The third effect, in contrast, is negligible for infinitely small bins. The first two effects are negligible only in the limit of infinite surveys. Here, we improve upon the standard method by taking into account three effects: the finite window function, the correlation between redshift bins and the uncertainty on the bin redshift. Most of the forecasts for cosmological parameters in galaxy clustering studies rely on the Fisher matrix approach for large-scale experiments like DES, Euclid or SKA. etc., or you can subtract one from the max() if you know there are nulls.The Fisher matrix is a widely used tool to forecast the performance of future experiments and approximate the likelihood of large data sets. If you want to not count null values you need a case when customer_id is not null then dense_rank().
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