Dataset: Global Warming Trends (1961-2022)

About this Dataset

Global Warming Trends (1961-2022)

Description:
This dataset offers annual surface temperature data for nearly all countries spanning the years 1960 to 2022. The dataset is provided in two formats, allowing flexibility in data analysis and visualization: tidy format and wide format.

Tidy Format:
The tidy format is structured with columns including Country, ISO code, Year, and Temperature.

Wide Format:
The wide format is designed for quick reference and easy comparisons across countries and years, with columns for each year from 1960 to 2022.

Columns (Tidy Format):

Country: The name of the country.
ISO: The ISO 3166-1 alpha-3 country code.
Year: The year of the temperature record.
Temperature: The annual surface temperature (in degrees Celsius) for the corresponding year and country.

Columns (Wide Format):

Country: The name of the country.
ISO: The ISO 3166-1 alpha-3 country code.
Temperature (1960) to Temperature (2022): Columns representing annual surface temperatures (in degrees Celsius) for each year from 1960 to 2022.

Note:

Missing temperature values are represented as NaN in both formats.
The wide format allows for straightforward data manipulation and visualization, while the tidy format is suitable for structured data analysis.

Source:
The temperature data is sourced from reputable climate monitoring agencies and research institutions, ensuring its reliability and accuracy.

Usage:
Researchers, climate scientists, and data analysts can utilize this dataset for a wide range of climate-related studies, including trend analysis, temperature comparisons, and climate change assessments. It provides a comprehensive overview of temperature variations across countries over the years.

Acknowledgments:
We extend our gratitude to the dedicated scientists and organizations worldwide for their contributions to climate data collection and research.

License:
The dataset is made available under an open data license, permitting free use and distribution for research and educational purposes.

Tables

Long Format Annual Surface Temp

@kaggle.jawadawan_global_warming_trends_1961_2022.long_format_annual_surface_temp

35.85 KB
11222 rows
4 columns


CREATE TABLE long_format_annual_surface_temp (
  "country" VARCHAR,
  "iso2" VARCHAR,
  "year" VARCHAR,
  "temperature" DOUBLE
);

Wide Format Annual Surface Temp

@kaggle.jawadawan_global_warming_trends_1961_2022.wide_format_annual_surface_temp

114.11 KB
181 rows
64 columns


CREATE TABLE wide_format_annual_surface_temp (
  "country" VARCHAR,
  "iso2" VARCHAR,
  "f1961" DOUBLE,
  "f1962" DOUBLE,
  "f1963" DOUBLE,
  "f1964" DOUBLE,
  "f1965" DOUBLE,
  "f1966" DOUBLE,
  "f1967" DOUBLE,
  "f1968" DOUBLE,
  "f1969" DOUBLE,
  "f1970" DOUBLE,
  "f1971" DOUBLE,
  "f1972" DOUBLE,
  "f1973" DOUBLE,
  "f1974" DOUBLE,
  "f1975" DOUBLE,
  "f1976" DOUBLE,
  "f1977" DOUBLE,
  "f1978" DOUBLE,
  "f1979" DOUBLE,
  "f1980" DOUBLE,
  "f1981" DOUBLE,
  "f1982" DOUBLE,
  "f1983" DOUBLE,
  "f1984" DOUBLE,
  "f1985" DOUBLE,
  "f1986" DOUBLE,
  "f1987" DOUBLE,
  "f1988" DOUBLE,
  "f1989" DOUBLE,
  "f1990" DOUBLE,
  "f1991" DOUBLE,
  "f1992" DOUBLE,
  "f1993" DOUBLE,
  "f1994" DOUBLE,
  "f1995" DOUBLE,
  "f1996" DOUBLE,
  "f1997" DOUBLE,
  "f1998" DOUBLE,
  "f1999" DOUBLE,
  "f2000" DOUBLE,
  "f2001" DOUBLE,
  "f2002" DOUBLE,
  "f2003" DOUBLE,
  "f2004" DOUBLE,
  "f2005" DOUBLE,
  "f2006" DOUBLE,
  "f2007" DOUBLE,
  "f2008" DOUBLE,
  "f2009" DOUBLE,
  "f2010" DOUBLE,
  "f2011" DOUBLE,
  "f2012" DOUBLE,
  "f2013" DOUBLE,
  "f2014" DOUBLE,
  "f2015" DOUBLE,
  "f2016" DOUBLE,
  "f2017" DOUBLE,
  "f2018" DOUBLE,
  "f2019" DOUBLE,
  "f2020" DOUBLE,
  "f2021" DOUBLE,
  "f2022" DOUBLE
);