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Fresher Placement Company Ratings
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About
Detailed information on approximately 10,000 popular companies, originally gathered to facilitate the building of a cluster model for fresher placement purposes. This resource offers key metrics on employment and company characteristics, making it valuable for market analysis and recruitment strategy development.
Columns
- name: The full name of the company. This field contains nearly 8,800 unique values.
- rating: The user rating for the company, recorded out of 10. Ratings typically range from 1.7 to 5.0, with a mean rating of 3.95.
- reviews: A summary of all associated reviews. Common entries include specific review counts, such as "(51 Reviews)".
- company_type: Specifies the operational nature of the company (e.g., Private, Public). Private companies represent the majority of entries.
- headquater: The geographical location of the company's headquarter. This field has over 4,200 unique location entries.
- old: Data detailing the company's age or establishment history.
- employees: Information regarding the general size of the company's workforce. The most common segment noted is "1k-5k Employees (India)".
Distribution
The data is delivered in a CSV file format, titled
company.csv, with a file size of 1.04 MB. It contains details for approximately 10,000 distinct entities, covering 7 key columns. The expected update frequency for this dataset is never.Usage
This data is perfectly suited for building clustering models designed to identify ideal placements for fresh graduates and entry-level employees. It can also be applied for quantitative analysis of corporate reputation, market trends concerning employment, and detailed competitive benchmarking based on ratings and workforce size.
Coverage
The dataset focuses on popular companies relevant to the entry-level job market, primarily scraped from a specific online job portal. While many entries detail headquarters and workforce size within India, the general scope covers a wide variety of company types and ratings globally available on the source platform.
License
CC0: Public Domain
Who Can Use It
- Data Scientists and Analysts: For creating machine learning models, specifically clustering algorithms, to predict suitable employment matches.
- Recruiters and Placement Cells: To research and benchmark potential employers based on ratings, size, and company type.
- Market Researchers: To study employment trends and company characteristics within the entry-level career sector.
Dataset Name Suggestions
- Fresher Placement Company Ratings
- Global Entry-Level Company Benchmark
- 10K Corporate Details and Reviews
- Company Ratings and Employment Demographics
Attributes
Original Data Source: Fresher Placement Company Ratings
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