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Datasets:
seemasaharann
/
fortune1000-dataset

Modalities:
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seemasaharann commited on
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importing dataset

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  1. dataset.ipynb +602 -0
  2. fortune1000_2024.csv → train.csv +0 -0
dataset.ipynb ADDED
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+ {
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+ "cells": [
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+ {
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+ "cell_type": "code",
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+ "execution_count": 7,
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "Requirement already satisfied: datasets in /opt/anaconda3/lib/python3.12/site-packages (2.21.0)\n",
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+ "Requirement already satisfied: filelock in /opt/anaconda3/lib/python3.12/site-packages (from datasets) (3.13.1)\n",
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+ "Requirement already satisfied: numpy>=1.17 in /opt/anaconda3/lib/python3.12/site-packages (from datasets) (1.26.4)\n",
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+ "Requirement already satisfied: pyarrow>=15.0.0 in /opt/anaconda3/lib/python3.12/site-packages (from datasets) (17.0.0)\n",
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+ "Requirement already satisfied: dill<0.3.9,>=0.3.0 in /opt/anaconda3/lib/python3.12/site-packages (from datasets) (0.3.8)\n",
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+ "Requirement already satisfied: pandas in /opt/anaconda3/lib/python3.12/site-packages (from datasets) (2.2.2)\n",
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+ "Requirement already satisfied: requests>=2.32.2 in /opt/anaconda3/lib/python3.12/site-packages (from datasets) (2.32.2)\n",
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+ "Requirement already satisfied: tqdm>=4.66.3 in /opt/anaconda3/lib/python3.12/site-packages (from datasets) (4.66.4)\n",
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+ "Requirement already satisfied: xxhash in /opt/anaconda3/lib/python3.12/site-packages (from datasets) (3.5.0)\n",
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+ "Requirement already satisfied: multiprocess in /opt/anaconda3/lib/python3.12/site-packages (from datasets) (0.70.16)\n",
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+ "Requirement already satisfied: fsspec<=2024.6.1,>=2023.1.0 in /opt/anaconda3/lib/python3.12/site-packages (from fsspec[http]<=2024.6.1,>=2023.1.0->datasets) (2024.3.1)\n",
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+ "Requirement already satisfied: aiohttp in /opt/anaconda3/lib/python3.12/site-packages (from datasets) (3.9.5)\n",
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+ "Requirement already satisfied: huggingface-hub>=0.21.2 in /opt/anaconda3/lib/python3.12/site-packages (from datasets) (0.24.6)\n",
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+ "Requirement already satisfied: packaging in /opt/anaconda3/lib/python3.12/site-packages (from datasets) (23.2)\n",
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+ "Requirement already satisfied: pyyaml>=5.1 in /opt/anaconda3/lib/python3.12/site-packages (from datasets) (6.0.1)\n",
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+ "Requirement already satisfied: aiosignal>=1.1.2 in /opt/anaconda3/lib/python3.12/site-packages (from aiohttp->datasets) (1.2.0)\n",
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+ "Requirement already satisfied: attrs>=17.3.0 in /opt/anaconda3/lib/python3.12/site-packages (from aiohttp->datasets) (23.1.0)\n",
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+ "Requirement already satisfied: frozenlist>=1.1.1 in /opt/anaconda3/lib/python3.12/site-packages (from aiohttp->datasets) (1.4.0)\n",
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+ "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/anaconda3/lib/python3.12/site-packages (from aiohttp->datasets) (6.0.4)\n",
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+ "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/anaconda3/lib/python3.12/site-packages (from aiohttp->datasets) (1.9.3)\n",
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+ "Requirement already satisfied: typing-extensions>=3.7.4.3 in /opt/anaconda3/lib/python3.12/site-packages (from huggingface-hub>=0.21.2->datasets) (4.11.0)\n",
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+ "Requirement already satisfied: charset-normalizer<4,>=2 in /opt/anaconda3/lib/python3.12/site-packages (from requests>=2.32.2->datasets) (2.0.4)\n",
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+ "Requirement already satisfied: idna<4,>=2.5 in /opt/anaconda3/lib/python3.12/site-packages (from requests>=2.32.2->datasets) (3.7)\n",
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+ "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/anaconda3/lib/python3.12/site-packages (from requests>=2.32.2->datasets) (2.2.2)\n",
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+ "Requirement already satisfied: certifi>=2017.4.17 in /opt/anaconda3/lib/python3.12/site-packages (from requests>=2.32.2->datasets) (2024.7.4)\n",
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+ "Requirement already satisfied: python-dateutil>=2.8.2 in /opt/anaconda3/lib/python3.12/site-packages (from pandas->datasets) (2.9.0.post0)\n",
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+ "Requirement already satisfied: pytz>=2020.1 in /opt/anaconda3/lib/python3.12/site-packages (from pandas->datasets) (2024.1)\n",
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+ "Requirement already satisfied: tzdata>=2022.7 in /opt/anaconda3/lib/python3.12/site-packages (from pandas->datasets) (2023.3)\n",
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+ "Requirement already satisfied: six>=1.5 in /opt/anaconda3/lib/python3.12/site-packages (from python-dateutil>=2.8.2->pandas->datasets) (1.16.0)\n",
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+ "Requirement already satisfied: pandas in /opt/anaconda3/lib/python3.12/site-packages (2.2.2)\n",
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+ "Requirement already satisfied: numpy>=1.26.0 in /opt/anaconda3/lib/python3.12/site-packages (from pandas) (1.26.4)\n",
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+ "Requirement already satisfied: python-dateutil>=2.8.2 in /opt/anaconda3/lib/python3.12/site-packages (from pandas) (2.9.0.post0)\n",
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+ "Requirement already satisfied: pytz>=2020.1 in /opt/anaconda3/lib/python3.12/site-packages (from pandas) (2024.1)\n",
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+ "Requirement already satisfied: tzdata>=2022.7 in /opt/anaconda3/lib/python3.12/site-packages (from pandas) (2023.3)\n",
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+ "Requirement already satisfied: six>=1.5 in /opt/anaconda3/lib/python3.12/site-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)\n"
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+ ]
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+ }
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+ ],
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+ "source": [
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+ "!pip install datasets\n",
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+ "!pip install pandas"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 3,
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "import datasets"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 4,
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "data": {
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+ "application/vnd.jupyter.widget-view+json": {
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+ "model_id": "6b5bdaff002a48109bf3e939a59b89f7",
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+ "version_major": 2,
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+ "version_minor": 0
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+ },
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+ "text/plain": [
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+ "Downloading readme: 0%| | 0.00/31.0 [00:00<?, ?B/s]"
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+ ]
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+ },
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+ "metadata": {},
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+ "output_type": "display_data"
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+ },
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+ {
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+ "data": {
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+ "application/vnd.jupyter.widget-view+json": {
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+ "model_id": "78f3ec42c8d4487caf3bbfe653d3d2ca",
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+ "version_major": 2,
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+ "version_minor": 0
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+ },
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+ "text/plain": [
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+ "Downloading data: 0%| | 0.00/293k [00:00<?, ?B/s]"
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+ ]
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+ },
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+ "metadata": {},
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+ "output_type": "display_data"
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+ },
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+ {
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+ "data": {
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+ "application/vnd.jupyter.widget-view+json": {
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+ "model_id": "db1bcb892ad3437292c3734acfdc3a57",
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+ "version_major": 2,
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+ "version_minor": 0
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+ },
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+ "text/plain": [
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+ "Generating train split: 0%| | 0/1000 [00:00<?, ? examples/s]"
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+ ]
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+ },
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+ "metadata": {},
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+ "output_type": "display_data"
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+ }
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+ ],
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+ "source": [
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+ "dataset = datasets.load_dataset(\"seemasaharann/fortune1000-dataset\")"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 5,
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "data": {
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+ "text/plain": [
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+ "DatasetDict({\n",
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+ " train: Dataset({\n",
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+ " features: ['Rank', 'Company', 'Ticker', 'Sector', 'Industry', 'Profitable', 'Founder_is_CEO', 'FemaleCEO', 'Growth_in_Jobs', 'Change_in_Rank', 'Gained_in_Rank', 'Dropped_in_Rank', 'Newcomer_to_the_Fortune500', 'Global500', 'Worlds_Most_Admired_Companies', 'Best_Companies_to_Work_For', 'Number_of_employees', 'MarketCap_March28_M', 'Revenues_M', 'RevenuePercentChange', 'Profits_M', 'ProfitsPercentChange', 'Assets_M', 'CEO', 'Country', 'HeadquartersCity', 'HeadquartersState', 'Website', 'CompanyType', 'Footnote', 'MarketCap_Updated_M', 'Updated'],\n",
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+ " num_rows: 1000\n",
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+ " })\n",
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+ "})"
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+ ]
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+ },
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+ "execution_count": 5,
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+ "metadata": {},
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+ "output_type": "execute_result"
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+ }
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+ ],
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+ "source": [
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+ "dataset"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 9,
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "test_dataset = dataset[\"train\"]"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 10,
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "data": {
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+ "text/html": [
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+ "<div>\n",
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+ "<style scoped>\n",
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+ " .dataframe tbody tr th:only-of-type {\n",
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+ " vertical-align: middle;\n",
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+ " }\n",
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+ "\n",
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+ " .dataframe tbody tr th {\n",
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+ " vertical-align: top;\n",
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+ " }\n",
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+ "\n",
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+ " .dataframe thead th {\n",
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+ " text-align: right;\n",
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+ " }\n",
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+ "</style>\n",
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+ "<table border=\"1\" class=\"dataframe\">\n",
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+ " <thead>\n",
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+ " <tr style=\"text-align: right;\">\n",
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+ " <th></th>\n",
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+ " <th>Rank</th>\n",
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+ " <th>Company</th>\n",
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+ " <th>Ticker</th>\n",
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+ " <th>Sector</th>\n",
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+ " <th>Industry</th>\n",
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+ " <th>Profitable</th>\n",
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+ " <th>Founder_is_CEO</th>\n",
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+ " <th>FemaleCEO</th>\n",
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+ " <th>Growth_in_Jobs</th>\n",
185
+ " <th>Change_in_Rank</th>\n",
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+ " <th>...</th>\n",
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+ " <th>Assets_M</th>\n",
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+ " <th>CEO</th>\n",
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+ " <th>Country</th>\n",
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+ " <th>HeadquartersCity</th>\n",
191
+ " <th>HeadquartersState</th>\n",
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+ " <th>Website</th>\n",
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+ " <th>CompanyType</th>\n",
194
+ " <th>Footnote</th>\n",
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+ " <th>MarketCap_Updated_M</th>\n",
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+ " <th>Updated</th>\n",
197
+ " </tr>\n",
198
+ " </thead>\n",
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+ " <tbody>\n",
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+ " <tr>\n",
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+ " <th>0</th>\n",
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+ " <td>1</td>\n",
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+ " <td>Walmart</td>\n",
204
+ " <td>WMT</td>\n",
205
+ " <td>Retailing</td>\n",
206
+ " <td>General Merchandisers</td>\n",
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+ " <td>yes</td>\n",
208
+ " <td>no</td>\n",
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+ " <td>no</td>\n",
210
+ " <td>no</td>\n",
211
+ " <td>0.0</td>\n",
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+ " <td>...</td>\n",
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+ " <td>252399.0</td>\n",
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+ " <td>C. Douglas McMillon</td>\n",
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+ " <td>U.S.</td>\n",
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+ " <td>Bentonville</td>\n",
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+ " <td>Arkansas</td>\n",
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+ " <td>https://www.stock.walmart.com</td>\n",
219
+ " <td>Public</td>\n",
220
+ " <td>Figures are for fiscal year ended Jan. 31, 202...</td>\n",
221
+ " <td>559911.0</td>\n",
222
+ " <td>2024-08-05</td>\n",
223
+ " </tr>\n",
224
+ " <tr>\n",
225
+ " <th>1</th>\n",
226
+ " <td>2</td>\n",
227
+ " <td>Amazon</td>\n",
228
+ " <td>AMZN</td>\n",
229
+ " <td>Retailing</td>\n",
230
+ " <td>Internet Services and Retailing</td>\n",
231
+ " <td>yes</td>\n",
232
+ " <td>no</td>\n",
233
+ " <td>no</td>\n",
234
+ " <td>no</td>\n",
235
+ " <td>0.0</td>\n",
236
+ " <td>...</td>\n",
237
+ " <td>527854.0</td>\n",
238
+ " <td>Andrew R. Jassy</td>\n",
239
+ " <td>U.S.</td>\n",
240
+ " <td>Seattle</td>\n",
241
+ " <td>Washington</td>\n",
242
+ " <td>https://www.amazon.com</td>\n",
243
+ " <td>Public</td>\n",
244
+ " <td>Market value as of July 15, 2024.</td>\n",
245
+ " <td>2005565.0</td>\n",
246
+ " <td>2024-08-05</td>\n",
247
+ " </tr>\n",
248
+ " <tr>\n",
249
+ " <th>2</th>\n",
250
+ " <td>3</td>\n",
251
+ " <td>Apple</td>\n",
252
+ " <td>AAPL</td>\n",
253
+ " <td>Technology</td>\n",
254
+ " <td>Computers, Office Equipment</td>\n",
255
+ " <td>yes</td>\n",
256
+ " <td>no</td>\n",
257
+ " <td>no</td>\n",
258
+ " <td>no</td>\n",
259
+ " <td>1.0</td>\n",
260
+ " <td>...</td>\n",
261
+ " <td>352583.0</td>\n",
262
+ " <td>Timothy D. Cook</td>\n",
263
+ " <td>U.S.</td>\n",
264
+ " <td>Cupertino</td>\n",
265
+ " <td>California</td>\n",
266
+ " <td>https://www.apple.com</td>\n",
267
+ " <td>Public</td>\n",
268
+ " <td>Figures are for fiscal year ended Sept. 30, 20...</td>\n",
269
+ " <td>3594309.0</td>\n",
270
+ " <td>2024-08-05</td>\n",
271
+ " </tr>\n",
272
+ " <tr>\n",
273
+ " <th>3</th>\n",
274
+ " <td>4</td>\n",
275
+ " <td>UnitedHealth Group</td>\n",
276
+ " <td>UNH</td>\n",
277
+ " <td>Health Care</td>\n",
278
+ " <td>Health Care: Insurance and Managed Care</td>\n",
279
+ " <td>yes</td>\n",
280
+ " <td>no</td>\n",
281
+ " <td>no</td>\n",
282
+ " <td>yes</td>\n",
283
+ " <td>1.0</td>\n",
284
+ " <td>...</td>\n",
285
+ " <td>273720.0</td>\n",
286
+ " <td>Andrew P. Witty</td>\n",
287
+ " <td>U.S.</td>\n",
288
+ " <td>Minnetonka</td>\n",
289
+ " <td>Minnesota</td>\n",
290
+ " <td>https://www.unitedhealthgroup.com</td>\n",
291
+ " <td>Public</td>\n",
292
+ " <td>Market value as of July 15, 2024.</td>\n",
293
+ " <td>474339.0</td>\n",
294
+ " <td>2024-08-05</td>\n",
295
+ " </tr>\n",
296
+ " <tr>\n",
297
+ " <th>4</th>\n",
298
+ " <td>5</td>\n",
299
+ " <td>Berkshire Hathaway</td>\n",
300
+ " <td>BRKA</td>\n",
301
+ " <td>Financials</td>\n",
302
+ " <td>Insurance: Property and Casualty (Stock)</td>\n",
303
+ " <td>yes</td>\n",
304
+ " <td>no</td>\n",
305
+ " <td>no</td>\n",
306
+ " <td>yes</td>\n",
307
+ " <td>2.0</td>\n",
308
+ " <td>...</td>\n",
309
+ " <td>1069978.0</td>\n",
310
+ " <td>Warren E. Buffett</td>\n",
311
+ " <td>U.S.</td>\n",
312
+ " <td>Omaha</td>\n",
313
+ " <td>Nebraska</td>\n",
314
+ " <td>https://www.berkshirehathaway.com</td>\n",
315
+ " <td>Public</td>\n",
316
+ " <td>Market value as of July 15, 2024.</td>\n",
317
+ " <td>937028.0</td>\n",
318
+ " <td>2024-08-05</td>\n",
319
+ " </tr>\n",
320
+ " <tr>\n",
321
+ " <th>...</th>\n",
322
+ " <td>...</td>\n",
323
+ " <td>...</td>\n",
324
+ " <td>...</td>\n",
325
+ " <td>...</td>\n",
326
+ " <td>...</td>\n",
327
+ " <td>...</td>\n",
328
+ " <td>...</td>\n",
329
+ " <td>...</td>\n",
330
+ " <td>...</td>\n",
331
+ " <td>...</td>\n",
332
+ " <td>...</td>\n",
333
+ " <td>...</td>\n",
334
+ " <td>...</td>\n",
335
+ " <td>...</td>\n",
336
+ " <td>...</td>\n",
337
+ " <td>...</td>\n",
338
+ " <td>...</td>\n",
339
+ " <td>...</td>\n",
340
+ " <td>...</td>\n",
341
+ " <td>...</td>\n",
342
+ " <td>...</td>\n",
343
+ " </tr>\n",
344
+ " <tr>\n",
345
+ " <th>995</th>\n",
346
+ " <td>996</td>\n",
347
+ " <td>Allegiant Travel</td>\n",
348
+ " <td>ALGT</td>\n",
349
+ " <td>Transportation</td>\n",
350
+ " <td>Airlines</td>\n",
351
+ " <td>yes</td>\n",
352
+ " <td>no</td>\n",
353
+ " <td>no</td>\n",
354
+ " <td>yes</td>\n",
355
+ " <td>0.0</td>\n",
356
+ " <td>...</td>\n",
357
+ " <td>4869.4</td>\n",
358
+ " <td>Maurice J. Gallagher Jr.</td>\n",
359
+ " <td>U.S.</td>\n",
360
+ " <td>Las Vegas</td>\n",
361
+ " <td>Nevada</td>\n",
362
+ " <td>https://www.allegiant.com</td>\n",
363
+ " <td>Public</td>\n",
364
+ " <td>Market value as of March 28, 2024.</td>\n",
365
+ " <td>1375.0</td>\n",
366
+ " <td>2024-06-04</td>\n",
367
+ " </tr>\n",
368
+ " <tr>\n",
369
+ " <th>996</th>\n",
370
+ " <td>997</td>\n",
371
+ " <td>Dropbox</td>\n",
372
+ " <td>DBX</td>\n",
373
+ " <td>Technology</td>\n",
374
+ " <td>Computer Software</td>\n",
375
+ " <td>yes</td>\n",
376
+ " <td>yes</td>\n",
377
+ " <td>no</td>\n",
378
+ " <td>no</td>\n",
379
+ " <td>0.0</td>\n",
380
+ " <td>...</td>\n",
381
+ " <td>2983.5</td>\n",
382
+ " <td>Andrew W. Houston</td>\n",
383
+ " <td>U.S.</td>\n",
384
+ " <td>San Francisco</td>\n",
385
+ " <td>California</td>\n",
386
+ " <td>https://www.dropbox.com</td>\n",
387
+ " <td>Public</td>\n",
388
+ " <td>Market value as of March 28, 2024.</td>\n",
389
+ " <td>8359.0</td>\n",
390
+ " <td>2024-06-04</td>\n",
391
+ " </tr>\n",
392
+ " <tr>\n",
393
+ " <th>997</th>\n",
394
+ " <td>998</td>\n",
395
+ " <td>Exact Sciences</td>\n",
396
+ " <td>EXAS</td>\n",
397
+ " <td>Health Care</td>\n",
398
+ " <td>Pharmaceuticals</td>\n",
399
+ " <td>no</td>\n",
400
+ " <td>no</td>\n",
401
+ " <td>no</td>\n",
402
+ " <td>yes</td>\n",
403
+ " <td>0.0</td>\n",
404
+ " <td>...</td>\n",
405
+ " <td>6471.3</td>\n",
406
+ " <td>Kevin T. Conroy</td>\n",
407
+ " <td>U.S.</td>\n",
408
+ " <td>Madison</td>\n",
409
+ " <td>Wisconsin</td>\n",
410
+ " <td>https://www.exactsciences.com</td>\n",
411
+ " <td>Public</td>\n",
412
+ " <td>Market value as of March 28, 2024.</td>\n",
413
+ " <td>12537.0</td>\n",
414
+ " <td>2024-06-04</td>\n",
415
+ " </tr>\n",
416
+ " <tr>\n",
417
+ " <th>998</th>\n",
418
+ " <td>999</td>\n",
419
+ " <td>BWX Technologies</td>\n",
420
+ " <td>BWXT</td>\n",
421
+ " <td>Aerospace &amp; Defense</td>\n",
422
+ " <td>Aerospace &amp; Defense</td>\n",
423
+ " <td>yes</td>\n",
424
+ " <td>no</td>\n",
425
+ " <td>no</td>\n",
426
+ " <td>yes</td>\n",
427
+ " <td>0.0</td>\n",
428
+ " <td>...</td>\n",
429
+ " <td>2747.1</td>\n",
430
+ " <td>Rex D. Geveden</td>\n",
431
+ " <td>U.S.</td>\n",
432
+ " <td>Lynchburg</td>\n",
433
+ " <td>Virginia</td>\n",
434
+ " <td>https://www.bwxt.com</td>\n",
435
+ " <td>Public</td>\n",
436
+ " <td>Market value as of March 28, 2024.</td>\n",
437
+ " <td>9380.0</td>\n",
438
+ " <td>2024-06-04</td>\n",
439
+ " </tr>\n",
440
+ " <tr>\n",
441
+ " <th>999</th>\n",
442
+ " <td>1000</td>\n",
443
+ " <td>Clear Channel Outdoor Hldgs.</td>\n",
444
+ " <td>CCO</td>\n",
445
+ " <td>Business Services</td>\n",
446
+ " <td>Advertising, marketing</td>\n",
447
+ " <td>no</td>\n",
448
+ " <td>no</td>\n",
449
+ " <td>no</td>\n",
450
+ " <td>no</td>\n",
451
+ " <td>-10.0</td>\n",
452
+ " <td>...</td>\n",
453
+ " <td>4722.5</td>\n",
454
+ " <td>Scott R. Wells</td>\n",
455
+ " <td>U.S.</td>\n",
456
+ " <td>San Antonio</td>\n",
457
+ " <td>Texas</td>\n",
458
+ " <td>https://www.clearchanneloutdoor.com</td>\n",
459
+ " <td>Public</td>\n",
460
+ " <td>Includes revenues from discontinued operations...</td>\n",
461
+ " <td>798.0</td>\n",
462
+ " <td>2024-06-04</td>\n",
463
+ " </tr>\n",
464
+ " </tbody>\n",
465
+ "</table>\n",
466
+ "<p>1000 rows × 32 columns</p>\n",
467
+ "</div>"
468
+ ],
469
+ "text/plain": [
470
+ " Rank Company Ticker Sector \\\n",
471
+ "0 1 Walmart WMT Retailing \n",
472
+ "1 2 Amazon AMZN Retailing \n",
473
+ "2 3 Apple AAPL Technology \n",
474
+ "3 4 UnitedHealth Group UNH Health Care \n",
475
+ "4 5 Berkshire Hathaway BRKA Financials \n",
476
+ ".. ... ... ... ... \n",
477
+ "995 996 Allegiant Travel ALGT Transportation \n",
478
+ "996 997 Dropbox DBX Technology \n",
479
+ "997 998 Exact Sciences EXAS Health Care \n",
480
+ "998 999 BWX Technologies BWXT Aerospace & Defense \n",
481
+ "999 1000 Clear Channel Outdoor Hldgs. CCO Business Services \n",
482
+ "\n",
483
+ " Industry Profitable Founder_is_CEO \\\n",
484
+ "0 General Merchandisers yes no \n",
485
+ "1 Internet Services and Retailing yes no \n",
486
+ "2 Computers, Office Equipment yes no \n",
487
+ "3 Health Care: Insurance and Managed Care yes no \n",
488
+ "4 Insurance: Property and Casualty (Stock) yes no \n",
489
+ ".. ... ... ... \n",
490
+ "995 Airlines yes no \n",
491
+ "996 Computer Software yes yes \n",
492
+ "997 Pharmaceuticals no no \n",
493
+ "998 Aerospace & Defense yes no \n",
494
+ "999 Advertising, marketing no no \n",
495
+ "\n",
496
+ " FemaleCEO Growth_in_Jobs Change_in_Rank ... Assets_M \\\n",
497
+ "0 no no 0.0 ... 252399.0 \n",
498
+ "1 no no 0.0 ... 527854.0 \n",
499
+ "2 no no 1.0 ... 352583.0 \n",
500
+ "3 no yes 1.0 ... 273720.0 \n",
501
+ "4 no yes 2.0 ... 1069978.0 \n",
502
+ ".. ... ... ... ... ... \n",
503
+ "995 no yes 0.0 ... 4869.4 \n",
504
+ "996 no no 0.0 ... 2983.5 \n",
505
+ "997 no yes 0.0 ... 6471.3 \n",
506
+ "998 no yes 0.0 ... 2747.1 \n",
507
+ "999 no no -10.0 ... 4722.5 \n",
508
+ "\n",
509
+ " CEO Country HeadquartersCity HeadquartersState \\\n",
510
+ "0 C. Douglas McMillon U.S. Bentonville Arkansas \n",
511
+ "1 Andrew R. Jassy U.S. Seattle Washington \n",
512
+ "2 Timothy D. Cook U.S. Cupertino California \n",
513
+ "3 Andrew P. Witty U.S. Minnetonka Minnesota \n",
514
+ "4 Warren E. Buffett U.S. Omaha Nebraska \n",
515
+ ".. ... ... ... ... \n",
516
+ "995 Maurice J. Gallagher Jr. U.S. Las Vegas Nevada \n",
517
+ "996 Andrew W. Houston U.S. San Francisco California \n",
518
+ "997 Kevin T. Conroy U.S. Madison Wisconsin \n",
519
+ "998 Rex D. Geveden U.S. Lynchburg Virginia \n",
520
+ "999 Scott R. Wells U.S. San Antonio Texas \n",
521
+ "\n",
522
+ " Website CompanyType \\\n",
523
+ "0 https://www.stock.walmart.com Public \n",
524
+ "1 https://www.amazon.com Public \n",
525
+ "2 https://www.apple.com Public \n",
526
+ "3 https://www.unitedhealthgroup.com Public \n",
527
+ "4 https://www.berkshirehathaway.com Public \n",
528
+ ".. ... ... \n",
529
+ "995 https://www.allegiant.com Public \n",
530
+ "996 https://www.dropbox.com Public \n",
531
+ "997 https://www.exactsciences.com Public \n",
532
+ "998 https://www.bwxt.com Public \n",
533
+ "999 https://www.clearchanneloutdoor.com Public \n",
534
+ "\n",
535
+ " Footnote MarketCap_Updated_M \\\n",
536
+ "0 Figures are for fiscal year ended Jan. 31, 202... 559911.0 \n",
537
+ "1 Market value as of July 15, 2024. 2005565.0 \n",
538
+ "2 Figures are for fiscal year ended Sept. 30, 20... 3594309.0 \n",
539
+ "3 Market value as of July 15, 2024. 474339.0 \n",
540
+ "4 Market value as of July 15, 2024. 937028.0 \n",
541
+ ".. ... ... \n",
542
+ "995 Market value as of March 28, 2024. 1375.0 \n",
543
+ "996 Market value as of March 28, 2024. 8359.0 \n",
544
+ "997 Market value as of March 28, 2024. 12537.0 \n",
545
+ "998 Market value as of March 28, 2024. 9380.0 \n",
546
+ "999 Includes revenues from discontinued operations... 798.0 \n",
547
+ "\n",
548
+ " Updated \n",
549
+ "0 2024-08-05 \n",
550
+ "1 2024-08-05 \n",
551
+ "2 2024-08-05 \n",
552
+ "3 2024-08-05 \n",
553
+ "4 2024-08-05 \n",
554
+ ".. ... \n",
555
+ "995 2024-06-04 \n",
556
+ "996 2024-06-04 \n",
557
+ "997 2024-06-04 \n",
558
+ "998 2024-06-04 \n",
559
+ "999 2024-06-04 \n",
560
+ "\n",
561
+ "[1000 rows x 32 columns]"
562
+ ]
563
+ },
564
+ "execution_count": 10,
565
+ "metadata": {},
566
+ "output_type": "execute_result"
567
+ }
568
+ ],
569
+ "source": [
570
+ "test_dataset.to_pandas()"
571
+ ]
572
+ },
573
+ {
574
+ "cell_type": "code",
575
+ "execution_count": null,
576
+ "metadata": {},
577
+ "outputs": [],
578
+ "source": []
579
+ }
580
+ ],
581
+ "metadata": {
582
+ "kernelspec": {
583
+ "display_name": "base",
584
+ "language": "python",
585
+ "name": "python3"
586
+ },
587
+ "language_info": {
588
+ "codemirror_mode": {
589
+ "name": "ipython",
590
+ "version": 3
591
+ },
592
+ "file_extension": ".py",
593
+ "mimetype": "text/x-python",
594
+ "name": "python",
595
+ "nbconvert_exporter": "python",
596
+ "pygments_lexer": "ipython3",
597
+ "version": "3.12.4"
598
+ }
599
+ },
600
+ "nbformat": 4,
601
+ "nbformat_minor": 2
602
+ }
fortune1000_2024.csv → train.csv RENAMED
File without changes