{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d8185790-0793-4881-99e8-6730f95a8006",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-23T23:01:31.065905Z",
     "iopub.status.busy": "2022-06-23T23:01:31.065496Z",
     "iopub.status.idle": "2022-06-23T23:01:31.544067Z",
     "shell.execute_reply": "2022-06-23T23:01:31.542907Z",
     "shell.execute_reply.started": "2022-06-23T23:01:31.065831Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import pathlib\n",
    "\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ea2b3e33-d58e-4e30-a0cc-8218a1f252c9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-23T23:01:31.792796Z",
     "iopub.status.busy": "2022-06-23T23:01:31.792121Z",
     "iopub.status.idle": "2022-06-23T23:01:31.808265Z",
     "shell.execute_reply": "2022-06-23T23:01:31.807317Z",
     "shell.execute_reply.started": "2022-06-23T23:01:31.792751Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[None]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd_options = {\n",
    "    \"display.max_rows\": None,\n",
    "}\n",
    "\n",
    "[pd.set_option(option, value) for option, value in pd_options.items()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "36149580-91d9-431d-99c3-51feee829e79",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-23T23:01:32.912901Z",
     "iopub.status.busy": "2022-06-23T23:01:32.912446Z",
     "iopub.status.idle": "2022-06-23T23:01:32.917561Z",
     "shell.execute_reply": "2022-06-23T23:01:32.916608Z",
     "shell.execute_reply.started": "2022-06-23T23:01:32.912867Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "data_directory = (\n",
    "    pathlib.Path(\".\").resolve().parents[1] / \"data\" / \"scrapy\" / \"raw_country_data\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d03be94e-8642-4916-8a43-1711e0c21b36",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-24T00:14:02.657283Z",
     "iopub.status.busy": "2022-06-24T00:14:02.656916Z",
     "iopub.status.idle": "2022-06-24T00:14:02.728545Z",
     "shell.execute_reply": "2022-06-24T00:14:02.726698Z",
     "shell.execute_reply.started": "2022-06-24T00:14:02.657254Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "ename": "JSONDecodeError",
     "evalue": "Extra data: line 83 column 2 (char 2276290)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mJSONDecodeError\u001b[0m                           Traceback (most recent call last)",
      "Input \u001b[0;32mIn [23]\u001b[0m, in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m countries_file \u001b[38;5;241m=\u001b[39m data_directory \u001b[38;5;241m/\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcountries.json\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m----> 2\u001b[0m countries \u001b[38;5;241m=\u001b[39m \u001b[43mjson\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mloads\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcountries_file\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_text\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m      3\u001b[0m countries\n",
      "File \u001b[0;32m~/.pyenv/versions/3.8.12/lib/python3.8/json/__init__.py:357\u001b[0m, in \u001b[0;36mloads\u001b[0;34m(s, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)\u001b[0m\n\u001b[1;32m    352\u001b[0m     \u001b[38;5;28;01mdel\u001b[39;00m kw[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mencoding\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[1;32m    354\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (\u001b[38;5;28mcls\u001b[39m \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m object_hook \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m\n\u001b[1;32m    355\u001b[0m         parse_int \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m parse_float \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m\n\u001b[1;32m    356\u001b[0m         parse_constant \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m object_pairs_hook \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m kw):\n\u001b[0;32m--> 357\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_default_decoder\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdecode\u001b[49m\u001b[43m(\u001b[49m\u001b[43ms\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    358\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mcls\u001b[39m \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    359\u001b[0m     \u001b[38;5;28mcls\u001b[39m \u001b[38;5;241m=\u001b[39m JSONDecoder\n",
      "File \u001b[0;32m~/.pyenv/versions/3.8.12/lib/python3.8/json/decoder.py:340\u001b[0m, in \u001b[0;36mJSONDecoder.decode\u001b[0;34m(self, s, _w)\u001b[0m\n\u001b[1;32m    338\u001b[0m end \u001b[38;5;241m=\u001b[39m _w(s, end)\u001b[38;5;241m.\u001b[39mend()\n\u001b[1;32m    339\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m end \u001b[38;5;241m!=\u001b[39m \u001b[38;5;28mlen\u001b[39m(s):\n\u001b[0;32m--> 340\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m JSONDecodeError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mExtra data\u001b[39m\u001b[38;5;124m\"\u001b[39m, s, end)\n\u001b[1;32m    341\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m obj\n",
      "\u001b[0;31mJSONDecodeError\u001b[0m: Extra data: line 83 column 2 (char 2276290)"
     ]
    }
   ],
   "source": [
    "countries_file = data_directory / \"countries.json\"\n",
    "countries = json.loads(countries_file.read_text())\n",
    "countries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "29cca9ea-16d3-4534-8c9e-49fde37f8cdd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-24T00:13:20.594318Z",
     "iopub.status.busy": "2022-06-24T00:13:20.593642Z",
     "iopub.status.idle": "2022-06-24T00:13:20.718607Z",
     "shell.execute_reply": "2022-06-24T00:13:20.717214Z",
     "shell.execute_reply.started": "2022-06-24T00:13:20.594287Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "Trailing data",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Input \u001b[0;32mIn [21]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m df \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_json\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcountries_file\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/git-repos/geography-anki/playground/downloaded_data_inspection/.venv/lib/python3.8/site-packages/pandas/util/_decorators.py:207\u001b[0m, in \u001b[0;36mdeprecate_kwarg.<locals>._deprecate_kwarg.<locals>.wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    205\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    206\u001b[0m         kwargs[new_arg_name] \u001b[38;5;241m=\u001b[39m new_arg_value\n\u001b[0;32m--> 207\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/git-repos/geography-anki/playground/downloaded_data_inspection/.venv/lib/python3.8/site-packages/pandas/util/_decorators.py:311\u001b[0m, in \u001b[0;36mdeprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    305\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(args) \u001b[38;5;241m>\u001b[39m num_allow_args:\n\u001b[1;32m    306\u001b[0m     warnings\u001b[38;5;241m.\u001b[39mwarn(\n\u001b[1;32m    307\u001b[0m         msg\u001b[38;5;241m.\u001b[39mformat(arguments\u001b[38;5;241m=\u001b[39marguments),\n\u001b[1;32m    308\u001b[0m         \u001b[38;5;167;01mFutureWarning\u001b[39;00m,\n\u001b[1;32m    309\u001b[0m         stacklevel\u001b[38;5;241m=\u001b[39mstacklevel,\n\u001b[1;32m    310\u001b[0m     )\n\u001b[0;32m--> 311\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/git-repos/geography-anki/playground/downloaded_data_inspection/.venv/lib/python3.8/site-packages/pandas/io/json/_json.py:612\u001b[0m, in \u001b[0;36mread_json\u001b[0;34m(path_or_buf, orient, typ, dtype, convert_axes, convert_dates, keep_default_dates, numpy, precise_float, date_unit, encoding, encoding_errors, lines, chunksize, compression, nrows, storage_options)\u001b[0m\n\u001b[1;32m    609\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m json_reader\n\u001b[1;32m    611\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m json_reader:\n\u001b[0;32m--> 612\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mjson_reader\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/git-repos/geography-anki/playground/downloaded_data_inspection/.venv/lib/python3.8/site-packages/pandas/io/json/_json.py:746\u001b[0m, in \u001b[0;36mJsonReader.read\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    744\u001b[0m         obj \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_object_parser(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_combine_lines(data_lines))\n\u001b[1;32m    745\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 746\u001b[0m     obj \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_object_parser\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdata\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    747\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mclose()\n\u001b[1;32m    748\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m obj\n",
      "File \u001b[0;32m~/git-repos/geography-anki/playground/downloaded_data_inspection/.venv/lib/python3.8/site-packages/pandas/io/json/_json.py:768\u001b[0m, in \u001b[0;36mJsonReader._get_object_parser\u001b[0;34m(self, json)\u001b[0m\n\u001b[1;32m    766\u001b[0m obj \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m    767\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m typ \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mframe\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m--> 768\u001b[0m     obj \u001b[38;5;241m=\u001b[39m \u001b[43mFrameParser\u001b[49m\u001b[43m(\u001b[49m\u001b[43mjson\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mparse\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    770\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m typ \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mseries\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mor\u001b[39;00m obj \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    771\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(dtype, \u001b[38;5;28mbool\u001b[39m):\n",
      "File \u001b[0;32m~/git-repos/geography-anki/playground/downloaded_data_inspection/.venv/lib/python3.8/site-packages/pandas/io/json/_json.py:880\u001b[0m, in \u001b[0;36mParser.parse\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    878\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_parse_numpy()\n\u001b[1;32m    879\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 880\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_parse_no_numpy\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    882\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mobj \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    883\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n",
      "File \u001b[0;32m~/git-repos/geography-anki/playground/downloaded_data_inspection/.venv/lib/python3.8/site-packages/pandas/io/json/_json.py:1133\u001b[0m, in \u001b[0;36mFrameParser._parse_no_numpy\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1129\u001b[0m orient \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39morient\n\u001b[1;32m   1131\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m orient \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcolumns\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m   1132\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mobj \u001b[38;5;241m=\u001b[39m DataFrame(\n\u001b[0;32m-> 1133\u001b[0m         \u001b[43mloads\u001b[49m\u001b[43m(\u001b[49m\u001b[43mjson\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mprecise_float\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mprecise_float\u001b[49m\u001b[43m)\u001b[49m, dtype\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m   1134\u001b[0m     )\n\u001b[1;32m   1135\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m orient \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msplit\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m   1136\u001b[0m     decoded \u001b[38;5;241m=\u001b[39m {\n\u001b[1;32m   1137\u001b[0m         \u001b[38;5;28mstr\u001b[39m(k): v\n\u001b[1;32m   1138\u001b[0m         \u001b[38;5;28;01mfor\u001b[39;00m k, v \u001b[38;5;129;01min\u001b[39;00m loads(json, precise_float\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprecise_float)\u001b[38;5;241m.\u001b[39mitems()\n\u001b[1;32m   1139\u001b[0m     }\n",
      "\u001b[0;31mValueError\u001b[0m: Trailing data"
     ]
    }
   ],
   "source": [
    "df = pd.read_json(countries_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ef8bc3ce-08dd-4260-807c-2616b2e1c1ba",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-23T23:05:33.776164Z",
     "iopub.status.busy": "2022-06-23T23:05:33.775761Z",
     "iopub.status.idle": "2022-06-23T23:05:33.782482Z",
     "shell.execute_reply": "2022-06-23T23:05:33.781523Z",
     "shell.execute_reply.started": "2022-06-23T23:05:33.776132Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(206,)\n",
      "[False]\n",
      "[False]\n"
     ]
    }
   ],
   "source": [
    "country_url = df[\"country_url\"]\n",
    "print(country_url.shape)\n",
    "print(country_url.isnull().unique())\n",
    "print(country_url.isna().unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "48db8f93-659b-45a4-8477-a7cec139bebc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-23T23:05:34.455157Z",
     "iopub.status.busy": "2022-06-23T23:05:34.454626Z",
     "iopub.status.idle": "2022-06-23T23:05:34.464728Z",
     "shell.execute_reply": "2022-06-23T23:05:34.463338Z",
     "shell.execute_reply.started": "2022-06-23T23:05:34.455117Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(206,)\n",
      "[False]\n",
      "[False]\n"
     ]
    }
   ],
   "source": [
    "short_country_name = df[\"short_country_name\"]\n",
    "print(short_country_name.shape)\n",
    "print(short_country_name.isnull().unique())\n",
    "print(short_country_name.isna().unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a52f6aa2-5bbd-46e4-9b2f-cdbd7269cb6e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-23T23:05:35.088529Z",
     "iopub.status.busy": "2022-06-23T23:05:35.088020Z",
     "iopub.status.idle": "2022-06-23T23:05:35.096880Z",
     "shell.execute_reply": "2022-06-23T23:05:35.095870Z",
     "shell.execute_reply.started": "2022-06-23T23:05:35.088490Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(206,)\n",
      "[False]\n",
      "[False]\n"
     ]
    }
   ],
   "source": [
    "flag_description = df[\"flag_description\"]\n",
    "print(flag_description.shape)\n",
    "print(flag_description.isnull().unique())\n",
    "print(flag_description.isna().unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "643e6512-1e5b-4eb2-9f0a-6b680ada787b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-23T23:05:35.979818Z",
     "iopub.status.busy": "2022-06-23T23:05:35.979064Z",
     "iopub.status.idle": "2022-06-23T23:05:35.993588Z",
     "shell.execute_reply": "2022-06-23T23:05:35.992386Z",
     "shell.execute_reply.started": "2022-06-23T23:05:35.979769Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[[{'url': 'https://upload.wikimedia.org/wikipedia/commons/5/5c/Flag_of_the_Taliban.svg',\n",
       "   'path': 'files/flags/Flag_of_the_Taliban.svg',\n",
       "   'checksum': '153b7b9dc8133d542e744f5ff6102710',\n",
       "   'status': 'downloaded'}],\n",
       " [{'url': 'https://upload.wikimedia.org/wikipedia/commons/5/50/Flag_of_Burundi.svg',\n",
       "   'path': 'files/flags/Flag_of_Burundi.svg',\n",
       "   'checksum': '08f6719ece3f3a45661e629e8a7a3dc4',\n",
       "   'status': 'downloaded'}],\n",
       " [{'url': 'https://upload.wikimedia.org/wikipedia/commons/b/bf/Flag_of_Bosnia_and_Herzegovina.svg',\n",
       "   'path': 'files/flags/Flag_of_Bosnia_and_Herzegovina.svg',\n",
       "   'checksum': '38a248a0da355ec7d6591e67489ed08b',\n",
       "   'status': 'downloaded'}],\n",
       " [{'url': 'https://upload.wikimedia.org/wikipedia/commons/b/bc/Flag_of_Transnistria_%28state%29.svg',\n",
       "   'path': 'files/flags/Flag_of_Transnistria_%28state%29.svg',\n",
       "   'checksum': 'b94340e38c45f716216d05968158ee9c',\n",
       "   'status': 'downloaded'}],\n",
       " [{'url': 'https://upload.wikimedia.org/wikipedia/commons/3/38/Flag_of_Tuvalu.svg',\n",
       "   'path': 'files/flags/Flag_of_Tuvalu.svg',\n",
       "   'checksum': '096e1716f1863eb3fddc1291434907f7',\n",
       "   'status': 'downloaded'}],\n",
       " [{'url': 'https://upload.wikimedia.org/wikipedia/commons/f/f4/Flag_of_Niger.svg',\n",
       "   'path': 'files/flags/Flag_of_Niger.svg',\n",
       "   'checksum': '0c4322271e2aecc54aec87a8935228f0',\n",
       "   'status': 'downloaded'}],\n",
       " [{'url': 'https://upload.wikimedia.org/wikipedia/commons/3/3e/Flag_of_New_Zealand.svg',\n",
       "   'path': 'files/flags/Flag_of_New_Zealand.svg',\n",
       "   'checksum': '7d1ea3d5c1fee2c14d81152169da672b',\n",
       "   'status': 'downloaded'}],\n",
       " [{'url': 'https://upload.wikimedia.org/wikipedia/commons/3/30/Flag_of_Nauru.svg',\n",
       "   'path': 'files/flags/Flag_of_Nauru.svg',\n",
       "   'checksum': '2526a443e0f48c0a8ee7c3314bf15f85',\n",
       "   'status': 'downloaded'}],\n",
       " [{'url': 'https://upload.wikimedia.org/wikipedia/commons/5/51/Flag_of_North_Korea.svg',\n",
       "   'path': 'files/flags/Flag_of_North_Korea.svg',\n",
       "   'checksum': 'a9f988e5c3b8644f1555b6830600581c',\n",
       "   'status': 'downloaded'}],\n",
       " [{'url': 'https://upload.wikimedia.org/wikipedia/commons/c/c1/Flag_of_Hungary.svg',\n",
       "   'path': 'files/flags/Flag_of_Hungary.svg',\n",
       "   'checksum': '164af2ef3ec9e4ddd560d6eb0fe982a2',\n",
       "   'status': 'downloaded'}],\n",
       " [{'url': 'https://upload.wikimedia.org/wikipedia/commons/f/f6/Flag_of_Denmark_%28state%29.svg',\n",
       "   'path': 'files/flags/Flag_of_Denmark_%28state%29.svg',\n",
       "   'checksum': 'c39cfa20d6a4bb16e0dadc83c0214013',\n",
       "   'status': 'downloaded'}]]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "no_anthem = [item for item in [df[\"files\"]][0] if len(item) == 1]\n",
    "print(len(no_anthem))\n",
    "no_anthem"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "227b0c76-9e45-4849-849e-36355976cba9",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "df[\"short_country_name\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f7712d7d-9074-4fc5-89f2-6e5f47c57d20",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.12"
  },
  "toc-autonumbering": true,
  "toc-showcode": false
 },
 "nbformat": 4,
 "nbformat_minor": 5
}