n",
       "            ('2020-08-30 09:08:51.012000', '00:00:04.098000'),\n",
       "            ('2020-08-30 09:08:51.012000', '00:00:05.096000'),\n",
       "            ('2020-08-30 09:08:51.012000', '00:00:06.096000'),\n",
       "            ('2020-08-30 09:08:51.012000', '00:00:07.097000'),\n",
       "            ('2020-08-30 09:08:51.012000', '00:00:08.097000'),\n",
       "            ('2020-08-30 09:08:51.012000', '00:00:09.102000'),\n",
       "            ...\n",
       "            ('2021-07-04 11:23:19.418000', '00:52:18.584000'),\n",
       "            ('2021-07-04 11:23:19.418000', '00:52:22.584000'),\n",
       "            ('2021-07-04 11:23:19.418000', '00:52:26.582000'),\n",
       "            ('2021-07-04 11:23:19.418000', '00:52:30.582000'),\n",
       "            ('2021-07-04 11:23:19.418000', '00:52:35.582000'),\n",
       "            ('2021-07-04 11:23:19.418000', '00:52:39.582000'),\n",
       "            ('2021-07-04 11:23:19.418000', '00:52:43.582000'),\n",
       "            ('2021-07-04 11:23:19.418000', '00:52:44.582000'),\n",
       "            ('2021-07-04 11:23:19.418000', '00:52:45.582000'),\n",
       "            ('2021-07-04 11:23:19.418000', '00:52:49.582000')],\n",
       "           names=['start', 'time'], length=48794)"
      ]
     },
     "metadata": {},
     "execution_count": 5
    }
   ],
   "source": [
    "session.index  #MultiIndex (start, timestamp)"
   ]
  },
  {
   "source": [
    "Now let's see how many activities there are available for analysis. For this question, we also have an acessor ``runpandas.types.acessors.session._SessionAcessor`` that holds several methods for computing the basic running metrics across all the activities and some summary statistics."
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Total Activities: 68\n"
     ]
    }
   ],
   "source": [
    "#count the number of activities in the session\n",
    "print ('Total Activities:', session.session.count())"
   ]
  },
  {
   "source": [
    "We can compute the main running metrics (speed, pace, moving, etc) using the session methods available as like the ones available in the ``runpandas.types.metrics.MetricsAcessor`` . By the way, those methods are called inside each metric method, but applying in each of activities separatedely."
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "                                              alt     hr        lon       lat  \\\n",
       "start                   time                                                    \n",
       "2020-08-30 09:08:51.012 00:00:00              NaN    NaN -34.893609 -8.045055   \n",
       "                        00:00:01.091000       NaN    NaN -34.893624 -8.045054   \n",
       "                        00:00:02.091000       NaN    NaN -34.893641 -8.045061   \n",
       "                        00:00:03.098000       NaN    NaN -34.893655 -8.045063   \n",
       "                        00:00:04.098000       NaN    NaN -34.893655 -8.045065   \n",
       "...                                           ...    ...        ...       ...   \n",
       "2021-07-04 11:23:19.418 00:52:39.582000  0.050001  189.0 -34.894534 -8.046602   \n",
       "                        00:52:43.582000       NaN    NaN -34.894465 -8.046533   \n",
       "                        00:52:44.582000       NaN    NaN -34.894443 -8.046515   \n",
       "                        00:52:45.582000       NaN    NaN -34.894429 -8.046494   \n",
       "                        00:52:49.582000       NaN  190.0 -34.894395 -8.046398   \n",
       "\n",
       "                                           distpos         dist  \n",
       "start                   time                                     \n",
       "2020-08-30 09:08:51.012 00:00:00               NaN          NaN  \n",
       "                        00:00:01.091000   1.690587     1.690587  \n",
       "                        00:00:02.091000   2.095596     3.786183  \n",
       "                        00:00:03.098000   1.594298     5.380481  \n",
       "                        00:00:04.098000   0.163334     5.543815  \n",
       "...                                            ...          ...  \n",
       "2021-07-04 11:23:19.418 00:52:39.582000  12.015437  8220.018885  \n",
       "                        00:52:43.582000  10.749779  8230.768664  \n",
       "                        00:52:44.582000   3.163638  8233.932302  \n",
       "                        00:52:45.582000   2.851535  8236.783837  \n",
       "                        00:52:49.582000  11.300740  8248.084577  \n",
       "\n",
       "[48794 rows x 6 columns]"
      ],
      "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></th>\n      <th>alt</th>\n      <th>hr</th>\n      <th>lon</th>\n      <th>lat</th>\n      <th>distpos</th>\n      <th>dist</th>\n    </tr>\n    <tr>\n      <th>start</th>\n      <th>time</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th rowspan=\"5\" valign=\"top\">2020-08-30 09:08:51.012</th>\n      <th>00:00:00</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-34.893609</td>\n      <td>-8.045055</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>00:00:01.091000</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-34.893624</td>\n      <td>-8.045054</td>\n      <td>1.690587</td>\n      <td>1.690587</td>\n    </tr>\n    <tr>\n      <th>00:00:02.091000</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-34.893641</td>\n      <td>-8.045061</td>\n      <td>2.095596</td>\n      <td>3.786183</td>\n    </tr>\n    <tr>\n      <th>00:00:03.098000</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-34.893655</td>\n      <td>-8.045063</td>\n      <td>1.594298</td>\n      <td>5.380481</td>\n    </tr>\n    <tr>\n      <th>00:00:04.098000</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-34.893655</td>\n      <td>-8.045065</td>\n      <td>0.163334</td>\n      <td>5.543815</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th rowspan=\"5\" valign=\"top\">2021-07-04 11:23:19.418</th>\n      <th>00:52:39.582000</th>\n      <td>0.050001</td>\n      <td>189.0</td>\n      <td>-34.894534</td>\n      <td>-8.046602</td>\n      <td>12.015437</td>\n      <td>8220.018885</td>\n    </tr>\n    <tr>\n      <th>00:52:43.582000</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-34.894465</td>\n      <td>-8.046533</td>\n      <td>10.749779</td>\n      <td>8230.768664</td>\n    </tr>\n    <tr>\n      <th>00:52:44.582000</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-34.894443</td>\n      <td>-8.046515</td>\n      <td>3.163638</td>\n      <td>8233.932302</td>\n    </tr>\n    <tr>\n      <th>00:52:45.582000</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-34.894429</td>\n      <td>-8.046494</td>\n      <td>2.851535</td>\n      <td>8236.783837</td>\n    </tr>\n    <tr>\n      <th>00:52:49.582000</th>\n      <td>NaN</td>\n      <td>190.0</td>\n      <td>-34.894395</td>\n      <td>-8.046398</td>\n      <td>11.300740</td>\n      <td>8248.084577</td>\n    </tr>\n  </tbody>\n</table>\n<p>48794 rows × 6 columns</p>\n</div>"
     },
     "metadata": {},
     "execution_count": 7
    }
   ],
   "source": [
    "#In this example we compute the distance and the distance per position across all workouts\n",
    "session = session.session.distance()\n",
    "session"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#comput the speed for each activity\n",
    "session = session.session.speed(from_distances=True)\n",
    "#compute the pace for each activity\n",
    "session = session.session.pace()\n",
    "#compute the inactivity periods for each activity\n",
    "session = session.session.only_moving()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "                                              alt     hr        lon       lat  \\\n",
       "start                   time                                                    \n",
       "2020-08-30 09:08:51.012 00:00:00              NaN    NaN -34.893609 -8.045055   \n",
       "                        00:00:01.091000       NaN    NaN -34.893624 -8.045054   \n",
       "                        00:00:02.091000       NaN    NaN -34.893641 -8.045061   \n",
       "                        00:00:03.098000       NaN    NaN -34.893655 -8.045063   \n",
       "                        00:00:04.098000       NaN    NaN -34.893655 -8.045065   \n",
       "...                                           ...    ...        ...       ...   \n",
       "2021-07-04 11:23:19.418 00:52:39.582000  0.050001  189.0 -34.894534 -8.046602   \n",
       "                        00:52:43.582000       NaN    NaN -34.894465 -8.046533   \n",
       "                        00:52:44.582000       NaN    NaN -34.894443 -8.046515   \n",
       "                        00:52:45.582000       NaN    NaN -34.894429 -8.046494   \n",
       "                        00:52:49.582000       NaN  190.0 -34.894395 -8.046398   \n",
       "\n",
       "                                           distpos         dist     speed  \\\n",
       "start                   time                                                \n",
       "2020-08-30 09:08:51.012 00:00:00               NaN          NaN       NaN   \n",
       "                        00:00:01.091000   1.690587     1.690587  1.549576   \n",
       "                        00:00:02.091000   2.095596     3.786183  2.095596   \n",
       "                        00:00:03.098000   1.594298     5.380481  1.583216   \n",
       "                        00:00:04.098000   0.163334     5.543815  0.163334   \n",
       "...                                            ...          ...       ...   \n",
       "2021-07-04 11:23:19.418 00:52:39.582000  12.015437  8220.018885  3.003859   \n",
       "                        00:52:43.582000  10.749779  8230.768664  2.687445   \n",
       "                        00:52:44.582000   3.163638  8233.932302  3.163638   \n",
       "                        00:52:45.582000   2.851535  8236.783837  2.851535   \n",
       "                        00:52:49.582000  11.300740  8248.084577  2.825185   \n",
       "\n",
       "                                                   pace moving  \n",
       "start                   time                                    \n",
       "2020-08-30 09:08:51.012 00:00:00                    NaT  False  \n",
       "                        00:00:01.091000 00:00:00.645337   True  \n",
       "                        00:00:02.091000 00:00:00.477191   True  \n",
       "                        00:00:03.098000 00:00:00.631625   True  \n",
       "                        00:00:04.098000 00:00:06.122433  False  \n",
       "...                                                 ...    ...  \n",
       "2021-07-04 11:23:19.418 00:52:39.582000 00:00:00.332905   True  \n",
       "                        00:52:43.582000 00:00:00.372100   True  \n",
       "                        00:52:44.582000 00:00:00.316091   True  \n",
       "                        00:52:45.582000 00:00:00.350688   True  \n",
       "                        00:52:49.582000 00:00:00.353959   True  \n",
       "\n",
       "[48794 rows x 9 columns]"
      ],
      "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></th>\n      <th>alt</th>\n      <th>hr</th>\n      <th>lon</th>\n      <th>lat</th>\n      <th>distpos</th>\n      <th>dist</th>\n      <th>speed</th>\n      <th>pace</th>\n      <th>moving</th>\n    </tr>\n    <tr>\n      <th>start</th>\n      <th>time</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th rowspan=\"5\" valign=\"top\">2020-08-30 09:08:51.012</th>\n      <th>00:00:00</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-34.893609</td>\n      <td>-8.045055</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaT</td>\n      <td>False</td>\n    </tr>\n    <tr>\n      <th>00:00:01.091000</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-34.893624</td>\n      <td>-8.045054</td>\n      <td>1.690587</td>\n      <td>1.690587</td>\n      <td>1.549576</td>\n      <td>00:00:00.645337</td>\n      <td>True</td>\n    </tr>\n    <tr>\n      <th>00:00:02.091000</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-34.893641</td>\n      <td>-8.045061</td>\n      <td>2.095596</td>\n      <td>3.786183</td>\n      <td>2.095596</td>\n      <td>00:00:00.477191</td>\n      <td>True</td>\n    </tr>\n    <tr>\n      <th>00:00:03.098000</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-34.893655</td>\n      <td>-8.045063</td>\n      <td>1.594298</td>\n      <td>5.380481</td>\n      <td>1.583216</td>\n      <td>00:00:00.631625</td>\n      <td>True</td>\n    </tr>\n    <tr>\n      <th>00:00:04.098000</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-34.893655</td>\n      <td>-8.045065</td>\n      <td>0.163334</td>\n      <td>5.543815</td>\n      <td>0.163334</td>\n      <td>00:00:06.122433</td>\n      <td>False</td>\n    </tr>\n    <tr>\n      <th>...</th>\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    </tr>\n    <tr>\n      <th rowspan=\"5\" valign=\"top\">2021-07-04 11:23:19.418</th>\n      <th>00:52:39.582000</th>\n      <td>0.050001</td>\n      <td>189.0</td>\n      <td>-34.894534</td>\n      <td>-8.046602</td>\n      <td>12.015437</td>\n      <td>8220.018885</td>\n      <td>3.003859</td>\n      <td>00:00:00.332905</td>\n      <td>True</td>\n    </tr>\n    <tr>\n      <th>00:52:43.582000</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-34.894465</td>\n      <td>-8.046533</td>\n      <td>10.749779</td>\n      <td>8230.768664</td>\n      <td>2.687445</td>\n      <td>00:00:00.372100</td>\n      <td>True</td>\n    </tr>\n    <tr>\n      <th>00:52:44.582000</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-34.894443</td>\n      <td>-8.046515</td>\n      <td>3.163638</td>\n      <td>8233.932302</td>\n      <td>3.163638</td>\n      <td>00:00:00.316091</td>\n      <td>True</td>\n    </tr>\n    <tr>\n      <th>00:52:45.582000</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>-34.894429</td>\n      <td>-8.046494</td>\n      <td>2.851535</td>\n      <td>8236.783837</td>\n      <td>2.851535</td>\n      <td>00:00:00.350688</td>\n      <td>True</td>\n    </tr>\n    <tr>\n      <th>00:52:49.582000</th>\n      <td>NaN</td>\n      <td>190.0</td>\n      <td>-34.894395</td>\n      <td>-8.046398</td>\n      <td>11.300740</td>\n      <td>8248.084577</td>\n      <td>2.825185</td>\n      <td>00:00:00.353959</td>\n      <td>True</td>\n    </tr>\n  </tbody>\n</table>\n<p>48794 rows × 9 columns</p>\n</div>"
     },
     "metadata": {},
     "execution_count": 9
    }
   ],
   "source": [
    "session"
   ]
  },
  {
   "source": [
    "After all the computation done, let's going to the next step: the exploration and get some descriptive statistics."
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "## Exploring the data"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "After the loading and metrics computation for all the activities, now let's look further the data and get the basic summaries about the sessions: time spent, total distance, mean speed and other insightful statistics in each running activity.  For this task, we may accomplish it by calling the method ``runpandas.types.session._SessionAcessor.summarize`` .  It will return a basic Dataframe including all the aggregated statistics per activity from the season frame. "
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "                            moving_time  mean_speed  max_speed mean_pace  \\\n",
       "start                                                                      \n",
       "2020-07-03 09:50:53.162 00:25:29.838000    2.642051   4.879655  00:06:18   \n",
       "2020-07-05 09:33:20.999 00:05:04.999000    2.227637   6.998021  00:07:28   \n",
       "2020-07-05 09:41:59.999        00:18:19    1.918949   6.563570  00:08:41   \n",
       "2020-07-13 09:13:58.718 00:40:21.281000    2.509703   8.520387  00:06:38   \n",
       "2020-07-17 09:33:02.308 00:32:07.691000    2.643278   8.365431  00:06:18   \n",
       "...                                 ...         ...        ...       ...   \n",
       "2021-06-13 09:22:30.985 01:32:33.018000    2.612872  23.583956  00:06:22   \n",
       "2021-06-20 09:16:55.163 00:59:44.512000    2.492640   6.065895  00:06:41   \n",
       "2021-06-23 09:37:44.000 00:26:49.001000    2.501796   5.641343  00:06:39   \n",
       "2021-06-27 09:50:08.664 00:31:42.336000    2.646493  32.734124  00:06:17   \n",
       "2021-07-04 11:23:19.418 00:47:47.583000    2.602263   4.212320  00:06:24   \n",
       "\n",
       "                        max_pace  mean_moving_speed mean_moving_pace  \\\n",
       "start                                                                  \n",
       "2020-07-03 09:50:53.162 00:03:24           2.665008         00:06:15   \n",
       "2020-07-05 09:33:20.999 00:02:22           3.072098         00:05:25   \n",
       "2020-07-05 09:41:59.999 00:02:32           2.729788         00:06:06   \n",
       "2020-07-13 09:13:58.718 00:01:57           2.573151         00:06:28   \n",
       "2020-07-17 09:33:02.308 00:01:59           2.643278         00:06:18   \n",
       "...                          ...                ...              ...   \n",
       "2021-06-13 09:22:30.985 00:00:42           2.810855         00:05:55   \n",
       "2021-06-20 09:16:55.163 00:02:44           2.749453         00:06:03   \n",
       "2021-06-23 09:37:44.000 00:02:57           2.568947         00:06:29   \n",
       "2021-06-27 09:50:08.664 00:00:30           2.661853         00:06:15   \n",
       "2021-07-04 11:23:19.418 00:03:57           2.856801         00:05:50   \n",
       "\n",
       "                         mean_cadence  max_cadence  mean_moving_cadence  \\\n",
       "start                                                                     \n",
       "2020-07-03 09:50:53.162           NaN          NaN                  NaN   \n",
       "2020-07-05 09:33:20.999           NaN          NaN                  NaN   \n",
       "2020-07-05 09:41:59.999           NaN          NaN                  NaN   \n",
       "2020-07-13 09:13:58.718           NaN          NaN                  NaN   \n",
       "2020-07-17 09:33:02.308           NaN          NaN                  NaN   \n",
       "...                               ...          ...                  ...   \n",
       "2021-06-13 09:22:30.985           NaN          NaN                  NaN   \n",
       "2021-06-20 09:16:55.163           NaN          NaN                  NaN   \n",
       "2021-06-23 09:37:44.000           NaN          NaN                  NaN   \n",
       "2021-06-27 09:50:08.664           NaN          NaN                  NaN   \n",
       "2021-07-04 11:23:19.418           NaN          NaN                  NaN   \n",
       "\n",
       "                         mean_heart_rate  max_heart_rate  \\\n",
       "start                                                      \n",
       "2020-07-03 09:50:53.162       178.819923           188.0   \n",
       "2020-07-05 09:33:20.999       168.345455           176.0   \n",
       "2020-07-05 09:41:59.999       173.894180           185.0   \n",
       "2020-07-13 09:13:58.718       170.808176           185.0   \n",
       "2020-07-17 09:33:02.308       176.436242           186.0   \n",
       "...                                  ...             ...   \n",
       "2021-06-13 09:22:30.985       169.340812           183.0   \n",
       "2021-06-20 09:16:55.163       170.539809           190.0   \n",
       "2021-06-23 09:37:44.000       156.864865           171.0   \n",
       "2021-06-27 09:50:08.664       166.642857           176.0   \n",
       "2021-07-04 11:23:19.418       177.821862           192.0   \n",
       "\n",
       "                         mean_moving_heart_rate  mean_temperature  \\\n",
       "start                                                               \n",
       "2020-07-03 09:50:53.162              178.872587               NaN   \n",
       "2020-07-05 09:33:20.999              168.900000               NaN   \n",
       "2020-07-05 09:41:59.999              174.577143               NaN   \n",
       "2020-07-13 09:13:58.718              170.795527               NaN   \n",
       "2020-07-17 09:33:02.308              176.436242               NaN   \n",
       "...                                         ...               ...   \n",
       "2021-06-13 09:22:30.985              169.655879               NaN   \n",
       "2021-06-20 09:16:55.163              171.231392               NaN   \n",
       "2021-06-23 09:37:44.000              156.957031               NaN   \n",
       "2021-06-27 09:50:08.664              166.721116               NaN   \n",
       "2021-07-04 11:23:19.418              177.956967               NaN   \n",
       "\n",
       "                         min_temperature  max_temperature  total_distance  \\\n",
       "start                                                                       \n",
       "2020-07-03 09:50:53.162              NaN              NaN     4089.467333   \n",
       "2020-07-05 09:33:20.999              NaN              NaN      980.162640   \n",
       "2020-07-05 09:41:59.999              NaN              NaN     3139.401118   \n",
       "2020-07-13 09:13:58.718              NaN              NaN     6282.491059   \n",
       "2020-07-17 09:33:02.308              NaN              NaN     5095.423045   \n",
       "...                                  ...              ...             ...   \n",
       "2021-06-13 09:22:30.985              NaN              NaN    15706.017295   \n",
       "2021-06-20 09:16:55.163              NaN              NaN     9965.168311   \n",
       "2021-06-23 09:37:44.000              NaN              NaN     4165.492241   \n",
       "2021-06-27 09:50:08.664              NaN              NaN     5074.217061   \n",
       "2021-07-04 11:23:19.418              NaN              NaN     8248.084577   \n",
       "\n",
       "                          ellapsed_time  \n",
       "start                                    \n",
       "2020-07-03 09:50:53.162 00:25:47.838000  \n",
       "2020-07-05 09:33:20.999 00:07:20.001000  \n",
       "2020-07-05 09:41:59.999        00:27:16  \n",
       "2020-07-13 09:13:58.718 00:41:43.281000  \n",
       "2020-07-17 09:33:02.308 00:32:07.691000  \n",
       "...                                 ...  \n",
       "2021-06-13 09:22:30.985 01:40:11.016000  \n",
       "2021-06-20 09:16:55.163 01:06:37.837000  \n",
       "2021-06-23 09:37:44.000 00:27:45.001000  \n",
       "2021-06-27 09:50:08.664 00:31:57.336000  \n",
       "2021-07-04 11:23:19.418 00:52:49.582000  \n",
       "\n",
       "[68 rows x 18 columns]"
      ],
      "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>moving_time</th>\n      <th>mean_speed</th>\n      <th>max_speed</th>\n      <th>mean_pace</th>\n      <th>max_pace</th>\n      <th>mean_moving_speed</th>\n      <th>mean_moving_pace</th>\n      <th>mean_cadence</th>\n      <th>max_cadence</th>\n      <th>mean_moving_cadence</th>\n      <th>mean_heart_rate</th>\n      <th>max_heart_rate</th>\n      <th>mean_moving_heart_rate</th>\n      <th>mean_temperature</th>\n      <th>min_temperature</th>\n      <th>max_temperature</th>\n      <th>total_distance</th>\n      <th>ellapsed_time</th>\n    </tr>\n    <tr>\n      <th>start</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2020-07-03 09:50:53.162</th>\n      <td>00:25:29.838000</td>\n      <td>2.642051</td>\n      <td>4.879655</td>\n      <td>00:06:18</td>\n      <td>00:03:24</td>\n      <td>2.665008</td>\n      <td>00:06:15</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>178.819923</td>\n      <td>188.0</td>\n      <td>178.872587</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>4089.467333</td>\n      <td>00:25:47.838000</td>\n    </tr>\n    <tr>\n      <th>2020-07-05 09:33:20.999</th>\n      <td>00:05:04.999000</td>\n      <td>2.227637</td>\n      <td>6.998021</td>\n      <td>00:07:28</td>\n      <td>00:02:22</td>\n      <td>3.072098</td>\n      <td>00:05:25</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>168.345455</td>\n      <td>176.0</td>\n      <td>168.900000</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>980.162640</td>\n      <td>00:07:20.001000</td>\n    </tr>\n    <tr>\n      <th>2020-07-05 09:41:59.999</th>\n      <td>00:18:19</td>\n      <td>1.918949</td>\n      <td>6.563570</td>\n      <td>00:08:41</td>\n      <td>00:02:32</td>\n      <td>2.729788</td>\n      <td>00:06:06</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>173.894180</td>\n      <td>185.0</td>\n      <td>174.577143</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>3139.401118</td>\n      <td>00:27:16</td>\n    </tr>\n    <tr>\n      <th>2020-07-13 09:13:58.718</th>\n      <td>00:40:21.281000</td>\n      <td>2.509703</td>\n      <td>8.520387</td>\n      <td>00:06:38</td>\n      <td>00:01:57</td>\n      <td>2.573151</td>\n      <td>00:06:28</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>170.808176</td>\n      <td>185.0</td>\n      <td>170.795527</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>6282.491059</td>\n      <td>00:41:43.281000</td>\n    </tr>\n    <tr>\n      <th>2020-07-17 09:33:02.308</th>\n      <td>00:32:07.691000</td>\n      <td>2.643278</td>\n      <td>8.365431</td>\n      <td>00:06:18</td>\n      <td>00:01:59</td>\n      <td>2.643278</td>\n      <td>00:06:18</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>176.436242</td>\n      <td>186.0</td>\n      <td>176.436242</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5095.423045</td>\n      <td>00:32:07.691000</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      <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>2021-06-13 09:22:30.985</th>\n      <td>01:32:33.018000</td>\n      <td>2.612872</td>\n      <td>23.583956</td>\n      <td>00:06:22</td>\n      <td>00:00:42</td>\n      <td>2.810855</td>\n      <td>00:05:55</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>169.340812</td>\n      <td>183.0</td>\n      <td>169.655879</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>15706.017295</td>\n      <td>01:40:11.016000</td>\n    </tr>\n    <tr>\n      <th>2021-06-20 09:16:55.163</th>\n      <td>00:59:44.512000</td>\n      <td>2.492640</td>\n      <td>6.065895</td>\n      <td>00:06:41</td>\n      <td>00:02:44</td>\n      <td>2.749453</td>\n      <td>00:06:03</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>170.539809</td>\n      <td>190.0</td>\n      <td>171.231392</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>9965.168311</td>\n      <td>01:06:37.837000</td>\n    </tr>\n    <tr>\n      <th>2021-06-23 09:37:44.000</th>\n      <td>00:26:49.001000</td>\n      <td>2.501796</td>\n      <td>5.641343</td>\n      <td>00:06:39</td>\n      <td>00:02:57</td>\n      <td>2.568947</td>\n      <td>00:06:29</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>156.864865</td>\n      <td>171.0</td>\n      <td>156.957031</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>4165.492241</td>\n      <td>00:27:45.001000</td>\n    </tr>\n    <tr>\n      <th>2021-06-27 09:50:08.664</th>\n      <td>00:31:42.336000</td>\n      <td>2.646493</td>\n      <td>32.734124</td>\n      <td>00:06:17</td>\n      <td>00:00:30</td>\n      <td>2.661853</td>\n      <td>00:06:15</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>166.642857</td>\n      <td>176.0</td>\n      <td>166.721116</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5074.217061</td>\n      <td>00:31:57.336000</td>\n    </tr>\n    <tr>\n      <th>2021-07-04 11:23:19.418</th>\n      <td>00:47:47.583000</td>\n      <td>2.602263</td>\n      <td>4.212320</td>\n      <td>00:06:24</td>\n      <td>00:03:57</td>\n      <td>2.856801</td>\n      <td>00:05:50</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>177.821862</td>\n      <td>192.0</td>\n      <td>177.956967</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>8248.084577</td>\n      <td>00:52:49.582000</td>\n    </tr>\n  </tbody>\n</table>\n<p>68 rows × 18 columns</p>\n</div>"
     },
     "metadata": {},
     "execution_count": 10
    }
   ],
   "source": [
    "summary = session.session.summarize()\n",
    "summary"
   ]
  },
  {
   "source": [
    "Here, some descriptive statistics:"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "summary['day_diff'] = summary.index.to_series().diff().astype('timedelta64[D]').astype('Int64') \n",
    "summary['pace_moving_all_mean'] = summary.mean_moving_pace.mean()\n",
    "summary['distance_all_mean'] = round(summary.total_distance.mean()/1000,2)\n",
    "summary['mean_speed'] = summary['mean_speed'] * 3.6 #convert from m/s  to km/h\n",
    "summary['max_speed'] = summary['max_speed'] * 3.6 #convert from m/s  to km/h\n",
    "summary['mean_moving_speed'] = summary['mean_moving_speed'] * 3.6 #convert from m/s  to km/h"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Session Interval: 366 days\nTotal Workouts: 68 runnings\nTota KM Distance: 491.77377537338896\nRunning Intervals (average): 5.0 days\nAverage Pace (all runs): 0 days 00:07:18.411764\nAverage Moving Pace (all runs): 0 days 00:06:02.147058\nAverage KM Distance (all runs): 7.23\n"
     ]
    }
   ],
   "source": [
    "print('Session Interval:', (summary.index.to_series().max() - summary.index.to_series().min()).days, 'days')\n",
    "print('Total Workouts:', len(summary), 'runnings')\n",
    "print('Tota KM Distance:', summary['total_distance'].sum() / 1000)\n",
    "print('Running Intervals (average):' , round(summary.day_diff.mean(), 2), 'days')\n",
    "print('Average Pace (all runs):', summary.mean_pace.mean())\n",
    "print('Average Moving Pace (all runs):', summary.mean_moving_pace.mean())\n",
    "print('Average KM Distance (all runs):', round(summary.total_distance.mean()/ 1000,2))"
   ]
  },
  {
   "source": [
    "As we can see above, we analyzed the period of 366 days (one year) of running workouts. In this period, she ran 68 times which achieved the total distance of 491 km! The average interval in days between two actitivies is 5 days, with average moving pace of 06'02\" per km and average distance of 7.23km!  Great numbers for a starter runner!"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "## Exploring the data with some visualizations"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "At this point, I have the data to start some visualization and analysis. The first question that popped was : How was the evolution of my average moving pace through all the runs and the corresponding average?   Let's use the ``matplotlib`` package to illustrate the possible answer."
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#let's convert the pace to float number in minutes\n",
    "import datetime\n",
    "summary['mean_moving_pace_float'] = summary['mean_moving_pace'] / datetime.timedelta(minutes=1)\n",
    "summary['pace_moving_all_mean_float'] = summary['pace_moving_all_mean'] / datetime.timedelta(minutes=1)\n",
    "#replace NA values with 0\n",
    "summary['day_diff'].fillna(0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fa8d8d28b50>"
      ]
     },
     "metadata": {},
     "execution_count": 14
    },
    {
     "output_type": "display_data",
     "data": {
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.subplots(figsize=(8, 5))\n",
    "\n",
    "plt.plot(summary.index, summary.mean_moving_pace_float, color='silver')\n",
    "plt.plot(summary.pace_moving_all_mean_float, color='purple', linestyle='dashed', label='average')\n",
    "plt.title(\"Pace Evolution\")\n",
    "plt.xlabel(\"Runnings\")\n",
    "plt.ylabel(\"Pace\")\n",
    "plt.legend()"
   ]
  },
  {
   "source": [
    "We can see some outliers at the running workouts at september 2020. Let's do some filtering (excluding those with \"unreasonable\" paces that might be mislabelled)"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fa8d916ac10>"
      ]
     },
     "metadata": {},
     "execution_count": 15
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "summary_without_outliers = summary[summary['mean_moving_pace_float'].between(5,10)]\n",
    "\n",
    "plt.plot(summary_without_outliers.index, summary_without_outliers.mean_moving_pace_float, color='silver')\n",
    "plt.plot(summary_without_outliers.pace_moving_all_mean_float, color='purple', linestyle='dashed', label='average')\n",
    "plt.title(\"Pace Evolution\")\n",
    "plt.xlabel(\"Runnings\")\n",
    "plt.xticks(rotation=90)\n",
    "plt.ylabel(\"Pace\")\n",
    "plt.legend()"
   ]
  },
  {
   "source": [
    "That looks much better now. Now we can see clearly that her pace kept floating between 6'50 min and 6'00 min over all this year.  I also created a new variable at my summary dataframe called ``day_diff``, which means the interval in day between consecutive workouts. This variable helped me to see if her pace grew up as the number of the days without running also increased.  "
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
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     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "#recompute the day_diff removing the outliers\n",
    "summary_without_outliers['day_diff'] = summary_without_outliers.index.to_series().diff().astype('timedelta64[D]').astype('Int64') \n",
    "summary_without_outliers['day_diff'].fillna(0, inplace=True)\n",
    "\n",
    "fig,ax = plt.subplots(figsize=(8, 5))\n",
    "ax.plot(summary_without_outliers.index, summary_without_outliers.mean_moving_pace_float, color='silver')\n",
    "ax.set_xlabel('Runnings')\n",
    "ax.set_ylabel('Pace',color='silver')\n",
    "ax2=ax.twinx()\n",
    "ax2.plot(summary_without_outliers.index, summary_without_outliers.day_diff.astype('int'),color='purple')\n",
    "ax2.set_ylabel('Days Without Running',color='indigo', rotation=270)\n",
    "plt.title('Pace vs Days without Running')\n",
    "plt.show()\n"
   ]
  },
  {
   "source": [
    "As we can see at the chart above, there isn't a linear correlation between the number of the days without running and her growing pace.  In her case it might be the period of rest helped her to a better recovery. Can we have a statistical evidence ?"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "The following code will create a regression plot of her interval of days vs pace. I will use Seaborn to create plot.  As we can see there is negative correlation between the two variables, although, it's not strong."
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Day Diff vs Pace')"
      ]
     },
     "metadata": {},
     "execution_count": 17
    },
    {
     "output_type": "display_data",
     "data": {
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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.set(style=\"ticks\", context=\"talk\")\n",
    "sns.regplot(x=summary_without_outliers.day_diff.astype('int'), y=summary_without_outliers.mean_moving_pace_float).set_title(\"Day Diff vs Pace\")\n"
   ]
  },
  {
   "source": [
    "Let's explore now the relationship between the mean pace and the average speed. It is obvious that the bigger the average speed the pace is lower. More fast means less time to cover the distance."
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 576x360 with 1 Axes>",
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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "plt.subplots(figsize=(8, 5))\n",
    "\n",
    "plt.plot(summary_without_outliers.index, summary_without_outliers.mean_moving_pace_float, color='silver', label='Average Pace')\n",
    "plt.plot(summary_without_outliers.mean_moving_speed, color='purple', label = 'Average Speed')\n",
    "plt.title(\"Average Speed x Average Pace\")\n",
    "plt.xlabel(\"Runnings\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "source": [
    "The chart below illustrates the evolution of the total distance covered at her runnings workouts. There is a higher variance of her run distances. The average distance for most of the runs is close to 7km. The second chart illustrating the histogram of the run distances show that most of her usual weekday runs are around 4-7km and my longer weekend runs (she started to run longer distances above 7kms very recently).\n"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "\n",
    "plt.subplots(figsize=(8, 5))\n",
    "\n",
    "plt.plot(summary_without_outliers.index, summary_without_outliers.total_distance / 1000, color='silver')\n",
    "plt.plot(summary_without_outliers.distance_all_mean, color='purple', linestyle='dashed', label='average')\n",
    "plt.title(\"Distance Evolution\")\n",
    "plt.xlabel(\"Runs\")\n",
    "plt.ylabel(\"distance\")\n",
    "plt.legend()\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "metadata": {},
     "execution_count": 20
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
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     },
     "metadata": {}
    }
   ],
   "source": [
    "(summary_without_outliers['total_distance'] / 1000.0).hist(bins=30)\n"
   ]
  },
  {
   "source": [
    "Now let's see how faster she was and if there is a distinction between longer and shorter runs related to the speed (slower vs faster). Let's try plotting distance against speed to get a better idea.\n"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fa8da85bf40>"
      ]
     },
     "metadata": {},
     "execution_count": 21
    },
    {
     "output_type": "display_data",
     "data": {
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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "plt.subplots(figsize=(8, 5))\n",
    "\n",
    "plt.scatter(summary_without_outliers.total_distance/ 1000, summary_without_outliers.mean_moving_pace_float, color='purple', marker='s')\n",
    "plt.title(\"Distance vs. pace\")\n",
    "plt.xlabel(\"Distance\")\n",
    "plt.ylabel(\"Pace\")\n",
    "plt.legend()"
   ]
  },
  {
   "source": [
    "The distribution of her pace across the distance runs is very dispersed. It means a no clear trend there. But what if we restrict it just to this year ?"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "summary_without_outliers_2021 = summary_without_outliers[summary_without_outliers.index > '2021-01-01']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "                            moving_time  mean_speed   max_speed mean_pace  \\\n",
       "start                                                                       \n",
       "2021-01-02 09:07:36.900        01:04:45    9.244853   68.900544  00:06:29   \n",
       "2021-01-15 09:08:54.810 00:37:22.191000   10.048012  152.739973  00:05:58   \n",
       "2021-01-17 09:41:25.270 00:38:41.730000    9.321227   23.778071  00:06:26   \n",
       "2021-01-27 18:24:14.001        00:23:40   10.432233   20.445663  00:05:45   \n",
       "2021-01-31 09:18:46.676 00:53:54.324000    8.830295   49.801374  00:06:47   \n",
       "2021-02-05 08:58:10.295 00:24:56.707000    9.690825   25.378717  00:06:11   \n",
       "2021-02-07 09:15:40.107 01:19:07.893000    8.925130   17.529999  00:06:43   \n",
       "2021-02-12 09:05:13.211 00:30:39.790000   10.035336   22.995251  00:05:58   \n",
       "2021-02-19 09:12:26.076 00:45:10.925000    9.489594   54.967249  00:06:19   \n",
       "2021-02-21 09:47:38.109 00:43:32.892000    9.840626   23.993080  00:06:05   \n",
       "2021-03-14 10:06:16.609 00:32:01.391000    9.619669  256.195692  00:06:14   \n",
       "2021-03-20 09:28:54.161 00:32:54.843000    8.040413   12.058690  00:07:27   \n",
       "2021-03-21 09:47:35.279 00:47:52.721000    8.391221   12.847088  00:07:09   \n",
       "2021-03-28 09:31:37.000 00:55:37.999000    8.365421   20.043178  00:07:10   \n",
       "2021-04-02 09:39:34.000        00:30:31   10.005436   37.905503  00:05:59   \n",
       "2021-04-04 09:16:15.798 01:03:41.203000    9.525359  352.418093  00:06:17   \n",
       "2021-04-09 09:39:12.563 00:19:11.437000   10.108209   33.004691  00:05:56   \n",
       "2021-04-11 09:36:44.033 01:03:52.970000    8.931733   62.591395  00:06:43   \n",
       "2021-04-21 09:05:33.139 00:36:30.861000   10.122163   20.957374  00:05:55   \n",
       "2021-04-25 09:38:37.511 01:15:46.633000    9.651477   49.152245  00:06:13   \n",
       "2021-05-02 09:39:39.002 00:28:44.998000    9.902854   13.701415  00:06:03   \n",
       "2021-05-21 09:17:20.000        00:25:12    9.362450   17.238005  00:06:24   \n",
       "2021-05-28 19:37:03.392 00:43:42.408000    9.546533   32.766574  00:06:17   \n",
       "2021-05-30 09:58:12.455 01:02:05.546000    9.230633   26.180357  00:06:30   \n",
       "2021-06-06 09:33:11.000 00:50:08.002000    8.863385   24.451184  00:06:46   \n",
       "2021-06-11 09:30:44.000        00:25:50    9.470173   21.739674  00:06:20   \n",
       "2021-06-13 09:22:30.985 01:32:33.018000    9.406340   84.902240  00:06:22   \n",
       "2021-06-20 09:16:55.163 00:59:44.512000    8.973504   21.837222  00:06:41   \n",
       "2021-06-23 09:37:44.000 00:26:49.001000    9.006464   20.308834  00:06:39   \n",
       "2021-06-27 09:50:08.664 00:31:42.336000    9.527376  117.842846  00:06:17   \n",
       "2021-07-04 11:23:19.418 00:47:47.583000    9.368145   15.164352  00:06:24   \n",
       "\n",
       "                        max_pace  mean_moving_speed mean_moving_pace  \\\n",
       "start                                                                  \n",
       "2021-01-02 09:07:36.900 00:00:52           9.351208         00:06:24   \n",
       "2021-01-15 09:08:54.810 00:00:23          10.106837         00:05:56   \n",
       "2021-01-17 09:41:25.270 00:02:31           9.464527         00:06:20   \n",
       "2021-01-27 18:24:14.001 00:02:56          10.432233         00:05:45   \n",
       "2021-01-31 09:18:46.676 00:01:12           9.416889         00:06:22   \n",
       "2021-02-05 08:58:10.295 00:02:21           9.690825         00:06:11   \n",
       "2021-02-07 09:15:40.107 00:03:25           9.314387         00:06:26   \n",
       "2021-02-12 09:05:13.211 00:02:36          10.035336         00:05:58   \n",
       "2021-02-19 09:12:26.076 00:01:05           9.564430         00:06:16   \n",
       "2021-02-21 09:47:38.109 00:02:30           9.840626         00:06:05   \n",
       "2021-03-14 10:06:16.609 00:00:14           9.668954         00:06:12   \n",
       "2021-03-20 09:28:54.161 00:04:58           9.370022         00:06:24   \n",
       "2021-03-21 09:47:35.279 00:04:40           8.892325         00:06:44   \n",
       "2021-03-28 09:31:37.000 00:02:59           9.415942         00:06:22   \n",
       "2021-04-02 09:39:34.000 00:01:34          10.081349         00:05:57   \n",
       "2021-04-04 09:16:15.798 00:00:10           9.939046         00:06:02   \n",
       "2021-04-09 09:39:12.563 00:01:49          10.108209         00:05:56   \n",
       "2021-04-11 09:36:44.033 00:00:57           9.801456         00:06:07   \n",
       "2021-04-21 09:05:33.139 00:02:51          10.122163         00:05:55   \n",
       "2021-04-25 09:38:37.511 00:01:13          10.000173         00:05:59   \n",
       "2021-05-02 09:39:39.002 00:04:22          10.494083         00:05:43   \n",
       "2021-05-21 09:17:20.000 00:03:28           9.782870         00:06:07   \n",
       "2021-05-28 19:37:03.392 00:01:49           9.997542         00:06:00   \n",
       "2021-05-30 09:58:12.455 00:02:17           9.762058         00:06:08   \n",
       "2021-06-06 09:33:11.000 00:02:27           9.663379         00:06:12   \n",
       "2021-06-11 09:30:44.000 00:02:45           9.694837         00:06:11   \n",
       "2021-06-13 09:22:30.985 00:00:42          10.119079         00:05:55   \n",
       "2021-06-20 09:16:55.163 00:02:44           9.898030         00:06:03   \n",
       "2021-06-23 09:37:44.000 00:02:57           9.248208         00:06:29   \n",
       "2021-06-27 09:50:08.664 00:00:30           9.582671         00:06:15   \n",
       "2021-07-04 11:23:19.418 00:03:57          10.284485         00:05:50   \n",
       "\n",
       "                         mean_cadence  max_cadence  mean_moving_cadence  ...  \\\n",
       "start                                                                    ...   \n",
       "2021-01-02 09:07:36.900           NaN          NaN                  NaN  ...   \n",
       "2021-01-15 09:08:54.810           NaN          NaN                  NaN  ...   \n",
       "2021-01-17 09:41:25.270           NaN          NaN                  NaN  ...   \n",
       "2021-01-27 18:24:14.001           NaN          NaN                  NaN  ...   \n",
       "2021-01-31 09:18:46.676           NaN          NaN                  NaN  ...   \n",
       "2021-02-05 08:58:10.295           NaN          NaN                  NaN  ...   \n",
       "2021-02-07 09:15:40.107           NaN          NaN                  NaN  ...   \n",
       "2021-02-12 09:05:13.211           NaN          NaN                  NaN  ...   \n",
       "2021-02-19 09:12:26.076           NaN          NaN                  NaN  ...   \n",
       "2021-02-21 09:47:38.109           NaN          NaN                  NaN  ...   \n",
       "2021-03-14 10:06:16.609           NaN          NaN                  NaN  ...   \n",
       "2021-03-20 09:28:54.161           NaN          NaN                  NaN  ...   \n",
       "2021-03-21 09:47:35.279           NaN          NaN                  NaN  ...   \n",
       "2021-03-28 09:31:37.000           NaN          NaN                  NaN  ...   \n",
       "2021-04-02 09:39:34.000           NaN          NaN                  NaN  ...   \n",
       "2021-04-04 09:16:15.798           NaN          NaN                  NaN  ...   \n",
       "2021-04-09 09:39:12.563           NaN          NaN                  NaN  ...   \n",
       "2021-04-11 09:36:44.033           NaN          NaN                  NaN  ...   \n",
       "2021-04-21 09:05:33.139           NaN          NaN                  NaN  ...   \n",
       "2021-04-25 09:38:37.511           NaN          NaN                  NaN  ...   \n",
       "2021-05-02 09:39:39.002           NaN          NaN                  NaN  ...   \n",
       "2021-05-21 09:17:20.000           NaN          NaN                  NaN  ...   \n",
       "2021-05-28 19:37:03.392           NaN          NaN                  NaN  ...   \n",
       "2021-05-30 09:58:12.455           NaN          NaN                  NaN  ...   \n",
       "2021-06-06 09:33:11.000           NaN          NaN                  NaN  ...   \n",
       "2021-06-11 09:30:44.000           NaN          NaN                  NaN  ...   \n",
       "2021-06-13 09:22:30.985           NaN          NaN                  NaN  ...   \n",
       "2021-06-20 09:16:55.163           NaN          NaN                  NaN  ...   \n",
       "2021-06-23 09:37:44.000           NaN          NaN                  NaN  ...   \n",
       "2021-06-27 09:50:08.664           NaN          NaN                  NaN  ...   \n",
       "2021-07-04 11:23:19.418           NaN          NaN                  NaN  ...   \n",
       "\n",
       "                         mean_temperature  min_temperature  max_temperature  \\\n",
       "start                                                                         \n",
       "2021-01-02 09:07:36.900               NaN              NaN              NaN   \n",
       "2021-01-15 09:08:54.810               NaN              NaN              NaN   \n",
       "2021-01-17 09:41:25.270               NaN              NaN              NaN   \n",
       "2021-01-27 18:24:14.001               NaN              NaN              NaN   \n",
       "2021-01-31 09:18:46.676               NaN              NaN              NaN   \n",
       "2021-02-05 08:58:10.295               NaN              NaN              NaN   \n",
       "2021-02-07 09:15:40.107               NaN              NaN              NaN   \n",
       "2021-02-12 09:05:13.211               NaN              NaN              NaN   \n",
       "2021-02-19 09:12:26.076               NaN              NaN              NaN   \n",
       "2021-02-21 09:47:38.109               NaN              NaN              NaN   \n",
       "2021-03-14 10:06:16.609               NaN              NaN              NaN   \n",
       "2021-03-20 09:28:54.161               NaN              NaN              NaN   \n",
       "2021-03-21 09:47:35.279               NaN              NaN              NaN   \n",
       "2021-03-28 09:31:37.000               NaN              NaN              NaN   \n",
       "2021-04-02 09:39:34.000               NaN              NaN              NaN   \n",
       "2021-04-04 09:16:15.798               NaN              NaN              NaN   \n",
       "2021-04-09 09:39:12.563               NaN              NaN              NaN   \n",
       "2021-04-11 09:36:44.033               NaN              NaN              NaN   \n",
       "2021-04-21 09:05:33.139               NaN              NaN              NaN   \n",
       "2021-04-25 09:38:37.511               NaN              NaN              NaN   \n",
       "2021-05-02 09:39:39.002               NaN              NaN              NaN   \n",
       "2021-05-21 09:17:20.000               NaN              NaN              NaN   \n",
       "2021-05-28 19:37:03.392               NaN              NaN              NaN   \n",
       "2021-05-30 09:58:12.455               NaN              NaN              NaN   \n",
       "2021-06-06 09:33:11.000               NaN              NaN              NaN   \n",
       "2021-06-11 09:30:44.000               NaN              NaN              NaN   \n",
       "2021-06-13 09:22:30.985               NaN              NaN              NaN   \n",
       "2021-06-20 09:16:55.163               NaN              NaN              NaN   \n",
       "2021-06-23 09:37:44.000               NaN              NaN              NaN   \n",
       "2021-06-27 09:50:08.664               NaN              NaN              NaN   \n",
       "2021-07-04 11:23:19.418               NaN              NaN              NaN   \n",
       "\n",
       "                         total_distance   ellapsed_time  day_diff  \\\n",
       "start                                                               \n",
       "2021-01-02 09:07:36.900    10113.098986 01:05:38.100000         5   \n",
       "2021-01-15 09:08:54.810     6305.660653 00:37:39.191000        13   \n",
       "2021-01-17 09:41:25.270     6135.777736 00:39:29.731000         2   \n",
       "2021-01-27 18:24:14.001     4114.936468        00:23:40        10   \n",
       "2021-01-31 09:18:46.676     8502.408803 00:57:46.325000         3   \n",
       "2021-02-05 08:58:10.295     4028.979227 00:24:56.707000         4   \n",
       "2021-02-07 09:15:40.107    12351.125311 01:23:01.894000         2   \n",
       "2021-02-12 09:05:13.211     5128.586271 00:30:39.790000         4   \n",
       "2021-02-19 09:12:26.076     7214.529809 00:45:36.925000         7   \n",
       "2021-02-21 09:47:38.109     7142.359084 00:43:32.892000         2   \n",
       "2021-03-14 10:06:16.609     5171.616917 00:32:15.391000        21   \n",
       "2021-03-20 09:28:54.161     5214.743810 00:38:54.840000         5   \n",
       "2021-03-21 09:47:35.279     7127.228493 00:50:57.722000         1   \n",
       "2021-03-28 09:31:37.000     8862.698326        01:03:34         6   \n",
       "2021-04-02 09:39:34.000     5138.905933 00:30:49.001000         5   \n",
       "2021-04-04 09:16:15.798    10623.961318 01:06:55.204000         1   \n",
       "2021-04-09 09:39:12.563     3233.046143 00:19:11.437000         5   \n",
       "2021-04-11 09:36:44.033    10544.330137 01:10:49.969000         1   \n",
       "2021-04-21 09:05:33.139     6160.070149 00:36:30.861000         9   \n",
       "2021-04-25 09:38:37.511    12719.815370 01:19:04.490000         4   \n",
       "2021-05-02 09:39:39.002     5050.450029 00:30:35.998000         7   \n",
       "2021-05-21 09:17:20.000     4142.884173        00:26:33        18   \n",
       "2021-05-28 19:37:03.392     7349.790670 00:46:11.608000         7   \n",
       "2021-05-30 09:58:12.455    10147.404038 01:05:57.546000         1   \n",
       "2021-06-06 09:33:11.000     8196.171447 00:55:29.001000         6   \n",
       "2021-06-11 09:30:44.000     4206.337676 00:26:39.001000         4   \n",
       "2021-06-13 09:22:30.985    15706.017295 01:40:11.016000         1   \n",
       "2021-06-20 09:16:55.163     9965.168311 01:06:37.837000         6   \n",
       "2021-06-23 09:37:44.000     4165.492241 00:27:45.001000         3   \n",
       "2021-06-27 09:50:08.664     5074.217061 00:31:57.336000         4   \n",
       "2021-07-04 11:23:19.418     8248.084577 00:52:49.582000         7   \n",
       "\n",
       "                         pace_moving_all_mean distance_all_mean  \\\n",
       "start                                                             \n",
       "2021-01-02 09:07:36.900       00:06:02.147058              7.23   \n",
       "2021-01-15 09:08:54.810       00:06:02.147058              7.23   \n",
       "2021-01-17 09:41:25.270       00:06:02.147058              7.23   \n",
       "2021-01-27 18:24:14.001       00:06:02.147058              7.23   \n",
       "2021-01-31 09:18:46.676       00:06:02.147058              7.23   \n",
       "2021-02-05 08:58:10.295       00:06:02.147058              7.23   \n",
       "2021-02-07 09:15:40.107       00:06:02.147058              7.23   \n",
       "2021-02-12 09:05:13.211       00:06:02.147058              7.23   \n",
       "2021-02-19 09:12:26.076       00:06:02.147058              7.23   \n",
       "2021-02-21 09:47:38.109       00:06:02.147058              7.23   \n",
       "2021-03-14 10:06:16.609       00:06:02.147058              7.23   \n",
       "2021-03-20 09:28:54.161       00:06:02.147058              7.23   \n",
       "2021-03-21 09:47:35.279       00:06:02.147058              7.23   \n",
       "2021-03-28 09:31:37.000       00:06:02.147058              7.23   \n",
       "2021-04-02 09:39:34.000       00:06:02.147058              7.23   \n",
       "2021-04-04 09:16:15.798       00:06:02.147058              7.23   \n",
       "2021-04-09 09:39:12.563       00:06:02.147058              7.23   \n",
       "2021-04-11 09:36:44.033       00:06:02.147058              7.23   \n",
       "2021-04-21 09:05:33.139       00:06:02.147058              7.23   \n",
       "2021-04-25 09:38:37.511       00:06:02.147058              7.23   \n",
       "2021-05-02 09:39:39.002       00:06:02.147058              7.23   \n",
       "2021-05-21 09:17:20.000       00:06:02.147058              7.23   \n",
       "2021-05-28 19:37:03.392       00:06:02.147058              7.23   \n",
       "2021-05-30 09:58:12.455       00:06:02.147058              7.23   \n",
       "2021-06-06 09:33:11.000       00:06:02.147058              7.23   \n",
       "2021-06-11 09:30:44.000       00:06:02.147058              7.23   \n",
       "2021-06-13 09:22:30.985       00:06:02.147058              7.23   \n",
       "2021-06-20 09:16:55.163       00:06:02.147058              7.23   \n",
       "2021-06-23 09:37:44.000       00:06:02.147058              7.23   \n",
       "2021-06-27 09:50:08.664       00:06:02.147058              7.23   \n",
       "2021-07-04 11:23:19.418       00:06:02.147058              7.23   \n",
       "\n",
       "                         mean_moving_pace_float pace_moving_all_mean_float  \n",
       "start                                                                       \n",
       "2021-01-02 09:07:36.900                6.400000                   6.035784  \n",
       "2021-01-15 09:08:54.810                5.933333                   6.035784  \n",
       "2021-01-17 09:41:25.270                6.333333                   6.035784  \n",
       "2021-01-27 18:24:14.001                5.750000                   6.035784  \n",
       "2021-01-31 09:18:46.676                6.366667                   6.035784  \n",
       "2021-02-05 08:58:10.295                6.183333                   6.035784  \n",
       "2021-02-07 09:15:40.107                6.433333                   6.035784  \n",
       "2021-02-12 09:05:13.211                5.966667                   6.035784  \n",
       "2021-02-19 09:12:26.076                6.266667                   6.035784  \n",
       "2021-02-21 09:47:38.109                6.083333                   6.035784  \n",
       "2021-03-14 10:06:16.609                6.200000                   6.035784  \n",
       "2021-03-20 09:28:54.161                6.400000                   6.035784  \n",
       "2021-03-21 09:47:35.279                6.733333                   6.035784  \n",
       "2021-03-28 09:31:37.000                6.366667                   6.035784  \n",
       "2021-04-02 09:39:34.000                5.950000                   6.035784  \n",
       "2021-04-04 09:16:15.798                6.033333                   6.035784  \n",
       "2021-04-09 09:39:12.563                5.933333                   6.035784  \n",
       "2021-04-11 09:36:44.033                6.116667                   6.035784  \n",
       "2021-04-21 09:05:33.139                5.916667                   6.035784  \n",
       "2021-04-25 09:38:37.511                5.983333                   6.035784  \n",
       "2021-05-02 09:39:39.002                5.716667                   6.035784  \n",
       "2021-05-21 09:17:20.000                6.116667                   6.035784  \n",
       "2021-05-28 19:37:03.392                6.000000                   6.035784  \n",
       "2021-05-30 09:58:12.455                6.133333                   6.035784  \n",
       "2021-06-06 09:33:11.000                6.200000                   6.035784  \n",
       "2021-06-11 09:30:44.000                6.183333                   6.035784  \n",
       "2021-06-13 09:22:30.985                5.916667                   6.035784  \n",
       "2021-06-20 09:16:55.163                6.050000                   6.035784  \n",
       "2021-06-23 09:37:44.000                6.483333                   6.035784  \n",
       "2021-06-27 09:50:08.664                6.250000                   6.035784  \n",
       "2021-07-04 11:23:19.418                5.833333                   6.035784  \n",
       "\n",
       "[31 rows x 23 columns]"
      ],
      "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>moving_time</th>\n      <th>mean_speed</th>\n      <th>max_speed</th>\n      <th>mean_pace</th>\n      <th>max_pace</th>\n      <th>mean_moving_speed</th>\n      <th>mean_moving_pace</th>\n      <th>mean_cadence</th>\n      <th>max_cadence</th>\n      <th>mean_moving_cadence</th>\n      <th>...</th>\n      <th>mean_temperature</th>\n      <th>min_temperature</th>\n      <th>max_temperature</th>\n      <th>total_distance</th>\n      <th>ellapsed_time</th>\n      <th>day_diff</th>\n      <th>pace_moving_all_mean</th>\n      <th>distance_all_mean</th>\n      <th>mean_moving_pace_float</th>\n      <th>pace_moving_all_mean_float</th>\n    </tr>\n    <tr>\n      <th>start</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2021-01-02 09:07:36.900</th>\n      <td>01:04:45</td>\n      <td>9.244853</td>\n      <td>68.900544</td>\n      <td>00:06:29</td>\n      <td>00:00:52</td>\n      <td>9.351208</td>\n      <td>00:06:24</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>10113.098986</td>\n      <td>01:05:38.100000</td>\n      <td>5</td>\n      <td>00:06:02.147058</td>\n      <td>7.23</td>\n      <td>6.400000</td>\n      <td>6.035784</td>\n    </tr>\n    <tr>\n      <th>2021-01-15 09:08:54.810</th>\n      <td>00:37:22.191000</td>\n      <td>10.048012</td>\n      <td>152.739973</td>\n      <td>00:05:58</td>\n      <td>00:00:23</td>\n      <td>10.106837</td>\n      <td>00:05:56</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>6305.660653</td>\n      <td>00:37:39.191000</td>\n      <td>13</td>\n      <td>00:06:02.147058</td>\n      <td>7.23</td>\n      <td>5.933333</td>\n      <td>6.035784</td>\n    </tr>\n    <tr>\n      <th>2021-01-17 09:41:25.270</th>\n      <td>00:38:41.730000</td>\n      <td>9.321227</td>\n      <td>23.778071</td>\n      <td>00:06:26</td>\n      <td>00:02:31</td>\n      <td>9.464527</td>\n      <td>00:06:20</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>6135.777736</td>\n      <td>00:39:29.731000</td>\n      <td>2</td>\n      <td>00:06:02.147058</td>\n      <td>7.23</td>\n      <td>6.333333</td>\n      <td>6.035784</td>\n    </tr>\n    <tr>\n      <th>2021-01-27 18:24:14.001</th>\n      <td>00:23:40</td>\n      <td>10.432233</td>\n      <td>20.445663</td>\n      <td>00:05:45</td>\n      <td>00:02:56</td>\n      <td>10.432233</td>\n      <td>00:05:45</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>4114.936468</td>\n      <td>00:23:40</td>\n      <td>10</td>\n      <td>00:06:02.147058</td>\n      <td>7.23</td>\n      <td>5.750000</td>\n      <td>6.035784</td>\n    </tr>\n    <tr>\n      <th>2021-01-31 09:18:46.676</th>\n      <td>00:53:54.324000</td>\n      <td>8.830295</td>\n      <td>49.801374</td>\n      <td>00:06:47</td>\n      <td>00:01:12</td>\n      <td>9.416889</td>\n      <td>00:06:22</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>8502.408803</td>\n      <td>00:57:46.325000</td>\n      <td>3</td>\n      <td>00:06:02.147058</td>\n      <td>7.23</td>\n      <td>6.366667</td>\n      <td>6.035784</td>\n    </tr>\n    <tr>\n      <th>2021-02-05 08:58:10.295</th>\n      <td>00:24:56.707000</td>\n      <td>9.690825</td>\n      <td>25.378717</td>\n      <td>00:06:11</td>\n      <td>00:02:21</td>\n      <td>9.690825</td>\n      <td>00:06:11</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>4028.979227</td>\n      <td>00:24:56.707000</td>\n      <td>4</td>\n      <td>00:06:02.147058</td>\n      <td>7.23</td>\n      <td>6.183333</td>\n      <td>6.035784</td>\n    </tr>\n    <tr>\n      <th>2021-02-07 09:15:40.107</th>\n      <td>01:19:07.893000</td>\n      <td>8.925130</td>\n      <td>17.529999</td>\n      <td>00:06:43</td>\n      <td>00:03:25</td>\n      <td>9.314387</td>\n      <td>00:06:26</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>12351.125311</td>\n      <td>01:23:01.894000</td>\n      <td>2</td>\n      <td>00:06:02.147058</td>\n      <td>7.23</td>\n      <td>6.433333</td>\n      <td>6.035784</td>\n    </tr>\n    <tr>\n      <th>2021-02-12 09:05:13.211</th>\n      <td>00:30:39.790000</td>\n      <td>10.035336</td>\n      <td>22.995251</td>\n      <td>00:05:58</td>\n      <td>00:02:36</td>\n      <td>10.035336</td>\n      <td>00:05:58</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5128.586271</td>\n      <td>00:30:39.790000</td>\n      <td>4</td>\n      <td>00:06:02.147058</td>\n      <td>7.23</td>\n      <td>5.966667</td>\n      <td>6.035784</td>\n    </tr>\n    <tr>\n      <th>2021-02-19 09:12:26.076</th>\n      <td>00:45:10.925000</td>\n      <td>9.489594</td>\n      <td>54.967249</td>\n      <td>00:06:19</td>\n      <td>00:01:05</td>\n      <td>9.564430</td>\n      <td>00:06:16</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>7214.529809</td>\n      <td>00:45:36.925000</td>\n      <td>7</td>\n      <td>00:06:02.147058</td>\n      <td>7.23</td>\n      <td>6.266667</td>\n      <td>6.035784</td>\n    </tr>\n    <tr>\n      <th>2021-02-21 09:47:38.109</th>\n      <td>00:43:32.892000</td>\n      <td>9.840626</td>\n      <td>23.993080</td>\n      <td>00:06:05</td>\n      <td>00:02:30</td>\n      <td>9.840626</td>\n      <td>00:06:05</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>7142.359084</td>\n      <td>00:43:32.892000</td>\n      <td>2</td>\n      <td>00:06:02.147058</td>\n      <td>7.23</td>\n      <td>6.083333</td>\n      <td>6.035784</td>\n    </tr>\n    <tr>\n      <th>2021-03-14 10:06:16.609</th>\n      <td>00:32:01.391000</td>\n      <td>9.619669</td>\n      <td>256.195692</td>\n      <td>00:06:14</td>\n      <td>00:00:14</td>\n      <td>9.668954</td>\n      <td>00:06:12</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5171.616917</td>\n      <td>00:32:15.391000</td>\n      <td>21</td>\n      <td>00:06:02.147058</td>\n      <td>7.23</td>\n      <td>6.200000</td>\n      <td>6.035784</td>\n    </tr>\n    <tr>\n      <th>2021-03-20 09:28:54.161</th>\n      <td>00:32:54.843000</td>\n      <td>8.040413</td>\n      <td>12.058690</td>\n      <td>00:07:27</td>\n      <td>00:04:58</td>\n      <td>9.370022</td>\n      <td>00:06:24</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5214.743810</td>\n      <td>00:38:54.840000</td>\n      <td>5</td>\n      <td>00:06:02.147058</td>\n      <td>7.23</td>\n      <td>6.400000</td>\n      <td>6.035784</td>\n    </tr>\n    <tr>\n      <th>2021-03-21 09:47:35.279</th>\n      <td>00:47:52.721000</td>\n      <td>8.391221</td>\n      <td>12.847088</td>\n      <td>00:07:09</td>\n      <td>00:04:40</td>\n      <td>8.892325</td>\n      <td>00:06:44</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>7127.228493</td>\n      <td>00:50:57.722000</td>\n      <td>1</td>\n      <td>00:06:02.147058</td>\n      <td>7.23</td>\n      <td>6.733333</td>\n      <td>6.035784</td>\n    </tr>\n    <tr>\n      <th>2021-03-28 09:31:37.000</th>\n      <td>00:55:37.999000</td>\n      <td>8.365421</td>\n      <td>20.043178</td>\n      <td>00:07:10</td>\n      <td>00:02:59</td>\n      <td>9.415942</td>\n      <td>00:06:22</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>8862.698326</td>\n      <td>01:03:34</td>\n      <td>6</td>\n      <td>00:06:02.147058</td>\n      <td>7.23</td>\n      <td>6.366667</td>\n      <td>6.035784</td>\n    </tr>\n    <tr>\n      <th>2021-04-02 09:39:34.000</th>\n      <td>00:30:31</td>\n      <td>10.005436</td>\n      <td>37.905503</td>\n      <td>00:05:59</td>\n      <td>00:01:34</td>\n      <td>10.081349</td>\n      <td>00:05:57</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5138.905933</td>\n      <td>00:30:49.001000</td>\n      <td>5</td>\n      <td>00:06:02.147058</td>\n      <td>7.23</td>\n      <td>5.950000</td>\n      <td>6.035784</td>\n    </tr>\n    <tr>\n      <th>2021-04-04 09:16:15.798</th>\n      <td>01:03:41.203000</td>\n      <td>9.525359</td>\n      <td>352.418093</td>\n      <td>00:06:17</td>\n      <td>00:00:10</td>\n      <td>9.939046</td>\n      <td>00:06:02</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>10623.961318</td>\n      <td>01:06:55.204000</td>\n      <td>1</td>\n      <td>00:06:02.147058</td>\n      <td>7.23</td>\n      <td>6.033333</td>\n      <td>6.035784</td>\n    </tr>\n    <tr>\n      <th>2021-04-09 09:39:12.563</th>\n      <td>00:19:11.437000</td>\n      <td>10.108209</td>\n      <td>33.004691</td>\n      <td>00:05:56</td>\n      <td>00:01:49</td>\n      <td>10.108209</td>\n      <td>00:05:56</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>3233.046143</td>\n      <td>00:19:11.437000</td>\n      <td>5</td>\n      <td>00:06:02.147058</td>\n      <td>7.23</td>\n      <td>5.933333</td>\n      <td>6.035784</td>\n    </tr>\n    <tr>\n      <th>2021-04-11 09:36:44.033</th>\n      <td>01:03:52.970000</td>\n      <td>8.931733</td>\n      <td>62.591395</td>\n      <td>00:06:43</td>\n      <td>00:00:57</td>\n      <td>9.801456</td>\n      <td>00:06:07</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>10544.330137</td>\n      <td>01:10:49.969000</td>\n      <td>1</td>\n      <td>00:06:02.147058</td>\n      <td>7.23</td>\n      <td>6.116667</td>\n      <td>6.035784</td>\n    </tr>\n    <tr>\n      <th>2021-04-21 09:05:33.139</th>\n      <td>00:36:30.861000</td>\n      <td>10.122163</td>\n      <td>20.957374</td>\n      <td>00:05:55</td>\n      <td>00:02:51</td>\n      <td>10.122163</td>\n      <td>00:05:55</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>6160.070149</td>\n      <td>00:36:30.861000</td>\n      <td>9</td>\n      <td>00:06:02.147058</td>\n      <td>7.23</td>\n      <td>5.916667</td>\n      <td>6.035784</td>\n    </tr>\n    <tr>\n      <th>2021-04-25 09:38:37.511</th>\n      <td>01:15:46.633000</td>\n      <td>9.651477</td>\n      <td>49.152245</td>\n      <td>00:06:13</td>\n      <td>00:01:13</td>\n      <td>10.000173</td>\n      <td>00:05:59</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>12719.815370</td>\n      <td>01:19:04.490000</td>\n      <td>4</td>\n      <td>00:06:02.147058</td>\n      <td>7.23</td>\n      <td>5.983333</td>\n      <td>6.035784</td>\n    </tr>\n    <tr>\n      <th>2021-05-02 09:39:39.002</th>\n      <td>00:28:44.998000</td>\n      <td>9.902854</td>\n      <td>13.701415</td>\n      <td>00:06:03</td>\n      <td>00:04:22</td>\n      <td>10.494083</td>\n      <td>00:05:43</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>5050.450029</td>\n      <td>00:30:35.998000</td>\n      <td>7</td>\n      <td>00:06:02.147058</td>\n      <td>7.23</td>\n      <td>5.716667</td>\n      <td>6.035784</td>\n    </tr>\n    <tr>\n      <th>2021-05-21 09:17:20.000</th>\n      <td>00:25:12</td>\n      <td>9.362450</td>\n      <td>17.238005</td>\n      <td>00:06:24</td>\n      <td>00:03:28</td>\n      <td>9.782870</td>\n      <td>00:06:07</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>4142.884173</td>\n      <td>00:26:33</td>\n      <td>18</td>\n      <td>00:06:02.147058</td>\n      <td>7.23</td>\n      <td>6.116667</td>\n      <td>6.035784</td>\n    </tr>\n    <tr>\n      <th>2021-05-28 19:37:03.392</th>\n      <td>00:43:42.408000</td>\n      <td>9.546533</td>\n      <td>32.766574</td>\n      <td>00:06:17</td>\n      <td>00:01:49</td>\n      <td>9.997542</td>\n      <td>00:06:00</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>7349.790670</td>\n      <td>00:46:11.608000</td>\n      <td>7</td>\n      <td>00:06:02.147058</td>\n      <td>7.23</td>\n      <td>6.000000</td>\n      <td>6.035784</td>\n    </tr>\n    <tr>\n      <th>2021-05-30 09:58:12.455</th>\n      <td>01:02:05.546000</td>\n      <td>9.230633</td>\n      <td>26.180357</td>\n      <td>00:06:30</td>\n      <td>00:02:17</td>\n      <td>9.762058</td>\n      <td>00:06:08</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>10147.404038</td>\n      <td>01:05:57.546000</td>\n      <td>1</td>\n      <td>00:06:02.147058</td>\n      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     },
     "metadata": {},
     "execution_count": 23
    }
   ],
   "source": [
    "summary_without_outliers_2021"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fa8dad6b0d0>"
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     },
     "metadata": {},
     "execution_count": 24
    },
    {
     "output_type": "display_data",
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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "plt.subplots(figsize=(8, 5))\n",
    "\n",
    "plt.scatter(summary_without_outliers_2021.total_distance/ 1000, summary_without_outliers_2021.mean_moving_pace_float, color='purple', marker='s')\n",
    "plt.title(\"Distance vs. pace\")\n",
    "plt.xlabel(\"Distance\")\n",
    "plt.ylabel(\"Pace\")\n",
    "plt.legend()"
   ]
  },
  {
   "source": [
    "It still does not give us a clear trend, but it depicts that she really started to achieve better performance when she started to run longer distances (paces loweer then 6'20 when she started to run above 10km)."
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "Finally, let's see her performance evolution in pace over time in 5km, 10km and 15kms. For this analysis, I had to filter the session dataframe based on distances. In this tutorial, I will assume that the distances between 5km - 5.9km , 10km - 10.9km, 15km - 15.9km will be normalized as 5, 10 , 15km."
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "summary_without_outliers_5km = summary_without_outliers[summary_without_outliers['total_distance'].between(5000,5900)]\n",
    "summary_without_outliers_10km = summary_without_outliers[summary_without_outliers['total_distance'].between(10000,10900)]\n",
    "summary_without_outliers_15km = summary_without_outliers[summary_without_outliers['total_distance'].between(15000,15900)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 1296x1152 with 3 Axes>",
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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "fig, axs = plt.subplots(3, sharex=True, figsize=(18, 16))\n",
    "fig.suptitle('Average Moving Pace over time (5km, 10km, 15km)')\n",
    "\n",
    "axs[0].plot(summary_without_outliers_5km.index, summary_without_outliers_5km.mean_moving_pace_float, marker='*')\n",
    "axs[0].set_title('5km')\n",
    "\n",
    "axs[1].plot(summary_without_outliers_10km.index, summary_without_outliers_10km.mean_moving_pace_float, marker='*')\n",
    "axs[1].set_title('10km')\n",
    "\n",
    "\n",
    "axs[2].plot(summary_without_outliers_15km.index, summary_without_outliers_15km.mean_moving_pace_float, marker='*')\n",
    "axs[2].set_title('15km')\n",
    "\n",
    "plt.xlabel('Date')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "source": [
    "Her 5km got better until semptember 2020, but as she started to get greater distances, her performance got more slower. He 10km got better across 2021. Her 15km, since we only have one observation, there's no insight/trend there. "
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "## Conclusions"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "* So, as expected, no major insight. However, always running help he to improve her performance, in order to maintain or lower her pace.\n",
    "\n",
    "* She started to run greater distances with excelent paces, for instance the distance run of 15km with the moving pace 5'50.\n",
    "\n",
    "* There is no trend about her run distance vs pace. We believe that we need to collect more data to might see any new insights."
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "In this tutorial, we showed the possibilities of using `runpandas` python package to perform several type of running analysis assisted by visualization and data handling packages such as Matplotlib and pandas.  With the introduction of session feature, we now can analyse a group of activities and investigate new insights over time."
   ],
   "cell_type": "markdown",
   "metadata": {}
  }
 ]
}