[x] Handle the data explicitly instead of loading it dynamically from an external URL directly from the notebook
Given the search I did last summer Gapminders was the only project that was downloading data dynamically from a notebook (e.g. pd.read_csv(external_url)). It should instead have its data better defined. I'm suggesting adding data as a data source in the downloads section of its anaconda-project.yml file. I would also be good to add a small test dataset in test_data/.
(If the data isn't heavy at all it could be added to the /data subfolder in the project directly).
Given the search I did last summer Gapminders was the only project that was downloading data dynamically from a notebook (e.g.
pd.read_csv(external_url)
). It should instead have its data better defined. I'm suggesting adding data as a data source in thedownloads
section of its anaconda-project.yml file. I would also be good to add a small test dataset intest_data/
.(If the data isn't heavy at all it could be added to the
/data
subfolder in the project directly).