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Exploring Financial Data using Nasdaq Data Link API Project Lab DEMO
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nasdaq_project_lab.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "b235a51f-4b90-41ab-8cfa-665150290b01",
"metadata": {},
"outputs": [],
"source": [
"import requests\n",
"import json\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"\n",
"import config # our config.py file"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "3442d3ae-3466-4ba5-a313-8ff0088deec6",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"API key loaded successfully\n"
]
}
],
"source": [
"# configuring the api_key\n",
"API_KEY = config.api_key\n",
"print(\"API key loaded successfully\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "5423eddf-2d5d-4e4b-ac9c-de1a653cdbf0",
"metadata": {},
"outputs": [],
"source": [
"api_metadata_url = 'https://data.nasdaq.com/api/v3/datatables/MER/F1/metadata.json'"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "5e9b4bf6-4dd7-4cdb-8a2a-4ca6e6c43d8f",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"IOPub data rate exceeded.\n",
"The Jupyter server will temporarily stop sending output\n",
"to the client in order to avoid crashing it.\n",
"To change this limit, set the config variable\n",
"`--ServerApp.iopub_data_rate_limit`.\n",
"\n",
"Current values:\n",
"ServerApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n",
"ServerApp.rate_limit_window=3.0 (secs)\n",
"\n"
]
}
],
"source": [
"api_url ='https://data.nasdaq.com/api/v3/datatables/MER/F1.json' # using MER/F1 data table\n",
"\n",
"parameters = {\n",
" 'api_key': API_KEY,\n",
" 'qopts.per_page': 10000\n",
"}\n",
"\n",
"json_data = requests.get(api_url, params=parameters).json()\n",
"\n",
"print(json_data)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "6844c7ea-2caf-45e5-a572-36481b2852d3",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 10000 entries, 0 to 9999\n",
"Data columns (total 32 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 compnumber 10000 non-null int64 \n",
" 1 reportid 10000 non-null int64 \n",
" 2 mapcode 10000 non-null int64 \n",
" 3 amount 10000 non-null float64 \n",
" 4 reportdate 10000 non-null datetime64[ns]\n",
" 5 reporttype 10000 non-null object \n",
" 6 auditorstatus 9999 non-null object \n",
" 7 currency 10000 non-null object \n",
" 8 consolidated 10000 non-null object \n",
" 9 longname 10000 non-null object \n",
" 10 shortname 10000 non-null object \n",
" 11 status 10000 non-null object \n",
" 12 countrycode 10000 non-null object \n",
" 13 region 10000 non-null object \n",
" 14 cik 10000 non-null int64 \n",
" 15 mic 10000 non-null object \n",
" 16 ticker 9380 non-null object \n",
" 17 exchange 10000 non-null object \n",
" 18 address1 10000 non-null object \n",
" 19 address2 6001 non-null object \n",
" 20 address3 1298 non-null object \n",
" 21 address4 0 non-null object \n",
" 22 city 8432 non-null object \n",
" 23 statecode 5813 non-null object \n",
" 24 country 10000 non-null object \n",
" 25 zipcode 9068 non-null object \n",
" 26 phonenumber 10000 non-null object \n",
" 27 faxnumber 3681 non-null object \n",
" 28 website 10000 non-null object \n",
" 29 fye 10000 non-null object \n",
" 30 indicator 10000 non-null object \n",
" 31 statement 10000 non-null object \n",
"dtypes: datetime64[ns](1), float64(1), int64(4), object(26)\n",
"memory usage: 2.4+ MB\n"
]
}
],
"source": [
"data = json_data['datatable']['data']\n",
"columns = [col['name'] for col in json_data['datatable']['columns']]\n",
"\n",
"df = pd.DataFrame(data, columns=columns)\n",
"df['reportdate'] = pd.to_datetime(df['reportdate'], errors='coerce')\n",
"df.info()"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "28b994f3-8756-412a-bfa6-bab7d83d04e5",
"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>reportid</th>\n",
" <th>reportdate</th>\n",
" <th>reporttype</th>\n",
" <th>amount</th>\n",
" <th>longname</th>\n",
" <th>country</th>\n",
" <th>region</th>\n",
" <th>indicator</th>\n",
" <th>statement</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1868192544</td>\n",
" <td>2011-06-30</td>\n",
" <td>Q2</td>\n",
" <td>10.481948</td>\n",
" <td>Deutsche Bank AG</td>\n",
" <td>DEU</td>\n",
" <td>Europe</td>\n",
" <td>Accrued Expenses Turnover</td>\n",
" <td>Derived</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1868216112</td>\n",
" <td>2011-09-30</td>\n",
" <td>Q3</td>\n",
" <td>8.161754</td>\n",
" <td>Deutsche Bank AG</td>\n",
" <td>DEU</td>\n",
" <td>Europe</td>\n",
" <td>Accrued Expenses Turnover</td>\n",
" <td>Derived</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1885063456</td>\n",
" <td>2012-06-30</td>\n",
" <td>Q2</td>\n",
" <td>10.788213</td>\n",
" <td>Deutsche Bank AG</td>\n",
" <td>DEU</td>\n",
" <td>Europe</td>\n",
" <td>Accrued Expenses Turnover</td>\n",
" <td>Derived</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1885087024</td>\n",
" <td>2012-09-30</td>\n",
" <td>Q3</td>\n",
" <td>9.437545</td>\n",
" <td>Deutsche Bank AG</td>\n",
" <td>DEU</td>\n",
" <td>Europe</td>\n",
" <td>Accrued Expenses Turnover</td>\n",
" <td>Derived</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1901934112</td>\n",
" <td>2013-06-30</td>\n",
" <td>Q2</td>\n",
" <td>8.755041</td>\n",
" <td>Deutsche Bank AG</td>\n",
" <td>DEU</td>\n",
" <td>Europe</td>\n",
" <td>Accrued Expenses Turnover</td>\n",
" <td>Derived</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" reportid reportdate reporttype amount longname country \\\n",
"0 1868192544 2011-06-30 Q2 10.481948 Deutsche Bank AG DEU \n",
"1 1868216112 2011-09-30 Q3 8.161754 Deutsche Bank AG DEU \n",
"2 1885063456 2012-06-30 Q2 10.788213 Deutsche Bank AG DEU \n",
"3 1885087024 2012-09-30 Q3 9.437545 Deutsche Bank AG DEU \n",
"4 1901934112 2013-06-30 Q2 8.755041 Deutsche Bank AG DEU \n",
"\n",
" region indicator statement \n",
"0 Europe Accrued Expenses Turnover Derived \n",
"1 Europe Accrued Expenses Turnover Derived \n",
"2 Europe Accrued Expenses Turnover Derived \n",
"3 Europe Accrued Expenses Turnover Derived \n",
"4 Europe Accrued Expenses Turnover Derived "
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"necessary_columns = ['reportid','reportdate','reporttype','amount','longname','country','region','indicator','statement']\n",
"\n",
"df = df[necessary_columns]\n",
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "3c04cbb3-0a2e-47db-b539-dbcd990f6758",
"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>reportid</th>\n",
" <th>reportdate</th>\n",
" <th>reporttype</th>\n",
" <th>amount</th>\n",
" <th>longname</th>\n",
" <th>country</th>\n",
" <th>region</th>\n",
" <th>indicator</th>\n",
" <th>statement</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1868192544</td>\n",
" <td>2011-06-30</td>\n",
" <td>Q2</td>\n",
" <td>10.481948</td>\n",
" <td>Deutsche Bank AG</td>\n",
" <td>Germany</td>\n",
" <td>Europe</td>\n",
" <td>Accrued Expenses Turnover</td>\n",
" <td>Derived</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1868216112</td>\n",
" <td>2011-09-30</td>\n",
" <td>Q3</td>\n",
" <td>8.161754</td>\n",
" <td>Deutsche Bank AG</td>\n",
" <td>Germany</td>\n",
" <td>Europe</td>\n",
" <td>Accrued Expenses Turnover</td>\n",
" <td>Derived</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1885063456</td>\n",
" <td>2012-06-30</td>\n",
" <td>Q2</td>\n",
" <td>10.788213</td>\n",
" <td>Deutsche Bank AG</td>\n",
" <td>Germany</td>\n",
" <td>Europe</td>\n",
" <td>Accrued Expenses Turnover</td>\n",
" <td>Derived</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1885087024</td>\n",
" <td>2012-09-30</td>\n",
" <td>Q3</td>\n",
" <td>9.437545</td>\n",
" <td>Deutsche Bank AG</td>\n",
" <td>Germany</td>\n",
" <td>Europe</td>\n",
" <td>Accrued Expenses Turnover</td>\n",
" <td>Derived</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1901934112</td>\n",
" <td>2013-06-30</td>\n",
" <td>Q2</td>\n",
" <td>8.755041</td>\n",
" <td>Deutsche Bank AG</td>\n",
" <td>Germany</td>\n",
" <td>Europe</td>\n",
" <td>Accrued Expenses Turnover</td>\n",
" <td>Derived</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" reportid reportdate reporttype amount longname country \\\n",
"0 1868192544 2011-06-30 Q2 10.481948 Deutsche Bank AG Germany \n",
"1 1868216112 2011-09-30 Q3 8.161754 Deutsche Bank AG Germany \n",
"2 1885063456 2012-06-30 Q2 10.788213 Deutsche Bank AG Germany \n",
"3 1885087024 2012-09-30 Q3 9.437545 Deutsche Bank AG Germany \n",
"4 1901934112 2013-06-30 Q2 8.755041 Deutsche Bank AG Germany \n",
"\n",
" region indicator statement \n",
"0 Europe Accrued Expenses Turnover Derived \n",
"1 Europe Accrued Expenses Turnover Derived \n",
"2 Europe Accrued Expenses Turnover Derived \n",
"3 Europe Accrued Expenses Turnover Derived \n",
"4 Europe Accrued Expenses Turnover Derived "
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"country_mapping = {\n",
" 'USA': 'United States of America',\n",
" 'DEU': 'Germany',\n",
" 'JPN': 'Japan',\n",
" 'CYM': 'Cayman Islands',\n",
" 'BHS': 'Bahamas',\n",
" 'IRL': 'Ireland',\n",
" 'IND': 'India',\n",
" 'AUS': 'Australia',\n",
" 'CAN': 'Canada',\n",
" 'BRA': 'Brazil',\n",
" 'IDN': 'Indonesia',\n",
" 'ISR': 'Israel',\n",
" 'FIN': 'Finland',\n",
" 'CHE': 'Switzerland',\n",
" 'KOR': 'South Korea',\n",
" 'GBR': 'United Kingdom',\n",
" 'FRA': 'France',\n",
" 'CHL': 'Chile',\n",
" 'BEL': 'Belgium',\n",
" 'ITA': 'Italy',\n",
" 'HKG': 'Hong Kong',\n",
" 'DNK': 'Denmark',\n",
" 'ESP': 'Spain'\n",
"}\n",
"\n",
"df['country'] = df['country'].replace(country_mapping)\n",
"\n",
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "9959dc4f-ecfc-4d75-97ae-09856e5a51ee",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"country\n",
"United States of America 3253\n",
"Cayman Islands 1556\n",
"Japan 1303\n",
"Ireland 1155\n",
"Bahamas 898\n",
"India 608\n",
"Switzerland 554\n",
"Australia 228\n",
"Canada 106\n",
"Brazil 62\n",
"South Korea 54\n",
"United Kingdom 51\n",
"France 33\n",
"Chile 22\n",
"Indonesia 21\n",
"Finland 16\n",
"Belgium 14\n",
"Italy 14\n",
"Israel 12\n",
"Hong Kong 12\n",
"Denmark 12\n",
"Germany 8\n",
"Spain 8\n",
"Name: count, dtype: int64"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.columns=['report_id','report_date','report_type',\n",
" 'amount','company_name','country','region',\n",
" 'indicator','statement']\n",
"\n",
"df['country'].value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "8218aacd-fc16-48e9-a9b7-8624cdab66d0",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"indicator\n",
"EBITDA 291\n",
"EBITDA Margin 289\n",
"Total Assets Per Share 244\n",
"Shares Outstanding 239\n",
"Free Cash Flow Per Share 232\n",
"EPS - Net Income - Diluted 232\n",
"Revenue Per Share 230\n",
"EPS - Net Income - Basic 230\n",
"Weighted Average Shares Outstanding - Diluted 228\n",
"Weighted Average Shares Outstanding - Basic 227\n",
"Cash From Investing 220\n",
"Net Income 220\n",
"Cash, Beginning of Year 220\n",
"Calculated Tax Rate 219\n",
"Cash, End of Year 219\n",
"Cash From Operations 219\n",
"Total Assets 217\n",
"Total Revenue 217\n",
"Net Margin 217\n",
"Cash and Equivalents 217\n",
"Return on Assets 216\n",
"Stockholders' Equity 216\n",
"Total Liabilities 216\n",
"Revenue to Assets 216\n",
"Total Asset Turnover 215\n",
"Return on Equity 215\n",
"Cash From Financing 215\n",
"Cash & Equivalents Turnover 214\n",
"Return on Investment 202\n",
"Total Debt to Equity 198\n",
"PP&E Turnover 195\n",
"Operating Margin 191\n",
"Operating Income 191\n",
"Receivables Turnover 181\n",
"Receivables 181\n",
"Current Ratio 170\n",
"Current Assets 170\n",
"Net Current Assets as % of Total Assets 170\n",
"Current Liabilities 170\n",
"Direct Expenses 168\n",
"Accounts Payable 167\n",
"Gross Margin 167\n",
"Accounts Payable Turnover 164\n",
"Long Term Debt to Equity 146\n",
"Quick Ratio 146\n",
"Accrued Expenses Turnover 139\n",
"Inventory Turnover 114\n",
"Inventories 113\n",
"Interest Coverage 107\n",
"Cash Flow Per Share 63\n",
"Net Income Per Employee 46\n",
"Long Term Debt 46\n",
"Revenue Per Employee 45\n",
"Name: count, dtype: int64"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['indicator'].value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "267da20e-5429-48fe-a6ad-3ceed86a17e5",
"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>report_id</th>\n",
" <th>report_date</th>\n",
" <th>report_type</th>\n",
" <th>amount</th>\n",
" <th>company_name</th>\n",
" <th>country</th>\n",
" <th>region</th>\n",
" <th>indicator</th>\n",
" <th>statement</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>662</th>\n",
" <td>1868192512</td>\n",
" <td>2011-06-30</td>\n",
" <td>A</td>\n",
" <td>-1979.328191</td>\n",
" <td>Immutep Ltd</td>\n",
" <td>Australia</td>\n",
" <td>Asia Pacific</td>\n",
" <td>EBITDA Margin</td>\n",
" <td>Derived</td>\n",
" </tr>\n",
" <tr>\n",
" <th>768</th>\n",
" <td>1918804736</td>\n",
" <td>2014-06-30</td>\n",
" <td>A</td>\n",
" <td>-86142.858937</td>\n",
" <td>Immutep Ltd</td>\n",
" <td>Australia</td>\n",
" <td>Asia Pacific</td>\n",
" <td>EBITDA Margin</td>\n",
" <td>Derived</td>\n",
" </tr>\n",
" <tr>\n",
" <th>817</th>\n",
" <td>1935675392</td>\n",
" <td>2015-06-30</td>\n",
" <td>A</td>\n",
" <td>-19363.385060</td>\n",
" <td>Immutep Ltd</td>\n",
" <td>Australia</td>\n",
" <td>Asia Pacific</td>\n",
" <td>EBITDA Margin</td>\n",
" <td>Derived</td>\n",
" </tr>\n",
" <tr>\n",
" <th>845</th>\n",
" <td>1851368960</td>\n",
" <td>2010-12-31</td>\n",
" <td>A</td>\n",
" <td>26.841546</td>\n",
" <td>Ultrapetrol (Bahamas) Ltd</td>\n",
" <td>Bahamas</td>\n",
" <td>Latin America</td>\n",
" <td>EBITDA Margin</td>\n",
" <td>Derived</td>\n",
" </tr>\n",
" <tr>\n",
" <th>889</th>\n",
" <td>1851369024</td>\n",
" <td>2010-12-31</td>\n",
" <td>Q4</td>\n",
" <td>14.403761</td>\n",
" <td>Ultrapetrol (Bahamas) Ltd</td>\n",
" <td>Bahamas</td>\n",
" <td>Latin America</td>\n",
" <td>EBITDA Margin</td>\n",
" <td>Derived</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" report_id report_date report_type amount \\\n",
"662 1868192512 2011-06-30 A -1979.328191 \n",
"768 1918804736 2014-06-30 A -86142.858937 \n",
"817 1935675392 2015-06-30 A -19363.385060 \n",
"845 1851368960 2010-12-31 A 26.841546 \n",
"889 1851369024 2010-12-31 Q4 14.403761 \n",
"\n",
" company_name country region indicator \\\n",
"662 Immutep Ltd Australia Asia Pacific EBITDA Margin \n",
"768 Immutep Ltd Australia Asia Pacific EBITDA Margin \n",
"817 Immutep Ltd Australia Asia Pacific EBITDA Margin \n",
"845 Ultrapetrol (Bahamas) Ltd Bahamas Latin America EBITDA Margin \n",
"889 Ultrapetrol (Bahamas) Ltd Bahamas Latin America EBITDA Margin \n",
"\n",
" statement \n",
"662 Derived \n",
"768 Derived \n",
"817 Derived \n",
"845 Derived \n",
"889 Derived "
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"filtered_df=df[df['indicator']=='EBITDA Margin']\n",
"filtered_df.head()"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "cc0bc2c5-85d9-45de-bd78-6b5a875243e4",
"metadata": {},
"outputs": [
{
"data": {
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" <th></th>\n",
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" <th>amount</th>\n",
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" <th>count</th>\n",
" <td>2.890000e+02</td>\n",
" <td>289</td>\n",
" <td>289.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>1.747260e+09</td>\n",
" <td>2013-06-26 03:59:10.173010432</td>\n",
" <td>-353.917085</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>1.504051e+09</td>\n",
" <td>2010-12-31 00:00:00</td>\n",
" <td>-86142.858937</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>1.569850e+09</td>\n",
" <td>2011-12-31 00:00:00</td>\n",
" <td>13.932416</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>1.868169e+09</td>\n",
" <td>2013-06-30 00:00:00</td>\n",
" <td>17.234169</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>1.901958e+09</td>\n",
" <td>2014-11-30 00:00:00</td>\n",
" <td>26.044164</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>1.952476e+09</td>\n",
" <td>2015-12-31 00:00:00</td>\n",
" <td>47.410116</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>1.693446e+08</td>\n",
" <td>NaN</td>\n",
" <td>5191.939353</td>\n",
" </tr>\n",
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"text/plain": [
" report_id report_date amount\n",
"count 2.890000e+02 289 289.000000\n",
"mean 1.747260e+09 2013-06-26 03:59:10.173010432 -353.917085\n",
"min 1.504051e+09 2010-12-31 00:00:00 -86142.858937\n",
"25% 1.569850e+09 2011-12-31 00:00:00 13.932416\n",
"50% 1.868169e+09 2013-06-30 00:00:00 17.234169\n",
"75% 1.901958e+09 2014-11-30 00:00:00 26.044164\n",
"max 1.952476e+09 2015-12-31 00:00:00 47.410116\n",
"std 1.693446e+08 NaN 5191.939353"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"filtered_df.describe()"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "1304603d-3b50-42be-b243-5d6499dd1482",
"metadata": {},
"outputs": [
{
"data": {
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" <th></th>\n",
" <th>report_id</th>\n",
" <th>report_date</th>\n",
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" <th>company_name</th>\n",
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" <tr>\n",
" <th>768</th>\n",
" <td>1918804736</td>\n",
" <td>2014-06-30</td>\n",
" <td>A</td>\n",
" <td>-86142.858937</td>\n",
" <td>Immutep Ltd</td>\n",
" <td>Australia</td>\n",
" <td>Asia Pacific</td>\n",
" <td>EBITDA Margin</td>\n",
" <td>Derived</td>\n",
" </tr>\n",
" <tr>\n",
" <th>817</th>\n",
" <td>1935675392</td>\n",
" <td>2015-06-30</td>\n",
" <td>A</td>\n",
" <td>-19363.385060</td>\n",
" <td>Immutep Ltd</td>\n",
" <td>Australia</td>\n",
" <td>Asia Pacific</td>\n",
" <td>EBITDA Margin</td>\n",
" <td>Derived</td>\n",
" </tr>\n",
" <tr>\n",
" <th>662</th>\n",
" <td>1868192512</td>\n",
" <td>2011-06-30</td>\n",
" <td>A</td>\n",
" <td>-1979.328191</td>\n",
" <td>Immutep Ltd</td>\n",
" <td>Australia</td>\n",
" <td>Asia Pacific</td>\n",
" <td>EBITDA Margin</td>\n",
" <td>Derived</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2203</th>\n",
" <td>1851368960</td>\n",
" <td>2010-12-31</td>\n",
" <td>A</td>\n",
" <td>-26.841528</td>\n",
" <td>China Unicom (Hong Kong) Ltd</td>\n",
" <td>Hong Kong</td>\n",
" <td>Asia Pacific</td>\n",
" <td>EBITDA Margin</td>\n",
" <td>Derived</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2205</th>\n",
" <td>1868239616</td>\n",
" <td>2011-12-31</td>\n",
" <td>A</td>\n",
" <td>-22.854944</td>\n",
" <td>China Unicom (Hong Kong) Ltd</td>\n",
" <td>Hong Kong</td>\n",
" <td>Asia Pacific</td>\n",
" <td>EBITDA Margin</td>\n",
" <td>Derived</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <tr>\n",
" <th>2048</th>\n",
" <td>1868192544</td>\n",
" <td>2011-06-30</td>\n",
" <td>Q2</td>\n",
" <td>43.551968</td>\n",
" <td>BCE Inc</td>\n",
" <td>Canada</td>\n",
" <td>North America</td>\n",
" <td>EBITDA Margin</td>\n",
" <td>Derived</td>\n",
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" <tr>\n",
" <th>2054</th>\n",
" <td>1885040144</td>\n",
" <td>2012-03-31</td>\n",
" <td>Q1</td>\n",
" <td>43.756366</td>\n",
" <td>BCE Inc</td>\n",
" <td>Canada</td>\n",
" <td>North America</td>\n",
" <td>EBITDA Margin</td>\n",
" <td>Derived</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2045</th>\n",
" <td>1868169232</td>\n",
" <td>2011-03-31</td>\n",
" <td>Q1</td>\n",
" <td>44.872369</td>\n",
" <td>BCE Inc</td>\n",
" <td>Canada</td>\n",
" <td>North America</td>\n",
" <td>EBITDA Margin</td>\n",
" <td>Derived</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2058</th>\n",
" <td>1885087024</td>\n",
" <td>2012-09-30</td>\n",
" <td>Q3</td>\n",
" <td>45.624247</td>\n",
" <td>BCE Inc</td>\n",
" <td>Canada</td>\n",
" <td>North America</td>\n",
" <td>EBITDA Margin</td>\n",
" <td>Derived</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2055</th>\n",
" <td>1885063456</td>\n",
" <td>2012-06-30</td>\n",
" <td>Q2</td>\n",
" <td>47.410116</td>\n",
" <td>BCE Inc</td>\n",
" <td>Canada</td>\n",
" <td>North America</td>\n",
" <td>EBITDA Margin</td>\n",
" <td>Derived</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>289 rows × 9 columns</p>\n",
"</div>"
],
"text/plain": [
" report_id report_date report_type amount \\\n",
"768 1918804736 2014-06-30 A -86142.858937 \n",
"817 1935675392 2015-06-30 A -19363.385060 \n",
"662 1868192512 2011-06-30 A -1979.328191 \n",
"2203 1851368960 2010-12-31 A -26.841528 \n",
"2205 1868239616 2011-12-31 A -22.854944 \n",
"... ... ... ... ... \n",
"2048 1868192544 2011-06-30 Q2 43.551968 \n",
"2054 1885040144 2012-03-31 Q1 43.756366 \n",
"2045 1868169232 2011-03-31 Q1 44.872369 \n",
"2058 1885087024 2012-09-30 Q3 45.624247 \n",
"2055 1885063456 2012-06-30 Q2 47.410116 \n",
"\n",
" company_name country region indicator \\\n",
"768 Immutep Ltd Australia Asia Pacific EBITDA Margin \n",
"817 Immutep Ltd Australia Asia Pacific EBITDA Margin \n",
"662 Immutep Ltd Australia Asia Pacific EBITDA Margin \n",
"2203 China Unicom (Hong Kong) Ltd Hong Kong Asia Pacific EBITDA Margin \n",
"2205 China Unicom (Hong Kong) Ltd Hong Kong Asia Pacific EBITDA Margin \n",
"... ... ... ... ... \n",
"2048 BCE Inc Canada North America EBITDA Margin \n",
"2054 BCE Inc Canada North America EBITDA Margin \n",
"2045 BCE Inc Canada North America EBITDA Margin \n",
"2058 BCE Inc Canada North America EBITDA Margin \n",
"2055 BCE Inc Canada North America EBITDA Margin \n",
"\n",
" statement \n",
"768 Derived \n",
"817 Derived \n",
"662 Derived \n",
"2203 Derived \n",
"2205 Derived \n",
"... ... \n",
"2048 Derived \n",
"2054 Derived \n",
"2045 Derived \n",
"2058 Derived \n",
"2055 Derived \n",
"\n",
"[289 rows x 9 columns]"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"filtered_df.sort_values(by='amount')"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "8179c4ae-066f-4538-8b44-5c87f088b10f",
"metadata": {},
"outputs": [
{
"data": {
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" <td>286</td>\n",
" <td>286.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>1.745579e+09</td>\n",
" <td>2013-06-24 20:28:31.888111872</td>\n",
" <td>18.194177</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>1.504051e+09</td>\n",
" <td>2010-12-31 00:00:00</td>\n",
" <td>-26.841528</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>1.569850e+09</td>\n",
" <td>2012-01-15 00:00:00</td>\n",
" <td>14.146726</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>1.859769e+09</td>\n",
" <td>2013-06-29 12:00:00</td>\n",
" <td>17.296259</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>1.901952e+09</td>\n",
" <td>2014-11-14 18:00:00</td>\n",
" <td>26.055693</td>\n",
" </tr>\n",
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" <th>max</th>\n",
" <td>1.952476e+09</td>\n",
" <td>2015-12-31 00:00:00</td>\n",
" <td>47.410116</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>1.694033e+08</td>\n",
" <td>NaN</td>\n",
" <td>13.189965</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" report_id report_date amount\n",
"count 2.860000e+02 286 286.000000\n",
"mean 1.745579e+09 2013-06-24 20:28:31.888111872 18.194177\n",
"min 1.504051e+09 2010-12-31 00:00:00 -26.841528\n",
"25% 1.569850e+09 2012-01-15 00:00:00 14.146726\n",
"50% 1.859769e+09 2013-06-29 12:00:00 17.296259\n",
"75% 1.901952e+09 2014-11-14 18:00:00 26.055693\n",
"max 1.952476e+09 2015-12-31 00:00:00 47.410116\n",
"std 1.694033e+08 NaN 13.189965"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"filtered_df = filtered_df[filtered_df['company_name'] != 'Immutep Ltd']\n",
"filtered_df.describe()"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "d8cf0371-a542-48e3-8cb7-9587cdf8812a",
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 1000x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(10, 6))\n",
"plt.hist(filtered_df['amount'], bins=30, edgecolor='black')\n",
"plt.xlabel('EBITDA Margin (%)')\n",
"plt.ylabel('Number of Companies')\n",
"plt.title('Distribution of EBITDA Margin Across Companies')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "61eb4842-134d-4a43-99b8-6acab03a98d0",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1000x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(10, 6))\n",
"plt.boxplot(filtered_df['amount'])\n",
"plt.ylabel('EBITDA Margin (%)')\n",
"plt.title('EBITDA Margin Distribution')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "b543adc9-595f-4add-906f-734f409288d2",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1400x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import seaborn as sns\n",
"\n",
"plt.figure(figsize=(14, 6))\n",
"sns.boxplot(data=filtered_df, x='country', y='amount')\n",
"plt.xlabel('Country')\n",
"plt.ylabel('EBITDA Margin (%)')\n",
"plt.title('EBITDA Margin Distribution by Country')\n",
"plt.xticks(rotation=45, ha='right')\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "cb0b0d90-98c4-4f48-892d-36a9f5964c3a",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1400x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"time_trend = filtered_df.groupby('report_date')['amount'].mean()\n",
"\n",
"fig, ax = plt.subplots(figsize=(14, 6))\n",
"\n",
"ax.plot(time_trend.index, time_trend.values, alpha=0.3, label='Original', linewidth=1)\n",
"\n",
"smoothed = time_trend.rolling(window=3).mean()\n",
"ax.plot(smoothed.index, smoothed.values, label='3-Period Moving Average', linewidth=2)\n",
"\n",
"ax.set_xlabel('Report Date')\n",
"ax.set_ylabel('Average EBITDA Margin (%)')\n",
"ax.set_title('EBITDA Margin Over Time (Smoothed)')\n",
"ax.legend()\n",
"ax.grid(True, alpha=0.3)\n",
"\n",
"plt.xticks(rotation=45, ha='right')\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8c695d1d-f281-4799-aa7c-7fcc2dca9ca4",
"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": "3.11.0rc1"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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