- Pull the repo to your local machine or OpenOnDemand scratch storage.
- Create a Python environment using
requirements.txt. - You can run the analysis in
timeseries_data_cleaning.ipynbwhich will load the data fromtemps_premade.xlsx. - If you would like to make your own data, you can try running the Notebook
faker_timeseries_temp_data.ipynb. In that case, the Notebook will output a file,temps.xlsxwith the newly generated data.
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