tidyr
E436332
tidyr is an R package that provides tools for reshaping and organizing data into tidy formats to facilitate analysis and visualization.
All labels observed (1)
| Label | Occurrences |
|---|---|
| tidyr canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T4371837 — 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: tidyr Context triple: [R, hasPackage, tidyr]
-
A.
pandas
pandas is a popular open-source Python library that provides powerful, easy-to-use data structures and tools for data analysis and manipulation.
-
B.
Tabularium
The Tabularium was the official records office of ancient Rome, a monumental state archive building overlooking the Roman Forum.
-
C.
Power Query
Power Query is a data connection and transformation tool used to import, clean, and reshape data from various sources before analysis in Microsoft Power BI and other Microsoft products.
-
D.
Quinta Normal
Quinta Normal is a commune in Santiago, Chile, known for its urban residential character and proximity to the historic Quinta Normal Park and several cultural institutions.
-
E.
ColumnTransformer
ColumnTransformer is a scikit-learn utility that applies different preprocessing or transformation pipelines to specified columns of a dataset within a single unified estimator.
- 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: tidyr Target entity description: tidyr is an R package that provides tools for reshaping and organizing data into tidy formats to facilitate analysis and visualization.
-
A.
tidyverse
tidyverse is a collection of R packages designed for data science, emphasizing a consistent, human-readable grammar for data manipulation, visualization, and analysis.
-
B.
pandas
pandas is a popular open-source Python library that provides powerful, easy-to-use data structures and tools for data analysis and manipulation.
-
C.
Tabularium
The Tabularium was the official records office of ancient Rome, a monumental state archive building overlooking the Roman Forum.
-
D.
Power Query
Power Query is a data connection and transformation tool used to import, clean, and reshape data from various sources before analysis in Microsoft Power BI and other Microsoft products.
-
E.
Quinta Normal
Quinta Normal is a commune in Santiago, Chile, known for its urban residential character and proximity to the historic Quinta Normal Park and several cultural institutions.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
R package
ⓘ
software library ⓘ |
| basedOnConcept | tidy data principles ⓘ |
| compatibleWith |
dplyr
ⓘ
ggplot2 ⓘ readr ⓘ |
| coreConcept |
each observation forms a row
ⓘ
each type of observational unit forms a table ⓘ each variable forms a column ⓘ |
| cranPackageUrl | https://CRAN.R-project.org/package=tidyr ⓘ |
| designGoal |
make messy data tidy
ⓘ
provide a consistent grammar for data tidying ⓘ |
| developer |
Hadley Wickham
ⓘ
RStudio ⓘ |
| ecosystem | R tidyverse ecosystem ⓘ |
| firstReleaseApproxYear | 2014 ⓘ |
| license | MIT License ⓘ |
| maintainer | Hadley Wickham ⓘ |
| outputFormat | tibble ⓘ |
| partOf | tidyverse ⓘ |
| programmingLanguage | R ⓘ |
| providesFunction |
complete
ⓘ
drop_na ⓘ expand ⓘ fill ⓘ gather ⓘ nest ⓘ pivot_longer ⓘ pivot_wider ⓘ replace_na ⓘ separate ⓘ spread ⓘ unite ⓘ unnest ⓘ |
| purpose |
data organization
ⓘ
data reshaping ⓘ data tidying ⓘ |
| repository | https://github.com/tidyverse/tidyr ⓘ |
| supportsTask |
data cleaning
ⓘ
data preprocessing ⓘ data transformation ⓘ data wrangling ⓘ preparation for data visualization ⓘ preparation for statistical analysis ⓘ |
| typicalInput |
data.frame
ⓘ
tibble ⓘ |
| usedFor |
combining columns
ⓘ
reshaping long data to wide format ⓘ reshaping wide data to long format ⓘ splitting columns ⓘ |
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: tidyr Description of subject: tidyr is an R package that provides tools for reshaping and organizing data into tidy formats to facilitate analysis and visualization.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.