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Chess ELO Ratings Analysis Dataset
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About
Explore the elite world of competitive chess with this dataset, which chronicles the top 20 players annually from 2000 to 2021. Chess, a board game with a history spanning nearly 1500 years, remains incredibly popular and serves as a significant benchmark for advancements in artificial intelligence. This dataset provides a way to compare the skill levels of top human players, calculated using the Elo rating system, against each other and against the ever-improving capabilities of chess engines. It is specifically designed to be straightforward and accessible, making it an excellent resource for beginners looking to practise data analysis skills on a clean, focused set of information.
Columns
- Position: The player's rank in January of the corresponding year.
- Name: The name of the chess player.
- ELO: The player's Elo rating in the corresponding year.
- Year: The year of the ranking.
- Age: The age of the player in the respective year.
Distribution
The dataset is provided in a single CSV file (
Chess.csv) with a size of 14.63 kB. It is structured in a tabular format containing 440 rows and 5 columns. There are no missing values in the dataset.Usage
This dataset is ideal for beginners in data analysis and can be used for various applications, including:
- Exploratory Data Analysis (EDA) to uncover trends in players' ratings over time.
- Tracking the careers and performance of top chess grandmasters.
- Analysing the relationship between a player's age and their Elo rating.
- Comparing the skill levels of human players over two decades.
- Developing and testing basic data visualisation skills.
Coverage
The dataset covers the top 20 professional chess players globally. The time range for the data spans 22 years, from 2000 to 2021, with rankings recorded for each year.
License
CC0: Public Domain
Who Can Use It
- Data Science Beginners: Can use this simple, 5-column dataset to practise fundamental and advanced analysis concepts without feeling overwhelmed.
- Chess Enthusiasts: Can explore the performance trajectories of their favourite players and analyse historical rankings.
- Educators: Can use it as a teaching tool for introductory data analysis and statistics courses.
- Data Analysts: Can perform exploratory analysis to identify patterns in player performance, age, and ranking over the years.
Dataset Name Suggestions
- Top Chess Players ELO Ratings (2000-2021)
- Grandmaster Chess Rankings & Ratings
- 20 Years of Elite Chess Players
- Chess ELO Ratings Analysis Dataset
- Historical Top 20 Chess Players
Attributes
Original Data Source: Chess ELO Ratings Analysis Dataset
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