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Currency Year Composition Dataset
Finance & Banking Analytics
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Free
About
Data records the year stamped on currency collected within a personal coin jar. This information was gathered as a casual project, providing a unique look at the circulation timeline of various denominations across several decades. The dataset is suitable for classification exercises, specifically predicting coin type based on the year of issue or exploring the link between year and design type for pennies and quarters.
Columns
- Year: The numerical year stamped on the coin, with values ranging from 1927 up to 2021.
- CoinType: The classification of the coin (e.g., Penny, Dime). Sub-datasets for pennies and quarters also include additional columns detailing the specific design type for each coin.
- Label Count: (Implicit from sample data) Provides distribution metrics for the 'Year' column.
Distribution
The data file, typically found in CSV format, is approximately 7.42 kB in size. The dataset contains 604 valid records and is structured with two primary columns, though related files may include more detailed columns for specific coin types. The expected update frequency for this dataset is never.
Usage
This dataset is ideal for testing introductory machine learning algorithms, such as decision trees or random forests, particularly for categorization challenges. Potential applications include creating models to guess the type of coin based on the recorded year, or conversely, guessing the year based on the coin type. Users may also use the data to find correlations between the year and specific design types for pennies and quarters, or to attempt calculating the composition of coins given a hypothetical dollar amount.
Coverage
The temporal scope of the records spans from the earliest mintage date of 1927 through to 2021. The dataset involves currency types commonly found in the United States, including Pennies and Dimes, providing insight into domestic circulation.
License
CC0: Public Domain
Who Can Use It
- Beginner Data Scientists: For practising categorization and classification machine learning tasks.
- Students: To demonstrate fundamental data analysis techniques and correlation studies.
- Analysts: Interested in the historical distribution and circulation patterns of currency years.
Dataset Name Suggestions
- Coin Jar Mintage Log
- Currency Year Composition Dataset
- US Coin Categorical Challenge
- Personal Coin Collection Data
Attributes
Original Data Source: Currency Year Composition Dataset
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