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Hunger Games Victor Prediction Data
Data Science and Analytics
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About
Explore the factors that influence survival in the Hunger Games. This data provides detailed attributes for individual tributes, allowing for analysis of what characteristics might lead to victory. It is designed to facilitate research and modelling to predict survival times, alliance formations, and the likelihood of a tribute winning the games.
Columns
- name: The name of the tribute (String).
- district: The tribute's home district (String).
- sex: The sex of the tribute (String).
- age: The age of the tribute (Integer).
- volunteer: A boolean value indicating if the tribute volunteered (Boolean).
- career: A boolean value indicating if the tribute was a career tribute (Boolean).
- rating: The tribute's rating (Float).
- rating_ave: The tribute's average rating (Float).
- rating_rand: The tribute's random rating (Float).
- survival_days: The number of days the tribute survived (Integer).
- rank: The tribute's final rank in the games (Integer).
- winner: A boolean value indicating if the tribute won (Boolean).
- alliance: The tribute's final alliance (String).
Distribution
The dataset is provided in a single CSV file named 'Hunger Games survival analysis data set.csv' with a size of 1.09 kB. It contains data for 24 tributes across 15 columns.
Usage
Ideal applications for this data include:
- Developing predictive models to forecast tribute survival duration in future games.
- Building models to understand how different covariates affect a tribute's odds of winning or forming an alliance.
- Creating a classification model to predict whether a tribute is a career tribute.
Coverage
This dataset focuses on the tributes participating in the Hunger Games. There is no specific geographic, demographic, or time range coverage mentioned beyond the context of the fictional universe of the Hunger Games.
License
Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Who Can Use It
- Data Scientists: Can build and test predictive models for survival analysis and classification tasks.
- Statisticians: Can perform statistical analysis to explore correlations between tribute attributes and game outcomes.
- Fans of "The Hunger Games": Can explore the data to gain insights into character performance and game dynamics.
- Students: Can use this as a practical dataset for learning data analysis and machine learning techniques.
Dataset Name Suggestions
- Hunger Games Tribute Survival Data
- Tribute Performance and Survival in the Hunger Games
- The Hunger Games: A Survival Analysis Dataset
- Hunger Games Victor Prediction Data
Attributes
Original Data Source: Hunger Games Victor Prediction Data
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