Nowadays, people are more and more quick to judge a person by his looks and sadly, it affects the person’s self-esteem that may lead to depression. This is why, I was inspired to create my first data visualization for my Data Science Program by FTW Foundation. I used the diabetes dataset of Pima Indians in the US.

I can’t count how many times I’ve heard the following “common myths” people say about genes or being overweight to diabetes. In English translation: “If he’s fat, he surely has diabetes.” and “Diabetes is hereditary. My Granny has. For sure I’ll have it, too.”

The dataset I used was not totally clean, meaning, there were some rows with missing data. I had to drop them because I still don’t know how to do imputations as of this writing. Nevertheless, by visualizing this data, I was able to bust common myths surrounding genes, being overweight and diabetes. At the same time, I realized that type 2 diabetes is a lifestyle disease and can be prevented.

You can view this on Tableau Public.

Busting Common Myths Surrounding Genes, BMI and Diabetes with Data Visualization was originally published in Analytics Vidhya on Medium, where people are continuing the conversation by highlighting and responding to this story.