02-exercises.ipynb

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   "source": [
    "# SQL 入門\n",
    "\n",
    "> 基本查詢：隨堂練習\n",
    "\n",
    "郭耀仁"
   ]
  },
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   "source": [
    "import sqlite3\n",
    "import pandas as pd\n",
    "from sqlFrameCheck import checkAnsQuery\n",
    "from test_queries.test_queries_02 import extract_test_queries as etq\n",
    "\n",
    "conn_twelection = sqlite3.connect('twelection.db')\n",
    "conn_nba = sqlite3.connect('nba.db')"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "## 隨堂練習：以 `||`  運算符將 `presidential2020` 表格中 `county`、`town` 與 `village` 連結誠一個新的欄位並命名為 `combined_key`，再以 `DISTINCT` 暸解台灣獨一的選舉區有哪些"
   ]
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  {
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   "outputs": [],
   "source": [
    "ans_query = \"\"\"\n",
    "-- 將查詢語法寫在這裡\n",
    "\"\"\"\n",
    "# 試跑看看結果\n",
    "pd.read_sql(ans_query, conn_twelection)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
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    }
   },
   "source": [
    "## 測資比對"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "caq = checkAnsQuery(etq('0201'), ans_query, conn_twelection)\n",
    "caq.run_test()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
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   },
   "source": [
    "## 隨堂練習：計算 NBA 球員的身體質量指數（BMI）並由大到小排序，選擇 `firstName`、`lastName` 與 `bmi` 這三個變數"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ans_query = \"\"\"\n",
    "-- 將查詢語法寫在這裡\n",
    "\"\"\"\n",
    "# 試跑看看結果\n",
    "pd.read_sql(ans_query, conn_nba)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## 測資比對"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "caq = checkAnsQuery(etq('0202'), ans_query, conn_nba)\n",
    "caq.run_test()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
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   },
   "source": [
    "## 隨堂練習：使用 `WHERE` 將 `presidential2020` 中臺北市的資料篩選出來"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ans_query = \"\"\"\n",
    "-- 將查詢語法寫在這裡\n",
    "\"\"\"\n",
    "# 試跑看看結果\n",
    "pd.read_sql(ans_query, conn_twelection)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## 測資比對"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "caq = checkAnsQuery(etq('0203'), ans_query, conn_twelection)\n",
    "caq.run_test()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## 隨堂練習：使用 `WHERE` 將 `presidential2020` 表格中的六都（臺北市、新北市、桃園市、臺中市、臺南市與高雄市）的資料篩選出來"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ans_query = \"\"\"\n",
    "-- 將查詢語法寫在這裡\n",
    "\"\"\"\n",
    "# 試跑看看結果\n",
    "pd.read_sql(ans_query, conn_twelection)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## 測資比對"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "caq = checkAnsQuery(etq('0204'), ans_query, conn_twelection)\n",
    "caq.run_test()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## 隨堂練習：查詢 `careerSummaries` 生涯場均得分 `ppg` 超過 20 分的球員 ID `personId`、場均得分 `ppg`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ans_query = \"\"\"\n",
    "-- 將查詢語法寫在這裡\n",
    "\"\"\"\n",
    "# 試跑看看結果\n",
    "pd.read_sql(ans_query, conn_nba)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## 測資比對"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "caq = checkAnsQuery(etq('0205'), ans_query, conn_nba)\n",
    "caq.run_test()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## 隨堂練習：從 `careerSummaries` 中找出生涯助攻失誤比（assists/turnovers）最高的前 10 個球員 ID `personId`、助攻失誤比 `ast_to_ratio`\n",
    "\n",
    "\\begin{equation}\n",
    "ast\\_to\\_ratio = \\frac{assists}{turnovers}\n",
    "\\end{equation}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ans_query = \"\"\"\n",
    "-- 將查詢語法寫在這裡\n",
    "\"\"\"\n",
    "# 試跑看看結果\n",
    "pd.read_sql(ans_query, conn_nba)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## 測資比對"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "caq = checkAnsQuery(etq('0206'), ans_query, conn_nba)\n",
    "caq.run_test()"
   ]
  }
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