kucharczyk_exploring_international_debt.ipynb

{
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   "source": [
    "# import packages and modules\n",
    "from pandas_gbq import read_gbq\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# turn off pandas maximum column width and maximum number of rows\n",
    "pd.set_option('max_colwidth', None)\n",
    "pd.set_option(\"display.max_rows\", None)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e315005-ee3c-4d5b-8821-cbb07ec9e41d",
   "metadata": {},
   "source": [
    "### Preview the international_debt table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "82d84ab9-4c74-4b74-96b6-5a2fef9d7555",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading: 100%|\u001b[32m██████████\u001b[0m|\n"
     ]
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country_name</th>\n",
       "      <th>country_code</th>\n",
       "      <th>indicator_name</th>\n",
       "      <th>indicator_code</th>\n",
       "      <th>value</th>\n",
       "      <th>year</th>\n",
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       "      <th>0</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>GNI (current US$)</td>\n",
       "      <td>NY.GNP.MKTP.CD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
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       "      <th>1</th>\n",
       "      <td>Chad</td>\n",
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       "      <th>2</th>\n",
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       "      <td>GNI (current US$)</td>\n",
       "      <td>NY.GNP.MKTP.CD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>GNI (current US$)</td>\n",
       "      <td>NY.GNP.MKTP.CD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>GNI (current US$)</td>\n",
       "      <td>NY.GNP.MKTP.CD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  country_name country_code     indicator_name  indicator_code  value  year\n",
       "0         Chad          TCD  GNI (current US$)  NY.GNP.MKTP.CD    NaN  <NA>\n",
       "1         Chad          TCD  GNI (current US$)  NY.GNP.MKTP.CD    NaN  <NA>\n",
       "2         Chad          TCD  GNI (current US$)  NY.GNP.MKTP.CD    NaN  <NA>\n",
       "3         Chad          TCD  GNI (current US$)  NY.GNP.MKTP.CD    NaN  <NA>\n",
       "4         Chad          TCD  GNI (current US$)  NY.GNP.MKTP.CD    NaN  <NA>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query = \"\"\"\n",
    "SELECT *\n",
    "FROM bigquery-public-data.world_bank_intl_debt.international_debt\n",
    "LIMIT 5;\n",
    "\"\"\"\n",
    "\n",
    "preview_int_debt = read_gbq(query, project_id=project_id)\n",
    "\n",
    "preview_int_debt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c4cde5c-dd56-47ab-adde-cbeb265d22d1",
   "metadata": {},
   "source": [
    "### What is the total number of rows?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4235315a-1f8a-4e9a-b04e-d1a7ac3bab89",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading: 100%|\u001b[32m██████████\u001b[0m|\n"
     ]
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    {
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      "text/plain": [
       "   total_rows\n",
       "0     3284415"
      ]
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     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "query = \"\"\"\n",
    "SELECT COUNT(*) AS total_rows\n",
    "FROM bigquery-public-data.world_bank_intl_debt.international_debt;\n",
    "\"\"\"\n",
    "\n",
    "total_rows = read_gbq(query, project_id=project_id)\n",
    "\n",
    "total_rows"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c0fdb0b-b4a8-4e1c-818e-0987cbf4cc2d",
   "metadata": {},
   "source": [
    "### What is the total number of rows with null year values?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "db5c6fe7-f20e-47d8-a01b-bcd8bd2d3bf5",
   "metadata": {},
   "outputs": [
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading: 100%|\u001b[32m██████████\u001b[0m|\n"
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       "      <th></th>\n",
       "      <th>total_null_year_rows</th>\n",
       "    </tr>\n",
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      "text/plain": [
       "   total_null_year_rows\n",
       "0               3284415"
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     "execution_count": 8,
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   ],
   "source": [
    "query = \"\"\"\n",
    "SELECT COUNT(*) AS total_null_year_rows\n",
    "FROM bigquery-public-data.world_bank_intl_debt.international_debt\n",
    "WHERE year IS NULL;\n",
    "\"\"\"\n",
    "\n",
    "total_null_year_rows = read_gbq(query, project_id=project_id)\n",
    "\n",
    "total_null_year_rows"
   ]
  },
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   "cell_type": "markdown",
   "id": "7a03389a-0cbf-4e3d-bc2d-2439de4655e3",
   "metadata": {},
   "source": [
    "### What is the total number of rows with null debt values?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2622b0c7-cc00-425f-9790-4bd1a313c712",
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading: 100%|\u001b[32m██████████\u001b[0m|\n"
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       "   total_null_debt_rows\n",
       "0               3080295"
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   ],
   "source": [
    "query = \"\"\"\n",
    "SELECT COUNT(*) AS total_null_debt_rows\n",
    "FROM bigquery-public-data.world_bank_intl_debt.international_debt\n",
    "WHERE value IS NULL;\n",
    "\"\"\"\n",
    "\n",
    "total_null_debt_rows = read_gbq(query, project_id=project_id)\n",
    "\n",
    "total_null_debt_rows"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "36dac6f2-fd8c-4b1c-b303-01ace8ba148d",
   "metadata": {},
   "source": [
    "### What is the total number of rows with non-null debt values?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ee487f59-7bd5-4e66-a722-a7fd826b0509",
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading: 100%|\u001b[32m██████████\u001b[0m|\n"
     ]
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_non_null_debt_rows</th>\n",
       "    </tr>\n",
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      "text/plain": [
       "   total_non_null_debt_rows\n",
       "0                    204120"
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     "execution_count": 12,
     "metadata": {},
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   ],
   "source": [
    "query = \"\"\"\n",
    "SELECT COUNT(*) AS total_non_null_debt_rows\n",
    "FROM bigquery-public-data.world_bank_intl_debt.international_debt\n",
    "WHERE value IS NOT NULL;\n",
    "\"\"\"\n",
    "\n",
    "total_non_null_debt_rows = read_gbq(query, project_id=project_id)\n",
    "\n",
    "total_non_null_debt_rows"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e1f393af-ea69-47f6-bf21-4bd10e0bc187",
   "metadata": {},
   "source": [
    "### What is the total number of rows with non-null and non-zero debt values?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "8549b417-2c0c-46f4-8278-c3f97d9ff49f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading: 100%|\u001b[32m██████████\u001b[0m|\n"
     ]
    },
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_non_null_non_zero_debt_rows</th>\n",
       "    </tr>\n",
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      "text/plain": [
       "   total_non_null_non_zero_debt_rows\n",
       "0                             138152"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query = \"\"\"\n",
    "SELECT COUNT(*) AS total_non_null_non_zero_debt_rows\n",
    "FROM bigquery-public-data.world_bank_intl_debt.international_debt\n",
    "WHERE \n",
    "    value IS NOT NULL\n",
    "    AND value <> 0;\n",
    "\"\"\"\n",
    "\n",
    "total_non_null_non_zero_debt_rows = read_gbq(query, project_id=project_id)\n",
    "\n",
    "total_non_null_non_zero_debt_rows"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5f954b5-11f4-432b-a253-3ed04aab3d03",
   "metadata": {},
   "source": [
    "### How do the data look for a single country without null and zero debt values?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "2c3f8c5d-7872-4bde-bc0a-407102236bd6",
   "metadata": {
    "scrolled": true
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading: 100%|\u001b[32m██████████\u001b[0m|\n"
     ]
    },
    {
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       "      <th></th>\n",
       "      <th>country_name</th>\n",
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       "      <th>indicator_code</th>\n",
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       "      <th>0</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (AMT, current US$)</td>\n",
       "      <td>DT.AMT.BLAT.CD</td>\n",
       "      <td>51630506.9</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (AMT, current US$)</td>\n",
       "      <td>DT.AMT.BLAT.CD</td>\n",
       "      <td>51630506.9</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (AMT, current US$)</td>\n",
       "      <td>DT.AMT.BLAT.CD</td>\n",
       "      <td>51630506.9</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (AMT, current US$)</td>\n",
       "      <td>DT.AMT.BLAT.CD</td>\n",
       "      <td>51630506.9</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (AMT, current US$)</td>\n",
       "      <td>DT.AMT.BLAT.CD</td>\n",
       "      <td>51630506.9</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (AMT, current US$)</td>\n",
       "      <td>DT.AMT.BLAT.CD</td>\n",
       "      <td>51630506.9</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (AMT, current US$)</td>\n",
       "      <td>DT.AMT.BLAT.CD</td>\n",
       "      <td>51630506.9</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (AMT, current US$)</td>\n",
       "      <td>DT.AMT.BLAT.CD</td>\n",
       "      <td>51630506.9</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (AMT, current US$)</td>\n",
       "      <td>DT.AMT.BLAT.CD</td>\n",
       "      <td>51630506.9</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (AMT, current US$)</td>\n",
       "      <td>DT.AMT.BLAT.CD</td>\n",
       "      <td>51630506.9</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (AMT, current US$)</td>\n",
       "      <td>DT.AMT.BLAT.CD</td>\n",
       "      <td>51630506.9</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (AMT, current US$)</td>\n",
       "      <td>DT.AMT.BLAT.CD</td>\n",
       "      <td>51630506.9</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (AMT, current US$)</td>\n",
       "      <td>DT.AMT.BLAT.CD</td>\n",
       "      <td>51630506.9</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (INT, current US$)</td>\n",
       "      <td>DT.INT.BLAT.CD</td>\n",
       "      <td>2880958.8</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (INT, current US$)</td>\n",
       "      <td>DT.INT.BLAT.CD</td>\n",
       "      <td>2880958.8</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (INT, current US$)</td>\n",
       "      <td>DT.INT.BLAT.CD</td>\n",
       "      <td>2880958.8</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (INT, current US$)</td>\n",
       "      <td>DT.INT.BLAT.CD</td>\n",
       "      <td>2880958.8</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (INT, current US$)</td>\n",
       "      <td>DT.INT.BLAT.CD</td>\n",
       "      <td>2880958.8</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (INT, current US$)</td>\n",
       "      <td>DT.INT.BLAT.CD</td>\n",
       "      <td>2880958.8</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (INT, current US$)</td>\n",
       "      <td>DT.INT.BLAT.CD</td>\n",
       "      <td>2880958.8</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (INT, current US$)</td>\n",
       "      <td>DT.INT.BLAT.CD</td>\n",
       "      <td>2880958.8</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (INT, current US$)</td>\n",
       "      <td>DT.INT.BLAT.CD</td>\n",
       "      <td>2880958.8</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (INT, current US$)</td>\n",
       "      <td>DT.INT.BLAT.CD</td>\n",
       "      <td>2880958.8</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (INT, current US$)</td>\n",
       "      <td>DT.INT.BLAT.CD</td>\n",
       "      <td>2880958.8</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (INT, current US$)</td>\n",
       "      <td>DT.INT.BLAT.CD</td>\n",
       "      <td>2880958.8</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (INT, current US$)</td>\n",
       "      <td>DT.INT.BLAT.CD</td>\n",
       "      <td>2880958.8</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, multilateral (AMT, current US$)</td>\n",
       "      <td>DT.AMT.MLAT.CD</td>\n",
       "      <td>46187853.7</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, multilateral (AMT, current US$)</td>\n",
       "      <td>DT.AMT.MLAT.CD</td>\n",
       "      <td>46187853.7</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, multilateral (AMT, current US$)</td>\n",
       "      <td>DT.AMT.MLAT.CD</td>\n",
       "      <td>46187853.7</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, multilateral (AMT, current US$)</td>\n",
       "      <td>DT.AMT.MLAT.CD</td>\n",
       "      <td>46187853.7</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   country_name country_code                        indicator_name  \\\n",
       "0          Chad          TCD     PPG, bilateral (AMT, current US$)   \n",
       "1          Chad          TCD     PPG, bilateral (AMT, current US$)   \n",
       "2          Chad          TCD     PPG, bilateral (AMT, current US$)   \n",
       "3          Chad          TCD     PPG, bilateral (AMT, current US$)   \n",
       "4          Chad          TCD     PPG, bilateral (AMT, current US$)   \n",
       "5          Chad          TCD     PPG, bilateral (AMT, current US$)   \n",
       "6          Chad          TCD     PPG, bilateral (AMT, current US$)   \n",
       "7          Chad          TCD     PPG, bilateral (AMT, current US$)   \n",
       "8          Chad          TCD     PPG, bilateral (AMT, current US$)   \n",
       "9          Chad          TCD     PPG, bilateral (AMT, current US$)   \n",
       "10         Chad          TCD     PPG, bilateral (AMT, current US$)   \n",
       "11         Chad          TCD     PPG, bilateral (AMT, current US$)   \n",
       "12         Chad          TCD     PPG, bilateral (AMT, current US$)   \n",
       "13         Chad          TCD     PPG, bilateral (INT, current US$)   \n",
       "14         Chad          TCD     PPG, bilateral (INT, current US$)   \n",
       "15         Chad          TCD     PPG, bilateral (INT, current US$)   \n",
       "16         Chad          TCD     PPG, bilateral (INT, current US$)   \n",
       "17         Chad          TCD     PPG, bilateral (INT, current US$)   \n",
       "18         Chad          TCD     PPG, bilateral (INT, current US$)   \n",
       "19         Chad          TCD     PPG, bilateral (INT, current US$)   \n",
       "20         Chad          TCD     PPG, bilateral (INT, current US$)   \n",
       "21         Chad          TCD     PPG, bilateral (INT, current US$)   \n",
       "22         Chad          TCD     PPG, bilateral (INT, current US$)   \n",
       "23         Chad          TCD     PPG, bilateral (INT, current US$)   \n",
       "24         Chad          TCD     PPG, bilateral (INT, current US$)   \n",
       "25         Chad          TCD     PPG, bilateral (INT, current US$)   \n",
       "26         Chad          TCD  PPG, multilateral (AMT, current US$)   \n",
       "27         Chad          TCD  PPG, multilateral (AMT, current US$)   \n",
       "28         Chad          TCD  PPG, multilateral (AMT, current US$)   \n",
       "29         Chad          TCD  PPG, multilateral (AMT, current US$)   \n",
       "\n",
       "    indicator_code       value  year  \n",
       "0   DT.AMT.BLAT.CD  51630506.9  <NA>  \n",
       "1   DT.AMT.BLAT.CD  51630506.9  <NA>  \n",
       "2   DT.AMT.BLAT.CD  51630506.9  <NA>  \n",
       "3   DT.AMT.BLAT.CD  51630506.9  <NA>  \n",
       "4   DT.AMT.BLAT.CD  51630506.9  <NA>  \n",
       "5   DT.AMT.BLAT.CD  51630506.9  <NA>  \n",
       "6   DT.AMT.BLAT.CD  51630506.9  <NA>  \n",
       "7   DT.AMT.BLAT.CD  51630506.9  <NA>  \n",
       "8   DT.AMT.BLAT.CD  51630506.9  <NA>  \n",
       "9   DT.AMT.BLAT.CD  51630506.9  <NA>  \n",
       "10  DT.AMT.BLAT.CD  51630506.9  <NA>  \n",
       "11  DT.AMT.BLAT.CD  51630506.9  <NA>  \n",
       "12  DT.AMT.BLAT.CD  51630506.9  <NA>  \n",
       "13  DT.INT.BLAT.CD   2880958.8  <NA>  \n",
       "14  DT.INT.BLAT.CD   2880958.8  <NA>  \n",
       "15  DT.INT.BLAT.CD   2880958.8  <NA>  \n",
       "16  DT.INT.BLAT.CD   2880958.8  <NA>  \n",
       "17  DT.INT.BLAT.CD   2880958.8  <NA>  \n",
       "18  DT.INT.BLAT.CD   2880958.8  <NA>  \n",
       "19  DT.INT.BLAT.CD   2880958.8  <NA>  \n",
       "20  DT.INT.BLAT.CD   2880958.8  <NA>  \n",
       "21  DT.INT.BLAT.CD   2880958.8  <NA>  \n",
       "22  DT.INT.BLAT.CD   2880958.8  <NA>  \n",
       "23  DT.INT.BLAT.CD   2880958.8  <NA>  \n",
       "24  DT.INT.BLAT.CD   2880958.8  <NA>  \n",
       "25  DT.INT.BLAT.CD   2880958.8  <NA>  \n",
       "26  DT.AMT.MLAT.CD  46187853.7  <NA>  \n",
       "27  DT.AMT.MLAT.CD  46187853.7  <NA>  \n",
       "28  DT.AMT.MLAT.CD  46187853.7  <NA>  \n",
       "29  DT.AMT.MLAT.CD  46187853.7  <NA>  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query = \"\"\"\n",
    "SELECT *\n",
    "FROM bigquery-public-data.world_bank_intl_debt.international_debt\n",
    "WHERE\n",
    "    country_name='Chad'\n",
    "    AND value IS NOT NULL\n",
    "    AND value <> 0;\n",
    "\"\"\"\n",
    "\n",
    "chad_all_rows = read_gbq(query, project_id=project_id)\n",
    "\n",
    "chad_all_rows.head(30)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "304af857-19d3-448e-a0f4-7c8cea4948e5",
   "metadata": {},
   "source": [
    "### There are duplicate rows. What are the unique rows for Chad?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "4257d0f3-0f0c-49bb-a348-6b3c14af2673",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading: 100%|\u001b[32m██████████\u001b[0m|\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>country_name</th>\n",
       "      <th>country_code</th>\n",
       "      <th>indicator_name</th>\n",
       "      <th>indicator_code</th>\n",
       "      <th>value</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (AMT, current US$)</td>\n",
       "      <td>DT.AMT.BLAT.CD</td>\n",
       "      <td>51630506.9</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, bilateral (INT, current US$)</td>\n",
       "      <td>DT.INT.BLAT.CD</td>\n",
       "      <td>2880958.8</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, multilateral (AMT, current US$)</td>\n",
       "      <td>DT.AMT.MLAT.CD</td>\n",
       "      <td>46187853.7</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, multilateral (DIS, current US$)</td>\n",
       "      <td>DT.DIS.MLAT.CD</td>\n",
       "      <td>3863826.8</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, multilateral (INT, current US$)</td>\n",
       "      <td>DT.INT.MLAT.CD</td>\n",
       "      <td>8461452.2</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, official creditors (AMT, current US$)</td>\n",
       "      <td>DT.AMT.OFFT.CD</td>\n",
       "      <td>97818360.6</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, official creditors (DIS, current US$)</td>\n",
       "      <td>DT.DIS.OFFT.CD</td>\n",
       "      <td>3863826.8</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>PPG, official creditors (INT, current US$)</td>\n",
       "      <td>DT.INT.OFFT.CD</td>\n",
       "      <td>11342411.0</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>Disbursements on external debt, long-term (DIS, current US$)</td>\n",
       "      <td>DT.DIS.DLXF.CD</td>\n",
       "      <td>3863826.8</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>Interest payments on external debt, long-term (INT, current US$)</td>\n",
       "      <td>DT.INT.DLXF.CD</td>\n",
       "      <td>11342411.0</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>Principal repayments on external debt, long-term (AMT, current US$)</td>\n",
       "      <td>DT.AMT.DLXF.CD</td>\n",
       "      <td>97818360.6</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>Disbursements on external debt, public and publicly guaranteed (PPG) (DIS, current US$)</td>\n",
       "      <td>DT.DIS.DPPG.CD</td>\n",
       "      <td>3863826.8</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Chad</td>\n",
       "      <td>TCD</td>\n",
       "      <td>Principal repayments on external debt, public and publicly guaranteed (PPG) (AMT, current US$)</td>\n",
       "      <td>DT.AMT.DPPG.CD</td>\n",
       "      <td>97818360.6</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   country_name country_code  \\\n",
       "0          Chad          TCD   \n",
       "1          Chad          TCD   \n",
       "2          Chad          TCD   \n",
       "3          Chad          TCD   \n",
       "4          Chad          TCD   \n",
       "5          Chad          TCD   \n",
       "6          Chad          TCD   \n",
       "7          Chad          TCD   \n",
       "8          Chad          TCD   \n",
       "9          Chad          TCD   \n",
       "10         Chad          TCD   \n",
       "11         Chad          TCD   \n",
       "12         Chad          TCD   \n",
       "\n",
       "                                                                                    indicator_name  \\\n",
       "0                                                                PPG, bilateral (AMT, current US$)   \n",
       "1                                                                PPG, bilateral (INT, current US$)   \n",
       "2                                                             PPG, multilateral (AMT, current US$)   \n",
       "3                                                             PPG, multilateral (DIS, current US$)   \n",
       "4                                                             PPG, multilateral (INT, current US$)   \n",
       "5                                                       PPG, official creditors (AMT, current US$)   \n",
       "6                                                       PPG, official creditors (DIS, current US$)   \n",
       "7                                                       PPG, official creditors (INT, current US$)   \n",
       "8                                     Disbursements on external debt, long-term (DIS, current US$)   \n",
       "9                                 Interest payments on external debt, long-term (INT, current US$)   \n",
       "10                             Principal repayments on external debt, long-term (AMT, current US$)   \n",
       "11         Disbursements on external debt, public and publicly guaranteed (PPG) (DIS, current US$)   \n",
       "12  Principal repayments on external debt, public and publicly guaranteed (PPG) (AMT, current US$)   \n",
       "\n",
       "    indicator_code       value  year  \n",
       "0   DT.AMT.BLAT.CD  51630506.9  <NA>  \n",
       "1   DT.INT.BLAT.CD   2880958.8  <NA>  \n",
       "2   DT.AMT.MLAT.CD  46187853.7  <NA>  \n",
       "3   DT.DIS.MLAT.CD   3863826.8  <NA>  \n",
       "4   DT.INT.MLAT.CD   8461452.2  <NA>  \n",
       "5   DT.AMT.OFFT.CD  97818360.6  <NA>  \n",
       "6   DT.DIS.OFFT.CD   3863826.8  <NA>  \n",
       "7   DT.INT.OFFT.CD  11342411.0  <NA>  \n",
       "8   DT.DIS.DLXF.CD   3863826.8  <NA>  \n",
       "9   DT.INT.DLXF.CD  11342411.0  <NA>  \n",
       "10  DT.AMT.DLXF.CD  97818360.6  <NA>  \n",
       "11  DT.DIS.DPPG.CD   3863826.8  <NA>  \n",
       "12  DT.AMT.DPPG.CD  97818360.6  <NA>  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query = \"\"\"\n",
    "SELECT DISTINCT *\n",
    "FROM bigquery-public-data.world_bank_intl_debt.international_debt\n",
    "WHERE\n",
    "    country_name='Chad'\n",
    "    AND value IS NOT NULL\n",
    "    AND value <> 0;\n",
    "\"\"\"\n",
    "\n",
    "chad_unique_rows = read_gbq(query, project_id=project_id)\n",
    "\n",
    "chad_unique_rows"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "adab8bda-dc56-404a-8cfc-0bc4bae5d68a",
   "metadata": {},
   "source": [
    "### What is the total number of unique rows with non-null and non-zero debt values?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "4691dcb1-c260-46de-bb69-0cce7e34205a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading: 100%|\u001b[32m██████████\u001b[0m|\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>country_name</th>\n",
       "      <th>country_code</th>\n",
       "      <th>indicator_name</th>\n",
       "      <th>indicator_code</th>\n",
       "      <th>value</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1851</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>Interest payments on external debt, long-term (INT, current US$)</td>\n",
       "      <td>DT.INT.DLXF.CD</td>\n",
       "      <td>26582304.5</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2181</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>Principal repayments on external debt, private nonguaranteed (PNG) (AMT, current US$)</td>\n",
       "      <td>DT.AMT.DPNG.CD</td>\n",
       "      <td>680000.0</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>406</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>PPG, bilateral (INT, current US$)</td>\n",
       "      <td>DT.INT.BLAT.CD</td>\n",
       "      <td>17386007.9</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1986</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>Principal repayments on external debt, long-term (AMT, current US$)</td>\n",
       "      <td>DT.AMT.DLXF.CD</td>\n",
       "      <td>110796286.8</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2429</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>Principal repayments on external debt, public and publicly guaranteed (PPG) (AMT, current US$)</td>\n",
       "      <td>DT.AMT.DPPG.CD</td>\n",
       "      <td>110116286.8</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1721</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>Disbursements on external debt, long-term (DIS, current US$)</td>\n",
       "      <td>DT.DIS.DLXF.CD</td>\n",
       "      <td>1480636.7</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>666</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>PPG, multilateral (DIS, current US$)</td>\n",
       "      <td>DT.DIS.MLAT.CD</td>\n",
       "      <td>1480636.7</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1520</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>PPG, official creditors (INT, current US$)</td>\n",
       "      <td>DT.INT.OFFT.CD</td>\n",
       "      <td>26502304.5</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>796</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>PPG, multilateral (INT, current US$)</td>\n",
       "      <td>DT.INT.MLAT.CD</td>\n",
       "      <td>9116296.6</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>PPG, bilateral (AMT, current US$)</td>\n",
       "      <td>DT.AMT.BLAT.CD</td>\n",
       "      <td>63880573.3</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>538</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>PPG, multilateral (AMT, current US$)</td>\n",
       "      <td>DT.AMT.MLAT.CD</td>\n",
       "      <td>46235713.5</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2089</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>Interest payments on external debt, private nonguaranteed (PNG) (INT, current US$)</td>\n",
       "      <td>DT.INT.DPNG.CD</td>\n",
       "      <td>80000.0</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2299</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>Disbursements on external debt, public and publicly guaranteed (PPG) (DIS, current US$)</td>\n",
       "      <td>DT.DIS.DPPG.CD</td>\n",
       "      <td>1480636.7</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1390</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>PPG, official creditors (DIS, current US$)</td>\n",
       "      <td>DT.DIS.OFFT.CD</td>\n",
       "      <td>1480636.7</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1260</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>AFG</td>\n",
       "      <td>PPG, official creditors (AMT, current US$)</td>\n",
       "      <td>DT.AMT.OFFT.CD</td>\n",
       "      <td>110116286.8</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1195</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>PPG, official creditors (AMT, current US$)</td>\n",
       "      <td>DT.AMT.OFFT.CD</td>\n",
       "      <td>241816581.5</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2133</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>Principal repayments on external debt, private nonguaranteed (PNG) (AMT, current US$)</td>\n",
       "      <td>DT.AMT.DPNG.CD</td>\n",
       "      <td>116966000.0</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1006</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>PPG, private creditors (AMT, current US$)</td>\n",
       "      <td>DT.AMT.PRVT.CD</td>\n",
       "      <td>24231184.9</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1089</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>PPG, private creditors (INT, current US$)</td>\n",
       "      <td>DT.INT.PRVT.CD</td>\n",
       "      <td>605705.0</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1786</th>\n",
       "      <td>Albania</td>\n",
       "      <td>ALB</td>\n",
       "      <td>Interest payments on external debt, long-term (INT, current US$)</td>\n",
       "      <td>DT.INT.DLXF.CD</td>\n",
       "      <td>27679620.1</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     country_name country_code  \\\n",
       "1851  Afghanistan          AFG   \n",
       "2181  Afghanistan          AFG   \n",
       "406   Afghanistan          AFG   \n",
       "1986  Afghanistan          AFG   \n",
       "2429  Afghanistan          AFG   \n",
       "1721  Afghanistan          AFG   \n",
       "666   Afghanistan          AFG   \n",
       "1520  Afghanistan          AFG   \n",
       "796   Afghanistan          AFG   \n",
       "204   Afghanistan          AFG   \n",
       "538   Afghanistan          AFG   \n",
       "2089  Afghanistan          AFG   \n",
       "2299  Afghanistan          AFG   \n",
       "1390  Afghanistan          AFG   \n",
       "1260  Afghanistan          AFG   \n",
       "1195      Albania          ALB   \n",
       "2133      Albania          ALB   \n",
       "1006      Albania          ALB   \n",
       "1089      Albania          ALB   \n",
       "1786      Albania          ALB   \n",
       "\n",
       "                                                                                      indicator_name  \\\n",
       "1851                                Interest payments on external debt, long-term (INT, current US$)   \n",
       "2181           Principal repayments on external debt, private nonguaranteed (PNG) (AMT, current US$)   \n",
       "406                                                                PPG, bilateral (INT, current US$)   \n",
       "1986                             Principal repayments on external debt, long-term (AMT, current US$)   \n",
       "2429  Principal repayments on external debt, public and publicly guaranteed (PPG) (AMT, current US$)   \n",
       "1721                                    Disbursements on external debt, long-term (DIS, current US$)   \n",
       "666                                                             PPG, multilateral (DIS, current US$)   \n",
       "1520                                                      PPG, official creditors (INT, current US$)   \n",
       "796                                                             PPG, multilateral (INT, current US$)   \n",
       "204                                                                PPG, bilateral (AMT, current US$)   \n",
       "538                                                             PPG, multilateral (AMT, current US$)   \n",
       "2089              Interest payments on external debt, private nonguaranteed (PNG) (INT, current US$)   \n",
       "2299         Disbursements on external debt, public and publicly guaranteed (PPG) (DIS, current US$)   \n",
       "1390                                                      PPG, official creditors (DIS, current US$)   \n",
       "1260                                                      PPG, official creditors (AMT, current US$)   \n",
       "1195                                                      PPG, official creditors (AMT, current US$)   \n",
       "2133           Principal repayments on external debt, private nonguaranteed (PNG) (AMT, current US$)   \n",
       "1006                                                       PPG, private creditors (AMT, current US$)   \n",
       "1089                                                       PPG, private creditors (INT, current US$)   \n",
       "1786                                Interest payments on external debt, long-term (INT, current US$)   \n",
       "\n",
       "      indicator_code        value  year  \n",
       "1851  DT.INT.DLXF.CD   26582304.5  <NA>  \n",
       "2181  DT.AMT.DPNG.CD     680000.0  <NA>  \n",
       "406   DT.INT.BLAT.CD   17386007.9  <NA>  \n",
       "1986  DT.AMT.DLXF.CD  110796286.8  <NA>  \n",
       "2429  DT.AMT.DPPG.CD  110116286.8  <NA>  \n",
       "1721  DT.DIS.DLXF.CD    1480636.7  <NA>  \n",
       "666   DT.DIS.MLAT.CD    1480636.7  <NA>  \n",
       "1520  DT.INT.OFFT.CD   26502304.5  <NA>  \n",
       "796   DT.INT.MLAT.CD    9116296.6  <NA>  \n",
       "204   DT.AMT.BLAT.CD   63880573.3  <NA>  \n",
       "538   DT.AMT.MLAT.CD   46235713.5  <NA>  \n",
       "2089  DT.INT.DPNG.CD      80000.0  <NA>  \n",
       "2299  DT.DIS.DPPG.CD    1480636.7  <NA>  \n",
       "1390  DT.DIS.OFFT.CD    1480636.7  <NA>  \n",
       "1260  DT.AMT.OFFT.CD  110116286.8  <NA>  \n",
       "1195  DT.AMT.OFFT.CD  241816581.5  <NA>  \n",
       "2133  DT.AMT.DPNG.CD  116966000.0  <NA>  \n",
       "1006  DT.AMT.PRVT.CD   24231184.9  <NA>  \n",
       "1089  DT.INT.PRVT.CD     605705.0  <NA>  \n",
       "1786  DT.INT.DLXF.CD   27679620.1  <NA>  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(2467, 6)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query = \"\"\"\n",
    "SELECT DISTINCT *\n",
    "FROM bigquery-public-data.world_bank_intl_debt.international_debt\n",
    "WHERE\n",
    "    value IS NOT NULL\n",
    "    AND value <> 0;\n",
    "\"\"\"\n",
    "\n",
    "all_unique_rows = read_gbq(query, project_id=project_id)\n",
    "\n",
    "display(all_unique_rows.sort_values('country_name').head(20))\n",
    "\n",
    "all_unique_rows.sort_values('country_name').shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d86e7fb-2ea1-458c-ab15-7c41f5a07c91",
   "metadata": {},
   "source": [
    "### What is the number of distinct countries and groups in the table?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "b0d7a79c-01c9-4000-8014-317faa50c536",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading: 100%|\u001b[32m██████████\u001b[0m|\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>total_distinct_countries_groups</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>135</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   total_distinct_countries_groups\n",
       "0                              135"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query = \"\"\"\n",
    "SELECT COUNT(DISTINCT country_name) AS total_distinct_countries_groups\n",
    "FROM bigquery-public-data.world_bank_intl_debt.international_debt;\n",
    "\"\"\"\n",
    "\n",
    "total_distinct_countries_groups = read_gbq(query, project_id=project_id)\n",
    "\n",
    "total_distinct_countries_groups"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "03051edd-3bfd-452c-bf68-e683d0786acf",
   "metadata": {},
   "source": [
    "### What are the distinct countries and groups in the table?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "ca748ad8-42b0-46fa-a2fa-3cb89c9a1d36",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading: 100%|\u001b[32m██████████\u001b[0m|\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>country_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Chad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Fiji</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mali</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Peru</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Togo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Benin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>China</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Gabon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Ghana</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Haiti</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>India</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Kenya</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Nepal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Niger</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Samoa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Sudan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Tonga</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Angola</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Belize</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Bhutan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Brazil</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Guinea</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Guyana</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Jordan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Kosovo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Malawi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Mexico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Rwanda</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Serbia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Turkey</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Uganda</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Zambia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Albania</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Algeria</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Armenia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Belarus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Bolivia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Burundi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Comoros</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Ecuador</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Eritrea</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Georgia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Grenada</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Jamaica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Lao PDR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Lebanon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Lesotho</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Liberia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Moldova</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Morocco</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Myanmar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Nigeria</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Romania</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Senegal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Somalia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Tunisia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Ukraine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Vanuatu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Vietnam</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Botswana</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Bulgaria</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Cambodia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Cameroon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Colombia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Dominica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Eswatini</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Ethiopia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Honduras</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>IDA only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Maldives</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Mongolia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Pakistan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>Paraguay</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Tanzania</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Thailand</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Zimbabwe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>Argentina</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Guatemala</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Indonesia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Mauritius</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Nicaragua</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Sri Lanka</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>St. Lucia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Azerbaijan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Bangladesh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Cabo Verde</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Costa Rica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Kazakhstan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Low income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Madagascar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Mauritania</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Montenegro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Mozambique</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>South Asia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Tajikistan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Uzbekistan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Afghanistan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>Congo, Rep.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>El Salvador</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Gambia, The</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Philippines</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Timor-Leste</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Burkina Faso</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>Sierra Leone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>South Africa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>Turkmenistan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>Cote d'Ivoire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>Guinea-Bissau</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>Middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>Venezuela, RB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>Kyrgyz Republic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>North Macedonia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>Solomon Islands</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>Congo, Dem. Rep.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>Egypt, Arab Rep.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>Papua New Guinea</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>Dominican Republic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>Iran, Islamic Rep.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>Russian Federation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>Low &amp; middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>Lower middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>Syrian Arab Republic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>Sao Tome and Principe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>Bosnia and Herzegovina</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>Central African Republic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>St. Vincent and the Grenadines</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>Sub-Saharan Africa (excluding high income)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>East Asia &amp; Pacific (excluding high income)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>Least developed countries: UN classification</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>Europe &amp; Central Asia (excluding high income)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>Latin America &amp; Caribbean (excluding high income)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>Middle East &amp; North Africa (excluding high income)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>Djibouti</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           country_name\n",
       "0                                                  Chad\n",
       "1                                                  Fiji\n",
       "2                                                  Mali\n",
       "3                                                  Peru\n",
       "4                                                  Togo\n",
       "5                                                 Benin\n",
       "6                                                 China\n",
       "7                                                 Gabon\n",
       "8                                                 Ghana\n",
       "9                                                 Haiti\n",
       "10                                                India\n",
       "11                                                Kenya\n",
       "12                                                Nepal\n",
       "13                                                Niger\n",
       "14                                                Samoa\n",
       "15                                                Sudan\n",
       "16                                                Tonga\n",
       "17                                               Angola\n",
       "18                                               Belize\n",
       "19                                               Bhutan\n",
       "20                                               Brazil\n",
       "21                                               Guinea\n",
       "22                                               Guyana\n",
       "23                                               Jordan\n",
       "24                                               Kosovo\n",
       "25                                               Malawi\n",
       "26                                               Mexico\n",
       "27                                               Rwanda\n",
       "28                                               Serbia\n",
       "29                                               Turkey\n",
       "30                                               Uganda\n",
       "31                                               Zambia\n",
       "32                                              Albania\n",
       "33                                              Algeria\n",
       "34                                              Armenia\n",
       "35                                              Belarus\n",
       "36                                              Bolivia\n",
       "37                                              Burundi\n",
       "38                                              Comoros\n",
       "39                                              Ecuador\n",
       "40                                              Eritrea\n",
       "41                                              Georgia\n",
       "42                                              Grenada\n",
       "43                                              Jamaica\n",
       "44                                              Lao PDR\n",
       "45                                              Lebanon\n",
       "46                                              Lesotho\n",
       "47                                              Liberia\n",
       "48                                              Moldova\n",
       "49                                              Morocco\n",
       "50                                              Myanmar\n",
       "51                                              Nigeria\n",
       "52                                              Romania\n",
       "53                                              Senegal\n",
       "54                                              Somalia\n",
       "55                                              Tunisia\n",
       "56                                              Ukraine\n",
       "57                                              Vanuatu\n",
       "58                                              Vietnam\n",
       "59                                             Botswana\n",
       "60                                             Bulgaria\n",
       "61                                             Cambodia\n",
       "62                                             Cameroon\n",
       "63                                             Colombia\n",
       "64                                             Dominica\n",
       "65                                             Eswatini\n",
       "66                                             Ethiopia\n",
       "67                                             Honduras\n",
       "68                                             IDA only\n",
       "69                                             Maldives\n",
       "70                                             Mongolia\n",
       "71                                             Pakistan\n",
       "72                                             Paraguay\n",
       "73                                             Tanzania\n",
       "74                                             Thailand\n",
       "75                                             Zimbabwe\n",
       "76                                            Argentina\n",
       "77                                            Guatemala\n",
       "78                                            Indonesia\n",
       "79                                            Mauritius\n",
       "80                                            Nicaragua\n",
       "81                                            Sri Lanka\n",
       "82                                            St. Lucia\n",
       "83                                           Azerbaijan\n",
       "84                                           Bangladesh\n",
       "85                                           Cabo Verde\n",
       "86                                           Costa Rica\n",
       "87                                           Kazakhstan\n",
       "88                                           Low income\n",
       "89                                           Madagascar\n",
       "90                                           Mauritania\n",
       "91                                           Montenegro\n",
       "92                                           Mozambique\n",
       "93                                           South Asia\n",
       "94                                           Tajikistan\n",
       "95                                           Uzbekistan\n",
       "96                                          Afghanistan\n",
       "97                                          Congo, Rep.\n",
       "98                                          El Salvador\n",
       "99                                          Gambia, The\n",
       "100                                         Philippines\n",
       "101                                         Timor-Leste\n",
       "102                                         Yemen, Rep.\n",
       "103                                        Burkina Faso\n",
       "104                                        Sierra Leone\n",
       "105                                        South Africa\n",
       "106                                        Turkmenistan\n",
       "107                                       Cote d'Ivoire\n",
       "108                                       Guinea-Bissau\n",
       "109                                       Middle income\n",
       "110                                       Venezuela, RB\n",
       "111                                     Kyrgyz Republic\n",
       "112                                     North Macedonia\n",
       "113                                     Solomon Islands\n",
       "114                                    Congo, Dem. Rep.\n",
       "115                                    Egypt, Arab Rep.\n",
       "116                                    Papua New Guinea\n",
       "117                                  Dominican Republic\n",
       "118                                  Iran, Islamic Rep.\n",
       "119                                  Russian Federation\n",
       "120                                 Low & middle income\n",
       "121                                 Lower middle income\n",
       "122                                 Upper middle income\n",
       "123                                Syrian Arab Republic\n",
       "124                               Sao Tome and Principe\n",
       "125                              Bosnia and Herzegovina\n",
       "126                            Central African Republic\n",
       "127                      St. Vincent and the Grenadines\n",
       "128          Sub-Saharan Africa (excluding high income)\n",
       "129         East Asia & Pacific (excluding high income)\n",
       "130        Least developed countries: UN classification\n",
       "131       Europe & Central Asia (excluding high income)\n",
       "132   Latin America & Caribbean (excluding high income)\n",
       "133  Middle East & North Africa (excluding high income)\n",
       "134                                            Djibouti"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query = \"\"\"\n",
    "SELECT DISTINCT country_name\n",
    "FROM bigquery-public-data.world_bank_intl_debt.international_debt;\n",
    "\"\"\"\n",
    "\n",
    "distinct_countries_groups = read_gbq(query, project_id=project_id)\n",
    "\n",
    "distinct_countries_groups"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25922ddf-2d02-451f-804b-0d35d30d5fc2",
   "metadata": {},
   "source": [
    "### What are the distinct countries?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "ae819836-5ae9-4ed7-bf5e-e92ae5f7e538",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading: 100%|\u001b[32m██████████\u001b[0m|\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>country_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Chad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Fiji</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mali</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Peru</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Togo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Benin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>China</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Gabon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Ghana</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Haiti</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>India</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Kenya</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Nepal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Niger</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Samoa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Sudan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Tonga</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Angola</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Belize</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Bhutan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Brazil</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Guinea</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Guyana</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Jordan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Kosovo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Malawi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Mexico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Rwanda</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Serbia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Turkey</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Uganda</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Zambia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Albania</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Algeria</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Armenia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Belarus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Bolivia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Burundi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Comoros</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Ecuador</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Eritrea</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Georgia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Grenada</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Jamaica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Lao PDR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Lebanon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Lesotho</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Liberia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Moldova</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Morocco</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Myanmar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Nigeria</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Romania</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Senegal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Somalia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Tunisia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Ukraine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Vanuatu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Vietnam</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Botswana</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Bulgaria</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Cambodia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Cameroon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Colombia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Dominica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Eswatini</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Ethiopia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Honduras</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Maldives</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Mongolia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Pakistan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Paraguay</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>Tanzania</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Thailand</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Zimbabwe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Argentina</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>Guatemala</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Indonesia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Mauritius</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Nicaragua</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Sri Lanka</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>St. Lucia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Azerbaijan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Bangladesh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Cabo Verde</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Costa Rica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Kazakhstan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Madagascar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Mauritania</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Montenegro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Mozambique</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Tajikistan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Uzbekistan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>Afghanistan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Congo, Rep.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>El Salvador</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Gambia, The</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>Philippines</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Timor-Leste</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Yemen, Rep.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Burkina Faso</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Sierra Leone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>South Africa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Turkmenistan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>Cote d'Ivoire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>Guinea-Bissau</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>Venezuela, RB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>Kyrgyz Republic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>North Macedonia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>Solomon Islands</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>Congo, Dem. Rep.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>Egypt, Arab Rep.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>Papua New Guinea</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>Dominican Republic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>Iran, Islamic Rep.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>Russian Federation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>Syrian Arab Republic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>Sao Tome and Principe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>Bosnia and Herzegovina</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>Central African Republic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>St. Vincent and the Grenadines</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>Djibouti</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       country_name\n",
       "0                              Chad\n",
       "1                              Fiji\n",
       "2                              Mali\n",
       "3                              Peru\n",
       "4                              Togo\n",
       "5                             Benin\n",
       "6                             China\n",
       "7                             Gabon\n",
       "8                             Ghana\n",
       "9                             Haiti\n",
       "10                            India\n",
       "11                            Kenya\n",
       "12                            Nepal\n",
       "13                            Niger\n",
       "14                            Samoa\n",
       "15                            Sudan\n",
       "16                            Tonga\n",
       "17                           Angola\n",
       "18                           Belize\n",
       "19                           Bhutan\n",
       "20                           Brazil\n",
       "21                           Guinea\n",
       "22                           Guyana\n",
       "23                           Jordan\n",
       "24                           Kosovo\n",
       "25                           Malawi\n",
       "26                           Mexico\n",
       "27                           Rwanda\n",
       "28                           Serbia\n",
       "29                           Turkey\n",
       "30                           Uganda\n",
       "31                           Zambia\n",
       "32                          Albania\n",
       "33                          Algeria\n",
       "34                          Armenia\n",
       "35                          Belarus\n",
       "36                          Bolivia\n",
       "37                          Burundi\n",
       "38                          Comoros\n",
       "39                          Ecuador\n",
       "40                          Eritrea\n",
       "41                          Georgia\n",
       "42                          Grenada\n",
       "43                          Jamaica\n",
       "44                          Lao PDR\n",
       "45                          Lebanon\n",
       "46                          Lesotho\n",
       "47                          Liberia\n",
       "48                          Moldova\n",
       "49                          Morocco\n",
       "50                          Myanmar\n",
       "51                          Nigeria\n",
       "52                          Romania\n",
       "53                          Senegal\n",
       "54                          Somalia\n",
       "55                          Tunisia\n",
       "56                          Ukraine\n",
       "57                          Vanuatu\n",
       "58                          Vietnam\n",
       "59                         Botswana\n",
       "60                         Bulgaria\n",
       "61                         Cambodia\n",
       "62                         Cameroon\n",
       "63                         Colombia\n",
       "64                         Dominica\n",
       "65                         Eswatini\n",
       "66                         Ethiopia\n",
       "67                         Honduras\n",
       "68                         Maldives\n",
       "69                         Mongolia\n",
       "70                         Pakistan\n",
       "71                         Paraguay\n",
       "72                         Tanzania\n",
       "73                         Thailand\n",
       "74                         Zimbabwe\n",
       "75                        Argentina\n",
       "76                        Guatemala\n",
       "77                        Indonesia\n",
       "78                        Mauritius\n",
       "79                        Nicaragua\n",
       "80                        Sri Lanka\n",
       "81                        St. Lucia\n",
       "82                       Azerbaijan\n",
       "83                       Bangladesh\n",
       "84                       Cabo Verde\n",
       "85                       Costa Rica\n",
       "86                       Kazakhstan\n",
       "87                       Madagascar\n",
       "88                       Mauritania\n",
       "89                       Montenegro\n",
       "90                       Mozambique\n",
       "91                       Tajikistan\n",
       "92                       Uzbekistan\n",
       "93                      Afghanistan\n",
       "94                      Congo, Rep.\n",
       "95                      El Salvador\n",
       "96                      Gambia, The\n",
       "97                      Philippines\n",
       "98                      Timor-Leste\n",
       "99                      Yemen, Rep.\n",
       "100                    Burkina Faso\n",
       "101                    Sierra Leone\n",
       "102                    South Africa\n",
       "103                    Turkmenistan\n",
       "104                   Cote d'Ivoire\n",
       "105                   Guinea-Bissau\n",
       "106                   Venezuela, RB\n",
       "107                 Kyrgyz Republic\n",
       "108                 North Macedonia\n",
       "109                 Solomon Islands\n",
       "110                Congo, Dem. Rep.\n",
       "111                Egypt, Arab Rep.\n",
       "112                Papua New Guinea\n",
       "113              Dominican Republic\n",
       "114              Iran, Islamic Rep.\n",
       "115              Russian Federation\n",
       "116            Syrian Arab Republic\n",
       "117           Sao Tome and Principe\n",
       "118          Bosnia and Herzegovina\n",
       "119        Central African Republic\n",
       "120  St. Vincent and the Grenadines\n",
       "121                        Djibouti"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query = \"\"\"\n",
    "SELECT DISTINCT country_name\n",
    "FROM bigquery-public-data.world_bank_intl_debt.international_debt\n",
    "WHERE\n",
    "    (country_name NOT LIKE '%income%' \n",
    "    AND country_name NOT LIKE '%UN classification'\n",
    "    AND country_name NOT LIKE 'IDA only'\n",
    "    AND country_name NOT LIKE 'South Asia');\n",
    "\"\"\"\n",
    "\n",
    "distinct_countries = read_gbq(query, project_id=project_id)\n",
    "\n",
    "distinct_countries"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64a9de9f-b712-4d94-884a-e0c4d301faef",
   "metadata": {},
   "source": [
    "### What are the distinct groups?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "9d08df87-be84-44b0-b6c8-df6025ffaa44",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading: 100%|\u001b[32m██████████\u001b[0m|\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>country_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>IDA only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Low income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>South Asia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Low &amp; middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Lower middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Upper middle income</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Sub-Saharan Africa (excluding high income)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>East Asia &amp; Pacific (excluding high income)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Least developed countries: UN classification</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Europe &amp; Central Asia (excluding high income)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Latin America &amp; Caribbean (excluding high income)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Middle East &amp; North Africa (excluding high income)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          country_name\n",
       "0                                             IDA only\n",
       "1                                           Low income\n",
       "2                                           South Asia\n",
       "3                                        Middle income\n",
       "4                                  Low & middle income\n",
       "5                                  Lower middle income\n",
       "6                                  Upper middle income\n",
       "7           Sub-Saharan Africa (excluding high income)\n",
       "8          East Asia & Pacific (excluding high income)\n",
       "9         Least developed countries: UN classification\n",
       "10       Europe & Central Asia (excluding high income)\n",
       "11   Latin America & Caribbean (excluding high income)\n",
       "12  Middle East & North Africa (excluding high income)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query = \"\"\"\n",
    "SELECT DISTINCT country_name\n",
    "FROM bigquery-public-data.world_bank_intl_debt.international_debt\n",
    "WHERE\n",
    "    (country_name LIKE '%income%' \n",
    "    OR country_name LIKE '%UN classification'\n",
    "    OR country_name LIKE 'IDA only'\n",
    "    OR country_name LIKE 'South Asia');\n",
    "\"\"\"\n",
    "\n",
    "distinct_groups = read_gbq(query, project_id=project_id)\n",
    "\n",
    "distinct_groups"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "239363e2-a8ab-4143-af8a-82d303e3610a",
   "metadata": {},
   "source": [
    "### What are the top 10 countries in terms of total debt?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "a42c718e-fed5-4df5-98e1-90561ac51dd9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading: 100%|\u001b[32m██████████\u001b[0m|\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>country_name</th>\n",
       "      <th>total_debt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Mexico</td>\n",
       "      <td>1.117621e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>India</td>\n",
       "      <td>7.909658e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>6.887453e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Russian Federation</td>\n",
       "      <td>6.466601e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Argentina</td>\n",
       "      <td>6.357673e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>China</td>\n",
       "      <td>6.075786e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Turkey</td>\n",
       "      <td>6.061654e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Indonesia</td>\n",
       "      <td>5.047649e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Colombia</td>\n",
       "      <td>3.802160e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Venezuela, RB</td>\n",
       "      <td>3.169062e+10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         country_name    total_debt\n",
       "0              Mexico  1.117621e+11\n",
       "1               India  7.909658e+10\n",
       "2              Brazil  6.887453e+10\n",
       "3  Russian Federation  6.466601e+10\n",
       "4           Argentina  6.357673e+10\n",
       "5               China  6.075786e+10\n",
       "6              Turkey  6.061654e+10\n",
       "7           Indonesia  5.047649e+10\n",
       "8            Colombia  3.802160e+10\n",
       "9       Venezuela, RB  3.169062e+10"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# DISTINCT value is extracted to ignore duplicate rows\n",
    "\n",
    "query = \"\"\"\n",
    "SELECT\n",
    "    country_name,\n",
    "    SUM(DISTINCT value) AS total_debt\n",
    "FROM bigquery-public-data.world_bank_intl_debt.international_debt\n",
    "WHERE\n",
    "    (country_name NOT LIKE '%income%' \n",
    "    AND country_name NOT LIKE '%UN classification'\n",
    "    AND country_name NOT LIKE 'IDA only'\n",
    "    AND country_name NOT LIKE 'South Asia')\n",
    "GROUP BY country_name\n",
    "ORDER BY total_debt DESC\n",
    "LIMIT 10;\n",
    "\"\"\"\n",
    "\n",
    "highest_debt_countries = read_gbq(query, project_id=project_id)\n",
    "\n",
    "highest_debt_countries"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0dd4c36d-97ac-4956-a20c-5b8dbc7874f9",
   "metadata": {},
   "source": [
    "### What is the total debt owed (in trillions) by all the countries present in the table?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "4591d9d1-46d8-468e-8740-9ea796a2387b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading: 100%|\u001b[32m██████████\u001b[0m|\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>total_debt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   total_debt\n",
       "0        1.05"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# DISTINCT value is extracted to ignore duplicate rows\n",
    "\n",
    "query = \"\"\"\n",
    "SELECT\n",
    "    ROUND(SUM(DISTINCT value) / 1E12, 2) AS total_debt\n",
    "FROM bigquery-public-data.world_bank_intl_debt.international_debt\n",
    "WHERE\n",
    "    (country_name NOT LIKE '%income%' \n",
    "    AND country_name NOT LIKE '%UN classification'\n",
    "    AND country_name NOT LIKE 'IDA only'\n",
    "    AND country_name NOT LIKE 'South Asia');\n",
    "\"\"\"\n",
    "\n",
    "total_debt_trillions = read_gbq(query, project_id=project_id)\n",
    "\n",
    "total_debt_trillions"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67bc5582-5d04-4ba0-81b4-97d7458c49f9",
   "metadata": {},
   "source": [
    "### Explore the country_summary table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "da95447d-6dc8-43fd-899d-f55a8130ce23",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading: 100%|\u001b[32m██████████\u001b[0m|\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>country_code</th>\n",
       "      <th>short_name</th>\n",
       "      <th>table_name</th>\n",
       "      <th>long_name</th>\n",
       "      <th>two_alpha_code</th>\n",
       "      <th>currency_unit</th>\n",
       "      <th>special_notes</th>\n",
       "      <th>region</th>\n",
       "      <th>income_group</th>\n",
       "      <th>wb_2_code</th>\n",
       "      <th>...</th>\n",
       "      <th>government_accounting_concept</th>\n",
       "      <th>imf_data_dissemination_standard</th>\n",
       "      <th>latest_population_census</th>\n",
       "      <th>latest_household_survey</th>\n",
       "      <th>source_of_most_recent_Income_and_expenditure_data</th>\n",
       "      <th>vital_registration_complete</th>\n",
       "      <th>latest_agricultural_census</th>\n",
       "      <th>latest_industrial_data</th>\n",
       "      <th>latest_trade_data</th>\n",
       "      <th>latest_water_withdrawal_data</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>EAP</td>\n",
       "      <td>East Asia &amp; Pacific (excluding high income)</td>\n",
       "      <td>East Asia &amp; Pacific (excluding high income)</td>\n",
       "      <td>East Asia &amp; Pacific (excluding high income)</td>\n",
       "      <td>4E</td>\n",
       "      <td>None</td>\n",
       "      <td>East Asia and Pacific regional aggregate (does not include high-income economies).</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>4E</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ECA</td>\n",
       "      <td>Europe &amp; Central Asia (excluding high income)</td>\n",
       "      <td>Europe &amp; Central Asia (excluding high income)</td>\n",
       "      <td>Europe &amp; Central Asia (excluding high income)</td>\n",
       "      <td>7E</td>\n",
       "      <td>None</td>\n",
       "      <td>Europe and Central Asia regional aggregate (does not include high-income economies).</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>7E</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  country_code                                     short_name  \\\n",
       "0          EAP    East Asia & Pacific (excluding high income)   \n",
       "1          ECA  Europe & Central Asia (excluding high income)   \n",
       "\n",
       "                                      table_name  \\\n",
       "0    East Asia & Pacific (excluding high income)   \n",
       "1  Europe & Central Asia (excluding high income)   \n",
       "\n",
       "                                       long_name two_alpha_code currency_unit  \\\n",
       "0    East Asia & Pacific (excluding high income)             4E          None   \n",
       "1  Europe & Central Asia (excluding high income)             7E          None   \n",
       "\n",
       "                                                                          special_notes  \\\n",
       "0    East Asia and Pacific regional aggregate (does not include high-income economies).   \n",
       "1  Europe and Central Asia regional aggregate (does not include high-income economies).   \n",
       "\n",
       "  region income_group wb_2_code  ... government_accounting_concept  \\\n",
       "0   None         None        4E  ...                          None   \n",
       "1   None         None        7E  ...                          None   \n",
       "\n",
       "  imf_data_dissemination_standard latest_population_census  \\\n",
       "0                            None                     None   \n",
       "1                            None                     None   \n",
       "\n",
       "  latest_household_survey source_of_most_recent_Income_and_expenditure_data  \\\n",
       "0                    None                                              None   \n",
       "1                    None                                              None   \n",
       "\n",
       "  vital_registration_complete latest_agricultural_census  \\\n",
       "0                        None                       None   \n",
       "1                        None                       None   \n",
       "\n",
       "  latest_industrial_data latest_trade_data latest_water_withdrawal_data  \n",
       "0                   <NA>              <NA>                         None  \n",
       "1                   <NA>              <NA>                         None  \n",
       "\n",
       "[2 rows x 31 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query = \"\"\"\n",
    "SELECT *\n",
    "FROM bigquery-public-data.world_bank_intl_debt.country_summary;\n",
    "\"\"\"\n",
    "\n",
    "country_summary = read_gbq(query, project_id=project_id)\n",
    "\n",
    "country_summary.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9eede5c0-dea9-4849-8000-b60977853aa1",
   "metadata": {},
   "source": [
    "### What are the total number of countries and total debt for each income group?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "8424ffb6-4d97-4034-9439-697f6a2ad1ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading: 100%|\u001b[32m██████████\u001b[0m|\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>income_group</th>\n",
       "      <th>total_countries</th>\n",
       "      <th>total_debt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>49</td>\n",
       "      <td>6.922503e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>44</td>\n",
       "      <td>3.363433e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Low income</td>\n",
       "      <td>29</td>\n",
       "      <td>2.678503e+10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          income_group  total_countries    total_debt\n",
       "0  Upper middle income               49  6.922503e+11\n",
       "1  Lower middle income               44  3.363433e+11\n",
       "2           Low income               29  2.678503e+10"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# DISTINCT value is extracted to ignore duplicate rows\n",
    "# 'region' field in country_summary table is used to ignore region records\n",
    "\n",
    "query = \"\"\"\n",
    "SELECT\n",
    "    income_group,\n",
    "    COUNT(DISTINCT country_name) AS total_countries,\n",
    "    SUM(DISTINCT value) AS total_debt\n",
    "FROM bigquery-public-data.world_bank_intl_debt.international_debt\n",
    "LEFT JOIN bigquery-public-data.world_bank_intl_debt.country_summary\n",
    "USING(country_code)\n",
    "WHERE region IS NOT NULL\n",
    "GROUP BY income_group\n",
    "ORDER BY total_debt DESC;\n",
    "\"\"\"\n",
    "\n",
    "countries_debt_per_income_group = read_gbq(query, project_id=project_id)\n",
    "\n",
    "countries_debt_per_income_group"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "166fbfab-d0ad-40ad-8e34-ee17d969df89",
   "metadata": {},
   "source": [
    "### What are the total number of countries and total debt for each region?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "b79509c9-33d4-41f2-b854-6306d4b9b832",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading: 100%|\u001b[32m██████████\u001b[0m|\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>region</th>\n",
       "      <th>total_countries</th>\n",
       "      <th>total_debt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Latin America &amp; Caribbean</td>\n",
       "      <td>23</td>\n",
       "      <td>3.804131e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Europe &amp; Central Asia</td>\n",
       "      <td>21</td>\n",
       "      <td>2.181831e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>East Asia &amp; Pacific</td>\n",
       "      <td>16</td>\n",
       "      <td>1.642425e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>South Asia</td>\n",
       "      <td>8</td>\n",
       "      <td>1.246566e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Sub-Saharan Africa</td>\n",
       "      <td>44</td>\n",
       "      <td>1.122147e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Middle East &amp; North Africa</td>\n",
       "      <td>10</td>\n",
       "      <td>5.781361e+10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       region  total_countries    total_debt\n",
       "0   Latin America & Caribbean               23  3.804131e+11\n",
       "1       Europe & Central Asia               21  2.181831e+11\n",
       "2         East Asia & Pacific               16  1.642425e+11\n",
       "3                  South Asia                8  1.246566e+11\n",
       "4          Sub-Saharan Africa               44  1.122147e+11\n",
       "5  Middle East & North Africa               10  5.781361e+10"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# DISTINCT value is extracted to ignore duplicate rows\n",
    "# 'region' field in country_summary table is used to ignore region records\n",
    "\n",
    "query = \"\"\"\n",
    "SELECT\n",
    "    region,\n",
    "    COUNT(DISTINCT country_name) AS total_countries,\n",
    "    SUM(DISTINCT value) AS total_debt\n",
    "FROM bigquery-public-data.world_bank_intl_debt.international_debt\n",
    "LEFT JOIN bigquery-public-data.world_bank_intl_debt.country_summary\n",
    "USING(country_code)\n",
    "WHERE region IS NOT NULL\n",
    "GROUP BY region\n",
    "ORDER BY total_debt DESC;\n",
    "\"\"\"\n",
    "\n",
    "countries_debt_per_region = read_gbq(query, project_id=project_id)\n",
    "\n",
    "countries_debt_per_region"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c216d16c-8916-4033-a63e-11e6f88dfd8d",
   "metadata": {},
   "source": [
    "### What is the total debt for each region and income group combination?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "a2e05064-9e0d-4c1c-bb8b-063fb92cf45c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading: 100%|\u001b[32m██████████\u001b[0m|\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>region</th>\n",
       "      <th>income_group</th>\n",
       "      <th>total_debt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Latin America &amp; Caribbean</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>3.702959e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Europe &amp; Central Asia</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>1.930479e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>South Asia</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>1.080962e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>East Asia &amp; Pacific</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>9.618623e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>East Asia &amp; Pacific</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>6.805630e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Sub-Saharan Africa</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>6.343110e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Middle East &amp; North Africa</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>3.555920e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Sub-Saharan Africa</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2.581028e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Europe &amp; Central Asia</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>2.430604e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Sub-Saharan Africa</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2.297335e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Middle East &amp; North Africa</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>2.130285e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>South Asia</td>\n",
       "      <td>Upper middle income</td>\n",
       "      <td>1.473712e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Latin America &amp; Caribbean</td>\n",
       "      <td>Lower middle income</td>\n",
       "      <td>9.909438e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>South Asia</td>\n",
       "      <td>Low income</td>\n",
       "      <td>1.823208e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Middle East &amp; North Africa</td>\n",
       "      <td>Low income</td>\n",
       "      <td>9.515590e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Europe &amp; Central Asia</td>\n",
       "      <td>Low income</td>\n",
       "      <td>8.291449e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Latin America &amp; Caribbean</td>\n",
       "      <td>Low income</td>\n",
       "      <td>2.077645e+08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        region         income_group    total_debt\n",
       "0    Latin America & Caribbean  Upper middle income  3.702959e+11\n",
       "1        Europe & Central Asia  Upper middle income  1.930479e+11\n",
       "2                   South Asia  Lower middle income  1.080962e+11\n",
       "3          East Asia & Pacific  Lower middle income  9.618623e+10\n",
       "4          East Asia & Pacific  Upper middle income  6.805630e+10\n",
       "5           Sub-Saharan Africa  Lower middle income  6.343110e+10\n",
       "6   Middle East & North Africa  Lower middle income  3.555920e+10\n",
       "7           Sub-Saharan Africa  Upper middle income  2.581028e+10\n",
       "8        Europe & Central Asia  Lower middle income  2.430604e+10\n",
       "9           Sub-Saharan Africa           Low income  2.297335e+10\n",
       "10  Middle East & North Africa  Upper middle income  2.130285e+10\n",
       "11                  South Asia  Upper middle income  1.473712e+10\n",
       "12   Latin America & Caribbean  Lower middle income  9.909438e+09\n",
       "13                  South Asia           Low income  1.823208e+09\n",
       "14  Middle East & North Africa           Low income  9.515590e+08\n",
       "15       Europe & Central Asia           Low income  8.291449e+08\n",
       "16   Latin America & Caribbean           Low income  2.077645e+08"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# DISTINCT value is extracted to ignore duplicate rows\n",
    "# 'region' field in country_summary table is used to ignore region records\n",
    "\n",
    "query = \"\"\"\n",
    "SELECT\n",
    "    region,\n",
    "    income_group,\n",
    "    SUM(DISTINCT value) AS total_debt\n",
    "FROM bigquery-public-data.world_bank_intl_debt.international_debt\n",
    "LEFT JOIN bigquery-public-data.world_bank_intl_debt.country_summary\n",
    "USING(country_code)\n",
    "WHERE region IS NOT NULL\n",
    "GROUP BY region, income_group\n",
    "ORDER BY total_debt DESC;\n",
    "\"\"\"\n",
    "\n",
    "debt_per_region_income_combination = read_gbq(query, project_id=project_id)\n",
    "\n",
    "debt_per_region_income_combination"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "78e26325-7508-43f5-bca3-45ddb600bed0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot debt_per_region_income_combination\n",
    "sns.barplot(data=debt_per_region_income_combination, x='total_debt', y='region', hue='income_group', errorbar=None, palette=['green','orange','red'])\n",
    "plt.title('Figure 1: Total debt per region and income group')\n",
    "plt.xlabel('Total debt (USD)', labelpad=8.0)\n",
    "plt.ylabel('Region')\n",
    "plt.legend(title=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bce6408a-4e5a-4b97-bade-4af9b3dbd867",
   "metadata": {},
   "source": [
    "### What are the distinct debt indicators that have non-zero total debt?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "7ec6cd74-a6f8-4a5c-b2e2-68efcd54775e",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading: 100%|\u001b[32m██████████\u001b[0m|\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>indicator_code</th>\n",
       "      <th>indicator_name</th>\n",
       "      <th>total_debt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>DT.AMT.BLAT.CD</td>\n",
       "      <td>PPG, bilateral (AMT, current US$)</td>\n",
       "      <td>1.738546e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>DT.AMT.DLXF.CD</td>\n",
       "      <td>Principal repayments on external debt, long-term (AMT, current US$)</td>\n",
       "      <td>1.361473e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>DT.AMT.DPNG.CD</td>\n",
       "      <td>Principal repayments on external debt, private nonguaranteed (PNG) (AMT, current US$)</td>\n",
       "      <td>5.012070e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>DT.AMT.DPPG.CD</td>\n",
       "      <td>Principal repayments on external debt, public and publicly guaranteed (PPG) (AMT, current US$)</td>\n",
       "      <td>8.602655e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>DT.AMT.MLAT.CD</td>\n",
       "      <td>PPG, multilateral (AMT, current US$)</td>\n",
       "      <td>2.515296e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>DT.AMT.OFFT.CD</td>\n",
       "      <td>PPG, official creditors (AMT, current US$)</td>\n",
       "      <td>4.253842e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>DT.AMT.PBND.CD</td>\n",
       "      <td>PPG, bonds (AMT, current US$)</td>\n",
       "      <td>2.851193e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>DT.AMT.PCBK.CD</td>\n",
       "      <td>PPG, commercial banks (AMT, current US$)</td>\n",
       "      <td>6.876301e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>DT.AMT.PROP.CD</td>\n",
       "      <td>PPG, other private creditors (AMT, current US$)</td>\n",
       "      <td>4.996780e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>DT.AMT.PRVT.CD</td>\n",
       "      <td>PPG, private creditors (AMT, current US$)</td>\n",
       "      <td>4.348813e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>DT.DIS.BLAT.CD</td>\n",
       "      <td>PPG, bilateral (DIS, current US$)</td>\n",
       "      <td>8.554050e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>DT.DIS.DLXF.CD</td>\n",
       "      <td>Disbursements on external debt, long-term (DIS, current US$)</td>\n",
       "      <td>2.317751e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>DT.DIS.DPPG.CD</td>\n",
       "      <td>Disbursements on external debt, public and publicly guaranteed (PPG) (DIS, current US$)</td>\n",
       "      <td>2.317751e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>DT.DIS.MLAT.CD</td>\n",
       "      <td>PPG, multilateral (DIS, current US$)</td>\n",
       "      <td>1.462346e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>DT.DIS.OFFT.CD</td>\n",
       "      <td>PPG, official creditors (DIS, current US$)</td>\n",
       "      <td>2.317751e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>DT.INT.BLAT.CD</td>\n",
       "      <td>PPG, bilateral (INT, current US$)</td>\n",
       "      <td>4.322974e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>DT.INT.DLXF.CD</td>\n",
       "      <td>Interest payments on external debt, long-term (INT, current US$)</td>\n",
       "      <td>4.078205e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>DT.INT.DPNG.CD</td>\n",
       "      <td>Interest payments on external debt, private nonguaranteed (PNG) (INT, current US$)</td>\n",
       "      <td>9.991740e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>DT.INT.MLAT.CD</td>\n",
       "      <td>PPG, multilateral (INT, current US$)</td>\n",
       "      <td>5.651552e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>DT.INT.OFFT.CD</td>\n",
       "      <td>PPG, official creditors (INT, current US$)</td>\n",
       "      <td>9.974526e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>DT.INT.PBND.CD</td>\n",
       "      <td>PPG, bonds (INT, current US$)</td>\n",
       "      <td>1.415723e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>DT.INT.PCBK.CD</td>\n",
       "      <td>PPG, commercial banks (INT, current US$)</td>\n",
       "      <td>2.175043e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>DT.INT.PROP.CD</td>\n",
       "      <td>PPG, other private creditors (INT, current US$)</td>\n",
       "      <td>9.803564e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>DT.INT.PRVT.CD</td>\n",
       "      <td>PPG, private creditors (INT, current US$)</td>\n",
       "      <td>2.081578e+11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    indicator_code  \\\n",
       "0   DT.AMT.BLAT.CD   \n",
       "1   DT.AMT.DLXF.CD   \n",
       "2   DT.AMT.DPNG.CD   \n",
       "3   DT.AMT.DPPG.CD   \n",
       "4   DT.AMT.MLAT.CD   \n",
       "5   DT.AMT.OFFT.CD   \n",
       "6   DT.AMT.PBND.CD   \n",
       "7   DT.AMT.PCBK.CD   \n",
       "8   DT.AMT.PROP.CD   \n",
       "9   DT.AMT.PRVT.CD   \n",
       "10  DT.DIS.BLAT.CD   \n",
       "11  DT.DIS.DLXF.CD   \n",
       "12  DT.DIS.DPPG.CD   \n",
       "13  DT.DIS.MLAT.CD   \n",
       "14  DT.DIS.OFFT.CD   \n",
       "15  DT.INT.BLAT.CD   \n",
       "16  DT.INT.DLXF.CD   \n",
       "17  DT.INT.DPNG.CD   \n",
       "18  DT.INT.MLAT.CD   \n",
       "19  DT.INT.OFFT.CD   \n",
       "20  DT.INT.PBND.CD   \n",
       "21  DT.INT.PCBK.CD   \n",
       "22  DT.INT.PROP.CD   \n",
       "23  DT.INT.PRVT.CD   \n",
       "\n",
       "                                                                                    indicator_name  \\\n",
       "0                                                                PPG, bilateral (AMT, current US$)   \n",
       "1                              Principal repayments on external debt, long-term (AMT, current US$)   \n",
       "2            Principal repayments on external debt, private nonguaranteed (PNG) (AMT, current US$)   \n",
       "3   Principal repayments on external debt, public and publicly guaranteed (PPG) (AMT, current US$)   \n",
       "4                                                             PPG, multilateral (AMT, current US$)   \n",
       "5                                                       PPG, official creditors (AMT, current US$)   \n",
       "6                                                                    PPG, bonds (AMT, current US$)   \n",
       "7                                                         PPG, commercial banks (AMT, current US$)   \n",
       "8                                                  PPG, other private creditors (AMT, current US$)   \n",
       "9                                                        PPG, private creditors (AMT, current US$)   \n",
       "10                                                               PPG, bilateral (DIS, current US$)   \n",
       "11                                    Disbursements on external debt, long-term (DIS, current US$)   \n",
       "12         Disbursements on external debt, public and publicly guaranteed (PPG) (DIS, current US$)   \n",
       "13                                                            PPG, multilateral (DIS, current US$)   \n",
       "14                                                      PPG, official creditors (DIS, current US$)   \n",
       "15                                                               PPG, bilateral (INT, current US$)   \n",
       "16                                Interest payments on external debt, long-term (INT, current US$)   \n",
       "17              Interest payments on external debt, private nonguaranteed (PNG) (INT, current US$)   \n",
       "18                                                            PPG, multilateral (INT, current US$)   \n",
       "19                                                      PPG, official creditors (INT, current US$)   \n",
       "20                                                                   PPG, bonds (INT, current US$)   \n",
       "21                                                        PPG, commercial banks (INT, current US$)   \n",
       "22                                                 PPG, other private creditors (INT, current US$)   \n",
       "23                                                       PPG, private creditors (INT, current US$)   \n",
       "\n",
       "      total_debt  \n",
       "0   1.738546e+11  \n",
       "1   1.361473e+12  \n",
       "2   5.012070e+11  \n",
       "3   8.602655e+11  \n",
       "4   2.515296e+11  \n",
       "5   4.253842e+11  \n",
       "6   2.851193e+11  \n",
       "7   6.876301e+10  \n",
       "8   4.996780e+09  \n",
       "9   4.348813e+11  \n",
       "10  8.554050e+09  \n",
       "11  2.317751e+10  \n",
       "12  2.317751e+10  \n",
       "13  1.462346e+10  \n",
       "14  2.317751e+10  \n",
       "15  4.322974e+10  \n",
       "16  4.078205e+11  \n",
       "17  9.991740e+10  \n",
       "18  5.651552e+10  \n",
       "19  9.974526e+10  \n",
       "20  1.415723e+11  \n",
       "21  2.175043e+10  \n",
       "22  9.803564e+09  \n",
       "23  2.081578e+11  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# DISTINCT value is extracted to ignore duplicate rows\n",
    "\n",
    "query = \"\"\"\n",
    "SELECT\n",
    "    indicator_code,\n",
    "    indicator_name,\n",
    "    SUM(DISTINCT value) AS total_debt\n",
    "FROM bigquery-public-data.world_bank_intl_debt.international_debt\n",
    "GROUP BY\n",
    "    indicator_code,\n",
    "    indicator_name\n",
    "HAVING total_debt <> 0\n",
    "ORDER BY indicator_code;\n",
    "\"\"\"\n",
    "\n",
    "distinct_debt_indicators = read_gbq(query, project_id=project_id)\n",
    "\n",
    "distinct_debt_indicators"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc4ab460-d81d-4483-a25d-954a95b5991d",
   "metadata": {},
   "source": [
    "### Explore the series_summary table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "bd9972b7-9104-4373-82cb-7717752fa4d4",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading: 100%|\u001b[32m██████████\u001b[0m|\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>series_code</th>\n",
       "      <th>topic</th>\n",
       "      <th>indicator_name</th>\n",
       "      <th>short_definition</th>\n",
       "      <th>long_definition</th>\n",
       "      <th>unit_of_measure</th>\n",
       "      <th>periodicity</th>\n",
       "      <th>base_period</th>\n",
       "      <th>other_notes</th>\n",
       "      <th>aggregation_method</th>\n",
       "      <th>limitations_and_exceptions</th>\n",
       "      <th>notes_from_original_source</th>\n",
       "      <th>general_comments</th>\n",
       "      <th>source</th>\n",
       "      <th>statistical_concept_and_methodology</th>\n",
       "      <th>development_relevance</th>\n",
       "      <th>related_source_links</th>\n",
       "      <th>other_web_links</th>\n",
       "      <th>related_indicators</th>\n",
       "      <th>license_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BM.GSR.TOTL.CD</td>\n",
       "      <td>Economic Policy &amp; Debt: Balance of payments: Current account: Goods, services &amp; income</td>\n",
       "      <td>Imports of goods, services and primary income (current US$)</td>\n",
       "      <td>Imports of goods, services and primary income is the sum of goods (merchandise) imports, imports of (nonfactor) services and income (factor) payments. Data are in current U.S. dollars.</td>\n",
       "      <td>Imports of goods, services and income is the sum of goods (merchandise) imports, imports of (nonfactor) services and primary income (factor) payments. Data are in current U.S. dollars.</td>\n",
       "      <td>None</td>\n",
       "      <td>Annual</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Gap-filled total</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>International Monetary Fund, Balance of Payments Statistics Yearbook.</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BN.CAB.XOKA.CD</td>\n",
       "      <td>Economic Policy &amp; Debt: Balance of payments: Current account: Balances</td>\n",
       "      <td>Current account balance (current US$)</td>\n",
       "      <td>Current account balance shows the difference between the sum of exports and income receivable and the sum of imports and income payable (exports and imports refer to both goods and services, while income refers to both primary and secondary income).</td>\n",
       "      <td>Current account balance shows the difference between the sum of exports and income receivable and the sum of imports and income payable (exports and imports refer to both goods and services, while income refers to both primary and secondary income).</td>\n",
       "      <td>None</td>\n",
       "      <td>Annual</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Sum</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>International Monetary Fund, Balance of Payments Statistics Yearbook.</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      series_code  \\\n",
       "0  BM.GSR.TOTL.CD   \n",
       "1  BN.CAB.XOKA.CD   \n",
       "\n",
       "                                                                                    topic  \\\n",
       "0  Economic Policy & Debt: Balance of payments: Current account: Goods, services & income   \n",
       "1                  Economic Policy & Debt: Balance of payments: Current account: Balances   \n",
       "\n",
       "                                                indicator_name  \\\n",
       "0  Imports of goods, services and primary income (current US$)   \n",
       "1                        Current account balance (current US$)   \n",
       "\n",
       "                                                                                                                                                                                                                                            short_definition  \\\n",
       "0                                                                   Imports of goods, services and primary income is the sum of goods (merchandise) imports, imports of (nonfactor) services and income (factor) payments. Data are in current U.S. dollars.   \n",
       "1  Current account balance shows the difference between the sum of exports and income receivable and the sum of imports and income payable (exports and imports refer to both goods and services, while income refers to both primary and secondary income).   \n",
       "\n",
       "                                                                                                                                                                                                                                             long_definition  \\\n",
       "0                                                                   Imports of goods, services and income is the sum of goods (merchandise) imports, imports of (nonfactor) services and primary income (factor) payments. Data are in current U.S. dollars.   \n",
       "1  Current account balance shows the difference between the sum of exports and income receivable and the sum of imports and income payable (exports and imports refer to both goods and services, while income refers to both primary and secondary income).   \n",
       "\n",
       "  unit_of_measure periodicity base_period other_notes aggregation_method  \\\n",
       "0            None      Annual        None        None   Gap-filled total   \n",
       "1            None      Annual        None        None                Sum   \n",
       "\n",
       "  limitations_and_exceptions notes_from_original_source general_comments  \\\n",
       "0                       None                       None             None   \n",
       "1                       None                       None             None   \n",
       "\n",
       "                                                                  source  \\\n",
       "0  International Monetary Fund, Balance of Payments Statistics Yearbook.   \n",
       "1  International Monetary Fund, Balance of Payments Statistics Yearbook.   \n",
       "\n",
       "  statistical_concept_and_methodology development_relevance  \\\n",
       "0                                None                  None   \n",
       "1                                None                  None   \n",
       "\n",
       "  related_source_links other_web_links related_indicators license_type  \n",
       "0                 None            None               None         None  \n",
       "1                 None            None               None         None  "
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query = \"\"\"\n",
    "SELECT *\n",
    "FROM bigquery-public-data.world_bank_intl_debt.series_summary;\n",
    "\"\"\"\n",
    "\n",
    "series_summary = read_gbq(query, project_id=project_id)\n",
    "\n",
    "series_summary.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f944e4a7-64e4-4d74-8ad8-ef725e5c1ac9",
   "metadata": {},
   "source": [
    "### What are the top 10 indicators in terms of total debt, and what are their definitions?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "c432b72b-73c4-45f2-b5f2-1de93ace1f15",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading: 100%|\u001b[32m██████████\u001b[0m|\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>indicator_code</th>\n",
       "      <th>indicator_name</th>\n",
       "      <th>total_debt</th>\n",
       "      <th>short_definition</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>DT.AMT.DLXF.CD</td>\n",
       "      <td>Principal repayments on external debt, long-term (AMT, current US$)</td>\n",
       "      <td>2.652405e+11</td>\n",
       "      <td>Principal repayments on long-term debt are actual amounts of principal (amortization) paid by the borrower in currency, goods, or services in the year specified. Long-term external debt is defined as debt that has an original or extended maturity of more than one year and that is owed to nonresidents by residents of an economy and repayable in currency, goods, or services. Data are in current U.S. dollars.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>DT.AMT.DPPG.CD</td>\n",
       "      <td>Principal repayments on external debt, public and publicly guaranteed (PPG) (AMT, current US$)</td>\n",
       "      <td>1.657962e+11</td>\n",
       "      <td>Public and publicly guaranteed long-term debt are aggregated. Public debt is an external obligation of a public debtor, including the national government, a political subdivision (or an agency of either), and autonomous public bodies. Publicly guaranteed debt is an external obligation of a private debtor that is guaranteed for repayment by a public entity. Principal repayments are actual amounts of principal (amortization) paid by the borrower in currency, goods, or services in the year specified. Long-term external debt is defined as debt that has an original or extended maturity of more than one year and that is owed to nonresidents by residents of an economy and repayable in currency, goods, or services. Data are in current U.S. dollars.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>DT.AMT.DPNG.CD</td>\n",
       "      <td>Principal repayments on external debt, private nonguaranteed (PNG) (AMT, current US$)</td>\n",
       "      <td>9.944430e+10</td>\n",
       "      <td>Private nonguaranteed external debt is an external obligation of a private debtor that is not guaranteed for repayment by a public entity. Principal repayments are actual amounts of principal (amortization) paid by the borrower in currency, goods, or services in the year specified. Long-term external debt is defined as debt that has an original or extended maturity of more than one year and that is owed to nonresidents by residents of an economy and repayable in currency, goods, or services. Data are in current U.S. dollars.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>DT.AMT.PRVT.CD</td>\n",
       "      <td>PPG, private creditors (AMT, current US$)</td>\n",
       "      <td>8.583962e+10</td>\n",
       "      <td>Public and publicly guaranteed debt from private creditors include bonds that are either publicly issued or privately placed; commercial bank loans from private banks and other private financial institutions; and other private credits from manufacturers, exporters, and other suppliers of goods, and bank credits covered by a guarantee of an export credit agency. Principal repayments are actual amounts of principal (amortization) paid by the borrower in currency, goods, or services in the year specified. Data are in current U.S. dollars.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>DT.AMT.OFFT.CD</td>\n",
       "      <td>PPG, official creditors (AMT, current US$)</td>\n",
       "      <td>7.995661e+10</td>\n",
       "      <td>Public and publicly guaranteed debt from official creditors includes loans from international organizations (multilateral loans) and loans from governments (bilateral loans). Loans from international organization include loans and credits from the World Bank, regional development banks, and other multilateral and intergovernmental agencies. Excluded are loans from funds administered by an international organization on behalf of a single donor government; these are classified as loans from governments. Government loans include loans from governments and their agencies (including central banks), loans from autonomous bodies, and direct loans from official export credit agencies. Principal repayments are actual amounts of principal (amortization) paid by the borrower in currency, goods, or services in the year specified. Data are in current U.S. dollars.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>DT.INT.DLXF.CD</td>\n",
       "      <td>Interest payments on external debt, long-term (INT, current US$)</td>\n",
       "      <td>7.986880e+10</td>\n",
       "      <td>Interest payments on long-term debt are actual amounts of interest paid by the borrower in currency, goods, or services in the year specified. Long-term external debt is defined as debt that has an original or extended maturity of more than one year and that is owed to nonresidents by residents of an economy and repayable in currency, goods, or services. Data are in current U.S. dollars.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>DT.AMT.PBND.CD</td>\n",
       "      <td>PPG, bonds (AMT, current US$)</td>\n",
       "      <td>6.671165e+10</td>\n",
       "      <td>Public and publicly guaranteed debt from bonds that are either publicly issued or privately placed. Principal repayments are actual amounts of principal (amortization) paid by the borrower in currency, goods, or services in the year specified. Data are in current U.S. dollars.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>DT.AMT.MLAT.CD</td>\n",
       "      <td>PPG, multilateral (AMT, current US$)</td>\n",
       "      <td>4.806751e+10</td>\n",
       "      <td>Public and publicly guaranteed multilateral loans include loans and credits from the World Bank, regional development banks, and other multilateral and intergovernmental agencies. Excluded are loans from funds administered by an international organization on behalf of a single donor government; these are classified as loans from governments. Principal repayments are actual amounts of principal (amortization) paid by the borrower in currency, goods, or services in the year specified. Data are in current U.S. dollars.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>DT.INT.PRVT.CD</td>\n",
       "      <td>PPG, private creditors (INT, current US$)</td>\n",
       "      <td>4.130093e+10</td>\n",
       "      <td>Public and publicly guaranteed debt from private creditors include bonds that are either publicly issued or privately placed; commercial bank loans from private banks and other private financial institutions; and other private credits from manufacturers, exporters, and other suppliers of goods, and bank credits covered by a guarantee of an export credit agency. Interest payments are actual amounts of interest paid by the borrower in currency, goods, or services in the year specified. Data are in current U.S. dollars.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>DT.INT.PBND.CD</td>\n",
       "      <td>PPG, bonds (INT, current US$)</td>\n",
       "      <td>3.503144e+10</td>\n",
       "      <td>Public and publicly guaranteed debt from bonds that are either publicly issued or privately placed. Interest payments are actual amounts of interest paid by the borrower in currency, goods, or services in the year specified. Data are in current U.S. dollars.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   indicator_code  \\\n",
       "0  DT.AMT.DLXF.CD   \n",
       "1  DT.AMT.DPPG.CD   \n",
       "2  DT.AMT.DPNG.CD   \n",
       "3  DT.AMT.PRVT.CD   \n",
       "4  DT.AMT.OFFT.CD   \n",
       "5  DT.INT.DLXF.CD   \n",
       "6  DT.AMT.PBND.CD   \n",
       "7  DT.AMT.MLAT.CD   \n",
       "8  DT.INT.PRVT.CD   \n",
       "9  DT.INT.PBND.CD   \n",
       "\n",
       "                                                                                   indicator_name  \\\n",
       "0                             Principal repayments on external debt, long-term (AMT, current US$)   \n",
       "1  Principal repayments on external debt, public and publicly guaranteed (PPG) (AMT, current US$)   \n",
       "2           Principal repayments on external debt, private nonguaranteed (PNG) (AMT, current US$)   \n",
       "3                                                       PPG, private creditors (AMT, current US$)   \n",
       "4                                                      PPG, official creditors (AMT, current US$)   \n",
       "5                                Interest payments on external debt, long-term (INT, current US$)   \n",
       "6                                                                   PPG, bonds (AMT, current US$)   \n",
       "7                                                            PPG, multilateral (AMT, current US$)   \n",
       "8                                                       PPG, private creditors (INT, current US$)   \n",
       "9                                                                   PPG, bonds (INT, current US$)   \n",
       "\n",
       "     total_debt  \\\n",
       "0  2.652405e+11   \n",
       "1  1.657962e+11   \n",
       "2  9.944430e+10   \n",
       "3  8.583962e+10   \n",
       "4  7.995661e+10   \n",
       "5  7.986880e+10   \n",
       "6  6.671165e+10   \n",
       "7  4.806751e+10   \n",
       "8  4.130093e+10   \n",
       "9  3.503144e+10   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  short_definition  \n",
       "0                                                                                                                                                                                                                                                                                                                                                                                                                                                                        Principal repayments on long-term debt are actual amounts of principal (amortization) paid by the borrower in currency, goods, or services in the year specified. Long-term external debt is defined as debt that has an original or extended maturity of more than one year and that is owed to nonresidents by residents of an economy and repayable in currency, goods, or services. Data are in current U.S. dollars.  \n",
       "1                                                                                                                   Public and publicly guaranteed long-term debt are aggregated. Public debt is an external obligation of a public debtor, including the national government, a political subdivision (or an agency of either), and autonomous public bodies. Publicly guaranteed debt is an external obligation of a private debtor that is guaranteed for repayment by a public entity. Principal repayments are actual amounts of principal (amortization) paid by the borrower in currency, goods, or services in the year specified. Long-term external debt is defined as debt that has an original or extended maturity of more than one year and that is owed to nonresidents by residents of an economy and repayable in currency, goods, or services. Data are in current U.S. dollars.  \n",
       "2                                                                                                                                                                                                                                                                                                                                               Private nonguaranteed external debt is an external obligation of a private debtor that is not guaranteed for repayment by a public entity. Principal repayments are actual amounts of principal (amortization) paid by the borrower in currency, goods, or services in the year specified. Long-term external debt is defined as debt that has an original or extended maturity of more than one year and that is owed to nonresidents by residents of an economy and repayable in currency, goods, or services. Data are in current U.S. dollars.  \n",
       "3                                                                                                                                                                                                                                                                                                                                    Public and publicly guaranteed debt from private creditors include bonds that are either publicly issued or privately placed; commercial bank loans from private banks and other private financial institutions; and other private credits from manufacturers, exporters, and other suppliers of goods, and bank credits covered by a guarantee of an export credit agency. Principal repayments are actual amounts of principal (amortization) paid by the borrower in currency, goods, or services in the year specified. Data are in current U.S. dollars.  \n",
       "4  Public and publicly guaranteed debt from official creditors includes loans from international organizations (multilateral loans) and loans from governments (bilateral loans). Loans from international organization include loans and credits from the World Bank, regional development banks, and other multilateral and intergovernmental agencies. Excluded are loans from funds administered by an international organization on behalf of a single donor government; these are classified as loans from governments. Government loans include loans from governments and their agencies (including central banks), loans from autonomous bodies, and direct loans from official export credit agencies. Principal repayments are actual amounts of principal (amortization) paid by the borrower in currency, goods, or services in the year specified. Data are in current U.S. dollars.  \n",
       "5                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           Interest payments on long-term debt are actual amounts of interest paid by the borrower in currency, goods, or services in the year specified. Long-term external debt is defined as debt that has an original or extended maturity of more than one year and that is owed to nonresidents by residents of an economy and repayable in currency, goods, or services. Data are in current U.S. dollars.  \n",
       "6                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            Public and publicly guaranteed debt from bonds that are either publicly issued or privately placed. Principal repayments are actual amounts of principal (amortization) paid by the borrower in currency, goods, or services in the year specified. Data are in current U.S. dollars.  \n",
       "7                                                                                                                                                                                                                                                                                                                                                        Public and publicly guaranteed multilateral loans include loans and credits from the World Bank, regional development banks, and other multilateral and intergovernmental agencies. Excluded are loans from funds administered by an international organization on behalf of a single donor government; these are classified as loans from governments. Principal repayments are actual amounts of principal (amortization) paid by the borrower in currency, goods, or services in the year specified. Data are in current U.S. dollars.  \n",
       "8                                                                                                                                                                                                                                                                                                                                                       Public and publicly guaranteed debt from private creditors include bonds that are either publicly issued or privately placed; commercial bank loans from private banks and other private financial institutions; and other private credits from manufacturers, exporters, and other suppliers of goods, and bank credits covered by a guarantee of an export credit agency. Interest payments are actual amounts of interest paid by the borrower in currency, goods, or services in the year specified. Data are in current U.S. dollars.  \n",
       "9                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               Public and publicly guaranteed debt from bonds that are either publicly issued or privately placed. Interest payments are actual amounts of interest paid by the borrower in currency, goods, or services in the year specified. Data are in current U.S. dollars.  "
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# DISTINCT value is extracted to ignore duplicate rows\n",
    "\n",
    "query = \"\"\"\n",
    "SELECT\n",
    "    indicator_code,\n",
    "    t1.indicator_name,\n",
    "    SUM(DISTINCT value) AS total_debt,\n",
    "    short_definition\n",
    "FROM bigquery-public-data.world_bank_intl_debt.international_debt AS t1\n",
    "LEFT JOIN bigquery-public-data.world_bank_intl_debt.series_summary AS t2\n",
    "ON t1.indicator_code = t2.series_code\n",
    "WHERE\n",
    "    (country_name NOT LIKE '%income%' \n",
    "    AND country_name NOT LIKE '%UN classification'\n",
    "    AND country_name NOT LIKE 'IDA only'\n",
    "    AND country_name NOT LIKE 'South Asia')\n",
    "GROUP BY\n",
    "    indicator_code,\n",
    "    indicator_name,\n",
    "    short_definition\n",
    "ORDER BY total_debt DESC\n",
    "LIMIT 10;\n",
    "\"\"\"\n",
    "\n",
    "highest_debt_indicators = read_gbq(query, project_id=project_id)\n",
    "\n",
    "highest_debt_indicators"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b94fa9c-af57-402b-9910-35be56a5f0cd",
   "metadata": {},
   "source": [
    "### Which country has the highest debt in the \"DT.AMT.DLXF.CD\" category?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "c83da520-f670-4f84-941a-b808fc427fa7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading: 100%|\u001b[32m██████████\u001b[0m|\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>country_name</th>\n",
       "      <th>indicator_name</th>\n",
       "      <th>debt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>India</td>\n",
       "      <td>Principal repayments on external debt, long-term (AMT, current US$)</td>\n",
       "      <td>2.420742e+10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  country_name  \\\n",
       "0        India   \n",
       "\n",
       "                                                        indicator_name  \\\n",
       "0  Principal repayments on external debt, long-term (AMT, current US$)   \n",
       "\n",
       "           debt  \n",
       "0  2.420742e+10  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query = \"\"\"\n",
    "SELECT\n",
    "    country_name,\n",
    "    indicator_name,\n",
    "    value AS debt\n",
    "FROM bigquery-public-data.world_bank_intl_debt.international_debt\n",
    "WHERE\n",
    "    value = (SELECT\n",
    "            MAX(value)\n",
    "            FROM bigquery-public-data.world_bank_intl_debt.international_debt\n",
    "            WHERE\n",
    "                (indicator_code = 'DT.AMT.DLXF.CD')\n",
    "                AND\n",
    "                (country_name NOT LIKE '%income%' \n",
    "                AND country_name NOT LIKE '%UN classification'\n",
    "                AND country_name NOT LIKE 'IDA only'\n",
    "                AND country_name NOT LIKE 'South Asia'))\n",
    "LIMIT 1;\n",
    "\"\"\"\n",
    "\n",
    "highest_principal_repayment_long_term = read_gbq(query, project_id=project_id)\n",
    "\n",
    "highest_principal_repayment_long_term"
   ]
  }
 ],
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