{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/b2ae31f4e4c2469dabd29462739a2400\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/b2ae31f4e4c2469dabd29462739a2400-89c53d0c94b40d90.gif","duration":296.512,"title":"Building Powerful Datasets with Batch Queries in Halcyon 📊","description":"In 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."}