Which Python Dashboard Is Better? Dash, Panel And Streamlit Showdown

Author(s): John Loewen, PhD

Originally published on Towards AI.

Prompting GPT-4 for multi-visual interactive dashboard creation

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As a comp sci professor, over the past year, I have heavily integrated GPT-4o into my data visual creation workflow.

Recently I have noticed that GPT-4 has improved in leaps and bounds with its ability to create Python code for multi-visual dashboards.

Has it also improved its skill in providing seamless dashboard creation for other Python dashboard libraries? Like Panel and Streamlit?

Let’s have a showdown and find out!

For this exercise, I will be using the downloaded file (saved as “happiness_years02.csv”), which includes data on global happiness metrics by country over several years (2015–2022).

It can be downloaded HERE.

To start with, we want to load the dataset with pandas, focusing on each country and the happiness score by year (2015–2022). To crystalize the view for GPT-4, we can ask GPT-4 to look at the dataset and tell us what it sees.

We can click the attachment icon in the GPT-4 main window and upload our dataset, then prompt GPT-4 for analysis:

This way, we can clarify any anomalies that may exist between GPT-4’s interpretation of the data vs. our interpretation.

GPT-4 Response:

Yep, this looks completely right. We’re using a very simple dataset for the sake of… Read the full blog for free on Medium.

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Published via Towards AI