{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1375ea77-6560-434d-8838-2e86a8a02da4",
   "metadata": {},
   "source": [
    "# Read a CSV File"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4678ac3c-f28a-4ca9-a8b4-a15f1eccf4df",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import csv"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18ffa87c-7e76-4674-86a5-611b5a3ed240",
   "metadata": {},
   "source": [
    "#### We will get a **list of values** for each row of the CSV file. The first list contains the column names. (The first column has no name.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "924b1854-2a2d-4197-b870-389f2b35a478",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "count = 0\n",
    "\n",
    "with open('TitanicSurvival.csv', newline='') as csv_file:\n",
    "    data = csv.reader(csv_file, delimiter=',', quotechar='\"')\n",
    "    \n",
    "    for row in data:\n",
    "        print(row)\n",
    "        count += 1\n",
    "\n",
    "print()\n",
    "print(f'{count - 1} data records read.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e25adf75-2a7b-46f6-9b06-6e2b6b412883",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Copyright (c) 2024 by Ronald Mak"
   ]
  }
 ],
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