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Universal/Disney Safety Records Dataset
Data Science and Analytics
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Free
About
This dataset provides a log of recorded incidents that occurred on Walt Disney World and Universal Orlando properties [3]. It has been meticulously created from unstructured PDF files available on the Florida government website [4]. The raw ride names have been cleaned and standardised, and the associated theme park for each incident has been added for clarity [4]. This resource is invaluable for analysts and data scientists looking to understand incident patterns and conduct further analysis [4].
Columns
- Company: Identifies the proprietor of the land where the incident took place, e.g., Disney or Universal [3, 4].
- Incident_date: The specific date when the incident occurred [3, 4].
- Ride_name_dirty: The original, raw name of the ride as it appeared in the source PDF file [3, 4].
- Ride_name: A manually cleaned version of the ride name, refined to remove duplicates and inconsistencies using domain knowledge [3, 4].
- Theme_Park: The specific theme park where the incident happened, determined through domain knowledge [3, 4].
- age_gender: Provides the age and gender of the guest affected by the incident. For instance, "43 yom" signifies a 43-year-old male, and "41 yof" represents a 41-year-old female [3, 4].
- description: A textual account detailing what transpired with the guest during the incident [4, 5].
Distribution
The dataset is provided as a CSV file, detailing individual incidents [2, 3]. While exact total row counts are not specified, the data spans incidents from 29th December 2001 to 7th December 2022 [5]. The distribution of incidents by company shows that 74% occurred at Disney World and 26% at Universal [5]. Notable ride names appearing in the data include Space Mountain and Expedition Everest [5, 6], while Magic Kingdom and Animal Kingdom are frequently listed theme parks [6]. Common incident descriptions involve issues like motion sickness and chest pain [6].
Usage
This dataset is ideal for various data science and analytics applications [4]. It can be utilised for:
- Data Analytics: Understanding incident trends and frequencies across different parks and rides [4].
- Natural Language Processing (NLP): Analysing incident descriptions to extract key themes, common causes, or sentiment [4].
- Data Cleaning and Feature Engineering: Serving as a practical case study for cleaning unstructured text data and preparing features for machine learning models [4].
- Health and Safety Analysis: Identifying recurring health-related incidents or safety concerns within theme park environments [4].
Coverage
The dataset focuses on incidents occurring within Walt Disney World and Universal Orlando properties in Florida, USA [3]. The time coverage extends from 29th December 2001 to 7th December 2022 [5]. Demographic scope includes the age and gender of affected guests [3].
License
CC0
Who Can Use It
This dataset is suitable for:
- Data Analysts: For exploratory data analysis and trend identification [4].
- Data Scientists: For building predictive models or applying NLP techniques [4].
- Researchers: Studying public safety and incident reporting in theme park environments.
- Students: As a practical dataset for learning data cleaning, transformation, and analytical skills [4].
Dataset Name Suggestions
- Orlando Theme Park Incidents Log
- Universal/Disney World Incident Data (2001-2022)
- Florida Theme Park Safety Records
- Amusement Park Incident Tracker
Attributes
Original Data Source: Universal/Disney World Incident Data (2002-2022)
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