new-cog-nb

[GL-S]

Proposed changes

The new notebook shows how to load a DEA continental COG using different overviews and quickly shows the caveats of doing that for categorical data.

EDIT: the tests are failing, by the NB runs well in both default and unstable. I am not too sure why the tests fail.

Checklist

If this is a notebook, then have you:

• Checked the structure of the notebook follows our DEA-notebooks template
• Removed any unused Python packages from Load packages
• Removed any unused/empty code cells
• Removed any guidance cells (e.g. General advice)
• Ensured that all code cells follow the PEP8 standard for code. The jupyterlab_code_formatter tool can be used to format code cells to a consistent style: select each code cell, then click Edit and then one of the Apply X Formatter options (YAPF or Black are recommended).
• Included relevant tags in the final notebook cell (refer to the DEA Tags Index, and re-use tags if possible)
• Tested notebook on the DEA Sandbox
• Cleared all outputs, run notebook from start to finish, and save the notebook in the state where all cells have been sequentially evaluated
• If applicable, update the Notebook currently compatible with line below the notebook title to reflect the environments the notebook is compatible with
• Check for any spelling mistakes using the DEA Sandbox's built-in spellchecker (double click on markdown cells then right-click on pink highlighted words). For example:

[review-notebook-app]

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[GL-S]

Not sure why this is failing the tests. The notebook runs well in both default and unstable Sandbox

[GL-S]

@cbur24 , I made some minor adjustments to the text, changed the chart titles to automatically retrieve the resolution rather than hard coded, and renamed the other COG notebook as we were saying earlier

[cbur24]

Thanks @GL-S, looks ready to merge once the tests have passed.