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Dynamic Maps and Plots With GPT-4 and Plotly Dash: A Story about UN Population Projections
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Dynamic Maps and Plots With GPT-4 and Plotly Dash: A Story about UN Population Projections

Last Updated on December 30, 2023 by Editorial Team

Author(s): John Loewen, PhD

Originally published on Towards AI.

Time series choropleth map and violin plots with Python plotly
Plotly dashboard with a time-series choropleth map and violin plot

As a computer science professor, over the last 6 months, I have relentlessly put GPT-4 through the grinder to find its limits on Python data visualization code creation.

Recently, GPT-4’s ability to conjure up interactive Python Plotly dashboards has improved in leaps and bounds.

I have noticed steady improvement in its ability to conjure up accurate Python Plotly dashboard code of increasing complexity.

Your edge as a data scientist may be your ability to whip up quick and clean interactive maps and charts — an awesome duo.

So let’s do this — let’s use GPT-4 to conjure up a map and a chart — to tell us a story or two on global population projections — from a new report, the new UN population projections report (found HERE).

First, let’s look at how to add in a slider that allows for the animation of trends over time, starting with a global choropleth map.

And then let’s also add in an additional visualization — a violin chart — to give a 2nd (and 3rd) view to show how the global population is projected to age over the next 75 years.

To start off with, we can upload the UN… Read the full blog for free on Medium.

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