Data
Largest_Companies_in_the_World

Largest_Companies_in_the_World

active ARFF Public Domain (CC0) Visibility: public Uploaded 31-05-2024 by Iwo Godzwon
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Description: The dataset named "largest_companies_by_number_of_employees.csv" provides a comprehensive listing of various companies, ranking them based on their total number of employees. This dataset could be an essential tool for analysts and researchers focusing on labor economics, corporate size, and employment patterns across different regions and sectors. It contains critical data points for each listed company, including its rank based on the number of employees, the official name, the stock market symbol, the exact number of employees, the current stock price in USD, and the country in which the company is headquartered. Attribute Description: - Rank: A numeric value indicating the company's position relative to others based on the number of employees. Sample values include 4399, 6350, 1265, etc. - Name: The official name of the company. Examples include 'NHPC Limited', 'Colliers International', etc. - Symbol: The stock market symbol under which the company is listed. For instance, 'DKNG', 'SINT', 'SPARC.NS'. - Employees_count: The total number of individuals employed by the company. Sample numbers are 12060, 2500, 9788, etc. - Price (USD): The current stock price of the company in United States Dollars. Example values are 4.14, 6.55746, 1.58128, etc. - Country: The country in which the company's headquarters is located. Examples include 'United States', 'Italy', 'Japan'. Use Case: This dataset is particularly useful for market researchers, financial analysts, and sociologists who are interested in understanding employment trends, assessing the scale of operations of different companies, and analyzing the economic impact of these corporations globally. Furthermore, it can aid in investment decision-making processes by providing insights into the company's size and market value.

6 features

Rankstring8401 unique values
0 missing
Namestring8397 unique values
0 missing
Symbolstring8400 unique values
1 missing
employees_countnumeric4198 unique values
0 missing
price (USD)numeric7122 unique values
0 missing
countrynominal78 unique values
2 missing

19 properties

8401
Number of instances (rows) of the dataset.
6
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
3
Number of missing values in the dataset.
3
Number of instances with at least one value missing.
2
Number of numeric attributes.
1
Number of nominal attributes.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0.04
Percentage of instances having missing values.
0.01
Percentage of missing values.
Average class difference between consecutive instances.
33.33
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
16.67
Percentage of nominal attributes.
Percentage of instances belonging to the most frequent class.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.

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