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Global Shark Attack Records
Data Science and Analytics
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About
Daily shark attack data from the Global Shark Attack File informs people about the risks associated with coastal water activities. This dataset aims to improve shark-human relations by educating individuals on factors that contribute to shark attacks. Sharks are frequently feared, yet humans are considerably more likely to attack sharks than the reverse.
Columns
- Case Number: A distinct identifier for each shark attack incident (String).
- Date: The exact date when the incident occurred (Date).
- Year: The calendar year of the incident (Integer).
- Type: The nature of the shark attack, such as unprovoked, provoked, sea disaster, or boat-related (String).
- Country: The nation where the shark attack took place (String).
- Area: The regional area within the country where the attack occurred (String).
- Location: The precise geographical spot of the shark attack (String).
- Activity: The activity the victim was engaged in during the attack (String).
- Name: The name of the victim involved in the incident (String).
- Age: The age of the victim at the time of the attack (Integer).
- Injury: The injury sustained by the victim as a result of the attack (String).
- Fatal (Y/N): Indicates whether the victim succumbed to the attack (String).
- Time: The time of day when the attack took place (String).
- Species: The species of shark identified as responsible for the attack (String).
- Investigator or Source: The origin of the information for the particular case (String).
- pdf: A link to a PDF document offering additional details about the case (String).
- href formula: The formula utilised to generate the associated hyperlink (String).
- Case Number.1: A duplicate of the Case Number column (String).
- Case Number.2: Another duplicate of the Case Number column (String).
- original order: The sequence in which the cases are listed within the dataset (Integer).
Distribution
The dataset is provided as a GSAF5.xls.csv file, updated daily from the Global Shark Attack File. It has a size of 3.55 MB. The dataset contains approximately 6,462 records, with some columns exhibiting a small number of missing values. For instance, the 'Case Number' column has 6,460 valid entries, and 'Date' has 6,461 valid entries.
Usage
This dataset is ideal for informing the public about the inherent risks associated with various coastal water activities. It can be used for research to analyse patterns in shark attacks, identify contributing factors, and understand human-shark interactions in marine environments. Furthermore, it serves to educate people on safety measures and foster improved relations between humans and sharks.
Coverage
The data encompasses shark attacks from across the globe. Geographically, the United States accounts for 36% of incidents, with Florida being the most frequent area at 17%. Australia represents 21% of incidents, with New South Wales accounting for 8%. The time range for the incidents extends over many years, with the majority of events appearing to be from more recent times, although older data points are present. The dataset includes demographic information such as victim age and name, allowing for analysis of victim profiles.
License
Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Who Can Use It
Researchers, marine biologists, and public safety officials can utilise this dataset to study shark behaviour, identify high-risk areas, and develop strategies for reducing incidents. Educators can use it to teach about marine ecosystems and the importance of responsible coastal activities. Policy makers might find it valuable for informing regulations related to water sports and conservation. Individuals interested in understanding the realities of shark encounters and enhancing their safety awareness will also find it beneficial.
Dataset Name Suggestions
- Global Shark Attack Records
- Worldwide Shark Incident Tracker
- Marine Shark Encounter Statistics
- Coastal Safety Shark Data
Attributes
Original Data Source: Global Shark Attack Records
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