Active Borrowers per Lending Platform (Q2): By counting the unique borrowers on each platform, this query reveals which platforms dominate the NFT lending market. Understanding the number of active users is crucial for investors and platform operators to assess platform stability and growth potential.

Interest Rates Across Different Projects (Q3): Analyzing the average interest rates for each project allows us to assess market risks and returns. This is critical for risk assessment and investment decisions, helping investors and borrowers choose appropriate projects for investment or lending.

Lending and Repayment Event Distribution (Q4): Tracking monthly lending and repayment events helps to understand the cyclicality and trends of market activities. This provides market participants with insights into the timing of market activities and capital flows, aiding in forecasting peak periods of market activities and cash flows.

Total Lending Amount Statistics (Q1): This query aggregates the total lending amount in USD for each NFT project, providing a macro view of the financing activities within projects, which is crucial for identifying projects with high liquidity and growth potential. This key indicator of project liquidity and market acceptance helps investors and analysts discern market preferences and trust levels.

The purpose of this query is to spotlight the maximum financial engagement within each project. Understanding the peak loan amounts can help in assessing the financial scale and risk appetites in the NFT lending markets. This insight is particularly useful for evaluating the confidence that financial backers have in different NFT projects.

Through these meticulously designed queries, we not only gain insights into the current state of the lending market but also predict future trends. This information is invaluable to all market participants, whether in formulating investment strategies, assessing project risks, or monitoring market activities daily. Each query is designed to address specific business questions and provides tailored insights and analyses for a particular target audience. The ultimate goal of this work is to enhance market transparency and participants' understanding through data-driven decision-making.