video1.0<iframe src="https://www.loom.com/embed/b2ae31f4e4c2469dabd29462739a2400" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/b2ae31f4e4c2469dabd29462739a2400-89c53d0c94b40d90.gif296.512In this video, I walk you through how our data science team at Halcyon uses batch queries to create datasets from integrated resource plans (IRPs). I demonstrate the process using a Google Sheet, starting with seven IRPs and adding key information such as planning horizons, peak demand, and capacity addition plans for solar energy. By running specific queries, I show how we can enrich our dataset and gain insights into over 500 tagged IRP documents. I encourage you to think about how you can apply this method to your own data projects. Let’s leverage these tools to enhance our analysis and decision-making.