gptkbp:instanceOf
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gptkb:software
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gptkbp:author
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gptkb:Michael_Waskom
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gptkbp:builtOnTopOf
|
gptkb:matplotlib
|
gptkbp:citation
|
Waskom, M. L. (2021). seaborn: statistical data visualization. Journal of Open Source Software, 6(60), 3021.
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gptkbp:documentation
|
https://seaborn.pydata.org/
|
gptkbp:firstReleased
|
2014
|
https://www.w3.org/2000/01/rdf-schema#label
|
seaborn
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gptkbp:integratesWith
|
gptkb:NumPy
gptkb:SciPy
gptkb:pandas
|
gptkbp:latestReleaseVersion
|
0.12.2
2023-01-20
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gptkbp:license
|
gptkb:BSD_License
|
gptkbp:partOf
|
gptkb:PyData_ecosystem
|
gptkbp:pipInstallCommand
|
pip install seaborn
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gptkbp:programmingLanguage
|
gptkb:Python
|
gptkbp:provides
|
high-level interface for drawing attractive statistical graphics
|
gptkbp:repository
|
https://github.com/mwaskom/seaborn
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gptkbp:supports
|
heatmaps
categorical plots
regression plots
scatter plots
histograms
line plots
box plots
violin plots
bar plots
pair plots
|
gptkbp:usedFor
|
gptkb:data_visualization
statistical graphics
|
gptkbp:website
|
https://seaborn.pydata.org/
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gptkbp:bfsParent
|
gptkb:IPython_Notebook
gptkb:Python_(with_statistical_libraries)
gptkb:Python_(statsmodels)
gptkb:pandas_(software)
gptkb:Colorbar
|
gptkbp:bfsLayer
|
7
|