What if we collected a lot af data.. fast forward to 10 years from now.. then we could analyse it.. After you collected some data you could do all the things in our time series tutorial.
Additionally we can also get different data from the Hamburg university, the ICDC Data Center.
First create the environment and setup the environment locally, by running:
conda env create -f environment.yaml
will create the conda environemnt used for mlflow runsactivate weather
will activate the environment .. hopefullypyenv local miniconda3-latest/envs/weather
might work if miniconda3-latest installed with pyenv
To get jupyter lab to be plotly friendly you can install some stuff from here .. but it takes a while.
For dabbing into data series we will follow this tutorial on time series