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@@ -49,7 +49,29 @@ Usage beyond academic research, weather prediction, and climate modeling—such
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  <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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- [More Information Needed]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Dataset Creation
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@@ -86,8 +108,6 @@ The `WeatherDataFetcher` class is designed to programmatically collect and proce
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  - **Pandas:** For data manipulation and normalization.
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  - **Datetime:** For handling dates and timestamps.
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- #### Who are the source data producers?
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  <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
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  <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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+ This dataset provides comprehensive weather information collected from OpenWeatherMap, structured into a tabular format. Each row in the dataset represents weather data for a specific hour, including various atmospheric measurements and conditions. Below is a description of the dataset fields:
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+ - **dt:** Unix timestamp indicating the time of the weather data.
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+ - **main.temp:** The temperature at the specified hour, measured in Kelvin.
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+ - **main.feels_like:** The human-perceived temperature, taking humidity and wind into account, measured in Kelvin.
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+ - **main.pressure:** Atmospheric pressure at sea level, measured in hPa (hectopascal).
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+ - **main.humidity:** Humidity percentage at the specified hour.
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+ - **main.temp_min:** Minimum temperature within the last hour, measured in Kelvin.
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+ - **main.temp_max:** Maximum temperature within the last hour, measured in Kelvin.
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+ - **wind.speed:** Wind speed at the specified hour, measured in m/s (meters per second).
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+ - **wind.deg:** Wind direction in degrees (meteorological).
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+ - **wind.gust:** Wind gust speed at the specified hour, measured in m/s.
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+ - **clouds.all:** Cloudiness percentage at the specified hour.
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+ - **latitude and longitude:** Geographic coordinates of the location where the weather data was collected.
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+ - **date:** Date (YYYY-MM-DD) corresponding to the weather data.
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+ - **rain.1h (nullable):** Rain volume for the last hour, measured in mm (millimeters). This field is nullable to account for periods without rainfall.
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+ - **weather_id:** Weather condition ID, corresponding to OpenWeatherMap's weather condition codes.
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+ - **weather_main:** General weather condition category (e.g., Rain, Clear, Clouds).
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+ - **weather_description:** More detailed description of the weather condition.
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+ - **weather_icon:** Icon code representing the weather condition visually.
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+ - **city:** The name of the city for which the weather data is provided.
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+ - **snow.1h (nullable):** Snow volume for the last hour, measured in mm. Similar to rain.1h, this field is nullable.
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+ - **rain.3h (nullable):** Rain volume for the last three hours, provided for datasets with a wider temporal aggregation.
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  ## Dataset Creation
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  - **Pandas:** For data manipulation and normalization.
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  - **Datetime:** For handling dates and timestamps.
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  <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
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