How to Build an Interactive Dashboard with DeepSeek R1

Video Description

Want to build an interactive map dashboard quickly and effortlessly? In this tutorial, I’ll show you how to create a dynamic data visualization dashboard using DeepSeek R1, Plotly, and Dash, quickly and easily. Here's what you'll learn in this video: 1. How to source population data (with the help of DeepSeek R1) 2. How to use Python, Plotly, and Dash to build an interactive dashboard 3. How to click on a state to view its population and track trends dynamically 4. How AI-powered tools like DeepSeek R1 can help you write efficient Python code faster I designed this dashboard to visualize population variations across U.S. states. Using DeepSeek R1, I found reliable data sources (such as the U.S. Census Bureau and GitHub). Then, I generated Python code to create a fully functional dashboard where clicking on a state displays its population and long-term trends below the map. This tutorial highlights how AI-powered coding assistants such as DeepSeek, ChatGPT, Qwen2.5 can significantly speed up development and help you create custom dashboards with ease. Whether you're a beginner or an expert, this approach saves time while delivering professional-grade results. Subscribe to techVmedia for more tech and data science related contents - youtube.com/@datalynxhub Keywords: DeepSeek r1 tutorial, DeepSeek r1 how to use, DeepSeek for GIS, AI for GIS, DeepSeek for mapping, Sam Altman on DeepSeek, DeepSeek r1 Perplexity, How to make an interactive map dashboard in Python, Python dashboard with Plotly and Dash, AI-generated Python code, DeepSeek R1 for coding, Data visualization with Python, Create dashboards with DeepSeek R1, Python interactive dashboard tutorial