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   "source": [
    "### <center>San Jose State University<br>Department of Applied Data Science<br><br>**DATA 200<br>Computational Programming for Data Analytics**<br><br>Spring 2024<br>Instructor: Ron Mak</center>"
   ]
  },
  {
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   "execution_count": null,
   "id": "139dfaa1-1396-4e30-ac32-8ca27887d30e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import csv\n",
    "import pandas as pd\n",
    "from pandas import DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "36303f1f-e589-49a1-9b78-bba8b4380093",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('TitanicSurvival.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bf700939-5d8d-42c0-a8d1-4eed38cad2b9",
   "metadata": {},
   "outputs": [],
   "source": [
    "count = len(df)\n",
    "print(f'Count of all passengers = {count}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1555fa8c-376e-4ab1-882c-9cdec9345ced",
   "metadata": {},
   "outputs": [],
   "source": [
    "for klass in ['1st', '2nd', '3rd']:\n",
    "    count = len(df[df.passengerClass == klass])\n",
    "    print(f'Count of passengers in class {klass} = {count}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "393cd129-2270-41e4-a6eb-76966ef2e6ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "# (c) 2024 by Ronald Mak"
   ]
  }
 ],
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