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How to Prompt GPT-4 for Super Streamlit Death Penalty Data Visuals

Linda Torries – Tech Writer & Digital Trends Analyst by Linda Torries – Tech Writer & Digital Trends Analyst
March 5, 2025
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How to Prompt GPT-4 for Super Streamlit Death Penalty Data Visuals
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Interactive Data Visuals with Python, Streamlit, and GPT-4

Author: John Loewen, PhD

Originally published on Towards AI

Interactive Data Visualization

With Python data visual design, there is a rapidly growing list of awesome tools that create wicked graphs and charts in record time. For example, by combining Python’s Streamlit and Plotly libraries, you can easily design a simple prototype interface to explore shifts in global issues by country.

Rapid Prototyping

To make it even easier, with now near-ubiquitous use of LLMs such as GPT-4, data scientists can simply prompt to generate working Python code for building these dashboards directly. Never has it been easier to create rapid prototypes to express data in deep and granular ways.

Exploring Death Penalty Data

Bringing death penalty data to life shows us where the world stands on one of the most controversial practices in the legal system. What are some of the trends over the years? Using this recently compiled dataset, let’s prompt GPT-4 to create a multi-visual Streamlit app that tells us a story about global death penalty trends.

Building the Interactive Dashboard

To build our interactive dashboard, let’s work with two primary datasets: the death penalty dataset and the COW-to-ISO mapping dataset. Together, these datasets combine the death penalty data and country boundaries, allowing us to represent the trends in a more visual and engaging way.

What’s Next?

Read the full blog for free on Medium to learn more about how to use GPT-4 to create interactive data visualizations and explore the death penalty dataset.

Conclusion

In this article, we explored how to use Python, Streamlit, and GPT-4 to create an interactive dashboard to visualize global death penalty trends. By combining these technologies, data scientists can quickly and easily design prototypes to express complex data in a more engaging and interactive way.

FAQs

  • What is Streamlit?
    • Streamlit is an open-source Python library for creating web applications.
  • What is Plotly?
    • Plotly is a popular Python library for creating interactive, web-based data visualizations.
  • What is GPT-4?
    • GPT-4 is a large language model that can be used for a variety of natural language processing tasks, including generating code and creating interactive dashboards.
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Linda Torries – Tech Writer & Digital Trends Analyst

Linda Torries – Tech Writer & Digital Trends Analyst

Linda Torries is a skilled technology writer with a passion for exploring the latest innovations in the digital world. With years of experience in tech journalism, she has written insightful articles on topics such as artificial intelligence, cybersecurity, software development, and consumer electronics. Her writing style is clear, engaging, and informative, making complex tech concepts accessible to a wide audience. Linda stays ahead of industry trends, providing readers with up-to-date analysis and expert opinions on emerging technologies. When she's not writing, she enjoys testing new gadgets, reviewing apps, and sharing practical tech tips to help users navigate the fast-paced digital landscape.

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