statistics
E431923
Statistics is a Python standard library module that provides functions for calculating mathematical statistics of numeric data, such as means, medians, and variance.
All labels observed (1)
| Label | Occurrences |
|---|---|
| statistics canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4325190 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: statistics Context triple: [Python standard library, includesModule, statistics]
-
A.
Statistics
Statistics is a Julia standard library module that provides basic statistical functions such as means, variances, and related summary measures for numerical data.
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B.
STAT
STAT is a U.S.-based media company and news site focused on in-depth coverage of health, medicine, and life sciences.
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C.
ISTIC
ISTIC is a member organization of the International DOI Foundation, contributing to the global management and implementation of Digital Object Identifiers.
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D.
Stat.
Stat. is the standard legal citation abbreviation for the United States Statutes at Large, the official chronological compilation of all federal laws and resolutions enacted by the U.S. Congress.
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E.
STA
STA is the vehicle registration code for the district of Starnberg in Bavaria, Germany.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: statistics Target entity description: Statistics is a Python standard library module that provides functions for calculating mathematical statistics of numeric data, such as means, medians, and variance.
-
A.
Statistics
Statistics is a Julia standard library module that provides basic statistical functions such as means, variances, and related summary measures for numerical data.
-
B.
STAT
STAT is a U.S.-based media company and news site focused on in-depth coverage of health, medicine, and life sciences.
-
C.
ISTIC
ISTIC is a member organization of the International DOI Foundation, contributing to the global management and implementation of Digital Object Identifiers.
-
D.
Stat.
Stat. is the standard legal citation abbreviation for the United States Statutes at Large, the official chronological compilation of all federal laws and resolutions enacted by the U.S. Congress.
-
E.
STA
STA is the vehicle registration code for the district of Starnberg in Bavaria, Germany.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf | Python standard library module ⓘ |
| category | mathematical statistics ⓘ |
| designGoal | simple statistical functions for Python ⓘ |
| documentationUrl | https://docs.python.org/3/library/statistics.html ⓘ |
| errorType | StatisticsError ⓘ |
| importSyntax | import statistics ⓘ |
| includedIn | CPython distribution ⓘ |
| introducedIn | Python 3.4 NERFINISHED ⓘ |
| license | Python Software Foundation License NERFINISHED ⓘ |
| maintainedBy | Python core developers ⓘ |
| moduleName | statistics ⓘ |
| partOf | Python standard library NERFINISHED ⓘ |
| programmingLanguage | Python ⓘ |
| providesClass | StatisticsError NERFINISHED ⓘ |
| providesFunction |
correlation
ⓘ
covariance ⓘ fmean ⓘ geometric_mean ⓘ harmonic_mean ⓘ linear_regression ⓘ mean ⓘ median ⓘ median_grouped ⓘ median_high ⓘ median_low ⓘ mode ⓘ multimode ⓘ pstdev ⓘ pvariance ⓘ quantiles ⓘ stdev ⓘ variance ⓘ |
| requires | numeric data ⓘ |
| stableApi | True ⓘ |
| supports |
decimal floating point with Decimal inputs
ⓘ
exact rational arithmetic with Fraction inputs ⓘ population statistics ⓘ sample statistics ⓘ single-pass mean calculation ⓘ |
| supportsDataType |
Decimal
ⓘ
Fraction ⓘ float ⓘ int ⓘ |
| supportsIterableInput | True ⓘ |
| useCase |
descriptive statistics
ⓘ
summary statistics of numeric data ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: statistics Description of subject: Statistics is a Python standard library module that provides functions for calculating mathematical statistics of numeric data, such as means, medians, and variance.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.