Historical Hourly Weather Data Who amongst us doesn't small talk about the weather every once in a while? The goal of this dataset is to elevate this small talk to medium talk. Just kidding, I actually originally decided to collect this dataset in order to demonstrate basic signal processing concepts, such as filtering, Fourier transform, auto-correlation, cross-correlation, etc…, (for a data analysis course I'm currently preparing). I wanted to demonstrate these concepts on signals that we all have intimate familiarity with and hope that this way these concepts will be better understood than with just made up signals. The weather is excellent for demonstrating these kinds of concepts as it contains periodic temporal structure with two very different periods (daily and yearly
https://github.com/KARIM-MADRID/Python_Weather_Data_Analisis
Weather data is both intrinsically interesting, and also potentially useful when correlated with other types of data.
For example, Wildfire spread is potentially related to weather conditions, demand for cabs is famously known to be correlated with weather conditions (here, here and here you can find NYC cab ride data), and use of city bikes is probably also correlated with weather in interesting ways (check out this Austin dataset, this SF dataset, this Montreal dataset, and this NYC dataset).
Traffic is also probably related to weather.
Another potentially interesting source of correlation is between weather and crime. Here are a few crime datasets on kaggle of cities present in this weather dataset: Chicago, Philadelphia, Los Angeles, Vancouver, Austin, NYC
There are many other potentially interesting connections between everyday life and the weather that we can explore together with the help of this dataset. Have fun!
