Data quality and completeness report of raw data

[gplssm]

Create a Jupyter notebook that the raw MaStR power plant data (<other-part-of-the-filename>_raw.csv) and reports on the quality and completeness of the data.

Number of units with/ completeness of

• correct geocoordinates (inside Germany + AWZ, lat and long available)
• wind
  • Manufacturer (i.e. Enercon)
  • Wind turbine model (i.e. E 82)
• solar
  • <see what fields are available)
• address (several fields)
• capacity data. Compare to SMARD, ...

Installed capacity

• We might can expect some wrong values for installed capacity. Plots with capacity vs. installation date might help to identify these

For prototyping, the notebook can be developed outside of this repository (i.e. with gists.github.com) and being integrated later.

Please use plotly with interactive plot such that we can benefit from hovering.