Inspiration

Based on Air quality API, we want to gain insight from air quality data in an interactive way so that we could understand the air quality difference at different places around the globe and predict the air quality for people who suffered from air pollution.

What it does

Help world bank visualize the air quality data, monitor countries and prevent them from polluting environment. Predict air quality in next couple of hours for people.

How we built it

Use Python to get data from API, and use R to shuffle the data and visualize them in R shiny.

Challenges we ran into

Lot of missing values and API function not work for python and R.

Accomplishments that we're proud of

Help world bank visualize the air quality data, monitor countries and prevent them from polluting environment. Predict air quality in next couple of hours for people's health and well-being.

What we learned

What's next for VisualAQ

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