Financial Market Insights.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4d01dff6",
   "metadata": {},
   "source": [
    "# Exploring Financial Data using Nasdaq Data Link API"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c4812aa8",
   "metadata": {},
   "outputs": [],
   "source": [
    "#importing necessary libraries together with the config.py file\n",
    "\n",
    "import requests\n",
    "import json\n",
    "import pandas as pd\n",
    "import config\n",
    "\n",
    "# configuring the api_key\n",
    "api_key = \"\"\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c50a8328",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'datatable': {'data': [[2438, 1868192544, -1802, 10.481948, '2011-06-30', 'Q2', 'U', 'EUR', 'True', 'Deutsche Bank AG', 'Deutsche Bank AG', 'Active', 'DEU', 'Europe', 1159508, '5.1.1', 'DB', 'NYS', 'Taunusanlage 12', None, None, None, 'Frankfurt am Main', None, 'DEU', '60325', '(49) 69 910 00', '(49) 69 910 34 225', 'www.db.com', '2023-12-31', 'Accrued Expenses Turnover', 'Derived'], [2438, 1868216112, -1802, 8.161754, '2011-09-30', 'Q3', 'U', 'EUR', 'True', 'Deutsche Bank AG', 'Deutsche Bank AG', 'Active', 'DEU', 'Europe', 1159508, '5.1.1', 'DB', 'NYS', 'Taunusanlage 12', None, None, None, 'Frankfurt am Main', None, 'DEU', '60325', '(49) 69 910 00', '(49) 69 910 34 225', 'www.db.com', '2023-12-31', 'Accrued Expenses Turnover', 'Derived'], [2438, 1885063456, -1802, 10.788213, '2012-06-30', 'Q2', 'U', 'EUR', 'True', 'Deutsche Bank AG', 'Deutsche Bank AG', 'Active', 'DEU', 'Europe', 1159508, '5.1.1', 'DB', 'NYS', 'Taunusanlage 12', None, None, None, 'Frankfurt am Main', None, 'DEU', '60325', '(49) 69 910 00', '(49) 69 910 34 225', 'www.db.com', '2023-12-31', 'Accrued Expenses Turnover', 'Derived'], [2438, 1885087024, -1802, 9.437545, '2012-09-30', 'Q3', 'U', 'EUR', 'True', 'Deutsche Bank AG', 'Deutsche Bank AG', 'Active', 'DEU', 'Europe', 1159508, '5.1.1', 'DB', 'NYS', 'Taunusanlage 12', None, None, None, 'Frankfurt am Main', None, 'DEU', '60325', '(49) 69 910 00', '(49) 69 910 34 225', 'www.db.com', '2023-12-31', 'Accrued Expenses Turnover', 'Derived'], [2438, 1901934112, -1802, 8.755041, '2013-06-30', 'Q2', 'U', 'EUR', 'True', 'Deutsche Bank AG', 'Deutsche Bank AG', 'Active', 'DEU', 'Europe', 1159508, '5.1.1', 'DB', 'NYS', 'Taunusanlage 12', None, None, None, 'Frankfurt am Main', None, 'DEU', '60325', '(49) 69 910 00', '(49) 69 910 34 225', 'www.db.com', '2023-12-31', 'Accrued Expenses Turnover', 'Derived'], [2438, 1901957680, -1802, 8.109493, '2013-09-30', 'Q3', 'U', 'EUR', 'True', 'Deutsche Bank AG', 'Deutsche Bank AG', 'Active', 'DEU', 'Europe', 1159508, '5.1.1', 'DB', 'NYS', 'Taunusanlage 12', None, None, None, 'Frankfurt am Main', None, 'DEU', '60325', '(49) 69 910 00', '(49) 69 910 34 225', 'www.db.com', '2023-12-31', 'Accrued Expenses Turnover', 'Derived'], [2438, 1901981184, -7562, 7.047783, '2013-12-31', 'A', 'N', 'EUR', 'True', 'Deutsche Bank AG', 'Deutsche Bank AG', 'Active', 'DEU', 'Europe', 1159508, '5.1.1', 'DB', 'NYS', 'Taunusanlage 12', None, None, None, 'Frankfurt am Main', None, 'DEU', '60325', '(49) 69 910 00', '(49) 69 910 34 225', 'www.db.com', '2023-12-31', 'Cash Flow Per Share', 'Cash Flow'], [17630, 1851369024, -4524, 161000000.0, '2010-12-31', 'Q4', 'N', 'CAD', 'True', 'BCE Inc', 'BCE Inc', 'Active', 'CAN', 'North America', 718940, '6.1.2', 'BCE', 'NYS', '1 Carrefour Alexander-Graham-Bell', 'Building A', '8th Floor', None, 'Verdun', 'Quebec', 'CAN', 'H3E 3B3', '800 339-6353', '514 786-3970', 'www.bce.ca', '2023-12-31', 'Operating Income', 'Income Statement'], [17630, 1851369024, -5917, 3.440906, '2010-12-31', 'Q4', 'N', 'CAD', 'True', 'BCE Inc', 'BCE Inc', 'Active', 'CAN', 'North America', 718940, '6.1.2', 'BCE', 'NYS', '1 Carrefour Alexander-Graham-Bell', 'Building A', '8th Floor', None, 'Verdun', 'Quebec', 'CAN', 'H3E 3B3', '800 339-6353', '514 786-3970', 'www.bce.ca', '2023-12-31', 'Operating Margin', 'Derived'], [17630, 1868192544, -1016, 2.631808, '2011-06-30', 'Q2', 'U', 'CAD', 'True', 'BCE Inc', 'BCE Inc', 'Active', 'CAN', 'North America', 718940, '6.1.2', 'BCE', 'NYS', '1 Carrefour Alexander-Graham-Bell', 'Building A', '8th Floor', None, 'Verdun', 'Quebec', 'CAN', 'H3E 3B3', '800 339-6353', '514 786-3970', 'www.bce.ca', '2023-12-31', 'Interest Coverage', 'Derived']], 'columns': [{'name': 'compnumber', 'type': 'Integer'}, {'name': 'reportid', 'type': 'Integer'}, {'name': 'mapcode', 'type': 'Integer'}, {'name': 'amount', 'type': 'BigDecimal(36,14)'}, {'name': 'reportdate', 'type': 'Date'}, {'name': 'reporttype', 'type': 'String'}, {'name': 'auditorstatus', 'type': 'String'}, {'name': 'currency', 'type': 'String'}, {'name': 'consolidated', 'type': 'String'}, {'name': 'longname', 'type': 'String'}, {'name': 'shortname', 'type': 'String'}, {'name': 'status', 'type': 'String'}, {'name': 'countrycode', 'type': 'String'}, {'name': 'region', 'type': 'String'}, {'name': 'cik', 'type': 'Integer'}, {'name': 'mic', 'type': 'String'}, {'name': 'ticker', 'type': 'String'}, {'name': 'exchange', 'type': 'String'}, {'name': 'address1', 'type': 'String'}, {'name': 'address2', 'type': 'String'}, {'name': 'address3', 'type': 'String'}, {'name': 'address4', 'type': 'String'}, {'name': 'city', 'type': 'String'}, {'name': 'statecode', 'type': 'String'}, {'name': 'country', 'type': 'String'}, {'name': 'zipcode', 'type': 'String'}, {'name': 'phonenumber', 'type': 'String'}, {'name': 'faxnumber', 'type': 'String'}, {'name': 'website', 'type': 'String'}, {'name': 'fye', 'type': 'Date'}, {'name': 'indicator', 'type': 'String'}, {'name': 'statement', 'type': 'String'}]}, 'meta': {'next_cursor_id': 'djFfMTAyNTkwN18xNzEzNzY5MDg3'}}\n"
     ]
    }
   ],
   "source": [
    "# Define the base URL for the API request\n",
    "api_url = 'https://data.nasdaq.com/api/v3/datatables/MER/F1.json'\n",
    "\n",
    "# Define parameters for the API request\n",
    "api_parameters = {\n",
    "    'api_key': api_key,         # Authentication key\n",
    "    'qopts.per_page': 10        # Specify the number of rows per page\n",
    "}\n",
    "\n",
    "# Perform the GET request and parse the response as JSON\n",
    "response = requests.get(api_url, params=api_parameters)\n",
    "json_data = response.json()\n",
    "\n",
    "# Output the fetched JSON data\n",
    "print(json_data)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c33a382",
   "metadata": {},
   "source": [
    "## Processing the JSON Data into a DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "bf538a46",
   "metadata": {},
   "outputs": [
    {
     "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>compnumber</th>\n",
       "      <th>reportid</th>\n",
       "      <th>mapcode</th>\n",
       "      <th>amount</th>\n",
       "      <th>reportdate</th>\n",
       "      <th>reporttype</th>\n",
       "      <th>auditorstatus</th>\n",
       "      <th>currency</th>\n",
       "      <th>consolidated</th>\n",
       "      <th>longname</th>\n",
       "      <th>...</th>\n",
       "      <th>city</th>\n",
       "      <th>statecode</th>\n",
       "      <th>country</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>phonenumber</th>\n",
       "      <th>faxnumber</th>\n",
       "      <th>website</th>\n",
       "      <th>fye</th>\n",
       "      <th>indicator</th>\n",
       "      <th>statement</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2438</td>\n",
       "      <td>1868192544</td>\n",
       "      <td>-1802</td>\n",
       "      <td>10.481948</td>\n",
       "      <td>2011-06-30</td>\n",
       "      <td>Q2</td>\n",
       "      <td>U</td>\n",
       "      <td>EUR</td>\n",
       "      <td>True</td>\n",
       "      <td>Deutsche Bank AG</td>\n",
       "      <td>...</td>\n",
       "      <td>Frankfurt am Main</td>\n",
       "      <td>None</td>\n",
       "      <td>DEU</td>\n",
       "      <td>60325</td>\n",
       "      <td>(49) 69 910 00</td>\n",
       "      <td>(49) 69 910 34 225</td>\n",
       "      <td>www.db.com</td>\n",
       "      <td>2023-12-31</td>\n",
       "      <td>Accrued Expenses Turnover</td>\n",
       "      <td>Derived</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2438</td>\n",
       "      <td>1868216112</td>\n",
       "      <td>-1802</td>\n",
       "      <td>8.161754</td>\n",
       "      <td>2011-09-30</td>\n",
       "      <td>Q3</td>\n",
       "      <td>U</td>\n",
       "      <td>EUR</td>\n",
       "      <td>True</td>\n",
       "      <td>Deutsche Bank AG</td>\n",
       "      <td>...</td>\n",
       "      <td>Frankfurt am Main</td>\n",
       "      <td>None</td>\n",
       "      <td>DEU</td>\n",
       "      <td>60325</td>\n",
       "      <td>(49) 69 910 00</td>\n",
       "      <td>(49) 69 910 34 225</td>\n",
       "      <td>www.db.com</td>\n",
       "      <td>2023-12-31</td>\n",
       "      <td>Accrued Expenses Turnover</td>\n",
       "      <td>Derived</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2438</td>\n",
       "      <td>1885063456</td>\n",
       "      <td>-1802</td>\n",
       "      <td>10.788213</td>\n",
       "      <td>2012-06-30</td>\n",
       "      <td>Q2</td>\n",
       "      <td>U</td>\n",
       "      <td>EUR</td>\n",
       "      <td>True</td>\n",
       "      <td>Deutsche Bank AG</td>\n",
       "      <td>...</td>\n",
       "      <td>Frankfurt am Main</td>\n",
       "      <td>None</td>\n",
       "      <td>DEU</td>\n",
       "      <td>60325</td>\n",
       "      <td>(49) 69 910 00</td>\n",
       "      <td>(49) 69 910 34 225</td>\n",
       "      <td>www.db.com</td>\n",
       "      <td>2023-12-31</td>\n",
       "      <td>Accrued Expenses Turnover</td>\n",
       "      <td>Derived</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2438</td>\n",
       "      <td>1885087024</td>\n",
       "      <td>-1802</td>\n",
       "      <td>9.437545</td>\n",
       "      <td>2012-09-30</td>\n",
       "      <td>Q3</td>\n",
       "      <td>U</td>\n",
       "      <td>EUR</td>\n",
       "      <td>True</td>\n",
       "      <td>Deutsche Bank AG</td>\n",
       "      <td>...</td>\n",
       "      <td>Frankfurt am Main</td>\n",
       "      <td>None</td>\n",
       "      <td>DEU</td>\n",
       "      <td>60325</td>\n",
       "      <td>(49) 69 910 00</td>\n",
       "      <td>(49) 69 910 34 225</td>\n",
       "      <td>www.db.com</td>\n",
       "      <td>2023-12-31</td>\n",
       "      <td>Accrued Expenses Turnover</td>\n",
       "      <td>Derived</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2438</td>\n",
       "      <td>1901934112</td>\n",
       "      <td>-1802</td>\n",
       "      <td>8.755041</td>\n",
       "      <td>2013-06-30</td>\n",
       "      <td>Q2</td>\n",
       "      <td>U</td>\n",
       "      <td>EUR</td>\n",
       "      <td>True</td>\n",
       "      <td>Deutsche Bank AG</td>\n",
       "      <td>...</td>\n",
       "      <td>Frankfurt am Main</td>\n",
       "      <td>None</td>\n",
       "      <td>DEU</td>\n",
       "      <td>60325</td>\n",
       "      <td>(49) 69 910 00</td>\n",
       "      <td>(49) 69 910 34 225</td>\n",
       "      <td>www.db.com</td>\n",
       "      <td>2023-12-31</td>\n",
       "      <td>Accrued Expenses Turnover</td>\n",
       "      <td>Derived</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   compnumber    reportid  mapcode     amount  reportdate reporttype  \\\n",
       "0        2438  1868192544    -1802  10.481948  2011-06-30         Q2   \n",
       "1        2438  1868216112    -1802   8.161754  2011-09-30         Q3   \n",
       "2        2438  1885063456    -1802  10.788213  2012-06-30         Q2   \n",
       "3        2438  1885087024    -1802   9.437545  2012-09-30         Q3   \n",
       "4        2438  1901934112    -1802   8.755041  2013-06-30         Q2   \n",
       "\n",
       "  auditorstatus currency consolidated          longname  ...  \\\n",
       "0             U      EUR         True  Deutsche Bank AG  ...   \n",
       "1             U      EUR         True  Deutsche Bank AG  ...   \n",
       "2             U      EUR         True  Deutsche Bank AG  ...   \n",
       "3             U      EUR         True  Deutsche Bank AG  ...   \n",
       "4             U      EUR         True  Deutsche Bank AG  ...   \n",
       "\n",
       "                city statecode country zipcode     phonenumber  \\\n",
       "0  Frankfurt am Main      None     DEU   60325  (49) 69 910 00   \n",
       "1  Frankfurt am Main      None     DEU   60325  (49) 69 910 00   \n",
       "2  Frankfurt am Main      None     DEU   60325  (49) 69 910 00   \n",
       "3  Frankfurt am Main      None     DEU   60325  (49) 69 910 00   \n",
       "4  Frankfurt am Main      None     DEU   60325  (49) 69 910 00   \n",
       "\n",
       "            faxnumber     website         fye                  indicator  \\\n",
       "0  (49) 69 910 34 225  www.db.com  2023-12-31  Accrued Expenses Turnover   \n",
       "1  (49) 69 910 34 225  www.db.com  2023-12-31  Accrued Expenses Turnover   \n",
       "2  (49) 69 910 34 225  www.db.com  2023-12-31  Accrued Expenses Turnover   \n",
       "3  (49) 69 910 34 225  www.db.com  2023-12-31  Accrued Expenses Turnover   \n",
       "4  (49) 69 910 34 225  www.db.com  2023-12-31  Accrued Expenses Turnover   \n",
       "\n",
       "  statement  \n",
       "0   Derived  \n",
       "1   Derived  \n",
       "2   Derived  \n",
       "3   Derived  \n",
       "4   Derived  \n",
       "\n",
       "[5 rows x 32 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "api_url = 'https://data.nasdaq.com/api/v3/datatables/MER/F1.json'\n",
    "\n",
    "# Setup parameters for the API request including the API key and number of results per page\n",
    "parameters = {\n",
    "    'api_key': api_key,\n",
    "    'qopts.per_page': 10000  # Fetch up to 10,000 rows at once\n",
    "}\n",
    "\n",
    "# Perform the API request and convert the response to JSON\n",
    "response = requests.get(api_url, params=parameters)\n",
    "json_data = response.json()\n",
    "\n",
    "# Extract data and column names from the JSON response\n",
    "data = json_data['datatable']['data']\n",
    "columns = [column['name'] for column in json_data['datatable']['columns']]\n",
    "\n",
    "# Create DataFrame from a list of list\n",
    "df_metric = pd.DataFrame(data, columns=columns)\n",
    "df_metric.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dac362e2",
   "metadata": {},
   "source": [
    "## Understanding the Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "9060f200",
   "metadata": {},
   "outputs": [],
   "source": [
    "necessary_columns=['reportid','reportdate','reporttype','amount','longname','country','region','indicator','statement']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "50606f59",
   "metadata": {},
   "source": [
    "\n",
    "## Filtering the DataFrame for Analysis\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "3318bec7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "count                           139\n",
      "unique                            1\n",
      "top       Accrued Expenses Turnover\n",
      "freq                            139\n",
      "Name: indicator, dtype: object\n"
     ]
    }
   ],
   "source": [
    "# Select only the necessary columns for analysis\n",
    "df_metric = df_metric[necessary_columns]\n",
    "\n",
    "# Filter the DataFrame for rows where the 'indicator' column matches 'Accrued Expenses Turnover'\n",
    "filtered_df = df_metric[df_metric['indicator'] == 'Accrued Expenses Turnover']\n",
    "\n",
    "# Describe the statistics for the 'indicator' column in the filtered DataFrame\n",
    "indicator_stats = filtered_df['indicator'].describe()\n",
    "\n",
    "# Display the descriptive statistics for the 'indicator' column\n",
    "print(indicator_stats)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "88d1626d",
   "metadata": {},
   "source": [
    "## Enhancing the DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "cb72a291",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "United States of America    31\n",
      "Ireland                     29\n",
      "Japan                       27\n",
      "Cayman Islands              27\n",
      "Bahamas                     19\n",
      "Germany                      6\n",
      "Name: country_name, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "def update_country_name(name):\n",
    "    # Dictionary mapping country codes to full country names\n",
    "    country_map = {\n",
    "        'USA': 'United States of America',\n",
    "        'JPN': 'Japan',\n",
    "        'CYM': 'Cayman Islands',\n",
    "        'BHS': 'Bahamas',\n",
    "        'DEU': 'Germany',\n",
    "        'IRL': 'Ireland'  # Default value included in mapping\n",
    "    }\n",
    "    # Return the full country name if present in the dictionary, else default to 'Ireland'\n",
    "    return country_map.get(name, 'Ireland')\n",
    "\n",
    "# Create a deep copy of the DataFrame\n",
    "filtered_df = filtered_df.copy()\n",
    "\n",
    "# Update the 'country_name' column using the updated function\n",
    "filtered_df['country_name'] = filtered_df['country'].apply(update_country_name)\n",
    "\n",
    "# Reorder and rename the columns as necessary\n",
    "filtered_df.columns = [\n",
    "    'report_id', 'report_date', 'report_type',\n",
    "    'amount', 'company_name', 'country', 'region',\n",
    "    'indicator', 'statement', 'country_name'\n",
    "]\n",
    "\n",
    "# Create a copy of the updated DataFrame\n",
    "updated_df = filtered_df.copy()\n",
    "\n",
    "# Display the value counts for the 'country_name' column\n",
    "print(updated_df['country_name'].value_counts())\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "558b6225",
   "metadata": {},
   "source": [
    "##  understanding financial trends over time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "2f2388e3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Convert 'report_date' to datetime format\n",
    "updated_df['report_date'] = pd.to_datetime(updated_df['report_date'])\n",
    "\n",
    "# Filter data for the time period from 2010 to 2015\n",
    "updated_df = updated_df[(updated_df['report_date'].dt.year >= 2010) & (updated_df['report_date'].dt.year <= 2015)]\n",
    "\n",
    "# Select relevant columns\n",
    "relevant_data = updated_df[['company_name', 'report_date', 'amount']].copy()\n",
    "\n",
    "# Set up the plot with a specified figure size\n",
    "plt.figure(figsize=(12, 6))\n",
    "\n",
    "# Plot data for each unique company\n",
    "for company in relevant_data['company_name'].unique():\n",
    "    company_data = relevant_data[relevant_data['company_name'] == company]\n",
    "    plt.plot(company_data['report_date'], company_data['amount'], label=company)\n",
    "\n",
    "# Configure plot aesthetics\n",
    "plt.title('Trend Analysis of Accrued Expenses Turnover (2010-2015)')\n",
    "plt.xlabel('Report Date')\n",
    "plt.ylabel('Accrued Expenses Turnover')\n",
    "plt.xticks(rotation=45)\n",
    "plt.legend(title='Company', bbox_to_anchor=(1.05, 1), loc='upper left')\n",
    "plt.tight_layout()\n",
    "\n",
    "# Display the plot\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "36f5abbf",
   "metadata": {},
   "source": [
    "\n",
    "## Geographical Region Analysis\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "5fe53222",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate the mean 'amount' for each country\n",
    "country_avg = updated_df.groupby('country_name')['amount'].mean()\n",
    "\n",
    "# Create a bar plot of the average amounts by country\n",
    "plt.figure(figsize=(12, 6))\n",
    "country_avg.sort_values(ascending=False).plot(kind='bar', color='skyblue')  # Added a color for aesthetic enhancement\n",
    "\n",
    "# Set the title and labels of the plot\n",
    "plt.title('Average Financial Metric by Country')\n",
    "plt.xlabel('Country')\n",
    "plt.ylabel('Average Amount')\n",
    "\n",
    "# Rotate the x-axis labels for better visibility\n",
    "plt.xticks(rotation=45)\n",
    "\n",
    "# Adjust layout to not cut off labels or titles\n",
    "plt.tight_layout()\n",
    "\n",
    "# Display the plot\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0bf02ba1",
   "metadata": {},
   "source": [
    "# Financial Metrics by Country\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "6e22bb66",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                  sum     median\n",
      "country_name                                    \n",
      "Bahamas                   1263.792008  53.228953\n",
      "Cayman Islands             406.641481  14.707964\n",
      "Germany                     55.733994   9.096293\n",
      "Ireland                    358.276999   7.367093\n",
      "Japan                      280.168322  10.244816\n",
      "United States of America  1375.705133  31.590961\n"
     ]
    }
   ],
   "source": [
    "# Calculate total and median 'amount' for each country\n",
    "country_stats = updated_df.groupby('country_name')['amount'].agg(['sum', 'median'])\n",
    "\n",
    "# Display the calculated statistics\n",
    "print(country_stats)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "d94ff11f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# Set up a subplot environment with 1 row and 2 columns\n",
    "fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(18, 6))\n",
    "\n",
    "# Plot total amounts by country\n",
    "country_stats['sum'].sort_values(ascending=False).plot(kind='bar', ax=axes[0], color='blue', title='Total Financial Metric by Country')\n",
    "axes[0].set_xlabel('Country')\n",
    "axes[0].set_ylabel('Total Amount')\n",
    "axes[0].tick_params(axis='x', rotation=45)\n",
    "\n",
    "# Plot median amounts by country\n",
    "country_stats['median'].sort_values(ascending=False).plot(kind='bar', ax=axes[1], color='green', title='Median Financial Metric by Country')\n",
    "axes[1].set_xlabel('Country')\n",
    "axes[1].set_ylabel('Median Amount')\n",
    "axes[1].tick_params(axis='x', rotation=45)\n",
    "\n",
    "# Adjust layout and display the plots\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5b66905f",
   "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": "3.12.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}