GPT-4 On-the-Fly DataVisualization Tools: A Simple Mapping Example

Author(s): John Loewen, PhD

Originally published on Towards AI.

Super quick charts and maps from the Global Peace Index CSV

With data analysis, one of the most challenging things to do is to transform raw numbers into meaningful stories.

With AI, there are some great tools out there that are quick and efficient for this task.

GPT-4 stands out for its on-the-fly data visualization capabilities.

This article provides a walkthrough on how to leverage these capabilities to process datasets and generate visual representations, such as charts and maps, without the need for coding.

Armed with a CSV file loaded with demographic statistics and unique identifiers for each country, all it takes is a few simple prompts.

Let’s go through an example on how this all works.

The “Global Peace Index” dataset from visionofhumanity.org will serve as our data source (located HERE).

For this exercise, we will be using “Global Peace Index” data downloaded from the visionofhumanity.org website

Export the worksheet into a file called “global_peace_index.csv”.

Next, we can initiate GPT-4’s instant data analysis feature.

Start by uploading the file into the GPT-4 main chat window (click on the “Attachments” icon and choose your file), then prompt GPT-4 to have a look at the data:

It’s as simple as that — and GPT-4 gives me a detailed (and accurate!) response to my query:

As we can see, the dataset includes a row for… Read the full blog for free on Medium.

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Published via Towards AI