Decarbonization is driven by usage optimization. Therefore, gaining insights of existing data sets to find to date unknown interdependencies of data.

What it does

-Importing time series data directly out of the Predix Timeseries Service for processing -Data pre-processing (cleaning) -Data visualization in terms of statistical investigation (Visual Analytics) -Data correlation matrix processing (Analytics)

How we built it

-Node -Rabbit MQ -Python

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for Team2_Submission

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