What Can GPT-4 Do Now With Data Visualization Report Generation?

Author(s): John Loewen, PhD

Originally published on Towards AI.

The state of affairs with automatic data visualization reporting

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GPT-4, as a powerful language model, can analyze data, generate visualizations, and create reports from structured datasets.

For example, you can ask the LLM to access and provide information about fields in CSV and XLSX files and it will respond quickly and accurately.

However, while it excels in many areas of data manipulation and reporting, it also has specific limitations.

Let’s take a look together at what GPT-4 does well in this domain and where it suffers, all with practical examples using a current global development dataset.

The Harvard Comparative Death Penalty Database provides a global yearly categorization of death penalty status. It includes both historical and modern data, allowing us to track how the use of the death penalty has changed globally over time.

The dataset can be downloaded HERE.

Bringing death penalty data to life shows us where the world stands on one of the most controversial practices in the legal system. Some countries have moved away from the death penalty while others still hold on.

Using this real-life dataset as our source, let’s take a deeper look at how GPT-4 capabilities can be leveraged to automate some data visualization generation and reporting tasks.

One… Read the full blog for free on Medium.

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Published via Towards AI