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If anybody wrote down the list of most likely issues for underperformance that we could see in the dataset as per the slides that Ian presented, it would be super helpful!
Q: In installation csv, Is the type is in column CL, HP_Installed? Most of them are null. And ASHP, HT_ASHP
A: You have to do the join to the Performance Summary file - only homes that actually had a heat pump installed will have that populated, otherwise it'll be null. The installation stats file has all the homes who applied and had a survey. This is probably a helpful example: https://github.com/ES-Catapult/electrification_of_heat/blob/main/notebooks/Analysis%201%20-%20Seasonal%20Performance%20Analysis.ipynb - along with the add_supplementary_data() function in analysis_functions.py
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