Developers building serverless applications often store raw JSON in AWS DynamoDB, but users need visual insights. One engineer transformed flat transaction data from a financial agent into a live 'Spending Breakdown' chart for their dashboard. This required reformatting the data structure for compatibility with charting libraries.

The core challenge was converting a list of transactions like `[{ category: 'Food', amount: 10 }]` into grouped data `[{ name: 'Food', value: 15 }]`. A straightforward JavaScript `reduce` and `map` operation inside a React `useEffect` hook aggregated the amounts by category. This data transformation is a common pattern when bridging backend storage with frontend visualization.

The final step was connecting the processed data to Recharts, a composable charting library for React. The result is a color-coded, live dashboard view of spending habits pulled directly from the bank API. This approach demonstrates a practical workflow for making serverless data actionable for end-users, moving beyond raw JSON storage.