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Corporate Review Sentiment and Organisational Data
Product Reviews & Feedback
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About
Exploring the corporate landscape requires a blend of qualitative feedback and quantitative metrics. Data from AmbitionBox, a platform for company reviews and ratings, provides insights into 10,000 distinct business entities. It features a diverse range of attributes, from employee counts and sector categorisations to geographical headquarters and historical establishment years. While the collection serves as a foundation for business intelligence, it is intentionally designed with irregularities—such as misplaced values in the "Company Type" field—to provide a practical environment for refining data preprocessing and cleaning skills. By documenting both structured quantitative ratings and unstructured qualitative indicators, the resource offers a broad view of the dynamic world of corporate information.
Columns
- Index: A unique numerical identifier for each entry in the recordset.
- Company Name: The name of the business entity being reviewed or rated, serving as the primary identifier.
- Rating: The score assigned to the company based on employee reviews, reflecting overall satisfaction and perception.
- Company Type: The categorisation of the organisation based on its business model or industrial type.
- Sector: The specific area of the economy or industry to which the company belongs.
- Old: The age of the company, indicating the number of years since its establishment.
- Company Location: The geographic site of the company's headquarters or main office.
- Employees: The total number of staff members working at the company, indicating its size and workforce scale.
- Reviews: The total count of feedback submissions or reviews provided by employees and users.
Distribution
The information is provided in a single CSV file titled
AmbitionBox_dataset.csv with a size of 1.13 MB. It contains 10,000 records, each representing a unique corporate entry. While the index, company name, rating, sector, and review count fields are 100% valid, other columns contain missing data: company location is missing in 73% of records, the establishment age is missing in 8%, and the company type is missing in 3%. The dataset has achieved a usability score of 10.00 and is a static resource with no further updates expected.Usage
This resource is ideal for practicing data cleaning and wrangling techniques, particularly in identifying and correcting mismatched values or managing high percentages of missing entries. It is well-suited for exploratory data analysis (EDA) to find correlations between company age, workforce size, and employee ratings. Analysts can also use the categorised sectors to build basic predictive models for corporate sentiment or to study the distribution of startups versus public companies within different industries.
Coverage
The scope focuses on the corporate sector, with a significant presence of IT Services & Consulting, which accounts for 14% of the entries, followed by Engineering & Construction at 5%. Geographically, the data highlights major hubs such as Mumbai, though location data is available for only 27% of the total records. Temporally, the data captures a snapshot of company ages ranging from new startups to established entities over 3,000 years old (representing historical or data-entry extremes), with 8-year-old companies being a common occurrence.
License
CC0: Public Domain
Who Can Use It
Data science students and enthusiasts can leverage these records to sharpen their preprocessing and outlier detection skills on real-world business data. Corporate researchers may utilise the ratings and review counts to benchmark company performance and reputation within specific industrial sectors. Additionally, job seekers and career analysts can study the relationship between company size, age, and employee satisfaction levels to gain insights into the modern workplace.
Dataset Name Suggestions
- AmbitionBox Corporate Intelligence and Review Registry
- Company Performance and Employee Rating Archive
- Corporate Sector Classification and Business Metrics
- Business Intelligence and Data Preprocessing Collection
- Corporate Review Sentiment and Organisational Data
Attributes
Original Data Source:Corporate Review Sentiment and Organisational Data
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