Data stored in DynamoDB is just JSON. To make it useful for a user, we need to visualize it. On Day 25, I added a "Spending Breakdown" chart to my Serverless Financial Agent.
My API returns a flat list of transactions: [{ category: "Food", amount: 10 }, { category: "Food", amount: 5 }]. But charting libraries expect grouped data: [{ name: "Food", value: 15 }].
I used a simple Javascript reduce/map logic inside my useEffect hook to transform the data before passing it to the charting library.
JavaScript // The transformation logic const categoryMap = {}; transactions.forEach(tx => { const cat = tx.category; categoryMap[cat] = (categoryMap[cat] || 0) + parseFloat(tx.amount); });
I connected this to Recharts, a composable charting library for R…
Data stored in DynamoDB is just JSON. To make it useful for a user, we need to visualize it. On Day 25, I added a "Spending Breakdown" chart to my Serverless Financial Agent.
My API returns a flat list of transactions: [{ category: "Food", amount: 10 }, { category: "Food", amount: 5 }]. But charting libraries expect grouped data: [{ name: "Food", value: 15 }].
I used a simple Javascript reduce/map logic inside my useEffect hook to transform the data before passing it to the charting library.
JavaScript // The transformation logic const categoryMap = {}; transactions.forEach(tx => { const cat = tx.category; categoryMap[cat] = (categoryMap[cat] || 0) + parseFloat(tx.amount); });
I connected this to Recharts, a composable charting library for React. Now, my dashboard shows a live, color-coded breakdown of my spending habits directly from the bank API.