OilAtlas

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  dashboard with generic Petroleum production from 1920 to present

Inspiration

Data visualization experience

What it does

Collects data from an API and visualizes it to a dashboard

How we built it

Using the admin portal as a template, then we plugged in our API and modified the existing tables

Challenges we ran into

Merging the API and creating some sort of redundancy so as to not rely on a singular point of data collection

Accomplishments that we're proud of

Running python script in java to parse and create JSON files from .xls/.xlsx and using that to create a chart to represent the data. And attempting to connect our API to the same

What we learned

Dynamic API calls are a nightmare to generate

What's next for OilAtlas

Better connecting the stocks API to follow trends and correlate to the oil production. Collect more data from the API and later report on it. Modify the way we collect user input to make it easier to access and understand.

Built With

• axios
• docker
• eia
• express.js
• github
• node.js
• react