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International Weather Station Data
Data Science and Analytics
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About
Daily weather observations from stations across 155 countries and regions for a significant portion of 2020 are available in this data product. Sourced from The National Oceanic and Atmospheric Administration (NOAA), the information was initially collected to facilitate A/B testing related to the Coronavirus. It provides an extensive look at meteorological conditions, including temperature, precipitation, and snowfall, using metric units. This particular version has been refined to eliminate duplicate instances found in an earlier release, making it suitable for clean analysis.
Columns
- STATION: The unique identifier for the weather station.
- Country/Region: The country or region where the weather station is located.
- DATE: The date of the weather observation, formatted as YYYY-MM-DD.
- Year: The year of the observation (2020).
- Month: The month of the observation (1-7).
- Day: The day of the observation (1-31).
- PRCP: The total amount of precipitation, including rain or snow.
- SNWD: The measured depth of snow on the ground.
- TAVG: The average temperature for the day.
- TMAX: The maximum temperature recorded for the day.
- TMIN: The minimum temperature recorded for the day.
- SNOW: The amount of snowfall.
- LATITUDE: The latitudinal coordinate of the weather station.
- LONGITUDE: The longitudinal coordinate of the weather station.
- ELEVATION: The elevation of the weather station.
- PRCP_ATTRIBUTES: Additional descriptive attributes for the precipitation data.
- TAVG_ATTRIBUTES: Additional descriptive attributes for the average temperature data.
- TMAX_ATTRIBUTES: Additional descriptive attributes for the maximum temperature data.
- TMIN_ATTRIBUTES: Additional descriptive attributes for the minimum temperature data.
- DAPR: The number of days that have passed since the last recorded precipitation.
- MDPR: The total precipitation over multiple days.
- WESD: The water equivalent of the snow depth on the ground.
- SNWD_ATTRIBUTES: Additional descriptive attributes for the snow depth data.
Distribution
The data is provided as a single CSV file named
the weather of 155 countries in 2020.csv with a size of 73.84 MB. This version contains 1,026,119 records (instances) and 23 columns (features).Usage
This data is ideal for a variety of analytical tasks, including:
- Exploratory Data Analysis (EDA) to uncover weather patterns and trends.
- Data cleaning and preprocessing exercises.
- Developing and testing regression models to predict weather phenomena.
- Climate and weather research.
- Applying clustering algorithms to group regions with similar weather conditions.
Coverage
Geographic: The data includes observations from weather stations located in 155 distinct countries and regions.
Time Range: Observations span from 22 January 2020 to 27 July 2020.
Data Availability Notes: Some columns, particularly those related to snow, location (latitude, longitude, elevation), and additional attributes, have a high percentage of missing values. For instance,
SNOW and ELEVATION have approximately 90% missing data, while TAVG_ATTRIBUTES and DAPR are nearly 100% missing.License
CC0: Public Domain
Who Can Use It
- Data Scientists: For building predictive models, performing time-series analysis, and conducting exploratory data analysis.
- Researchers: For climate studies and investigating the relationship between weather patterns and other global events.
- Students and Educators: As a practical dataset for teaching data cleaning, analysis, and machine learning concepts.
- Meteorologists: For historical weather analysis and pattern identification.
Dataset Name Suggestions
- Global Daily Weather Observations 2020
- International Weather Station Data (Jan-Jul 2020)
- 2020 Weather Conditions from 155 Countries
- NOAA Global Weather Summary 2020
- Cross-Country Meteorological Data 2020
Attributes
Original Data Source: International Weather Station Data
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