Aggregate 400+ Credit Cards Data
Budget: ₹600 – ₹1,500 INR
I’ve compiled a list of 400-plus credit cards and now need every bit of critical information placed into a single, well-structured Google Sheet. For each card I want at least forty discrete data points recorded. Core details absolutely must include interest rates and fees, rewards and benefits, and eligibility criteria; beyond that, I’ll share a checklist covering the remaining fields once we get started.
Accuracy is key—numbers should match the issuer’s latest published figures, and reward rules can’t be paraphrased in a way that changes meaning. Consistency in naming conventions, units (e.g., APR as a percentage, annual fee in dollars), and date formats will make the sheet usable for comparisons and pivot tables.
You’ll deliver one Google Sheet, cleanly formatted with freeze panes, filters enabled, and no empty rows. I’ll spot-check a sample of cards before sign-off, looking for 100 % completion of the required columns and error-free entries. If you’re meticulous with data research and comfortable working in Google Sheets, this should be straightforward—just time-intensive.
Accuracy is key—numbers should match the issuer’s latest published figures, and reward rules can’t be paraphrased in a way that changes meaning. Consistency in naming conventions, units (e.g., APR as a percentage, annual fee in dollars), and date formats will make the sheet usable for comparisons and pivot tables.
You’ll deliver one Google Sheet, cleanly formatted with freeze panes, filters enabled, and no empty rows. I’ll spot-check a sample of cards before sign-off, looking for 100 % completion of the required columns and error-free entries. If you’re meticulous with data research and comfortable working in Google Sheets, this should be straightforward—just time-intensive.
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