Reviews Data Dictionary
Contains explanations and examples for all data fields available in the Glassdoor Reviews dataset. All personal/company information mentioned in this data dictionary is fictional and is solely intended for illustrative purposes.
Data points in the example snippets are rearranged for better grouping. To see where a specific data point stands, check the full data sample below:
Data point | Description | Data type |
meta | Contains information about the record | object |
source | The record source | string |
object | The data object/entity | string |
created_at_date | The date when we first scraped the record | array of numbers |
created_at_timestamp | The date we first scraped the record (Unix time) | number |
updated_at_date | The date when we last scraped the record | array of numbers |
version_id | Dataset version ID | string |
updated_at_timestamp | The date when we last scraped the record (Unix time) | number |
See a snippet of the dataset for reference:
A null value means that the information was not listed in the review.
Data point | Description | Data type |
language | Review language | string |
company_id | Unique identifier of the record company in our database | string |
source_id | Unique identifier of the record on Glassdoor | string |
See a snippet of the dataset for reference:
Data point | Description | Data type |
date | Timestamp denoting when the review was posted | string |
id | Unique identifier of the review record in our database | string |
See a snippet of the dataset for reference:
Data point | Description | Data type |
doc | The start of the dataset | object |
author_location | Review author's location | string |
author_title | Review author's job title | string |
author_status | Review author's employment status at the company | string |
is_current | Indicates whether the review author is a current employee of the company | string |
author_employment_length | Review author's employment length at the company | number |
See a snippet of the dataset for reference:
Data point | Description | Data type |
summary | Review summary | string |
work_text | Review tagline | string |
See a snippet of the dataset for reference:
Data point | Description | Data type |
cons | Cons of the company listed in the review | string |
pros | Pros of the company listed in the review | string |
advice_to_management | Advice given to the company management in the review | string |
See a snippet of the dataset for reference:
Data point | Description | Data type |
recommend | Contains three main rating points the user can mark in their review | object |
ratingCeo | Approval or disapproval of the company's CEO | string |
ratingBusinessOutlook | Approval or disapproval of the company's business outlook | string |
ratingRecommendToFriend | Marks if the reviewer would recommend the company as a workplace to a friend | string |
See a snippet of the dataset for reference:
Data point | Description | Data type |
star_rating | Contains various ratings on different information points offered by Glassdoor (from one to five stars) | object |
overall | Overall rating of the company in the review | number |
culture_values | The star rating for the culture and values of the company | number |
career_opportunities | The star rating for the career opportunities in the company | number |
compensation_benefits | The star rating for the compensation and benefits in the company | number |
senior_management | The star rating for the senior management in the company | number |
work_life_balance | The star rating for the work and work-life balance in the company | number |
diversity_inclusion | The star rating for diversity and inclusion in the company | number |
See a snippet of the dataset for reference: