ggplot2
E436330
ggplot2 is a widely used R package for creating elegant, layered, and highly customizable data visualizations based on the Grammar of Graphics.
All labels observed (1)
| Label | Occurrences |
|---|---|
| ggplot2 canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T4371835 — 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: ggplot2 Context triple: [R, hasPackage, ggplot2]
-
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.
Plotly
Plotly is an interactive, open-source graphing and data visualization library widely used in Python for creating rich, web-based charts and dashboards.
-
C.
pgfplots
pgfplots is a LaTeX package for creating high-quality plots and graphs based on the PGF/TikZ drawing framework.
-
D.
PowerChart
PowerChart is Cerner's flagship electronic health record (EHR) solution used by healthcare providers to document, manage, and access patient clinical information.
-
E.
Agg
Agg is a high-quality, anti-aliased 2D graphics rendering engine commonly used as a backend in plotting and visualization libraries.
- 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: ggplot2 Target entity description: ggplot2 is a widely used R package for creating elegant, layered, and highly customizable data visualizations based on the Grammar of Graphics.
-
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.
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.
-
C.
Plotly
Plotly is an interactive, open-source graphing and data visualization library widely used in Python for creating rich, web-based charts and dashboards.
-
D.
pgfplots
pgfplots is a LaTeX package for creating high-quality plots and graphs based on the PGF/TikZ drawing framework.
-
E.
PowerChart
PowerChart is Cerner's flagship electronic health record (EHR) solution used by healthcare providers to document, manage, and access patient clinical information.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
R package
ⓘ
data visualization library ⓘ free and open-source software ⓘ |
| basedOn | Grammar of Graphics ⓘ |
| compatibleWith |
R Markdown
ⓘ
Shiny ⓘ dplyr ⓘ tidyr ⓘ |
| creator | Hadley Wickham ⓘ |
| designedFor |
declarative specification of plots
ⓘ
highly customizable visualizations ⓘ layered construction of graphics ⓘ |
| hasExtensionEcosystem | yes ⓘ |
| implements | layered grammar of graphics ⓘ |
| introducedConcept |
facets
ⓘ
geoms ⓘ scales ⓘ stats ⓘ themes ⓘ |
| license | MIT License ⓘ |
| maintainer |
Hadley Wickham
ⓘ
Posit PBC ⓘ |
| partOf | tidyverse ⓘ |
| programmingLanguage | R ⓘ |
| repository | https://github.com/tidyverse/ggplot2 ⓘ |
| supports |
aesthetic mappings
ⓘ
bar charts ⓘ boxplots ⓘ coordinate transformations ⓘ density plots ⓘ faceting ⓘ histograms ⓘ line plots ⓘ scatter plots ⓘ statistical transformations ⓘ themes ⓘ |
| typicalFunction |
aes
ⓘ
facet_grid ⓘ facet_wrap ⓘ geom_bar ⓘ geom_boxplot ⓘ geom_histogram ⓘ geom_line ⓘ geom_point ⓘ ggplot ⓘ labs ⓘ scale_x_continuous ⓘ scale_y_continuous ⓘ theme ⓘ |
| uses | data frames as primary data structure ⓘ |
| writtenIn | R ⓘ |
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: ggplot2 Description of subject: ggplot2 is a widely used R package for creating elegant, layered, and highly customizable data visualizations based on the Grammar of Graphics.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.