feat(marimo): chainlink case study

[ccerv1]

Prompt:

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I'd like to create a marimo notebook @superchain-chainlink-case.py in the style of a @value-chain.py template that looks at chainlink's impact along the following dimensions:

1. Direct Contract Interactions: Take a simplistic view and calculate the cumulative transaction fees generated from interactions with the price feed contracts
2. Downstream Impact on Transaction Fees: Focus on the second-order consequences and attribute a certain % of transaction fees generated by apps interacting with the price feed contracts to Chainlink (i.e. assumes these oracles contribute to the success/legitimacy of the apps)
3. Implied Risk Reduction: Use historical data about oracle manipulation exploits on other chains that didn't integrate with Chainlink to extrapolated potential avoided losses
4. Pre-Post Analysis of Revenue Lift: Run a simple observational analysis that compares chain revenues before and after the grant's start date and attribute a certain % to Chainlink (could also be coupled with a synthetic control consisting of peer chains without Chainlink integrations)

Please create the scaffolding for the notebook (you can add some dummy data) and I will fill in the specific queries and tranformations later on. Include markdown sections explaining each analysis component.