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Meteorological Classification Dataset
Data Science and Analytics
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About
This dataset is designed for classification tasks related to rainfall and weather conditions. It contains various meteorological variables and can be highly valuable for weather forecasting, rainfall pattern analysis, and understanding the relationships between different environmental factors and weather outcomes. It serves as a simple classification dataset suitable for beginners.
Columns
- date: Represents the specific date in YYYY-MM-DD format. There are 54 unique dates, all valid.
- rainfall: A floating-point number indicating the amount of rainfall. Values range from 0.00 to 21.80, with a mean of 9.05 and a standard deviation of 6.65. This column is 98% valid, with one missing value.
- temperature: A floating-point number representing temperature, ranging from 13.90 to 23.40. It has a mean of 18 and a standard deviation of 2.48. This column is 98% valid, with one missing value.
- humidity: A floating-point number representing humidity levels, with values between 44.00 and 89.00. The mean humidity is 69.2, and the standard deviation is 11.9. This column is 98% valid, with one missing value.
- wind_speed: A floating-point number indicating wind speed, ranging from 2.10 to 10.50. The mean wind speed is 6.4, and the standard deviation is 2.19. This column is 98% valid, with one missing value.
- weather_condition: Text descriptions of the weather condition, primarily "Rainy" (78%) and "Sunny" (20%), with a small percentage of "Other". This column is 98% valid, with one missing value.
Distribution
The dataset is provided as a CSV file named
rainfall.csv, with a size of 1.88 kB. It consists of 6 columns and contains 54 records or rows, based on the unique date entries.Usage
This dataset is ideally suited for:
- Developing and testing weather forecasting models.
- Conducting rainfall pattern analysis to identify trends and anomalies.
- Exploring the interrelationships between meteorological variables such as temperature, humidity, wind speed, and their impact on weather conditions.
- Training machine learning models for weather classification.
Coverage
The dataset primarily covers a time range within 2022, with
2022-01-01 being a frequently occurring date. No specific geographic or demographic scope is detailed in the provided information.License
CC BY-SA 4.0
Who Can Use It
This dataset is useful for a variety of users, including:
- Meteorologists and climatologists for research into weather patterns and climate analysis.
- Data scientists and machine learning engineers for building predictive models for weather events.
- Students and educators seeking a straightforward dataset for learning data classification and environmental data analysis.
- Researchers interested in the correlation between various atmospheric parameters.
Dataset Name Suggestions
- Daily Weather Metrics
- Rainfall Prediction Data
- Meteorological Classification Dataset
- Simple Weather Conditions
- Atmospheric Variables Dataset
Attributes
Original Data Source: Meteorological Classification Dataset
QUALITY