We were inspired by the huge amounts of data on many opioids being prescribed, we wanted to find out what was the cause of such a huge consumption and try to find solutions

What it does

Provides a map of the total amount of 30-day prescription fills that were with any opioid

How we built it

we used pandas on google cloud as well as plotly, website was made in html and css as well as hosted on

Challenges we ran into

cleaning the data was a huge problem as well as processing the dataset.

Accomplishments that we're proud of

making the website as well as the bubble map

What we learned

how to process large amounts of data as well as present it in a conceivable way

What's next for OpioidRadar

making more bubble maps on different social-economical factors as well as crime rate around the area

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