fix(pipeline): load 2023/24 KS4/KS2 data and DfE LA averages (C2, H2, part 1 of 2) #185
@@ -61,10 +61,11 @@ history from the full DataFrame and supplementary data from marts. Comparisons
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batch supplementary queries across selected URNs. Async routes still contain
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synchronous dependency calls; a fully asynchronous database layer is not present.
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Benchmarks are DfE's own figures, read from marts: `fact_ks2_national_averages`
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and `fact_ks4_national_averages` for England, and `fact_ks4_la_averages` (all
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state-funded schools) for the search rows' "vs LA avg". The API never averages
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school rows to make a benchmark.
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DfE's official benchmarks live in marts: `fact_ks2_national_averages` and
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`fact_ks4_national_averages` for England, and `fact_ks4_la_averages` (all
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state-funded schools, per LA) for the search rows' "vs LA avg".
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`data_loader.compute_benchmarks` computes further state-school benchmarks from
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our own dataset; they are not DfE figures and are labelled as computed.
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## Frontend boundaries
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