Case study - Introduction to weather data

Weather information can be found everywhere and every time. These datasets can be useful in determining weather images and analyzing weather data based on historical datasets. This section uses Python weather data points. In this section, you will learn the following:

• How to discover the nature of weather data
• Creating models from weather data with Python
• Interpreting the data model discovered

In this section, we are going to use weather data from Kaggle. To keep all at the academic level, we have not considered bigness aspects of the dataset. Data files are structured in the form of .CSV and hold the following columns:

• dt (date and time)
• AverageTemperature
• AverageTemperatureUncertainty
• City
• Country
• Latitude
• Longitude