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Global Warming Historical Data
Data Science and Analytics
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About
Analysing historical temperature data from across the globe, this dataset offers crucial insights into the evolving patterns of global warming. It serves as a valuable resource for understanding the rise in temperatures experienced by individual countries over several centuries, addressing a pressing environmental issue through data science.
Columns
- dt: Represents the date of the temperature recording, formatted as a DateTime object.
- AverageTemperature: Details the mean temperature recorded for a specific date and country, measured in degrees Celsius, ranging from approximately -37.7 to 38.8.
- AverageTemperatureUncertainty: Indicates the uncertainty margin associated with the
AverageTemperaturemeasurement, ranging from 0.05 to 15. - Country: Identifies the specific country to which the temperature data pertains, with 243 unique country names included.
Distribution
The dataset is provided in a CSV format, named
GlobalLandTemperatures_GlobalLandTemperaturesByCountry.csv, and has a size of 22.68 MB. It contains approximately 577,000 records, detailing temperature measurements and their associated uncertainties across various countries over an extended period. Some columns, such as AverageTemperature and AverageTemperatureUncertainty, have a small percentage (6%) of missing values.Usage
This dataset is ideal for data science projects focused on climate change and global warming analysis. It can be used to study long-term temperature trends, identify country-specific warming patterns, and support research into environmental science. Researchers and analysts can model historical climate shifts and assess the impact of rising temperatures.
Coverage
The dataset covers a wide geographic scope, encompassing 243 unique countries worldwide. The temporal range extends from 1st November 1743 to 1st September 2013, providing historical temperature records spanning over 270 years. There is no specific demographic scope, as the data pertains to environmental measurements.
License
CC0: Public Domain
Who Can Use It
Data scientists, climate researchers, environmental analysts, and students will find this dataset particularly useful. They can utilise it for academic research, developing predictive models for climate change, creating visualisations of global temperature increases, and contributing to public understanding of environmental challenges.
Dataset Name Suggestions
- Global Country Temperature History
- Historical Global Temperature Trends
- World Climate Change Data (1743-2013)
- Country-Specific Temperature Records
- Global Warming Historical Data
Attributes
Original Data Source: Global Warming Historical Data
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