Visualizacion.ipynb

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    {
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     "text": [
      "Collecting pandas\n",
      "  Downloading pandas-2.2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB)\n",
      "Collecting numpy>=1.23.2 (from pandas)\n",
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      "\u001b[?25hInstalling collected packages: tzdata, numpy, pandas\n",
      "Successfully installed numpy-1.26.4 pandas-2.2.2 tzdata-2024.1\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install pandas"
   ]
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   "execution_count": 2,
   "id": "199f2407-2b41-4d6b-acd5-62ed083b8b70",
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting deltalake\n",
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      "Installing collected packages: pyarrow-hotfix, pyarrow, deltalake\n",
      "Successfully installed deltalake-0.18.1 pyarrow-16.1.0 pyarrow-hotfix-0.6\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install deltalake"
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   "execution_count": 3,
   "id": "5534cec0-ff90-4eae-97fd-7cee74c4e268",
   "metadata": {},
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     "text": [
      "Collecting matplotlib\n",
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      "\u001b[?25hInstalling collected packages: pyparsing, pillow, kiwisolver, fonttools, cycler, contourpy, matplotlib\n",
      "Successfully installed contourpy-1.2.1 cycler-0.12.1 fonttools-4.53.0 kiwisolver-1.4.5 matplotlib-3.9.0 pillow-10.3.0 pyparsing-3.1.2\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install matplotlib"
   ]
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  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "97d7b579-9a46-449a-9b6f-7761e047e99e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "from deltalake import DeltaTable\n",
    "from deltalake.writer import write_deltalake\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "baa005ec-4209-4e31-9151-2733fa1ac53a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>subject_id</th>\n",
       "      <th>record_id</th>\n",
       "      <th>name</th>\n",
       "      <th>birth_year</th>\n",
       "      <th>illness_start_year</th>\n",
       "      <th>diagnosis</th>\n",
       "      <th>gender</th>\n",
       "      <th>dominant_hand</th>\n",
       "      <th>record_added_on</th>\n",
       "      <th>recorded_tasks</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6296bdc1c7f436d03067f20095e7a2f73366bce5765cb9...</td>\n",
       "      <td>e3ghdcb0gc808b193hfe29c75h97hh08h2gb193hfe2907...</td>\n",
       "      <td>Cindy Jones</td>\n",
       "      <td>1979</td>\n",
       "      <td>2007</td>\n",
       "      <td></td>\n",
       "      <td>female</td>\n",
       "      <td>right</td>\n",
       "      <td>1709821209693</td>\n",
       "      <td>[{'accelerometer_filename': 'd751e057926824f37...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2f73366bce5765cb958ffb6296bdc1c7f436d03067f200...</td>\n",
       "      <td>8b193hfe29c75h9e3ghdcb0gc807hh08h2gb193hfe2907...</td>\n",
       "      <td>Carmen Perez</td>\n",
       "      <td>1959</td>\n",
       "      <td>1967</td>\n",
       "      <td></td>\n",
       "      <td>female</td>\n",
       "      <td>right</td>\n",
       "      <td>1709821209693</td>\n",
       "      <td>[{'accelerometer_filename': 'd751e057926824f37...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>b6296bdc1c7f436d03067f20092f73366bce5765cb958f...</td>\n",
       "      <td>3ghdcb0g8b193hfe29c75h9ec807hh08h2gb193hfe2907...</td>\n",
       "      <td>Jaime Gutierrez</td>\n",
       "      <td>1949</td>\n",
       "      <td>1987</td>\n",
       "      <td></td>\n",
       "      <td>female</td>\n",
       "      <td>right</td>\n",
       "      <td>1709821209693</td>\n",
       "      <td>[{'accelerometer_filename': 'd751e057926824f37...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5765cb958ff5e7a95635b5577815b6296bdc1c7f436d03...</td>\n",
       "      <td>07hh08h2g3ghdcb0g8b193hfe29c75h9ec8b193hfe2907...</td>\n",
       "      <td>Maria Perez</td>\n",
       "      <td>1999</td>\n",
       "      <td>2015</td>\n",
       "      <td></td>\n",
       "      <td>female</td>\n",
       "      <td>right</td>\n",
       "      <td>1709821209693</td>\n",
       "      <td>[{'accelerometer_filename': 'd751e057926824f37...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>96bdc1c7f436d03067f20092f73366bc5765cb958ff5e7...</td>\n",
       "      <td>3hfe29c75h9e07hh08h2g3ghdcb0g8b19c8b193hfe2907...</td>\n",
       "      <td>Pedro Jimenez</td>\n",
       "      <td>1989</td>\n",
       "      <td>2010</td>\n",
       "      <td></td>\n",
       "      <td>male</td>\n",
       "      <td>right</td>\n",
       "      <td>1709821209693</td>\n",
       "      <td>[{'accelerometer_filename': 'd751e057926824f37...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "                                          subject_id  \\\n",
       "0  6296bdc1c7f436d03067f20095e7a2f73366bce5765cb9...   \n",
       "1  2f73366bce5765cb958ffb6296bdc1c7f436d03067f200...   \n",
       "2  b6296bdc1c7f436d03067f20092f73366bce5765cb958f...   \n",
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       "4  96bdc1c7f436d03067f20092f73366bc5765cb958ff5e7...   \n",
       "\n",
       "                                           record_id             name  \\\n",
       "0  e3ghdcb0gc808b193hfe29c75h97hh08h2gb193hfe2907...      Cindy Jones   \n",
       "1  8b193hfe29c75h9e3ghdcb0gc807hh08h2gb193hfe2907...     Carmen Perez   \n",
       "2  3ghdcb0g8b193hfe29c75h9ec807hh08h2gb193hfe2907...  Jaime Gutierrez   \n",
       "3  07hh08h2g3ghdcb0g8b193hfe29c75h9ec8b193hfe2907...      Maria Perez   \n",
       "4  3hfe29c75h9e07hh08h2g3ghdcb0g8b19c8b193hfe2907...    Pedro Jimenez   \n",
       "\n",
       "   birth_year  illness_start_year diagnosis  gender dominant_hand  \\\n",
       "0        1979                2007            female         right   \n",
       "1        1959                1967            female         right   \n",
       "2        1949                1987            female         right   \n",
       "3        1999                2015            female         right   \n",
       "4        1989                2010              male         right   \n",
       "\n",
       "  record_added_on                                     recorded_tasks  \n",
       "0   1709821209693  [{'accelerometer_filename': 'd751e057926824f37...  \n",
       "1   1709821209693  [{'accelerometer_filename': 'd751e057926824f37...  \n",
       "2   1709821209693  [{'accelerometer_filename': 'd751e057926824f37...  \n",
       "3   1709821209693  [{'accelerometer_filename': 'd751e057926824f37...  \n",
       "4   1709821209693  [{'accelerometer_filename': 'd751e057926824f37...  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = DeltaTable(\"/home/datalake/data/bronze_continuous_docker\").to_pandas()\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "abba754b-640a-47b6-91be-f7946c5b6c52",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  'isolationLevel': 'Serializable',\n",
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       "  'engineInfo': 'Apache-Spark/3.5.1 Delta-Lake/3.1.0',\n",
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      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dt = DeltaTable(\"/home/datalake/data/bronze_continuous_docker\")\n",
    "dt.history()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "3c88ac2b-4729-4544-ac98-21e4bd6c9427",
   "metadata": {},
   "outputs": [
    {
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       "      <td>07hh08h2g3ghdcb0g8b193hfe29c75h9ec8b193hfe2907...</td>\n",
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       "      <td>3hfe29c75h9e07hh08h2g3ghdcb0g8b19c8b193hfe2907...</td>\n",
       "      <td>Pedro Jimenez</td>\n",
       "      <td>1989</td>\n",
       "      <td>2010</td>\n",
       "      <td></td>\n",
       "      <td>male</td>\n",
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       "                                          subject_id  \\\n",
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       "4  96bdc1c7f436d03067f20092f73366bc5765cb958ff5e7...   \n",
       "\n",
       "                                           record_id             name  \\\n",
       "0  e3ghdcb0gc808b193hfe29c75h97hh08h2gb193hfe2907...      Cindy Jones   \n",
       "1  8b193hfe29c75h9e3ghdcb0gc807hh08h2gb193hfe2907...     Carmen Perez   \n",
       "2  3ghdcb0g8b193hfe29c75h9ec807hh08h2gb193hfe2907...  Jaime Gutierrez   \n",
       "3  07hh08h2g3ghdcb0g8b193hfe29c75h9ec8b193hfe2907...      Maria Perez   \n",
       "4  3hfe29c75h9e07hh08h2g3ghdcb0g8b19c8b193hfe2907...    Pedro Jimenez   \n",
       "\n",
       "   birth_year  illness_start_year diagnosis  gender dominant_hand  \\\n",
       "0        1979                2007            female         right   \n",
       "1        1959                1967            female         right   \n",
       "2        1949                1987            female         right   \n",
       "3        1999                2015            female         right   \n",
       "4        1989                2010              male         right   \n",
       "\n",
       "  record_added_on                                     recorded_tasks  \n",
       "0   1709821209693  [{'accelerometer_filename': 'd751e057926824f37...  \n",
       "1   1709821209693  [{'accelerometer_filename': 'd751e057926824f37...  \n",
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       "3   1709821209693  [{'accelerometer_filename': 'd751e057926824f37...  \n",
       "4   1709821209693  [{'accelerometer_filename': 'd751e057926824f37...  "
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     "execution_count": 16,
     "metadata": {},
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   ],
   "source": [
    "DeltaTable(\"/home/datalake/data/bronze_continuous_docker\", version=7).to_pandas()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a9e34031-71d0-4135-9d82-f00256bb18b4",
   "metadata": {},
   "outputs": [
    {
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       "      <td>Pedro Jimenez</td>\n",
       "      <td></td>\n",
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       "      <td>Maria Perez</td>\n",
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      "text/plain": [
       "                                          subject_id             name  \\\n",
       "0  3366bc5765cb958ff5e7a95635b5577815b96bdc1c7f43...     Lola Sanchez   \n",
       "1  96bdc1c7f436d03067f20092f73366bc5765cb958ff5e7...    Pedro Jimenez   \n",
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       "4  2f73366bce5765cb958ffb6296bdc1c7f436d03067f200...     Carmen Perez   \n",
       "5  5765cb958ff5e7a95635b5577815b6296bdc1c7f436d03...      Maria Perez   \n",
       "\n",
       "  diagnosis  birth_year  \n",
       "0                  1959  \n",
       "1                  1989  \n",
       "2                  1949  \n",
       "3                  1979  \n",
       "4                  1959  \n",
       "5                  1999  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df = DeltaTable(\"/home/datalake/data/SubjectsTable\").to_pandas()\n",
    "df"
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  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "04fa96db-4ce8-4129-8491-397bd0794769",
   "metadata": {},
   "outputs": [
    {
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       "                                          subject_id  \\\n",
       "0  96bdc1c7f436d03067f20092f73366bc5765cb958ff5e7...   \n",
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       "\n",
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       "1  3hfe29c75h9e07hh08h2g3ghdcb0g8b19c8b193hfe2907...  Pedro Jimenez   \n",
       "\n",
       "   birth_year  illness_start_year diagnosis gender dominant_hand  \\\n",
       "0        1989                2010             male          left   \n",
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       "\n",
       "  record_added_on  record_type  \n",
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       "1   1709821209693     Continuo  "
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    "DeltaTable(\"/home/datalake/data/Subjects/96bdc1c7f436d03067f20092f73366bc5765cb958ff5e7a95635b5577815b62e/Records\").to_pandas()"
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       "<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>accelerometer_filename</th>\n",
       "      <th>gyroscope_filename</th>\n",
       "      <th>accelerometer_values</th>\n",
       "      <th>gyroscope_values</th>\n",
       "      <th>task_id</th>\n",
       "      <th>task_name</th>\n",
       "      <th>starts_at</th>\n",
       "      <th>ends_at</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>d751e057926824f373fc229730a693d789c1248d9361de...</td>\n",
       "      <td>d751e057926824f373fc229730a693d789c1248d9361de...</td>\n",
       "      <td>x,y,z,timestamp 133,-6,-31,1696238570471 238,-...</td>\n",
       "      <td>x,y,z,timestamp 132,-6,-31,1696238570471 237,-...</td>\n",
       "      <td>SD</td>\n",
       "      <td>Beber</td>\n",
       "      <td>1709821384224</td>\n",
       "      <td>1709821393444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>d751e057926824f373fc229730a693d789c1248d9361de...</td>\n",
       "      <td>d751e057926824f373fc229730a693d789c1248d9361de...</td>\n",
       "      <td>x,y,z,timestamp 133,-6,-31,1696238570471 238,-...</td>\n",
       "      <td>x,y,z,timestamp 132,-6,-31,1696238570471 237,-...</td>\n",
       "      <td>SD</td>\n",
       "      <td>Beber</td>\n",
       "      <td>1709821414803</td>\n",
       "      <td>1709821421230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>d751e057926824f373fc229730a693d789c1248d9361de...</td>\n",
       "      <td>d751e057926824f373fc229730a693d789c1248d9361de...</td>\n",
       "      <td>x,y,z,timestamp 133,-6,-31,1696238570471 238,-...</td>\n",
       "      <td>x,y,z,timestamp 132,-6,-31,1696238570471 237,-...</td>\n",
       "      <td>SD</td>\n",
       "      <td>Beber</td>\n",
       "      <td>1709821442391</td>\n",
       "      <td>1709821458510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>d751e057926824f373fc229730a693d789c1248d9361de...</td>\n",
       "      <td>d751e057926824f373fc229730a693d789c1248d9361de...</td>\n",
       "      <td>x,y,z,timestamp 133,-6,-31,1696238570471 238,-...</td>\n",
       "      <td>x,y,z,timestamp 132,-6,-31,1696238570471 237,-...</td>\n",
       "      <td>SD</td>\n",
       "      <td>Beber</td>\n",
       "      <td>1709821465535</td>\n",
       "      <td>1709821472342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>d751e057926824f373fc229730a693d789c1248d9361de...</td>\n",
       "      <td>d751e057926824f373fc229730a693d789c1248d9361de...</td>\n",
       "      <td>x,y,z,timestamp 133,-6,-31,1696238570471 238,-...</td>\n",
       "      <td>x,y,z,timestamp 132,-6,-31,1696238570471 237,-...</td>\n",
       "      <td>TB</td>\n",
       "      <td>Pasar pagina</td>\n",
       "      <td>1709821494473</td>\n",
       "      <td>1709821503905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>d751e057926824f373fc229730a693d789c1248d9361de...</td>\n",
       "      <td>d751e057926824f373fc229730a693d789c1248d9361de...</td>\n",
       "      <td>x,y,z,timestamp 133,-6,-31,1696238570471 238,-...</td>\n",
       "      <td>x,y,z,timestamp 132,-6,-31,1696238570471 237,-...</td>\n",
       "      <td>SN</td>\n",
       "      <td>Escribir</td>\n",
       "      <td>1709821511151</td>\n",
       "      <td>1709821526459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>d751e057926824f373fc229730a693d789c1248d9361de...</td>\n",
       "      <td>d751e057926824f373fc229730a693d789c1248d9361de...</td>\n",
       "      <td>x,y,z,timestamp 133,-6,-31,1696238570471 238,-...</td>\n",
       "      <td>x,y,z,timestamp 132,-6,-31,1696238570471 237,-...</td>\n",
       "      <td>SN</td>\n",
       "      <td>Escribir</td>\n",
       "      <td>1709821531521</td>\n",
       "      <td>1709821547173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>d751e057926824f373fc229730a693d789c1248d9361de...</td>\n",
       "      <td>d751e057926824f373fc229730a693d789c1248d9361de...</td>\n",
       "      <td>x,y,z,timestamp 133,-6,-31,1696238570471 238,-...</td>\n",
       "      <td>x,y,z,timestamp 132,-6,-31,1696238570471 237,-...</td>\n",
       "      <td>SD</td>\n",
       "      <td>Beber</td>\n",
       "      <td>1709821550796</td>\n",
       "      <td>1709821556633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>d751e057926824f373fc229730a693d789c1248d9361de...</td>\n",
       "      <td>d751e057926824f373fc229730a693d789c1248d9361de...</td>\n",
       "      <td>x,y,z,timestamp 133,-6,-31,1696238570471 238,-...</td>\n",
       "      <td>x,y,z,timestamp 132,-6,-31,1696238570471 237,-...</td>\n",
       "      <td>SD</td>\n",
       "      <td>Beber</td>\n",
       "      <td>1709821559973</td>\n",
       "      <td>1709821564513</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              accelerometer_filename  \\\n",
       "0  d751e057926824f373fc229730a693d789c1248d9361de...   \n",
       "1  d751e057926824f373fc229730a693d789c1248d9361de...   \n",
       "2  d751e057926824f373fc229730a693d789c1248d9361de...   \n",
       "3  d751e057926824f373fc229730a693d789c1248d9361de...   \n",
       "4  d751e057926824f373fc229730a693d789c1248d9361de...   \n",
       "5  d751e057926824f373fc229730a693d789c1248d9361de...   \n",
       "6  d751e057926824f373fc229730a693d789c1248d9361de...   \n",
       "7  d751e057926824f373fc229730a693d789c1248d9361de...   \n",
       "8  d751e057926824f373fc229730a693d789c1248d9361de...   \n",
       "\n",
       "                                  gyroscope_filename  \\\n",
       "0  d751e057926824f373fc229730a693d789c1248d9361de...   \n",
       "1  d751e057926824f373fc229730a693d789c1248d9361de...   \n",
       "2  d751e057926824f373fc229730a693d789c1248d9361de...   \n",
       "3  d751e057926824f373fc229730a693d789c1248d9361de...   \n",
       "4  d751e057926824f373fc229730a693d789c1248d9361de...   \n",
       "5  d751e057926824f373fc229730a693d789c1248d9361de...   \n",
       "6  d751e057926824f373fc229730a693d789c1248d9361de...   \n",
       "7  d751e057926824f373fc229730a693d789c1248d9361de...   \n",
       "8  d751e057926824f373fc229730a693d789c1248d9361de...   \n",
       "\n",
       "                                accelerometer_values  \\\n",
       "0  x,y,z,timestamp 133,-6,-31,1696238570471 238,-...   \n",
       "1  x,y,z,timestamp 133,-6,-31,1696238570471 238,-...   \n",
       "2  x,y,z,timestamp 133,-6,-31,1696238570471 238,-...   \n",
       "3  x,y,z,timestamp 133,-6,-31,1696238570471 238,-...   \n",
       "4  x,y,z,timestamp 133,-6,-31,1696238570471 238,-...   \n",
       "5  x,y,z,timestamp 133,-6,-31,1696238570471 238,-...   \n",
       "6  x,y,z,timestamp 133,-6,-31,1696238570471 238,-...   \n",
       "7  x,y,z,timestamp 133,-6,-31,1696238570471 238,-...   \n",
       "8  x,y,z,timestamp 133,-6,-31,1696238570471 238,-...   \n",
       "\n",
       "                                    gyroscope_values task_id     task_name  \\\n",
       "0  x,y,z,timestamp 132,-6,-31,1696238570471 237,-...      SD         Beber   \n",
       "1  x,y,z,timestamp 132,-6,-31,1696238570471 237,-...      SD         Beber   \n",
       "2  x,y,z,timestamp 132,-6,-31,1696238570471 237,-...      SD         Beber   \n",
       "3  x,y,z,timestamp 132,-6,-31,1696238570471 237,-...      SD         Beber   \n",
       "4  x,y,z,timestamp 132,-6,-31,1696238570471 237,-...      TB  Pasar pagina   \n",
       "5  x,y,z,timestamp 132,-6,-31,1696238570471 237,-...      SN      Escribir   \n",
       "6  x,y,z,timestamp 132,-6,-31,1696238570471 237,-...      SN      Escribir   \n",
       "7  x,y,z,timestamp 132,-6,-31,1696238570471 237,-...      SD         Beber   \n",
       "8  x,y,z,timestamp 132,-6,-31,1696238570471 237,-...      SD         Beber   \n",
       "\n",
       "       starts_at        ends_at  \n",
       "0  1709821384224  1709821393444  \n",
       "1  1709821414803  1709821421230  \n",
       "2  1709821442391  1709821458510  \n",
       "3  1709821465535  1709821472342  \n",
       "4  1709821494473  1709821503905  \n",
       "5  1709821511151  1709821526459  \n",
       "6  1709821531521  1709821547173  \n",
       "7  1709821550796  1709821556633  \n",
       "8  1709821559973  1709821564513  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DeltaTable(\"/home/datalake/data/Subjects/96bdc1c7f436d03067f20092f73366bc5765cb958ff5e7a95635b5577815b62e/Tasks/3hfe29c75h9e07hh08h2g3ghdcb0g8b19c8b193hfe2907hh08c8b1\").to_pandas()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f0c9c7b5-45ce-4458-87e2-36c4f16b0875",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "birth_year_counts = df['birth_year'].value_counts()\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "birth_year_counts.plot(kind='bar', color='skyblue')\n",
    "plt.xlabel('Año de nacimiento')\n",
    "plt.ylabel('Frecuencia')\n",
    "plt.title('Años de nacimiento de los sujetos')\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b7798958-c15f-47b1-b74d-5616f0ed6af4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['2f73366bce5765cb958ffb6296bdc1c7f436d03067f20095e7a95635b5577815', '3366bc5765cb958ff5e7a95635b5577815b96bdc1c7f436d03067f20092f762e', '5765cb958ff5e7a95635b5577815b6296bdc1c7f436d03067f20092f73366bce', '6296bdc1c7f436d03067f20095e7a2f73366bce5765cb958ffb95635b5577815', '96bdc1c7f436d03067f20092f73366bc5765cb958ff5e7a95635b5577815b62e', 'b6296bdc1c7f436d03067f20092f73366bce5765cb958ff5e7a95635b5577815']\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>subject_id</th>\n",
       "      <th>record_id</th>\n",
       "      <th>name</th>\n",
       "      <th>birth_year</th>\n",
       "      <th>illness_start_year</th>\n",
       "      <th>diagnosis</th>\n",
       "      <th>gender</th>\n",
       "      <th>dominant_hand</th>\n",
       "      <th>record_added_on</th>\n",
       "      <th>recorded_tasks</th>\n",
       "      <th>record_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2f73366bce5765cb958ffb6296bdc1c7f436d03067f200...</td>\n",
       "      <td>8b193hfe29c75h9e3ghdcb0gc807hh08h2gb193hfe2907...</td>\n",
       "      <td>Carmen Perez</td>\n",
       "      <td>1959</td>\n",
       "      <td>1967</td>\n",
       "      <td></td>\n",
       "      <td>female</td>\n",
       "      <td>right</td>\n",
       "      <td>1709821209693</td>\n",
       "      <td>[{'accelerometer_filename': 'd751e057926824f37...</td>\n",
       "      <td>Continuo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5765cb958ff5e7a95635b5577815b6296bdc1c7f436d03...</td>\n",
       "      <td>07hh08h2g3ghdcb0g8b193hfe29c75h9ec8b193hfe2907...</td>\n",
       "      <td>Maria Perez</td>\n",
       "      <td>1999</td>\n",
       "      <td>2015</td>\n",
       "      <td></td>\n",
       "      <td>female</td>\n",
       "      <td>right</td>\n",
       "      <td>1709821209693</td>\n",
       "      <td>[{'accelerometer_filename': 'd751e057926824f37...</td>\n",
       "      <td>Continuo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6296bdc1c7f436d03067f20095e7a2f73366bce5765cb9...</td>\n",
       "      <td>e3ghdcb0gc808b193hfe29c75h97hh08h2gb193hfe2907...</td>\n",
       "      <td>Cindy Jones</td>\n",
       "      <td>1979</td>\n",
       "      <td>2007</td>\n",
       "      <td></td>\n",
       "      <td>female</td>\n",
       "      <td>right</td>\n",
       "      <td>1709821209693</td>\n",
       "      <td>[{'accelerometer_filename': 'd751e057926824f37...</td>\n",
       "      <td>Continuo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>96bdc1c7f436d03067f20092f73366bc5765cb958ff5e7...</td>\n",
       "      <td>3hfe29c75h9e07hh08h2g3ghdcb0g8b19c8b193hfe2907...</td>\n",
       "      <td>Pedro Jimenez</td>\n",
       "      <td>1989</td>\n",
       "      <td>2010</td>\n",
       "      <td></td>\n",
       "      <td>male</td>\n",
       "      <td>right</td>\n",
       "      <td>1709821209693</td>\n",
       "      <td>[{'accelerometer_filename': 'd751e057926824f37...</td>\n",
       "      <td>Continuo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>b6296bdc1c7f436d03067f20092f73366bce5765cb958f...</td>\n",
       "      <td>3ghdcb0g8b193hfe29c75h9ec807hh08h2gb193hfe2907...</td>\n",
       "      <td>Jaime Gutierrez</td>\n",
       "      <td>1949</td>\n",
       "      <td>1987</td>\n",
       "      <td></td>\n",
       "      <td>female</td>\n",
       "      <td>right</td>\n",
       "      <td>1709821209693</td>\n",
       "      <td>[{'accelerometer_filename': 'd751e057926824f37...</td>\n",
       "      <td>Continuo</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          subject_id  \\\n",
       "0  2f73366bce5765cb958ffb6296bdc1c7f436d03067f200...   \n",
       "1  5765cb958ff5e7a95635b5577815b6296bdc1c7f436d03...   \n",
       "2  6296bdc1c7f436d03067f20095e7a2f73366bce5765cb9...   \n",
       "3  96bdc1c7f436d03067f20092f73366bc5765cb958ff5e7...   \n",
       "4  b6296bdc1c7f436d03067f20092f73366bce5765cb958f...   \n",
       "\n",
       "                                           record_id             name  \\\n",
       "0  8b193hfe29c75h9e3ghdcb0gc807hh08h2gb193hfe2907...     Carmen Perez   \n",
       "1  07hh08h2g3ghdcb0g8b193hfe29c75h9ec8b193hfe2907...      Maria Perez   \n",
       "2  e3ghdcb0gc808b193hfe29c75h97hh08h2gb193hfe2907...      Cindy Jones   \n",
       "3  3hfe29c75h9e07hh08h2g3ghdcb0g8b19c8b193hfe2907...    Pedro Jimenez   \n",
       "4  3ghdcb0g8b193hfe29c75h9ec807hh08h2gb193hfe2907...  Jaime Gutierrez   \n",
       "\n",
       "   birth_year  illness_start_year diagnosis  gender dominant_hand  \\\n",
       "0        1959                1967            female         right   \n",
       "1        1999                2015            female         right   \n",
       "2        1979                2007            female         right   \n",
       "3        1989                2010              male         right   \n",
       "4        1949                1987            female         right   \n",
       "\n",
       "  record_added_on                                     recorded_tasks  \\\n",
       "0   1709821209693  [{'accelerometer_filename': 'd751e057926824f37...   \n",
       "1   1709821209693  [{'accelerometer_filename': 'd751e057926824f37...   \n",
       "2   1709821209693  [{'accelerometer_filename': 'd751e057926824f37...   \n",
       "3   1709821209693  [{'accelerometer_filename': 'd751e057926824f37...   \n",
       "4   1709821209693  [{'accelerometer_filename': 'd751e057926824f37...   \n",
       "\n",
       "  record_type  \n",
       "0    Continuo  \n",
       "1    Continuo  \n",
       "2    Continuo  \n",
       "3    Continuo  \n",
       "4    Continuo  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Lista todos los archivos en el directorio de Subjects\n",
    "subject_directory = \"/home/datalake/data/Subjects\"\n",
    "subject_ids = [name for name in os.listdir(subject_directory) if os.path.isdir(os.path.join(subject_directory, name))]\n",
    "print(subject_ids)\n",
    "# Inicializar una lista para almacenar los DataFrames\n",
    "dataframes = []\n",
    "# Iterar sobre cada subject ID\n",
    "for subject_id in subject_ids:\n",
    "    try:\n",
    "        # Construir la ruta a la tabla Delta del sujeto\n",
    "        delta_table_path = os.path.join(subject_directory, subject_id, \"Continuo\")\n",
    "        # Verificar si la ruta existe y es un directorio\n",
    "        if os.path.exists(delta_table_path) and os.path.isdir(delta_table_path):\n",
    "            df = DeltaTable(f\"/home/datalake/data/Subjects/{subject_id}/Continuo\").to_pandas()\n",
    "            dataframes.append(df)\n",
    "    except Exception as e:\n",
    "        print(f\"Error al procesar el subject ID {subject_id}: {e}\")\n",
    "\n",
    "# Concatenar todos los DataFrames en uno solo\n",
    "final_df = pd.concat(dataframes, ignore_index=True)\n",
    "# Mostrar el DataFrame con todos los records continuos\n",
    "final_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "e9d804ec-54e0-4607-a7e2-23370dfcc6ed",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "El archivo /home/datalake/data/Subjects/2f73366bce5765cb958ffb6296bdc1c7f436d03067f20095e7a95635b5577815/Tasks/07hh08h2g3ghdcb0g8b193hfe29c75h9ec8b193hfe2907hh08c8b1 no existe para el subject ID 2f73366bce5765cb958ffb6296bdc1c7f436d03067f20095e7a95635b5577815.\n",
      "El archivo /home/datalake/data/Subjects/2f73366bce5765cb958ffb6296bdc1c7f436d03067f20095e7a95635b5577815/Tasks/e3ghdcb0gc808b193hfe29c75h97hh08h2gb193hfe2907hh08c8b1 no existe para el subject ID 2f73366bce5765cb958ffb6296bdc1c7f436d03067f20095e7a95635b5577815.\n",
      "El archivo /home/datalake/data/Subjects/2f73366bce5765cb958ffb6296bdc1c7f436d03067f20095e7a95635b5577815/Tasks/3hfe29c75h9e07hh08h2g3ghdcb0g8b19c8b193hfe2907hh08c8b1 no existe para el subject ID 2f73366bce5765cb958ffb6296bdc1c7f436d03067f20095e7a95635b5577815.\n",
      "El archivo /home/datalake/data/Subjects/2f73366bce5765cb958ffb6296bdc1c7f436d03067f20095e7a95635b5577815/Tasks/3ghdcb0g8b193hfe29c75h9ec807hh08h2gb193hfe2907hh08c8b1 no existe para el subject ID 2f73366bce5765cb958ffb6296bdc1c7f436d03067f20095e7a95635b5577815.\n",
      "El archivo /home/datalake/data/Subjects/3366bc5765cb958ff5e7a95635b5577815b96bdc1c7f436d03067f20092f762e/Tasks/8b193hfe29c75h9e3ghdcb0gc807hh08h2gb193hfe2907hh08c8b1 no existe para el subject ID 3366bc5765cb958ff5e7a95635b5577815b96bdc1c7f436d03067f20092f762e.\n",
      "El archivo /home/datalake/data/Subjects/3366bc5765cb958ff5e7a95635b5577815b96bdc1c7f436d03067f20092f762e/Tasks/07hh08h2g3ghdcb0g8b193hfe29c75h9ec8b193hfe2907hh08c8b1 no existe para el subject ID 3366bc5765cb958ff5e7a95635b5577815b96bdc1c7f436d03067f20092f762e.\n",
      "El archivo /home/datalake/data/Subjects/3366bc5765cb958ff5e7a95635b5577815b96bdc1c7f436d03067f20092f762e/Tasks/e3ghdcb0gc808b193hfe29c75h97hh08h2gb193hfe2907hh08c8b1 no existe para el subject ID 3366bc5765cb958ff5e7a95635b5577815b96bdc1c7f436d03067f20092f762e.\n",
      "El archivo /home/datalake/data/Subjects/3366bc5765cb958ff5e7a95635b5577815b96bdc1c7f436d03067f20092f762e/Tasks/3hfe29c75h9e07hh08h2g3ghdcb0g8b19c8b193hfe2907hh08c8b1 no existe para el subject ID 3366bc5765cb958ff5e7a95635b5577815b96bdc1c7f436d03067f20092f762e.\n",
      "El archivo /home/datalake/data/Subjects/3366bc5765cb958ff5e7a95635b5577815b96bdc1c7f436d03067f20092f762e/Tasks/3ghdcb0g8b193hfe29c75h9ec807hh08h2gb193hfe2907hh08c8b1 no existe para el subject ID 3366bc5765cb958ff5e7a95635b5577815b96bdc1c7f436d03067f20092f762e.\n",
      "El archivo /home/datalake/data/Subjects/5765cb958ff5e7a95635b5577815b6296bdc1c7f436d03067f20092f73366bce/Tasks/8b193hfe29c75h9e3ghdcb0gc807hh08h2gb193hfe2907hh08c8b1 no existe para el subject ID 5765cb958ff5e7a95635b5577815b6296bdc1c7f436d03067f20092f73366bce.\n",
      "El archivo /home/datalake/data/Subjects/5765cb958ff5e7a95635b5577815b6296bdc1c7f436d03067f20092f73366bce/Tasks/e3ghdcb0gc808b193hfe29c75h97hh08h2gb193hfe2907hh08c8b1 no existe para el subject ID 5765cb958ff5e7a95635b5577815b6296bdc1c7f436d03067f20092f73366bce.\n",
      "El archivo /home/datalake/data/Subjects/5765cb958ff5e7a95635b5577815b6296bdc1c7f436d03067f20092f73366bce/Tasks/3hfe29c75h9e07hh08h2g3ghdcb0g8b19c8b193hfe2907hh08c8b1 no existe para el subject ID 5765cb958ff5e7a95635b5577815b6296bdc1c7f436d03067f20092f73366bce.\n",
      "El archivo /home/datalake/data/Subjects/5765cb958ff5e7a95635b5577815b6296bdc1c7f436d03067f20092f73366bce/Tasks/3ghdcb0g8b193hfe29c75h9ec807hh08h2gb193hfe2907hh08c8b1 no existe para el subject ID 5765cb958ff5e7a95635b5577815b6296bdc1c7f436d03067f20092f73366bce.\n",
      "El archivo /home/datalake/data/Subjects/6296bdc1c7f436d03067f20095e7a2f73366bce5765cb958ffb95635b5577815/Tasks/8b193hfe29c75h9e3ghdcb0gc807hh08h2gb193hfe2907hh08c8b1 no existe para el subject ID 6296bdc1c7f436d03067f20095e7a2f73366bce5765cb958ffb95635b5577815.\n",
      "El archivo /home/datalake/data/Subjects/6296bdc1c7f436d03067f20095e7a2f73366bce5765cb958ffb95635b5577815/Tasks/07hh08h2g3ghdcb0g8b193hfe29c75h9ec8b193hfe2907hh08c8b1 no existe para el subject ID 6296bdc1c7f436d03067f20095e7a2f73366bce5765cb958ffb95635b5577815.\n",
      "El archivo /home/datalake/data/Subjects/6296bdc1c7f436d03067f20095e7a2f73366bce5765cb958ffb95635b5577815/Tasks/3hfe29c75h9e07hh08h2g3ghdcb0g8b19c8b193hfe2907hh08c8b1 no existe para el subject ID 6296bdc1c7f436d03067f20095e7a2f73366bce5765cb958ffb95635b5577815.\n",
      "El archivo /home/datalake/data/Subjects/6296bdc1c7f436d03067f20095e7a2f73366bce5765cb958ffb95635b5577815/Tasks/3ghdcb0g8b193hfe29c75h9ec807hh08h2gb193hfe2907hh08c8b1 no existe para el subject ID 6296bdc1c7f436d03067f20095e7a2f73366bce5765cb958ffb95635b5577815.\n",
      "El archivo /home/datalake/data/Subjects/96bdc1c7f436d03067f20092f73366bc5765cb958ff5e7a95635b5577815b62e/Tasks/8b193hfe29c75h9e3ghdcb0gc807hh08h2gb193hfe2907hh08c8b1 no existe para el subject ID 96bdc1c7f436d03067f20092f73366bc5765cb958ff5e7a95635b5577815b62e.\n",
      "El archivo /home/datalake/data/Subjects/96bdc1c7f436d03067f20092f73366bc5765cb958ff5e7a95635b5577815b62e/Tasks/07hh08h2g3ghdcb0g8b193hfe29c75h9ec8b193hfe2907hh08c8b1 no existe para el subject ID 96bdc1c7f436d03067f20092f73366bc5765cb958ff5e7a95635b5577815b62e.\n",
      "El archivo /home/datalake/data/Subjects/96bdc1c7f436d03067f20092f73366bc5765cb958ff5e7a95635b5577815b62e/Tasks/e3ghdcb0gc808b193hfe29c75h97hh08h2gb193hfe2907hh08c8b1 no existe para el subject ID 96bdc1c7f436d03067f20092f73366bc5765cb958ff5e7a95635b5577815b62e.\n",
      "El archivo /home/datalake/data/Subjects/96bdc1c7f436d03067f20092f73366bc5765cb958ff5e7a95635b5577815b62e/Tasks/3ghdcb0g8b193hfe29c75h9ec807hh08h2gb193hfe2907hh08c8b1 no existe para el subject ID 96bdc1c7f436d03067f20092f73366bc5765cb958ff5e7a95635b5577815b62e.\n",
      "El archivo /home/datalake/data/Subjects/b6296bdc1c7f436d03067f20092f73366bce5765cb958ff5e7a95635b5577815/Tasks/8b193hfe29c75h9e3ghdcb0gc807hh08h2gb193hfe2907hh08c8b1 no existe para el subject ID b6296bdc1c7f436d03067f20092f73366bce5765cb958ff5e7a95635b5577815.\n",
      "El archivo /home/datalake/data/Subjects/b6296bdc1c7f436d03067f20092f73366bce5765cb958ff5e7a95635b5577815/Tasks/07hh08h2g3ghdcb0g8b193hfe29c75h9ec8b193hfe2907hh08c8b1 no existe para el subject ID b6296bdc1c7f436d03067f20092f73366bce5765cb958ff5e7a95635b5577815.\n",
      "El archivo /home/datalake/data/Subjects/b6296bdc1c7f436d03067f20092f73366bce5765cb958ff5e7a95635b5577815/Tasks/e3ghdcb0gc808b193hfe29c75h97hh08h2gb193hfe2907hh08c8b1 no existe para el subject ID b6296bdc1c7f436d03067f20092f73366bce5765cb958ff5e7a95635b5577815.\n",
      "El archivo /home/datalake/data/Subjects/b6296bdc1c7f436d03067f20092f73366bce5765cb958ff5e7a95635b5577815/Tasks/3hfe29c75h9e07hh08h2g3ghdcb0g8b19c8b193hfe2907hh08c8b1 no existe para el subject ID b6296bdc1c7f436d03067f20092f73366bce5765cb958ff5e7a95635b5577815.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>accelerometer_filename</th>\n",
       "      <th>gyroscope_filename</th>\n",
       "      <th>accelerometer_values</th>\n",
       "      <th>gyroscope_values</th>\n",
       "      <th>task_id</th>\n",
       "      <th>task_name</th>\n",
       "      <th>starts_at</th>\n",
       "      <th>ends_at</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>d751e057926824f373fc229730a693d789c1248d9361de...</td>\n",
       "      <td>d751e057926824f373fc229730a693d789c1248d9361de...</td>\n",
       "      <td>x,y,z,timestamp 133,-6,-31,1696238570471 238,-...</td>\n",
       "      <td>x,y,z,timestamp 132,-6,-31,1696238570471 237,-...</td>\n",
       "      <td>SD</td>\n",
       "      <td>Beber</td>\n",
       "      <td>1709821384224</td>\n",
       "      <td>1709821393444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   accelerometer_filename  \\\n",
       "count                                                  45   \n",
       "unique                                                  1   \n",
       "top     d751e057926824f373fc229730a693d789c1248d9361de...   \n",
       "freq                                                   45   \n",
       "\n",
       "                                       gyroscope_filename  \\\n",
       "count                                                  45   \n",
       "unique                                                  1   \n",
       "top     d751e057926824f373fc229730a693d789c1248d9361de...   \n",
       "freq                                                   45   \n",
       "\n",
       "                                     accelerometer_values  \\\n",
       "count                                                  45   \n",
       "unique                                                  1   \n",
       "top     x,y,z,timestamp 133,-6,-31,1696238570471 238,-...   \n",
       "freq                                                   45   \n",
       "\n",
       "                                         gyroscope_values task_id task_name  \\\n",
       "count                                                  45      45        45   \n",
       "unique                                                  1       3         3   \n",
       "top     x,y,z,timestamp 132,-6,-31,1696238570471 237,-...      SD     Beber   \n",
       "freq                                                   45      30        30   \n",
       "\n",
       "            starts_at        ends_at  \n",
       "count              45             45  \n",
       "unique              9              9  \n",
       "top     1709821384224  1709821393444  \n",
       "freq                5              5  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "continuous_record_ids = final_df['record_id']\n",
    "file_paths = []\n",
    "\n",
    "# Iterar sobre cada subject ID\n",
    "for subject_id in subject_ids:\n",
    "    # Construir la ruta al directorio Tasks del sujeto\n",
    "    task_directory = os.path.join(subject_directory, subject_id, \"Tasks\")\n",
    "    \n",
    "    # Verificar si el directorio Tasks existe\n",
    "    if os.path.exists(task_directory) and os.path.isdir(task_directory):\n",
    "        # Iterar sobre cada continuous_record_id\n",
    "        for record_id in continuous_record_ids:\n",
    "            # Construir la ruta al archivo usando subject_id y record_id\n",
    "            file_path = os.path.join(task_directory, str(record_id))\n",
    "            \n",
    "            # Verificar si el archivo existe\n",
    "            if os.path.exists(file_path):\n",
    "                df = DeltaTable(f\"/home/datalake/data/Subjects/{subject_id}/Tasks/{record_id}\").to_pandas()\n",
    "                file_paths.append(df)\n",
    "            else:\n",
    "                print(f\"El archivo {file_path} no existe para el subject ID {subject_id}.\")\n",
    "    else:\n",
    "        print(f\"El directorio {task_directory} no existe o no es un directorio válido para el subject ID {subject_id}.\")\n",
    "\n",
    "# Mostrar las rutas de los archivos encontrados\n",
    "continuos_df = pd.concat(file_paths, ignore_index=True)\n",
    "continuos_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "e9ed3763-d7f8-49da-9d55-fe2c3b947cca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Ef1F69OiRUqmU1VdfvfyPVIuzuLjv1q1bXnjhhcyfP7/O0e5XX321/PgCTZo0yYABAzJgwIDMnz8/xx9/fH71q1/lzDPPXOjbAgAsGV8vB2CRFhxVK5VK5WXTpk1bZAgvzne+852MGTMmDzzwwEKPTZ06NfPmzSvvq6qqqs6RvwkTJuTuu++u85wPP/xwoe0suGp4fb7O27Bhw+y77775/e9/nxdffHGhx99777066yZ134+nnnoqY8aMWer9zpgxI3vvvXe+8Y1v5KabblpkLC3pe7LLLrskSa644oo6y//zyvD/uc3/nD9JrrzyyoWOuH7wwQd17rds2TI9e/Zc4vf42muvrXN+89VXX5158+aVZ91hhx3SpEmTXHHFFXXmuf766zNt2rRFXnm9vhaE/mffj0suuSRJyvv66KOPFnpvluTv1pI8r1u3bmnYsGGdaxgk//7JtC+yzz77pGHDhhk2bNhC+ymVSnX+rFq0aLHIUx123XXXTJ48Obfeemt52bx583LllVemZcuW6devX5KF/9wbNGhQ/qbHsvq6PMDXkSPdACzSTjvtVD7qdcwxx2TGjBm57rrr0r59+0yaNGmJtnHaaaflD3/4Q3bfffcMHjw4ffr0ycyZM/PXv/41d9xxRyZMmJC2bdtmt912yyWXXJKdd945Bx10UN5999388pe/TM+ePeucS3zuuefmsccey2677ZZu3brl3XffzVVXXZXVVlstW221Vb1e54UXXphHH300m2++eY466qisu+66+fDDD/Pss8/moYceKof+7rvvnjvvvDN77713dtttt7z11lu55pprsu6662bGjBlLtc9hw4bl5ZdfzhlnnJF77rmnzmM9evRI3759l/g92WijjTJw4MBcddVVmTZtWrbccss8/PDDeeONNxba7+67756bb745tbW1WXfddTNmzJg89NBDWXXVVeust+6662bbbbdNnz590qZNm4wdOzZ33HFHTjjhhCV6fXPmzMn222+f73znOxk/fnyuuuqqbLXVVtljjz2S/PsbBkOHDs2wYcOy8847Z4899iivt9lmm+WQQw5Zqvfz82y44YYZNGhQrr322kydOjX9+vXL//7v/+amm27KXnvtVT4if9NNN+Wqq67K3nvvnR49euTjjz/Oddddl5qamnK4L8qSPK+2tjb7779/rrzyylRVVaVHjx659957l+h87B49euQnP/lJhg4dmgkTJmSvvfZKq1at8tZbb+Wuu+7K0Ucfne9///tJkj59+uTWW2/Nqaeems022ywtW7bMgAEDcvTRR+dXv/pVBg8enGeeeSbdu3fPHXfckccffzyXXXZZWrVqleTfP6324YcfZrvttstqq62Wt99+O1deeWU22mijOt8SAGApVeai6QAsbxb1k2F/+MMfSr179y41bdq01L1799JPf/rT0g033LDQz19169ZtsT8x9fHHH5eGDh1a6tmzZ6lJkyaltm3blrbccsvSxRdfXOdnpa6//vpSr169StXV1aW11167NGLEiIV+Punhhx8u7bnnnqXOnTuXmjRpUurcuXNp4MCBC/0k2aIkKQ0ZMmSRj02ZMqU0ZMiQUpcuXUqNGzcudezYsbT99tuXrr322vI68+fPL11wwQWlbt26laqrq0sbb7xx6d577y0NGjRooZ9pyhf8ZNigQYNKSRZ5GzRo0FK9J6VSqfSvf/2rdNJJJ5VWXXXVUosWLUoDBgwovfPOOwvN8dFHH5UOO+ywUtu2bUstW7Ys9e/fv/Tqq6+WunXrVme/P/nJT0rf/OY3S61bty41a9astPbaa5fOP//8On9ei7LgdY4ePbp09NFHl1ZZZZVSy5YtSwcffHDpgw8+WGj9X/ziF6W111671Lhx41KHDh1Kxx13XOmjjz6qs06/fv1K66233ufu9z8t6v2ZO3duadiwYaXVV1+91Lhx41KXLl1KQ4cOLc2aNau8zrPPPlsaOHBgqWvXrqXq6upS+/btS7vvvntp7Nixn7u/JX3ee++9V9p3331LzZs3L62yyiqlY445pvTiiy9+4U+GLfD73/++tNVWW5VatGhRatGiRWnttdcuDRkypDR+/PjyOjNmzCgddNBBpdatW5eS1Pl7OWXKlPKffZMmTUobbLBBnf2WSqXSHXfcUdppp51K7du3LzVp0qTUtWvX0jHHHFOaNGnS574HAHy+qlLpM99VAgCohxtvvDGHHXZYnn766Wy66aaVHmeFdOaZZ2b48OHlUy8AWPE5pxsAYDkxadKktG3bttJjALAMOacbAKDC/va3v+Wuu+7K7bffnt13373S4wCwDDnSDQBQYY899liGDRuWfv36la+sDsDKwTndAAAAUBBHugEAAKAgohsAAAAKstJfSG3+/Pn55z//mVatWqWqqqrS4wAAALASKJVK+fjjj9O5c+c0aLD449krfXT/85//TJcuXSo9BgAAACuhd955J6utttpiH1/po7tVq1ZJ/v1G1NTUVHgaAAAAVgbTp09Ply5dys25OCt9dC/4SnlNTY3oBgAAYJn6otOYXUgNAAAACiK6AQAAoCCiGwAAAAoiugEAAKAgohsAAAAKIroBAACgIKIbAAAACiK6AQAAoCCiGwAAAAoiugEAAKAgohsAAAAKIroBAACgIKIbAAAACiK6AQAAoCCiGwAAAAoiugEAAKAgFY3uq6++Or17905NTU1qamrSt2/f3HfffeXHZ82alSFDhmTVVVdNy5Yts++++2bKlCkVnBgAAACWXEWje7XVVsuFF16YZ555JmPHjs12222XPffcMy+99FKS5JRTTskf//jH3H777Rk9enT++c9/Zp999qnkyAAAALDEqkqlUqnSQ/ynNm3a5Gc/+1n222+/tGvXLiNHjsx+++2XJHn11VezzjrrZMyYMdliiy2WaHvTp09PbW1tpk2blpqamiJHBwAA4GtiSVtzuTmn+9NPP80tt9ySmTNnpm/fvnnmmWcyd+7c7LDDDuV11l577XTt2jVjxoyp4KQAAACwZBpVeoC//vWv6du3b2bNmpWWLVvmrrvuyrrrrptx48alSZMmad26dZ31O3TokMmTJy92e7Nnz87s2bPL96dPn17U6AAAAPC5Kh7da621VsaNG5dp06bljjvuyKBBgzJ69Oh6b2/48OEZNmzYMpzw6+nC596v9Ah8Dfxo47aVHgEAAApV8a+XN2nSJD179kyfPn0yfPjwbLjhhrn88svTsWPHzJkzJ1OnTq2z/pQpU9KxY8fFbm/o0KGZNm1a+fbOO+8U/AoAAABg0Soe3Z81f/78zJ49O3369Enjxo3z8MMPlx8bP358Jk6cmL59+y72+dXV1eWfIFtwAwAAgEqo6NfLhw4dml122SVdu3bNxx9/nJEjR2bUqFF54IEHUltbmyOOOCKnnnpq2rRpk5qampx44onp27fvEl+5HAAAACqpotH97rvv5tBDD82kSZNSW1ub3r1754EHHsiOO+6YJLn00kvToEGD7Lvvvpk9e3b69++fq666qpIjAwAAwBJb7n6ne1nzO93140JqfBVcSA0AgBXVCvc73QAAALCyEd0AAABQENENAAAABRHdAAAAUBDRDQAAAAUR3QAAAFAQ0Q0AAAAFEd0AAABQENENAAAABRHdAAAAUBDRDQAAAAUR3QAAAFAQ0Q0AAAAFEd0AAABQENENAAAABRHdAAAAUBDRDQAAAAUR3QAAAFAQ0Q0AAAAFEd0AAABQENENAAAABRHdAAAAUBDRDQAAAAUR3QAAAFAQ0Q0AAAAFEd0AAABQENENAAAABRHdAAAAUBDRDQAAAAUR3QAAAFAQ0Q0AAAAFEd0AAABQENENAAAABRHdAAAAUBDRDQAAAAUR3QAAAFAQ0Q0AAAAFEd0AAABQENENAAAABRHdAAAAUBDRDQAAAAUR3QAAAFAQ0Q0AAAAFEd0AAABQENENAAAABRHdAAAAUBDRDQAAAAUR3QAAAFAQ0Q0AAAAFEd0AAABQENENAAAABRHdAAAAUBDRDQAAAAUR3QAAAFAQ0Q0AAAAFEd0AAABQENENAAAABRHdAAAAUBDRDQAAAAUR3QAAAFAQ0Q0AAAAFEd0AAABQENENAAAABRHdAAAAUBDRDQAAAAUR3QAAAFAQ0Q0AAAAFEd0AAABQkIpG9/Dhw7PZZpulVatWad++ffbaa6+MHz++zjrbbrttqqqq6tyOPfbYCk0MAAAAS66i0T169OgMGTIkTz75ZB588MHMnTs3O+20U2bOnFlnvaOOOiqTJk0q3y666KIKTQwAAABLrlEld37//ffXuX/jjTemffv2eeaZZ7LNNtuUlzdv3jwdO3b8qscDAACAL2W5Oqd72rRpSZI2bdrUWf673/0ubdu2zfrrr5+hQ4fmk08+Wew2Zs+enenTp9e5AQAAQCVU9Ej3f5o/f35OPvnkfOtb38r6669fXn7QQQelW7du6dy5c1544YX88Ic/zPjx43PnnXcucjvDhw/PsGHDvqqxAQAAYLGqSqVSqdJDJMlxxx2X++67L3/5y1+y2mqrLXa9Rx55JNtvv33eeOON9OjRY6HHZ8+endmzZ5fvT58+PV26dMm0adNSU1NTyOwrowufe7/SI/A18KON21Z6BAAAqJfp06entrb2C1tzuTjSfcIJJ+Tee+/NY4899rnBnSSbb755kiw2uqurq1NdXV3InAAAALA0KhrdpVIpJ554Yu66666MGjUqq6+++hc+Z9y4cUmSTp06FTwdAAAAfDkVje4hQ4Zk5MiRueeee9KqVatMnjw5SVJbW5tmzZrlzTffzMiRI7Prrrtm1VVXzQsvvJBTTjkl22yzTXr37l3J0QEAAOALVTS6r7766iTJtttuW2f5iBEjMnjw4DRp0iQPPfRQLrvsssycOTNdunTJvvvumzPOOKMC0wIAAMDSqfjXyz9Ply5dMnr06K9oGgAAAFi2lqvf6QYAAICViegGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoSEWje/jw4dlss83SqlWrtG/fPnvttVfGjx9fZ51Zs2ZlyJAhWXXVVdOyZcvsu+++mTJlSoUmBgAAgCVX0egePXp0hgwZkieffDIPPvhg5s6dm5122ikzZ84sr3PKKafkj3/8Y26//faMHj06//znP7PPPvtUcGoAAABYMlWlUqlU6SEWeO+999K+ffuMHj0622yzTaZNm5Z27dpl5MiR2W+//ZIkr776atZZZ52MGTMmW2yxxRduc/r06amtrc20adNSU1NT9EtYaVz43PuVHoGvgR9t3LbSIwAAQL0saWsuV+d0T5s2LUnSpk2bJMkzzzyTuXPnZocddiivs/baa6dr164ZM2ZMRWYEAACAJdWo0gMsMH/+/Jx88sn51re+lfXXXz9JMnny5DRp0iStW7eus26HDh0yefLkRW5n9uzZmT17dvn+9OnTC5sZAAAAPs9yc6R7yJAhefHFF3PLLbd8qe0MHz48tbW15VuXLl2W0YQAAACwdJaL6D7hhBNy77335tFHH81qq61WXt6xY8fMmTMnU6dOrbP+lClT0rFjx0Vua+jQoZk2bVr59s477xQ5OgAAACxWRaO7VCrlhBNOyF133ZVHHnkkq6++ep3H+/Tpk8aNG+fhhx8uLxs/fnwmTpyYvn37LnKb1dXVqampqXMDAACASqjoOd1DhgzJyJEjc88996RVq1bl87Rra2vTrFmz1NbW5ogjjsipp56aNm3apKamJieeeGL69u27RFcuBwAAgEqqaHRfffXVSZJtt922zvIRI0Zk8ODBSZJLL700DRo0yL777pvZs2enf//+ueqqq77iSQEAAGDpVTS6l+Qnwps2bZpf/vKX+eUvf/kVTAQAAADLznJxITUAAABYGYluAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgII0qu8TZ86cmdGjR2fixImZM2dOncdOOumkLz0YAAAArOjqFd3PPfdcdt1113zyySeZOXNm2rRpk/fffz/NmzdP+/btRTcAAACknl8vP+WUUzJgwIB89NFHadasWZ588sm8/fbb6dOnTy6++OJlPSMAAACskOoV3ePGjcv3vve9NGjQIA0bNszs2bPTpUuXXHTRRfnxj3+8rGcEAACAFVK9ortx48Zp0ODfT23fvn0mTpyYJKmtrc0777yz7KYDAACAFVi9zuneeOON8/TTT6dXr17p169fzjrrrLz//vu5+eabs/766y/rGQEAAGCFVK8j3RdccEE6deqUJDn//POzyiqr5Ljjjst7772Xa6+9dpkOCAAAACuqeh3p3nTTTcv/3b59+9x///3LbCAAAABYWdTrSDcAAADwxZb4SPcmm2yShx9+OKussko23njjVFVVLXbdZ599dpkMBwAAACuyJY7uPffcM9XV1UmSvfbaq6h5AAAAYKVRVSqVSpUeokjTp09PbW1tpk2blpqamkqPs8K48Ln3Kz0CXwM/2rhtpUcAAIB6WdLWrNc53U8//XSeeuqphZY/9dRTGTt2bH02CQAAACudekX3kCFD8s477yy0/B//+EeGDBnypYcCAACAlUG9ovvll1/OJptsstDyjTfeOC+//PKXHgoAAABWBvWK7urq6kyZMmWh5ZMmTUqjRvX66W8AAABY6dQrunfaaacMHTo006ZNKy+bOnVqfvzjH2fHHXdcZsMBAADAiqxeh6UvvvjibLPNNunWrVs23njjJMm4cePSoUOH3Hzzzct0QAAAAFhR1Su6v/GNb+SFF17I7373uzz//PNp1qxZDjvssAwcODCNGzde1jMCAADACqneJ2C3aNEiRx999LKcBQAAAFYq9Y7u119/PY8++mjefffdzJ8/v85jZ5111pceDAAAAFZ09Yru6667Lscdd1zatm2bjh07pqqqqvxYVVWV6AYAAIDUM7p/8pOf5Pzzz88Pf/jDZT0PAAAArDTq9ZNhH330Ufbff/9lPQsAAACsVOoV3fvvv3/+/Oc/L+tZAAAAYKVSr6+X9+zZM2eeeWaefPLJbLDBBgv9TNhJJ520TIYDAACAFVlVqVQqLe2TVl999cVvsKoqf/vb377UUMvS9OnTU1tbm2nTpqWmpqbS46wwLnzu/UqPwNfAjzZuW+kRAACgXpa0Net1pPutt96q92AAAADwdVGvc7oXmDNnTsaPH5958+Ytq3kAAABgpVGv6P7kk09yxBFHpHnz5llvvfUyceLEJMmJJ56YCy+8cJkOCAAAACuqekX30KFD8/zzz2fUqFFp2rRpefkOO+yQW2+9dZkNBwAAACuyep3Tfffdd+fWW2/NFltskaqqqvLy9dZbL2+++eYyGw4AAABWZPU60v3ee++lffv2Cy2fOXNmnQgHAACAr7N6Rfemm26aP/3pT+X7C0L717/+dfr27btsJgMAAIAVXL2+Xn7BBRdkl112ycsvv5x58+bl8ssvz8svv5wnnngio0ePXtYzAgAAwAqpXke6t9pqq4wbNy7z5s3LBhtskD//+c9p3759xowZkz59+izrGQEAAGCFVK8j3UnSo0ePXHfddctyFgAAAFip1Cu6F/wu9+J07dq1XsMAAADAyqRe0d29e/fPvUr5p59+Wu+BAAAAYGVRr+h+7rnn6tyfO3dunnvuuVxyySU5//zzl8lgAAAAsKKrV3RvuOGGCy3bdNNN07lz5/zsZz/LPvvs86UHAwAAgBVdva5evjhrrbVWnn766SVe/7HHHsuAAQPSuXPnVFVV5e67767z+ODBg1NVVVXntvPOOy/LkQEAAKAw9TrSPX369Dr3S6VSJk2alHPOOSe9evVa4u3MnDkzG264YQ4//PDFHh3feeedM2LEiPL96urq+owMAAAAX7l6RXfr1q0XupBaqVRKly5dcssttyzxdnbZZZfssssun7tOdXV1OnbsWJ8xAQAAoKLqFd2PPPJInehu0KBB2rVrl549e6ZRo3r/9PcijRo1Ku3bt88qq6yS7bbbLj/5yU+y6qqrLnb92bNnZ/bs2eX7nz0qDwAAAF+VehXytttuu4zHWLSdd945++yzT1ZfffW8+eab+fGPf5xddtklY8aMScOGDRf5nOHDh2fYsGFfyXwAAADweeoV3cOHD0+HDh1y+OGH11l+ww035L333ssPf/jDZTLcgQceWP7vDTbYIL17906PHj0yatSobL/99ot8ztChQ3PqqaeW70+fPj1dunRZJvMAAADA0qjX1ct/9atfZe21115o+XrrrZdrrrnmSw+1OGussUbatm2bN954Y7HrVFdXp6amps4NAAAAKqFe0T158uR06tRpoeXt2rXLpEmTvvRQi/P3v/89H3zwwSL3DQAAAMubekV3ly5d8vjjjy+0/PHHH0/nzp2XeDszZszIuHHjMm7cuCTJW2+9lXHjxmXixImZMWNGTjvttDz55JOZMGFCHn744ey5557p2bNn+vfvX5+xAQAA4CtVr3O6jzrqqJx88smZO3dutttuuyTJww8/nB/84Af53ve+t8TbGTt2bL797W+X7y84F3vQoEG5+uqr88ILL+Smm27K1KlT07lz5+y0004577zz/FY3AAAAK4R6Rfdpp52WDz74IMcff3zmzJmTJGnatGl++MMfZujQoUu8nW233TalUmmxjz/wwAP1GQ8AAACWC/WK7qqqqvz0pz/NmWeemVdeeSXNmjVLr169HIEGAACA/1Cvc7oXmDx5cj788MP06NEj1dXVn3vUGgAAAL5u6hXdH3zwQbbffvusueaa2XXXXctXLD/iiCOW6pxuAAAAWJnVK7pPOeWUNG7cOBMnTkzz5s3Lyw844IDcf//9y2w4AAAAWJHV65zuP//5z3nggQey2mqr1Vneq1evvP3228tkMAAAAFjR1etI98yZM+sc4V7gww8/dDE1AAAA+H/qFd1bb711fvOb35TvV1VVZf78+bnooovq/O42AAAAfJ3V6+vlF110UbbffvuMHTs2c+bMyQ9+8IO89NJL+fDDD/P4448v6xkBAABghVSvI93rr79+XnvttWy11VbZc889M3PmzOyzzz557rnn0qNHj2U9IwAAAKyQlvpI99y5c7Pzzjvnmmuuyemnn17ETAAAALBSWOoj3Y0bN84LL7xQxCwAAACwUqnX18sPOeSQXH/99ct6FgAAAFip1OtCavPmzcsNN9yQhx56KH369EmLFi3qPH7JJZcsk+EAAABgRbZU0f23v/0t3bt3z4svvphNNtkkSfLaa6/VWaeqqmrZTQcAAAArsKWK7l69emXSpEl59NFHkyQHHHBArrjiinTo0KGQ4QAAAGBFtlTndJdKpTr377vvvsycOXOZDgQAAAAri3pdSG2Bz0Y4AAAA8H+WKrqrqqoWOmfbOdwAAACwaEt1TnepVMrgwYNTXV2dJJk1a1aOPfbYha5efueddy67CQEAAGAFtVTRPWjQoDr3DznkkGU6DAAAAKxMliq6R4wYUdQcAAAAsNL5UhdSAwAAABZPdAMAAEBBRDcAAAAURHQDAABAQUQ3AAAAFER0AwAAQEFENwAAABREdAMAAEBBRDcAAAAURHQDAABAQUQ3AAAAFER0AwAAQEFENwAAABREdAMAAEBBRDcAAAAURHQDAABAQUQ3AAAAFER0AwAAQEFENwAAABREdAMAAEBBRDcAAAAURHQDAABAQUQ3AAAAFER0AwAAQEFENwAAABREdAMAAEBBRDcAAAAURHQDAABAQUQ3AAAAFER0AwAAQEFENwAAABREdAMAAEBBRDcAAAAURHQDAABAQUQ3AAAAFER0AwAAQEFENwAAABREdAMAAEBBRDcAAAAURHQDAABAQUQ3AAAAFER0AwAAQEFENwAAABREdAMAAEBBRDcAAAAURHQDAABAQSoa3Y899lgGDBiQzp07p6qqKnfffXedx0ulUs4666x06tQpzZo1yw477JDXX3+9MsMCAADAUqpodM+cOTMbbrhhfvnLXy7y8YsuuihXXHFFrrnmmjz11FNp0aJF+vfvn1mzZn3FkwIAAMDSa1TJne+yyy7ZZZddFvlYqVTKZZddljPOOCN77rlnkuQ3v/lNOnTokLvvvjsHHnjgVzkqAAAALLXl9pzut956K5MnT84OO+xQXlZbW5vNN988Y8aMqeBkAAAAsGQqeqT780yePDlJ0qFDhzrLO3ToUH5sUWbPnp3Zs2eX70+fPr2YAQEAAOALLLfRXV/Dhw/PsGHDKj0GAMuJC597v9IjsJL70cZtKz0CAMux5fbr5R07dkySTJkypc7yKVOmlB9blKFDh2batGnl2zvvvFPonAAAALA4y210r7766unYsWMefvjh8rLp06fnqaeeSt++fRf7vOrq6tTU1NS5AQAAQCVU9OvlM2bMyBtvvFG+/9Zbb2XcuHFp06ZNunbtmpNPPjk/+clP0qtXr6y++uo588wz07lz5+y1116VGxoAAACWUEWje+zYsfn2t79dvn/qqacmSQYNGpQbb7wxP/jBDzJz5swcffTRmTp1arbaaqvcf//9adq0aaVGBgAAgCVW0ejedtttUyqVFvt4VVVVzj333Jx77rlf4VQAAACwbCy353QDAADAik50AwAAQEFENwAAABREdAMAAEBBRDcAAAAURHQDAABAQUQ3AAAAFER0AwAAQEFENwAAABREdAMAAEBBRDcAAAAURHQDAABAQUQ3AAAAFER0AwAAQEFENwAAABREdAMAAEBBRDcAAAAURHQDAABAQUQ3AAAAFER0AwAAQEFENwAAABREdAMAAEBBRDcAAAAURHQDAABAQUQ3AAAAFER0AwAAQEFENwAAABREdAMAAEBBRDcAAAAURHQDAABAQUQ3AAAAFER0AwAAQEFENwAAABREdAMAAEBBRDcAAAAURHQDAABAQUQ3AAAAFER0AwAAQEFENwAAABREdAMAAEBBRDcAAAAURHQDAABAQUQ3AAAAFER0AwAAQEFENwAAABREdAMAAEBBRDcAAAAURHQDAABAQUQ3AAAAFER0AwAAQEFENwAAABREdAMAAEBBRDcAAAAURHQDAABAQUQ3AAAAFER0AwAAQEFENwAAABREdAMAAEBBRDcAAAAURHQDAABAQUQ3AAAAFER0AwAAQEFENwAAABREdAMAAEBBRDcAAAAURHQDAABAQUQ3AAAAFER0AwAAQEGW6+g+55xzUlVVVee29tprV3osAAAAWCKNKj3AF1lvvfXy0EMPle83arTcjwwAAABJVoDobtSoUTp27FjpMQAAAGCpLddfL0+S119/PZ07d84aa6yRgw8+OBMnTqz0SAAAALBElusj3ZtvvnluvPHGrLXWWpk0aVKGDRuWrbfeOi+++GJatWq1yOfMnj07s2fPLt+fPn36VzUuAAAA1LFcR/cuu+xS/u/evXtn8803T7du3XLbbbfliCOOWORzhg8fnmHDhn1VIwIAQOEufO79So/A18CPNm5b6RFWSsv918v/U+vWrbPmmmvmjTfeWOw6Q4cOzbRp08q3d9555yucEAAAAP7PChXdM2bMyJtvvplOnTotdp3q6urU1NTUuQEAAEAlLNfR/f3vfz+jR4/OhAkT8sQTT2TvvfdOw4YNM3DgwEqPBgAAAF9ouT6n++9//3sGDhyYDz74IO3atctWW22VJ598Mu3atav0aAAAAPCFluvovuWWWyo9AgAAANTbcv31cgAAAFiRiW4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoyAoR3b/85S/TvXv3NG3aNJtvvnn+93//t9IjAQAAwBda7qP71ltvzamnnpqzzz47zz77bDbccMP0798/7777bqVHAwAAgM+13Ef3JZdckqOOOiqHHXZY1l133VxzzTVp3rx5brjhhkqPBgAAAJ+rUaUH+Dxz5szJM888k6FDh5aXNWjQIDvssEPGjBmzyOfMnj07s2fPLt+fNm1akmT69OnFDruSmTXj40qPwNfA9OlNKj0CXwM+zyiazzK+Cj7L+Cr4PFs6CxqzVCp97nrLdXS///77+fTTT9OhQ4c6yzt06JBXX311kc8ZPnx4hg0bttDyLl26FDIjUH8L/18qwIrHZxmwsvB5Vj8ff/xxamtrF/v4ch3d9TF06NCceuqp5fvz58/Phx9+mFVXXTVVVVUVnIyV2fTp09OlS5e88847qampqfQ4APXiswxYWfg846tQKpXy8ccfp3Pnzp+73nId3W3btk3Dhg0zZcqUOsunTJmSjh07LvI51dXVqa6urrOsdevWRY0IddTU1PhgB1Z4PsuAlYXPM4r2eUe4F1iuL6TWpEmT9OnTJw8//HB52fz58/Pwww+nb9++FZwMAAAAvthyfaQ7SU499dQMGjQom266ab75zW/msssuy8yZM3PYYYdVejQAAAD4XMt9dB9wwAF57733ctZZZ2Xy5MnZaKONcv/99y90cTWopOrq6px99tkLndoAsCLxWQasLHyesTypKn3R9c0BAACAelmuz+kGAACAFZnoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoyHL/k2EAwJfz9ttvZ9SoURk0aFClRwGol4kTJ+ahhx5Ko0aNsv7662eTTTap9EiwxEQ3LMLUqVPzj3/8I2PHjk2LFi2y0047pWXLlmnQwJdDgBXL3Llzc+WVV+b3v/995s6dmyOPPLLSIwEslRdeeCG77bZbunTpkvHjx+db3/pWzjvvvGy44YaVHg2WiOiGz3j11Vdzyimn5N13382rr76a2bNnp1evXjnppJNy2GGHpWnTppUeEWCJNW7cOIcffnhmzZqVq666Kp9++mmOOeaYSo8FsESef/759O3bN9/97ndz9tlnZ+zYsdlnn33yj3/8o050l0qlVFVVVXBSWLyqUqlUqvQQsLx4/vnns+OOO2bgwIHZd99906tXr0yZMiXHHnts3nnnnZx88sn57ne/myZNmlR6VICl8sorr+SKK67IU089lWOOOUZ4A8u9V155Jb17987QoUNz7rnnlpfvtNNOWWuttVJVVZXu3bvn1FNPTSK8WX450g3/z4svvpgtt9wyp512Ws4555zy8k6dOuXRRx/NgAEDctlll2WzzTbLtttuW7E5Ab7Im2++mVdffTVdunRJ7969kyTrrLNOTjzxxJRKpVx99dUplUo59thjKzwpwKLNmzcvTzzxRD799NNsvPHG5eXDhw/PQw89lA4dOmTy5Mn5xS9+kVdeeSXXXXed4Ga55Ug3JJkyZUp69eqVvn375oEHHkiSzJ8/Pw0aNMinn36ahg0bZubMmenZs2e+/e1vZ+TIkRWeGGDRpkyZkk6dOiVJamtr069fv6y55po57LDDsvrqq2fWrFkZOnRonn/++RxyyCE5/vjjKzwxQF0vvfRS7rzzzpx66qn5yU9+kp///Of54x//mOeffz4//elPc/PNN2fXXXfNJ598kp///Oe54IIL8j//8z/ZdNNNKz06LJKrQkGSDh06ZIcddsi7776bm2++OTNnzkyDBg1SKpXSsGHDzJkzJy1atMjgwYMzfvz4TJ06tdIjAyxShw4dcvDBB6dNmzY55JBD0rJlyzz33HPZaqutsskmm+Sqq65K+/bts/766+fXv/51rr/++kqPDFD2/PPPZ4MNNkijRo3SokWLDB8+PCeffHJ22WWXnH766bntttuy6667plQqpXnz5ll77bXTsWPHtGnTptKjw2L5ejlfaxMmTMif/vSn7LTTTrnzzjvzne98JxdeeGGSZL/99kuzZs1SKpXK53BPmTIlzZs3T+vWrSs4NcDCFnye7bjjjrn55puz//7755lnnsmxxx6bQw89NGPGjMlzzz2Xm2++Of/617/ywgsvJEkuueSS7L///qmpqanwKwC+7l5++eX07ds3Z511VoYOHVpeftFFF2WVVVbJ6aefno8++ihJyl8lHzt2bDp16pTa2tqKzAxLQnTztfXXv/41++23X9Zbb72sttpq6dWrV2677bbsv//+5fDed99907x588yfPz9Tp07NjBkzsvvuuydxsQ5g+fHZz7M111wzt99+e/bbb79ccMEFadSoUfbee+/07ds3Bx10UEqlUu644468/vrrGTx4sOAGKu7FF1/Mt7/97XTv3r18bZ25c+emcePGSZKhQ4dm6tSpOeiggzJnzpwcdNBBOfvss/OLX/wiTzzxRFZdddUKTg+fzzndfC29+uqr2XLLLXPMMcfkxBNPTOfOnes8PnDgwDz33HM5/fTTy+F9xhln5Lbbbsv999+fNdZYo0KTA9S1JJ9nzz77bPnzrEWLFuXHFly7AqCSnn/++Wy55Zb55je/mddeey377bdfLr/88iQpX1tngR/96Ef5xS9+kW9961t54oknMmrUqPTp06dSo8MSEd187cyaNSuHHnpo2rdvn1/84hfl5XPnzs0//vGPNG3aNB07dswxxxyTUaNG5YILLsjYsWNzxRVX5PHHH89GG21UueEB/sPSfp6dddZZ2XvvvdO8efMKTg3wf8aOHZstt9wyp59+es4444xcf/31Of3003PQQQctNrxPO+20XHHFFXnyySfrXNkclle+Xs7XTqNGjTJ58uRss8025WUPPPBA7r///txwww2pqanJN7/5zfz+97/PUUcdlf333z8tWrTI//zP/whuYLmyNJ9nRx99dL73ve+lcePG+c53vlPBqQH+zyeffJLjjjsuZ599dpLkgAMOSJKcfvrpSZLLL788DRs2rBPeP/vZzzJ06FAXT2OFIbr52vnkk0/y3nvv5YUXXsj48eNz55135qabbsr666+f8847Ly1btsy5556bc889N9ddd12qq6tz7LHHZv3116/06AB1LM3n2bXXXps5c+b4SR1gubLNNtuU/+GwVCqltrY2Bx54YJKFw3vevHlp1Ojf+SK4WZH4ejlfS4888kj69++fb3zjG/nwww/zs5/9LNtvv3169uyZuXPnZvfdd0/btm3zu9/9rtKjAnwun2fAymj69Om55ZZbcvrpp+e//uu/cskll1R6JKg3R7r5Wtpuu+3yt7/9Le+++266deuWtm3blh9r2LBhamtrs8Yaa2TBv0m5SjmwvPJ5BqyMampqcuCBB6ZBgwY5+uijU11dneHDh1d6LKgXR7rhP8yZMyfnnXdebrjhhowaNSq9evWq9EgA9eLzDFgZTJs2LXfffXf69u2bNddcs9LjQL2Ibvh/fvvb3+bpp5/Orbfemvvuu8/VMIEVls8zYGVSKpV8S4cVmq+XQ5Lx48fn+uuvzyqrrJJHH30066yzTqVHAqgXn2fAykZws6JzpBv+n3fffTfV1dWpra2t9CgAX4rPMwBYfohuAAAAKEiDSg8AAAAAKyvRDQAAAAUR3QAAAFAQ0Q0AAAAFEd0AAABQENENAAAABRHdAAAAUBDRDQB8KaNGjUpVVVWmTp2aJLnxxhvTunXrQvd5zjnnZKONNip0HwCwLIhuAPgSqqqqPvd2zjnnVHrEr9wBBxyQ1157rdJjAMByoVGlBwCAFdmkSZPK/33rrbfmrLPOyvjx48vLWrZsuVTbmzNnTpo0abLM5qvEvpo1a5ZmzZot8+0CwIrIkW4A+BI6duxYvtXW1qaqqqp8f+bMmTn44IPToUOHtGzZMptttlkeeuihOs/v3r17zjvvvBx66KGpqanJ0UcfnST5y1/+kq233jrNmjVLly5dctJJJ2XmzJnl5918883ZdNNN06pVq3Ts2DEHHXRQ3n333c+d9ava12e/Xt69e/dFfgtggR/+8IdZc80107x586yxxho588wzM3fu3DrbvPDCC9OhQ4e0atUqRxxxRGbNmlXn8aeffjo77rhj2rZtm9ra2vTr1y/PPvvs574fAPBVEN0AUJAZM2Zk1113zcMPP5znnnsuO++8cwYMGJCJEyfWWe/iiy/OhhtumOeeey5nnnlm3nzzzey8887Zd99988ILL+TWW2/NX/7yl5xwwgnl58ydOzfnnXdenn/++dx9992ZMGFCBg8e/IUzfZX7WuDpp5/OpEmTMmnSpPz973/PFltska233rr8eKtWrXLjjTfm5ZdfzuWXX57rrrsul156afnx2267Leecc04uuOCCjB07Np06dcpVV11VZx8ff/xxBg0alL/85S958skn06tXr+y66675+OOPl3hOAChCValUKlV6CABYGdx44405+eSTyxcUW5T1118/xx57bDlqu3fvno033jh33XVXeZ0jjzwyDRs2zK9+9avysr/85S/p169fZs6cmaZNmy603bFjx2azzTbLxx9/vNivtBe1r1GjRuXb3/52Pvroo7Ru3fpz34fvfve7ueeee/L000+nXbt2i5zz4osvzi233JKxY8cmSbbccstsvPHG+eUvf1leZ4sttsisWbMybty4RW5j/vz5ad26dUaOHJndd999kesAwFfBkW4AKMiMGTPy/e9/P+uss05at26dli1b5pVXXlnoSPemm25a5/7zzz+fG2+8MS1btizf+vfvn/nz5+ett95KkjzzzDMZMGBAunbtmlatWqVfv35JstC2P+ur3NdnXXvttbn++uvzhz/8oU5w33rrrfnWt76Vjh07pmXLljnjjDPqbPuVV17J5ptvXmdbffv2rXN/ypQpOeqoo9KrV6/U1tampqYmM2bMWOoZAWBZcyE1ACjI97///Tz44IO5+OKL07NnzzRr1iz77bdf5syZU2e9Fi1a1Lk/Y8aMHHPMMTnppJMW2mbXrl0zc+bM9O/fP/3798/vfve7tGvXLhMnTkz//v0X2vZnfZX7+k+PPvpoTjzxxPx//9//l969e5eXjxkzJgcffHCGDRuW/v37p7a2Nrfcckt+/vOfL/G2k2TQoEH54IMPcvnll6dbt26prq5O3759l2pGACiC6AaAgjz++OMZPHhw9t577yT/DtwJEyZ84fM22WSTvPzyy+nZs+ciH//rX/+aDz74IBdeeGG6dOmSJOWvYi+tr2Jfb7zxRvbbb7/8+Mc/zj777FPnsSeeeCLdunXL6aefXl729ttv11lnnXXWyVNPPZVDDz20vOzJJ5+ss87jjz+eq666KrvuumuS5J133sn777+/VHMCQBF8vRwACtKrV6/ceeedGTduXJ5//vkcdNBBmT9//hc+74c//GGeeOKJnHDCCRk3blxef/313HPPPeXzwLt27ZomTZrkyiuvzN/+9rf84Q9/yHnnnVevGYve17/+9a8MGDAgG2+8cY4++uhMnjy5fEv+/R5NnDgxt9xyS958881cccUVdc45T/59HvgNN9yQESNG5LXXXsvZZ5+dl156qc46vXr1ys0335xXXnklTz31VA4++GA/WwbAckF0A0BBLrnkkqyyyirZcsstM2DAgPTv3z+bbLLJFz6vd+/eGT16dF577bVsvfXW2XjjjXPWWWelc+fOSZJ27drlxhtvzO2335511103F154YS6++OJ6zVj0vqZMmZJXX301Dz/8cDp37pxOnTqVb0myxx575JRTTskJJ5yQjTbaKE888UTOPPPMOts44IADcuaZZ+YHP/hB+vTpk7fffjvHHXdcnXWuv/76fPTRR9lkk03yX//1XznppJPSvn37er0nALAsuXo5AAAAFMSRbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIKIbgAAACiI6AYAAICCiG4AAAAoiOgGAACAgohuAAAAKIjoBgAAgIL8/8f4OZ/F+tppAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "task_id_counts = continuos_df['task_id'].value_counts()\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "task_id_counts.plot(kind='bar', color='skyblue')\n",
    "plt.xlabel('Tarea realizada')\n",
    "plt.ylabel('Frecuencia')\n",
    "plt.title('Tareas realizadas por los sujetos')\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "511e6883-39ef-4b90-b448-9f61b1924b8b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Entrada con la medición más larga:\n",
      "accelerometer_filename    d751e057926824f373fc229730a693d789c1248d9361de...\n",
      "gyroscope_filename        d751e057926824f373fc229730a693d789c1248d9361de...\n",
      "accelerometer_values      x,y,z,timestamp 133,-6,-31,1696238570471 238,-...\n",
      "gyroscope_values          x,y,z,timestamp 132,-6,-31,1696238570471 237,-...\n",
      "task_id                                                                  SD\n",
      "task_name                                                             Beber\n",
      "starts_at                                                     1709821442391\n",
      "ends_at                                                       1709821458510\n",
      "medida                                                                16119\n",
      "Name: 2, dtype: object\n",
      "Diferencia en segundos: 16.119 segundos\n",
      "\n",
      "Entrada con la medición más corta:\n",
      "accelerometer_filename    d751e057926824f373fc229730a693d789c1248d9361de...\n",
      "gyroscope_filename        d751e057926824f373fc229730a693d789c1248d9361de...\n",
      "accelerometer_values      x,y,z,timestamp 133,-6,-31,1696238570471 238,-...\n",
      "gyroscope_values          x,y,z,timestamp 132,-6,-31,1696238570471 237,-...\n",
      "task_id                                                                  SD\n",
      "task_name                                                             Beber\n",
      "starts_at                                                     1709821559973\n",
      "ends_at                                                       1709821564513\n",
      "medida                                                                 4540\n",
      "Name: 8, dtype: object\n",
      "Diferencia en segundos: 4.54 segundos\n"
     ]
    }
   ],
   "source": [
    "continuos_df['starts_at'] = pd.to_numeric(continuos_df['starts_at'])\n",
    "continuos_df['ends_at'] = pd.to_numeric(continuos_df['ends_at'])\n",
    "\n",
    "continuos_df['medida'] = continuos_df['ends_at'] - continuos_df['starts_at']\n",
    "\n",
    "\n",
    "maximo = continuos_df.loc[continuos_df['medida'].idxmax()]\n",
    "minimo = continuos_df.loc[continuos_df['medida'].idxmin()]\n",
    "\n",
    "\n",
    "\n",
    "# Convertir las diferencias a segundos\n",
    "maximo_segundos = maximo['medida'] / 1000\n",
    "minimo_segundos = minimo['medida'] / 1000\n",
    "\n",
    "# Imprimir los resultados\n",
    "print(\"Entrada con la medición más larga:\")\n",
    "print(maximo)\n",
    "print(f\"Diferencia en segundos: {maximo_segundos} segundos\")\n",
    "print(\"\\nEntrada con la medición más corta:\")\n",
    "print(minimo)\n",
    "print(f\"Diferencia en segundos: {minimo_segundos} segundos\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "9ae3608f-a38e-4299-ba06-d413ba568f9c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
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       "    .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>x</th>\n",
       "      <th>y</th>\n",
       "      <th>z</th>\n",
       "      <th>timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-10.207581750609537</td>\n",
       "      <td>2.9673989628351127</td>\n",
       "      <td>-1.8430997696663385</td>\n",
       "      <td>0.001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-10.20936960903222</td>\n",
       "      <td>2.9819053096719546</td>\n",
       "      <td>-1.8479985686328004</td>\n",
       "      <td>0.002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-10.211098086786428</td>\n",
       "      <td>2.996456682050339</td>\n",
       "      <td>-1.8529535789434763</td>\n",
       "      <td>0.003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-10.212766460198887</td>\n",
       "      <td>3.0110528878335368</td>\n",
       "      <td>-1.8579647277335103</td>\n",
       "      <td>0.004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-10.21437400600868</td>\n",
       "      <td>3.025693731412237</td>\n",
       "      <td>-1.8630319384261589</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13495</th>\n",
       "      <td>-10.179200390463118</td>\n",
       "      <td>2.526629482483312</td>\n",
       "      <td>-1.8622073669239323</td>\n",
       "      <td>13.496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13496</th>\n",
       "      <td>-10.17607929401234</td>\n",
       "      <td>2.514089010481108</td>\n",
       "      <td>-1.8590796505658211</td>\n",
       "      <td>13.497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13497</th>\n",
       "      <td>-10.172939547711056</td>\n",
       "      <td>2.501578139359022</td>\n",
       "      <td>-1.85594783616554</td>\n",
       "      <td>13.498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13498</th>\n",
       "      <td>-10.1697818720446</td>\n",
       "      <td>2.489097069195524</td>\n",
       "      <td>-1.85281208535736</td>\n",
       "      <td>13.499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13499</th>\n",
       "      <td>-10.166606983156427</td>\n",
       "      <td>2.4766459997048806</td>\n",
       "      <td>-1.8496725609851103</td>\n",
       "      <td>13.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>13500 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         x                   y                    z timestamp\n",
       "0      -10.207581750609537  2.9673989628351127  -1.8430997696663385     0.001\n",
       "1       -10.20936960903222  2.9819053096719546  -1.8479985686328004     0.002\n",
       "2      -10.211098086786428   2.996456682050339  -1.8529535789434763     0.003\n",
       "3      -10.212766460198887  3.0110528878335368  -1.8579647277335103     0.004\n",
       "4       -10.21437400600868   3.025693731412237  -1.8630319384261589     0.005\n",
       "...                    ...                 ...                  ...       ...\n",
       "13495  -10.179200390463118   2.526629482483312  -1.8622073669239323    13.496\n",
       "13496   -10.17607929401234   2.514089010481108  -1.8590796505658211    13.497\n",
       "13497  -10.172939547711056   2.501578139359022    -1.85594783616554    13.498\n",
       "13498    -10.1697818720446   2.489097069195524    -1.85281208535736    13.499\n",
       "13499  -10.166606983156427  2.4766459997048806  -1.8496725609851103      13.5\n",
       "\n",
       "[13500 rows x 4 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Resultados del acelerómetro del ensayo 0 de la tarea BB del sujeto 315718\n",
    "DeltaTable(\"/home/datalake/data/ADL_sequences/315718/bb/315718-bb-accelerometer-0\").to_pandas()"
   ]
  },
  {
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   "execution_count": 8,
   "id": "5b7046e1-83ec-4d5a-82db-9fb7fa6d355f",
   "metadata": {},
   "outputs": [
    {
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       "0     0.96  -5.87   7.7  0.03333333333333333\n",
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       "2     0.74  -6.02  7.77                  0.1\n",
       "3     0.89  -6.04  7.78  0.13333333333333333\n",
       "4     0.94  -6.08  7.64  0.16666666666666666\n",
       "..     ...    ...   ...                  ...\n",
       "415   0.58  -6.58  5.83   13.866666666666667\n",
       "416  -0.71  -8.41  7.63                 13.9\n",
       "417  -2.74   -7.8  7.14   13.933333333333334\n",
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       "419  -4.36  -4.94  8.95                 14.0\n",
       "\n",
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     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "# Resultados del acelerómetro del ensayo 2 de la tarea CE del sujeto ...\n",
    "DeltaTable(\"/home/datalake/data/hospital_sequences/dolores_dominguez_jimenez/ce/dolores_dominguez_jimenez-ce-accelerometer-2\").to_pandas()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7997c507-b45a-4a08-8470-9ab4626d7e5d",
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "       x      y     z            timestamp\n",
       "0  -0.89  -4.15  8.64  0.03333333333333333\n",
       "1  -0.56  -3.76  8.98  0.06666666666666667\n",
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     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "# Resultados del acelerómetro del ensayo 3 de la tarea SN del lab8\n",
    "df = DeltaTable(\"/home/datalake/data/lab_sequences/lab8/sn/lab8-sn-accelerometer-3\").to_pandas()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e125df99-6fbd-4c17-b773-a786a969d69c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15, 8), facecolor='white')\n",
    "ax.plot(df['timestamp'], df['x'], label='X', alpha=0.75)\n",
    "ax.plot(df['timestamp'], df['y'], label='Y', alpha=0.75)\n",
    "ax.plot(df['timestamp'], df['z'], label='Z', alpha=0.75)\n",
    "\n",
    "ax.set_xlabel('Timestamp')\n",
    "ax.set_title('Acelerómetro del ensayo 3 de la tarea SN del lab8')\n",
    "ax.legend()\n",
    "\n",
    "\n",
    "plt.xticks(rotation=45)\n",
    "ax.xaxis.set_major_locator(plt.MaxNLocator(10)) \n",
    "ax.set_yticklabels([])\n",
    "\n",
    "plt.tight_layout()  # Ajusta el diseño para evitar recortes\n",
    "plt.show()\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}