{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  Subject 1: CO2 concentration in the atmosphere since 1958"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import isoweek"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_url = \"https://scrippsco2.ucsd.edu/assets/data/atmospheric/stations/in_situ_co2/weekly/weekly_in_situ_co2_mlo.csv\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_file = \"weekly_in_situ_co2.csv\"\n",
    "\n",
    "import os\n",
    "import urllib.request\n",
    "if not os.path.exists(data_file):\n",
    "    urllib.request.urlretrieve(data_url, data_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "raw_data = pd.read_csv(data_file, skiprows=44)\n",
    "raw_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "raw_data = pd.read_csv(data_file, skiprows=43)\n",
    "raw_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Visualizar el conjunto de datos\n",
    "plt.figure(figsize=(15, 6))\n",
    "plt.plot(raw_data, label='CO2 Concentration')\n",
    "plt.title('CO2 Concentration Over Time')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('CO2 Concentration (ppm)')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "raw_data = pd.read_csv(data_file, error_bad_lines=False)\n",
    "raw_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cargar datos desde el archivo CSV local\n",
    "file_path = \"https://scrippsco2.ucsd.edu/assets/data/atmospheric/stations/in_situ_co2/weekly/weekly_in_situ_co2_mlo.csv\"  # Reemplaza con la ruta correcta a tu archivo\n",
    "\n",
    "data_file_co2 = \"weekly_co2_in_situ_co2.csv\"\n",
    "\n",
    "import os\n",
    "import urllib.request\n",
    "if not os.path.exists(data_file):\n",
    "    urllib.request.urlretrieve(file_path, data_file_co2)\n",
    "\n",
    "data_co2 = pd.read_csv(file_path, skiprows=43, sep=r'\\s+', engine='python', parse_dates=[0], index_col=[0])\n",
    "\n",
    "# Verificar los primeros registros de datos\n",
    "print(data_co2.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_co2\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Visualizar el conjunto de datos\n",
    "plt.figure(figsize=(15, 6))\n",
    "plt.plot(data_co2.index, label='CO2 Concentration')\n",
    "plt.title('CO2 Concentration Over Time')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('CO2 Concentration (ppm)')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Visualizar el conjunto de datos\n",
    "plt.figure(figsize=(15, 6))\n",
    "plt.plot(data_co2)\n",
    "plt.title('CO2 Concentration Over Time')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('CO2 Concentration (ppm)')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Subject 4: Latency and capacity estimation for a network connection from asymmetric measurements\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_url_latency_campus = \"https://scrippsco2.ucsd.edu/assets/data/atmospheric/stations/in_situ_co2/weekly/weekly_in_situ_co2_mlo.csv\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_file_campus = \"latency_campus.csv\"\n",
    "\n",
    "import os\n",
    "import urllib.request\n",
    "if not os.path.exists(data_file_campus):\n",
    "    urllib.request.urlretrieve(data_url_latency_campus, data_file_campus)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "raw_data_campus = pd.read_csv(data_file_campus, skiprows=1)\n",
    "raw_data_campus"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_url_latency_remote = \"https://scrippsco2.ucsd.edu/assets/data/atmospheric/stations/in_situ_co2/weekly/weekly_in_situ_co2_mlo.csv\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_file_remote = \"latency_remote.csv\"\n",
    "\n",
    "import os\n",
    "import urllib.request\n",
    "if not os.path.exists(data_file):\n",
    "    urllib.request.urlretrieve(data_url_latency_remote, data_file_remote)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "raw_data_remote = pd.read_csv(data_file_remote, skiprows=1)\n",
    "raw_data_remote"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n"
   ]
  }
 ],
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