{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/55242008f6724e69878647025f99c37f\" 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/55242008f6724e69878647025f99c37f-1691513871592.gif","duration":413.341,"title":"The Prompt #10: ChatGPT's Code Interpreter","description":"In this video, I will guide you through using the Code Interpreter feature in ChatGPT to create smart visuals from raw data. By upgrading to ChatGPT Plus, you gain access to GPT-4, plugins, and the code interpreter, which offers additional tools on top of the standard GPT-3.5. I will show you how to upload a CSV file and interpret it with the code interpreter, even if you're not an Excel or programming expert. Then, I will demonstrate how to provide a persona to ChatGPT and ask it to create a line chart of CO2 emissions in China over the past 20 years. Finally, we'll expand the visualization to include the UK and the US on the same graph. Join me in exploring the power of the code interpreter and deriving rich insights from unstructured data."}