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Percentage formatting should not distort stored numeric ratios. That targets avoid percent double-scaling errors, not consistent numeric scale and units.

Proper monetary typing reduces imprecise floating-point calculations for currency. It may suit reliable cents-level financial totals, not consistent numeric scale and units.

Converting a noninteger to whole number without review can change the underlying business event. It is useful for enforcing whole-package quantity integrity, not for consistent numeric scale and units.

Distribution summaries distinguish number of categories from once-only entries. It is useful for quantify vendor category variety, not for diagnosing unusual age distributions.

Quality indicators summarize valid, error and empty fractions. That is meant for assess field-level validity proportions, not diagnose unusual age distributions.

Full data profiling observes rows absent from default preview samples. It would address inspect errors hidden outside preview sample, not diagnose unusual age distributions.

A missing observation is not equivalent to a measured zero and should not be silently imputed. That targets preserve meaning of unreported quantities, not exclude incomplete safety-critical readings.

A policy-defined missing-category value keeps segmentation explicit without fabricating observed classes. It may suit categorize accepted unknown values, not exclude incomplete safety-critical readings.

Reconciliation with approved source data repairs missing timestamps without arbitrary defaults. It is useful for recovering missing event times from trusted keys, not for exclude incomplete safety-critical readings.

Uppercase normalization unifies equivalent code text without changing its identifiers. It is useful for normalize case of state codes, not for protecting meaningful internal identifier spacing.

Trimming removes peripheral whitespace while preserving the meaningful interior characters. That is meant for normalize leading and trailing spaces, not protect meaningful internal identifier spacing.

Cleaning strips control characters that are not visible but affect comparisons. It would address remove nonprinting text artifacts, not protect meaningful internal identifier spacing.

Distribution summaries expose frequency and variation of column values. It would address inspect categorical value frequency, not validate anomalies beyond sampled rows.

Column profiling gives distributions and statistics for the current profiling scope. That targets inspect numeric profiling statistics, not validate anomalies beyond sampled rows.

Column quality reports valid, error and empty proportions for the selected data. It is useful for inspecting completeness and error rates, not for validating anomalies beyond sampled rows.

Date typing enables correct chronological comparisons and model relationships. It is useful for parse and type actual calendar dates, not for standardize timezone-bearing event timestamps.

Decimal typing retains fractional values required by financial calculations. Its scope is preserve noninteger numeric amounts, not standardize timezone-bearing event timestamps.

Text represents an identifier without performing arithmetic or dropping leading zeros. That is meant for preserve leading-zero identifiers, not standardize timezone-bearing event timestamps.

Locale-aware parsing recognizes grouping and decimal separators of the source culture. That targets parse European formatted currency values, not correct dot-decimal exchange-rate interpretation.

Source-locale parsing resolves ambiguous dates according to the approved convention. It may suit correctly parse day-first ambiguous dates, not correct dot-decimal exchange-rate interpretation.

Culture-sensitive conversion recognizes localized month names and format rules. It is useful for decode localized month strings, not for correcting dot-decimal exchange-rate interpretation.

Separate error quarantine preserves traceability while protecting model calculations. It is useful for auditing invalid rows without loading them into fact, not for avoiding deceptive revenue error replacement.

Sentinel normalization avoids invalid casts while preserving an explicit missing state. That is meant for handle nonnumeric missing-value marker, not avoid deceptive revenue error replacement.

Isolating error records exposes offending values and conversion context. It would address diagnose row-level import exceptions, not avoid deceptive revenue error replacement.

Removing lookalike facts would erase genuine business events. It would address preserve legitimately repeated purchases, not preserve multi-line order grain.

Reconciliation restores uniqueness at the intended dimension key grain. That targets resolve conflicting dimension key rows, not preserve multi-line order grain.

Dimension keys must represent one customer per intended dimension grain. It is useful for deduplicate identical dimension records, not for preserving multi-line order grain.

Reference validation distinguishes bad values from unrecognized but legitimate categories. It is useful for investigating unauthorized region categories, not for validating undefined code semantics before mapping.

Approved synonym mapping permits grouping consistent business states. Its scope is normalize equivalent status labels, not validate undefined code semantics before mapping.

Hard-coded stale filtering can silently discard valid new categories. That is meant for handle approved novel enum states, not validate undefined code semantics before mapping.

Physically impossible values should not enter summary statistics unexamined. That targets investigate impossible sensor readings, not assess impact of extreme but possibly valid values.

Legitimate rare business events are meaningful and should not be deleted solely for extremity. It may suit preserve valid exceptional transactions, not assess impact of extreme but possibly valid values.

Date constraints can identify records inconsistent with known business time boundaries. It is useful for detecting impossible chronology, not for assessing impact of extreme but possibly valid values.