Motorblog
A lot of data is recorded in time domain, which means you will have a datapoint in the form of
timestamp: value
A useful approach to get insights into the data is, to decompose the timeseries. That usually means, you seperate your data into
- seasonal
- trend
- residual
This famous library from R (`decompose`) is available in Python via statsmodel since version 0.6. Yeah! Let’s take a look into it with the parking lot data of city of Dresden.