Data Project 3: Obesity Analysis

Author(s): Gencay I.

Originally published on Towards AI.

How to prevent it, by using data analysis on the Real-life dataset?

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Doing a data project might help you land your data-related job, but not just that, it should be fun, too! In our first Data Project, we explored life longevity factors.

Do you know that consuming less food might lead to an 11.67-year increase in life expectancy, which is more significant than the seven years of healthy eating alone?

Then, we’ve seen how to predict the presidential election in the USA and created a map like the one below; check it from here.

USA Election Map from Election Prediction Data Project.

In this one, we’ll explore the obesity dataset. And at the end of this analysis, you’ll see a solid way of preventing obesity. So let’s get started!

If you want to reach this project’s source code, it will be on the invited-only notion page, subscribe from here.

Source code

At this step, let’s discover our dataset. Here are the columns of our dataset.

column names

As you can see, our dataset includes too many different features to predict obesity. Phone calls obtain the dataset, and it has been using one of the academic articles… Read the full blog for free on Medium.

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Published via Towards AI