Make the threshold segmentation compatible with MS SQL Server #136
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Pull Request Overview
This pull request updates the total metrics calculation in the segmentation analysis to ensure compatibility with MS SQL Server and improve accuracy with float division.
- Updated the total metrics calculation to use aggregate followed by mutate.
- Changed division operations to apply float casts for accurate metric calculations.
Comments suppressed due to low confidence (1)
pyretailscience/analysis/segmentation.py:281
- The new total_metrics dataframe uses the column 'segment_name', which may be inconsistent with the grouping column name used in segment_metrics. Consider renaming 'segment_name' to match the original segment column name to ensure compatibility during the union operation.
total_metrics = data.aggregate(**aggs).mutate(segment_name=ibis.literal("Total"))
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Actionable comments posted: 0
🧹 Nitpick comments (2)
pyretailscience/analysis/segmentation.py (2)
287-288: Consider adding float casting for all division operationsWhile you've added float casting for some metrics, there are other division operations that might benefit from explicit float casting for consistency, such as:
calc_spend_per_custcalc_spend_per_transThis would make the code more consistent and ensure floating-point division throughout all calculations.
- cols.calc_spend_per_cust: ibis._[cols.agg_unit_spend] / ibis._[cols.agg_customer_id], - cols.calc_spend_per_trans: ibis._[cols.agg_unit_spend] / ibis._[cols.agg_transaction_id], + cols.calc_spend_per_cust: ibis._[cols.agg_unit_spend] / ibis._[cols.agg_customer_id].cast("float"), + cols.calc_spend_per_trans: ibis._[cols.agg_unit_spend] / ibis._[cols.agg_transaction_id].cast("float"),
297-297: Consider adding float casting for price_per_unit calculationFor consistency with the other division operations that now use float casting, consider adding a cast to float for the divisor in the price_per_unit calculation as well.
- cols.calc_price_per_unit: ibis._[cols.agg_unit_spend] / ibis._[cols.agg_unit_qty].nullif(0), + cols.calc_price_per_unit: ibis._[cols.agg_unit_spend] / ibis._[cols.agg_unit_qty].cast("float").nullif(0),
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pyretailscience/analysis/segmentation.py(1 hunks)
🔇 Additional comments (3)
pyretailscience/analysis/segmentation.py (3)
281-281: Improved total metrics calculationThis change simplifies the total metrics calculation by directly aggregating the data and then adding the "Total" segment name through mutation instead of using a group-by operation. This approach should be more compatible with MS SQL Server while maintaining the same functionality.
289-290: Proper floating-point divisionCasting the denominators to float ensures accurate calculations by preventing integer division, which could lead to truncation errors. This is particularly important for metrics like transactions per customer and customer percentages where precision matters.
298-299: Consistent floating-point division for unit metricsThe cast to float for the transaction count denominator ensures that units per transaction calculations maintain decimal precision, consistent with the other metric calculations in the file.
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fix: update total metrics calculation and ensure float division for accuracy
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