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  • Øivind Rui

data exploration

By just including the fantastic plotly python library, we are now inspecting big data in semantic context defined by the Reference Designation System (RDS: ISO/IEC 81346).


As a small example here is showing only one of the ~50 returned inverters for these systems at one solar PV site. Fully interactive as part of a data analytics notebook (Jupyter).


Another query aggregating just north of 300M data samples is resolved and returned (including transport from the cloud) in approximately a minute with BigQuery as the time-series provider.


When data is returned to the notebook, wrangling, inspection and analytics is immediate.



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