Period over period analysis in a notebook has never been easier or more flexible. With a powerful Python workspace that also supports SQL, you can build a fully interactive report for anyone, and give them the tools to customize their timeframes and periods of interest.
When you're done, just click "Publish" and your results are instantly shareable.
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