{ "category": "Statistical functions", "display_name": "AVERAGEIFS", "entry_kind": "built_in_function", "eval_api": { "method": "POST", "url": "https://handbook.dnacalc.com/api/eval" }, "function_id": "FUNC.AVERAGEIFS", "implementation_state": { "answer_bank": null, "detail": "Recorded: 13 workbook cells.", "dnacalc_commit": "9e1884369a678158dd82d3d74188daf986995e87", "in_catalogue": true, "state": "matches", "state_label": "Matches every recorded Excel answer", "summary": "Matches all 13 recorded answers", "workbook_corpus": { "cells": 13, "matched": 13 } }, "implementations": [ { "commit": "9e1884369a678158dd82d3d74188daf986995e87", "flavour": "excel-compatibility-candidate", "language": "Rust", "name": "CalcFunc", "own_code": [ "https://github.com/DnaCalc/DnaCalc/blob/9e1884369a678158dd82d3d74188daf986995e87/crates/calc-func/src/catalogue/conditional.rs#L170-L176", "https://github.com/DnaCalc/DnaCalc/blob/9e1884369a678158dd82d3d74188daf986995e87/crates/calc-func/src/catalogue/conditional.rs#L241-L250" ], "repository": "https://github.com/DnaCalc/DnaCalc", "shared_code": [ "catalogue/aggregate::reader", "catalogue/aggregate::read_reference", "catalogue/comparison::numbers", "catalogue/comparison::in_band", "catalogue/comparison::Rounded::up", "catalogue/comparison::Roundings::of", "catalogue/comparison::Roundings::disjoint", "catalogue/comparison::texts", "catalogue/comparison/collation::compare", "catalogue/comparison/collation::weighed", "catalogue/comparison/collation::measured_iteration_extension", "catalogue/comparison/sort_key::table", "catalogue/comparison/sort_key::decode64", "catalogue/comparison/sort_key::Reader::byte", "catalogue/comparison/sort_key::Reader::varint", "catalogue/comparison/sort_key::Reader::done", "catalogue/comparison/sort_key::in_ranges", "catalogue/comparison/sort_key::build", "catalogue/comparison/sort_key::han_base", "catalogue/comparison/sort_key::derive", "catalogue/comparison/sort_key::shared_jamo_tails", "catalogue/comparison/sort_key::ordinary_jamo_prefix", "catalogue/comparison/sort_key::independent_jamo_suffix", "catalogue/comparison/sort_key::jamo_leading_primary", "catalogue/comparison/sort_key::leading_order", "catalogue/comparison/sort_key::Before::separate_special", "catalogue/comparison/sort_key::Gathered::kana", "catalogue/comparison/sort_key::Gathered::unit", "catalogue/comparison/sort_key::parts", "catalogue/comparison/sort_key::diacritic_order", "catalogue/comparison/sort_key::diacritics", "catalogue/conditional::conditional", "catalogue/conditional::total", "catalogue/conditional::mean", "catalogue/conditional::Range::shape", "catalogue/conditional::range", "catalogue/conditional::pairs", "catalogue/conditional::Plan::each_matched", "catalogue/conditional::row", "catalogue/conditional::offset", "catalogue/conditional::read_range", "catalogue/conditional::verdicts", "catalogue/conditional::target_cells", "catalogue/conditional::used", "catalogue/conditional::Match::of", "catalogue/conditional::Match::negated", "catalogue/conditional::Op::holds", "catalogue/conditional::Op::is_equality", "catalogue/conditional::spells", "catalogue/conditional::criterion", "catalogue/conditional::rank", "catalogue/conditional::criterion_text", "catalogue/conditional::decided", "catalogue/conditional::Criterion::verdict", "catalogue/conditional::equality", "catalogue/conditional::is_surrogate", "catalogue/conditional::wildcard", "decimal::low32", "decimal::Natural::from_u64", "decimal::Natural::pow10", "decimal::Natural::normalize", "decimal::Natural::is_zero", "decimal::Natural::mul_add_small", "decimal::Natural::times_pow10", "decimal::Natural::times_pow5", "decimal::Natural::times_pow2", "decimal::ExactDecimal::binary", "ported/text_kernels::text", "ported/text_kernels::text_from_str", "ported/text_kernels::fold_unit", "ported/text_kernels::push_singleton_or_original", "ported/text_kernels::push_lower", "ported/text_kernels::lower" ], "source": "https://github.com/DnaCalc/DnaCalc/blob/9e1884369a678158dd82d3d74188daf986995e87/crates/calc-func/src/catalogue/conditional.rs#L170-L176", "state": "matches", "suite": null, "summary": "Matches all 13 recorded answers" } ], "json_url": "https://handbook.dnacalc.com/api/functions/FUNC.AVERAGEIFS.json", "name": "AVERAGEIFS", "notes": [], "schema": "efh.function-reference/v1", "section_order": [ "what-it-does", "try-it", "quirks", "how-to-implement", "version-differences", "alternatives" ], "sections": { "alternatives": "\n### Relationships\n\n- **[AVERAGEIF](FUNC.AVERAGEIF.md)** — the singular form, with reversed argument order and the\n anchoring rule this function drops. The shared criteria language is documented there.\n- **`SUMIFS` / `COUNTIFS` / `MAXIFS` / `MINIFS`** — the rest of the plural family, same module,\n same conjunction, same shape rule. `AVERAGEIFS` is `SUMIFS/COUNTIFS` only when every matched\n cell is numeric; when a matched cell holds text the divisors differ, because `COUNTIFS`\n counts matched positions and `AVERAGEIFS` counts matched numeric cells.\n- **`DAVERAGE`** — the database-family conditional mean. It expresses OR natively, through\n multiple criteria rows, which is exactly what `AVERAGEIFS` cannot do; see\n [DAVERAGE](FUNC.DAVERAGE.md).\n- **`FILTER` + `AVERAGE`**, or `AVERAGE(IF(...))` as an array formula — the routes that can\n express disjunction and relational conditions. They use ordinary worksheet comparison, so\n they do not inherit the wildcard language or the tolerant numeric comparison.\n- **`GROUPBY` / `PIVOTBY`** — where a whole table of conditional means is wanted rather than\n one cell.\n\n\n", "how-to-implement": "\n### Numerical notes\n\n\nThe reduction is the same plain sequential `f64` accumulation and single division as\n[AVERAGE](FUNC.AVERAGE.md#numerical-notes), applied to the masked subset in row-major order.\nIts error analysis carries over unchanged: a bound proportional to \\(\\sum|x_i|\\) over the\nselected cells, and order sensitivity.\n\nTwo things are specific to this surface.\n\n", "quirks": "\n### Differences from AVERAGEIF that are not just \"more criteria\"\n\n\n| | `AVERAGEIF` | `AVERAGEIFS` |\n|---|---|---|\n| Averaged range | third argument, optional | first argument, required |\n| Shape rule | anchored: only the top-left of `average_range` matters | **exact**: every range must be the same size and shape |\n| Criteria count | exactly one | one or more, conjoined |\n| Argument structure | fixed 2–3 | first argument plus range/criterion pairs |\n| Documented logical rule | TRUE/FALSE cells are **ignored** | TRUE evaluates as 1, FALSE as 0 |\n\nThe documented logical rule is the row where the two Microsoft pages contradict each other; see\nthe divergences section.\n\n\n\n### Result and edge cases\n\n\nReturns `Number`.\n\n- **No position satisfies every criterion** → `#DIV/0!`, documented: \"If there are no cells\n that meet all the criteria, AVERAGEIFS returns the #DIV/0! error value.\"\n- **A single criterion pair.** `AVERAGEIFS(B1:B10, A1:A10, \">5\")` is the exact-shape analogue\n of `AVERAGEIF(A1:A10, \">5\", B1:B10)`, and is the safer of the two to write precisely because\n no anchoring can occur.\n- **Empty cells in `average_range`** contribute to neither sum nor count.\n- **Overlapping ranges**, including using `average_range` as its own criteria range, are\n ordinary.\n- **Arrays.** The surface lifts natively (`lift_broadcast_profile: surface_native`); inline\n array arguments are accepted but must match shape exactly, since an array carries no\n reference to re-anchor.\n\n\n\n### Documentation divergences\n\n3. **The `#DIV0!` spelling** appears in the remark text on both pages where `#DIV/0!` is meant;\n noted so a reader searching for the code finds the remark.\n\n\n", "sources": "- Microsoft, \"AVERAGEIFS function\" —\n \n (syntax and argument text; the 1-to-127 range and criteria limits; the blank-or-text `#DIV0!`\n remark; the empty-criteria-cell-as-zero remark; the TRUE-as-1/FALSE-as-0 remark; the\n all-criteria-true rule; the same-size-and-shape requirement contrasted with `AVERAGEIF`; the\n cannot-be-translated-into-numbers remark; the no-cells-meet-criteria `#DIV/0!`; and the\n wildcard set).\n- Microsoft, \"AVERAGEIF function\" —\n \n (quoted here only for the contradicting ignored-logicals remark and the anchoring statement).\n- Handbook projections `data/functions/FUNC.AVERAGEIFS.json` and\n `data/presence/FUNC.AVERAGEIFS.json`.\n- Handbook, [AVERAGEIF](FUNC.AVERAGEIF.md) (the shared criteria language),\n [AVERAGE](FUNC.AVERAGE.md) (the reduction's error analysis),\n [Coercion and lifting](../model/02-coercion-and-lifting.md).\n- Handbook `CHARTER.md` sections 1, 3 and 7; `content/model/06-claim-language.md`.\n\n", "version-differences": "No comparison between specific Excel builds is recorded here yet. This does not establish that all builds behave alike.", "what-it-does": "\n`AVERAGEIFS(average_range, criteria_range1, criteria1, [criteria_range2, criteria2], …)`\naverages the numeric cells of `average_range` at the positions where **every** criterion holds:\n\n M = { i : criteria₁(criteria_range₁[i]) ∧ … ∧ criteria_m(criteria_range_m[i]) }\n result = ( Σ_{i ∈ M, average_range[i] numeric} average_range[i] )\n / #{ i ∈ M : average_range[i] numeric }\n\nThe conjunction is positional, not relational: position \\(i\\) in every criteria range refers to\nthe same row of the same conceptual table as position \\(i\\) in `average_range`. This is why the\nshapes must agree, and it is why `AVERAGEIFS` cannot express a join.\n\nMicrosoft states the rule in one sentence: \"Each cell in average_range is used in the average\ncalculation only if all of the corresponding criteria specified are true for that cell.\"\n\nThere is no OR form. Disjunction has to be built as a sum of `AVERAGEIFS` results — which is\nwrong for a mean, because means do not add — or by moving to `FILTER` or `SUMPRODUCT`. That\nasymmetry (AND is a function, OR is not) is a real limitation of the whole `…IFS` family.\n\nThe criteria parsing and cell-matching stages are shared verbatim with\n[AVERAGEIF](FUNC.AVERAGEIF.md#the-criteria-mechanism), `COUNTIF(S)`, `SUMIF(S)`, `MAXIFS` and\n`MINIFS`; that section is the single description, and it is not repeated here.\n\n\n\n### Arguments\n\n\n| Argument | Meaning | Default |\n|---|---|---|\n| `average_range` | The cells actually averaged. Required, and **first**. | — |\n| `criteria_range1` | The first range tested. Required. | — |\n| `criteria1` | The first criterion. Required. | — |\n| `criteria_range2, criteria2 …` | Further range/criterion pairs. Optional, in pairs. | — |\n\nThe argument order is reversed relative to `AVERAGEIF`. In `AVERAGEIF` the tested range comes\nfirst and the averaged range is an optional third argument; in `AVERAGEIFS` the averaged range\ncomes first and is mandatory. Rewriting one as the other by adding a criterion pair silently\nproduces a different formula.\n\n\n" }, "signature": { "display": "AVERAGEIFS(average_range, criteria_range1, criteria1, [criteria_range2], [criteria2], ...)", "parameters": [ { "description": null, "name": "average_range", "optional": false, "repeats": false }, { "description": null, "name": "criteria_range1", "optional": false, "repeats": false }, { "description": null, "name": "criteria1", "optional": false, "repeats": false }, { "description": null, "name": "criteria_range2", "optional": true, "repeats": false }, { "description": null, "name": "criteria2", "optional": true, "repeats": true } ], "trailing_repeats": true }, "sources": { "metadata": { "admission": { "label": "implemented", "reason": null }, "arity": { "max": 255, "min": 3 }, "category": "Statistical functions", "classification": { "arg_preparation_profile": "RefsVisibleInAdapter", "coercion_lift_profile": "Custom", "determinism_class": "Deterministic", "error_collapse_profile": "ReductionFold", "fec_dependency_profile": "RefOnly", "host_interaction_class": "None", "kernel_signature_class": "Custom", "rich_value_usage": "RichBlind", "surface_fec_dependency_profile": "RefOnly", "thread_safety_class": "SafePure", "volatility_class": "NonVolatile" }, "descriptions": { "long": null, "short": "Mean of the cells that meet every one of several conditions", "short_source": "dna-calc-own" }, "docs": { "english_description": "Returns the average (arithmetic mean) of all cells that meet multiple criteria", "microsoft_url": "https://support.microsoft.com/en-us/office/averageifs-function-48910c45-1fc0-4389-a028-f7c5c3001690" }, "entry_kind": "built_in_function", "localized_family_names": null, "localized_names": [ { "locale": "ar-SA", "name": "AVERAGEIFS" }, { "locale": "bg-BG", "name": "AVERAGEIFS" }, { "locale": "cs-CZ", "name": "AVERAGEIFS" }, { "locale": "da-DK", "name": "MIDDEL.HVISER" }, { "locale": "de-DE", "name": "AVERAGEIFS" }, { "locale": "el-GR", "name": "AVERAGEIFS" }, { "locale": "en-AU", "name": "AVERAGEIFS" }, { "locale": "en-GB", "name": "AVERAGEIFS" }, { "locale": "en-US", "name": "AVERAGEIFS" }, { "locale": "es-ES", "name": "PROMEDIO.SI.CONJUNTO" }, { "locale": "et-EE", "name": "AVERAGEIFS" }, { "locale": "fi-FI", "name": "KESKIARVO.JOS.JOUKKO" }, { "locale": "fr-FR", "name": "MOYENNE.SI.ENS*" }, { "locale": "he-IL", "name": "AVERAGEIFS" }, { "locale": "hr-HR", "name": "AVERAGEIFS" }, { "locale": "hu-HU", "name": "ÁTLAGHATÖBB" }, { "locale": "id-ID", "name": "AVERAGEIFS" }, { "locale": "it-IT", "name": "AVERAGEIFS" }, { "locale": "ja-JP", "name": "AVERAGEIFS" }, { "locale": "ko-KR", "name": "AVERAGEIFS" }, { "locale": "lt-LT", "name": "AVERAGEIFS" }, { "locale": "lv-LV", "name": "AVERAGEIFS" }, { "locale": "nb-NO", "name": "GJENNOMSNITTHVIS" }, { "locale": "nl-NL", "name": "AVERAGEIFS" }, { "locale": "pl-PL", "name": "ŚREDNIA.WARUNKÓW" }, { "locale": "pt-BR", "name": "MÉDIASES" }, { "locale": "pt-PT", "name": "MÉDIA.SE.S" }, { "locale": "ro-RO", "name": "AVERAGEIFS" }, { "locale": "ru-RU", "name": "СРЗНАЧЕСЛИМН" }, { "locale": "sk-SK", "name": "AVERAGEIFS" }, { "locale": "sl-SI", "name": "AVERAGEIFS" }, { "locale": "sr-Latn-RS", "name": "AVERAGEIFS" }, { "locale": "sv-SE", "name": "MEDEL.OMF" }, { "locale": "th-TH", "name": "AVERAGEIFS" }, { "locale": "tr-TR", "name": "ÇOKEĞERORTALAMA işlevi" }, { "locale": "uk-UA", "name": "AVERAGEIFS" }, { "locale": "vi-VN", "name": "AVERAGEIFS" }, { "locale": "zh-CN", "name": "AVERAGEIFS" }, { "locale": "zh-HK", "name": "AVERAGEIFS" }, { "locale": "zh-TW", "name": "AVERAGEIFS" } ], "signature": { "display": "AVERAGEIFS(average_range, criteria_range1, criteria1, [criteria_range2], [criteria2], ...)", "parameters": [ { "description": null, "name": "average_range", "optional": false, "repeats": false }, { "description": null, "name": "criteria_range1", "optional": false, "repeats": false }, { "description": null, "name": "criteria1", "optional": false, "repeats": false }, { "description": null, "name": "criteria_range2", "optional": true, "repeats": false }, { "description": null, "name": "criteria2", "optional": true, "repeats": true } ], "trailing_repeats": true }, "surface_name": "AVERAGEIFS", "version_marker": null, "xlcall": { "code": "484", "symbol": "xlfAverageifs" } }, "microsoft": "https://support.microsoft.com/en-us/office/averageifs-function-48910c45-1fc0-4389-a028-f7c5c3001690" }, "try_it": { "formula": "=AVERAGEIFS(C2:C4,B2:B4,\">1\")", "inputs": { "B2": 1, "B3": 2, "B4": 3, "C2": 10, "C3": 20, "C4": 30 } }, "url": "https://handbook.dnacalc.com/functions/AVERAGEIFS.html", "variants": [], "versions": [] }