tidyverse
E435367
tidyverse is a collection of R packages designed for data science, emphasizing a consistent, human-readable grammar for data manipulation, visualization, and analysis.
All labels observed (1)
| Label | Occurrences |
|---|---|
| tidyverse canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4371862 — 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: tidyverse Context triple: [R, ecosystem, tidyverse]
-
A.
Seaborn
Seaborn is a Python data visualization library built on top of Matplotlib that provides a high-level interface for creating attractive and informative statistical graphics.
-
B.
RStudio
RStudio is an integrated development environment (IDE) for the R programming language, widely used for data analysis, visualization, and statistical computing.
-
C.
R Foundation for Statistical Computing
The R Foundation for Statistical Computing is a non-profit organization that supports the development, maintenance, and promotion of the R programming language and its ecosystem.
-
D.
Plotly
Plotly is an interactive, open-source graphing and data visualization library widely used in Python for creating rich, web-based charts and dashboards.
-
E.
Bioconductor
Bioconductor is an open-source project that provides R packages and tools for the analysis and comprehension of high-throughput genomic and biological data.
- 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: tidyverse Target entity description: tidyverse is a collection of R packages designed for data science, emphasizing a consistent, human-readable grammar for data manipulation, visualization, and analysis.
-
A.
Seaborn
Seaborn is a Python data visualization library built on top of Matplotlib that provides a high-level interface for creating attractive and informative statistical graphics.
-
B.
RStudio
RStudio is an integrated development environment (IDE) for the R programming language, widely used for data analysis, visualization, and statistical computing.
-
C.
R Foundation for Statistical Computing
The R Foundation for Statistical Computing is a non-profit organization that supports the development, maintenance, and promotion of the R programming language and its ecosystem.
-
D.
Plotly
Plotly is an interactive, open-source graphing and data visualization library widely used in Python for creating rich, web-based charts and dashboards.
-
E.
Bioconductor
Bioconductor is an open-source project that provides R packages and tools for the analysis and comprehension of high-throughput genomic and biological data.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
collection of R packages
ⓘ
open-source software ⓘ software ecosystem ⓘ |
| corePackage |
dplyr
NERFINISHED
ⓘ
forcats NERFINISHED ⓘ ggplot2 NERFINISHED ⓘ purrr ⓘ readr ⓘ stringr ⓘ tibble ⓘ tidyr NERFINISHED ⓘ |
| creator | Hadley Wickham NERFINISHED ⓘ |
| designedFor |
data analysis
ⓘ
data manipulation ⓘ data science ⓘ data visualization ⓘ |
| documentation | https://www.tidyverse.org ⓘ |
| emphasizes |
consistent grammar for data manipulation
ⓘ
human-readable code ⓘ pipe-based workflows ⓘ |
| hasConcept |
declarative graphics with ggplot2
ⓘ
functional programming with purrr ⓘ grammar of data manipulation ⓘ tidy data ⓘ |
| includesPackage |
broom
ⓘ
dbplyr NERFINISHED ⓘ haven ⓘ hms ⓘ httr NERFINISHED ⓘ lubridate NERFINISHED ⓘ magrittr NERFINISHED ⓘ modelr NERFINISHED ⓘ readxl ⓘ reprex ⓘ rvest ⓘ xml2 ⓘ |
| installCommand | install.packages("tidyverse") ⓘ |
| introduced | around 2016 ⓘ |
| license | MIT License ⓘ |
| maintainer |
Posit PBC
NERFINISHED
ⓘ
RStudio NERFINISHED ⓘ |
| programmingLanguage | R NERFINISHED ⓘ |
| repository | https://github.com/tidyverse/tidyverse ⓘ |
| typicalWorkflowStep |
communicate results
ⓘ
import data ⓘ model data ⓘ tidy data ⓘ transform data ⓘ visualize data ⓘ |
| uses | pipe operator %>% from magrittr ⓘ |
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: tidyverse Description of subject: tidyverse is a collection of R packages designed for data science, emphasizing a consistent, human-readable grammar for data manipulation, visualization, and analysis.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.