{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/8566a0d4d3074f0daedfb4175169e786\" 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/8566a0d4d3074f0daedfb4175169e786-528ed04669eb42b0.gif","duration":172.109,"title":"Natural Language to SQL Demo with Insights 📊","description":"In this video, I demonstrate a natural language to SQL agent I built using Python and the Entropy Cloud API. I show how you can ask business questions in plain English, and the API generates SQL queries to retrieve data from a sales database. I provide examples such as identifying the top five products by total revenue and analyzing customer segments by revenue. I also explore the percentage of orders that were cancelled. I encourage you to try asking your own questions to see the results."}