Giter Site home page Giter Site logo

awesome-ggplot2's Introduction

Awesome ggplot2 Awesome

General

Persons (Webpage + Mastodon)

R packages

Plot layers

  • {biscale}: Bivariate Mapping with ggplot2
  • {calendR}: Fully customizable ready to print monthly and yearly calendars made with ggplot2
  • {complex-upset}: A library for creating complex UpSet plots with ggplot2 geoms
  • {corrmorant}: R package for flexible correlation matrices based on ggplot2
  • {dbplot}: Simplifies plotting of database and sparklyr data
  • {deeptime}: Plotting Tools for Anyone Working in Deep Time
  • {directlabels}: Direct labels for multicolor plots in lattice or ggplot2
  • {donutsk}: Construct Advanced Donut Charts
  • {easyalluvial}: Create alluvial plots with a single line of code
  • {econocharts}: Economics charts in R using ggplot2
  • {effectclass}: Display uncertainty and effect classification with ggplot2 or plotly
  • {ezplot}: Functions for Common Chart Types
  • {ganttrify}: Create beautiful Gantt charts with ggplot2
  • {geomtextpath}: Create curved text paths in ggplot2
  • {ggalignment}: R package for creating D&D alignment charts
  • {ggalluvial}: ggplot2 extension for alluvial plots
  • {ggalt}: Extra Coordinate Systems, Geoms, Statistical Transformations & Scales for 'ggplot2'
  • {ggambit}: Visualise FEN chess positions with ggplot2
  • {gganatogram}: Create anatograms using ggplot2
  • {ggarchery}: Flexible segment geoms with arrows for ggplot2
  • {ggarrow}: ggplot2 extension: more options for drawing arrows
  • {ggasym}: Plots three different color schemes on the top-left and bottom-right triangles and the diagonal of a symmetric matrix
  • {ggbeeswarm}: Column scatter / beeswarm-style plots in ggplot2
  • {ggblanket}: Simplify ggplot2 visualisation
  • {ggblend}: Support for blend modes in ggplot2
  • {ggblur}: Blurry Point Geom for ggplot2
  • {ggborderline}: Provides a set of geoms to make line plots a little bit nicer
  • {ggbrace}: Curly Braces for 'ggplot2'
  • {ggbraid}: Braid two lines and a ribbon in ggplot2
  • {ggbrain}: R package for creating plots of brains using ggplot
  • {ggbrick}: A brick like geom for ggplot2
  • {ggbump}: A geom for ggplot to create bump plots
  • {ggcalendar}: x and y position as days in month
  • {ggcats}: The geom you always wished for adding cats to ggplot2
  • {ggchicklet}: Create Chicklet (Rounded Segmented Column) Charts
  • {ggcleveland}: Implementation of plots from Cleveland's Visualizing Data book in ggplot2
  • {ggconsort}: An R package for creating CONSORT diagrams with ggplot
  • {ggcorrplot}: Visualization of a correlation matrix using ggplot2
  • {ggcorr}: Correlation matrixes with ggplot2
  • {ggcorset}: Introducing corset plots
  • {ggpcp}: Parallel Coordinate Plots in the 'ggplot2' Framework
  • {ggdemetra}: ggplot2 extension for seasonal and trading day adjustment with RJDemetra
  • {ggdensity}: An R package for interpretable visualizations of density estimates
  • {ggeconodist}: Create Diminutive Distribution Charts
  • {ggdag}: An R Package for visualizing and analyzing causal directed acyclic graphs
  • {ggdirectlabel}: Make it easier to directly label ggplot2 charts
  • {ggdist}: Visualizations of distributions and uncertainty
  • {ggDoubleHeat}: A heatmap-like visualization tool
  • {ggExtra}: Add marginal histograms to ggplot2, and more ggplot2 enhancements
  • {ggfacto}: Graphs for correspondence analysis
  • {ggflowchart}: R package for producing flowcharts using ggplot2
  • {ggfreehand}: Add freehand circles to ggplot2 graphs
  • {ggfun}: Miscellaneous Functions for 'ggplot2'
  • {gggenes}: Draw gene arrow maps in ggplot2
  • {gggenomes}: A grammar of graphics for comparative genomics
  • {gggibbous}: Moon charts, a pie chart alternative, for ggplot2
  • {gghalves}: Easy half-half geoms in ggplot2
  • {gghdr}: Plots of highest density regions (HDR) for ggplot2
  • {gghilbertstrings}: Create Hilbert curves in ggplot2
  • {ggHoriPlot}: build horizon plots in ggplot2
  • {ggimg}: Graphics Layers for Plotting Image Data with ggplot2
  • {ggkeyboard}: Make a keyboard using ggplot2
  • {ggmacc}: R package repository for building marginal abatement cost curves with ggplot2
  • {ggmosaic}: Mosaicplots in the ggplot2 framework
  • {ggmsa}: a visual exploration tool for multiple sequence alignment and associated data
  • {ggmulti}: Package for adding some multivariate visualizations to ggplot2
  • {ggnormalviolin}: Makes normal violin plots with specified means and standard deviations
  • {ggonion}: R package for drawing onion diagrams via ggplot2
  • {ggordiplots}: Make ggplot Versions of Vegan's Ordiplots
  • {ggpackets}: Cleaner composition of ggplot layers
  • {ggparliament}: Simple parliament plots using ggplot2
  • {ggpercentogram}: Create equal-area histograms with 'ggplot2'
  • {ggpie}: Create pie charts using ggplot2
  • {ggPlantmap}: Generate ggplot maps from plant images
  • {ggplateplot}: make plots resembling cell culture microwell plates
  • {ggpointdensity}: A Cross Between a Scatter Plot and a 2D Density Plot
  • {ggpointgrid}: Rearrange scatter plot points on a regular grid
  • {ggpointless}: A point layer to emphasize some observations
  • {ggpolar}: Dots and Their Connections in Polar Coordinate System
  • {ggsankeyfier}: Create Sankey and Alluvial Diagrams Using ggplot2
  • {ggsector}: Use R language to draw sector
  • {ggseqlogo}: Generating publication-ready sequence logos in R using ggseqlogo
  • {ggshadow}: Shadow Geoms for ggplot2
  • {ggshakeR}: An analysis and visualization R package that works with publicly available soccer data
  • {ggsoccer}: Plot soccer event data in R/ggplot2
  • {ggspectra}: Plotting spectra with ggplot2
  • {ggstamp}: stamp_* as an API for annotation layers
  • {ggstance}: Horizontal ggplot2 components
  • {ggpage}: Creates Page Layout Visualizations in R
  • {ggparallel}: R package for creating hammock plots and parallel sets plots using the ggplot2 framework
  • {ggperiodic}: Easy plotting of periodic data with ggplot2
  • {ggplate}: Create Layout Plots of Biological Culture Plates and Microplates
  • {ggpol}: Parliament diagrams and more for ggplot2
  • {ggpolypath}: Polygons with holes for ggplot2
  • {ggpp}: Grammar of graphics extensions to 'ggplot2'
  • {ggpubr}: 'ggplot2' Based Publication Ready Plots
  • {ggquiver}: R package for quiver plots in 'ggplot2'
  • {ggqr}: ggplot2 geom for QR codes
  • {ggradar}: radar charts with ggplot2
  • {ggrain}: Make beautiful Raincloud plots in R
  • {ggraph}: A grammar of graphics for relational data
  • {ggrastr}: Raster geoms for ggplot2
  • {ggrepel}: Repel overlapping text labels away from each other
  • {ggreverse}: Reverse a ggplot object back into code
  • {ggrgl}: 3D Graphics Using the Grammar of Graphics
  • {ggridges}: Ridgeline plots in ggplot2
  • {ggrounded}: Rounded Bar Plots
  • {ggsankey}: The goal of ggsankey is to make beautiful sankey, alluvial and sankey bump plots in ggplot2
  • {ggsc}: Visualizing single cell data
  • {ggScatRidges}: Scatter Plot Combined with Ridgelines in 'ggplot2'
  • {ggscidca}: Plotting Decision Curve Analysis with Coloured Bars
  • {ggseqplot}: Render Sequence Plots using 'ggplot2'
  • {ggside}: ggplot2 extension allowing for plotting various geometries as side panels
  • {ggsignif}: Easily add significance brackets to your ggplots
  • {ggsolar}: Generate "solar system" plots with {ggplot2}
  • {ggstraw}: geom_straw for ggplot2
  • {ggstream}: A package to make streamplots
  • {ggsvg}: Use SVG images as ggplot points
  • {ggtda}: ggplot2 extension to visualize persistent homology
  • {ggtern}: An extension to ggplot2, for the creation of ternary diagrams
  • {ggtikz}: Add TikZ annotations with absolute data or relative plot coordinates to ggplots
  • {ggTimeSeries}: Time series visualisation
  • {ggthreed}: 3d geoms and stats for ggplot
  • {ggtree}: Visualization and annotation of phylogenetic trees
  • {ggtrendline}: An R Package for Adding Trendline and Confidence Interval to "ggplot"
  • {ggtricks}: Create Sector and Other Charts Easily Using Grammar of Graphics
  • {ggvenn}: Venn Diagram by ggplot2, with really easy-to-use API
  • {ggVennDiagram}: A 'ggplot2' implement of Venn Diagram
  • {ggvoronoi}: Easy Voronoi diagram heatmaps with ggplot2
  • {ggvwline}: Layer functions for drawing variable-width curves
  • {ggwaffle}: Creating waffle charts in a ggplot friendly way
  • {ggweekly}: Easy, printable, custom calendars and week planners
  • {ggwordcloud}: A word cloud geom for ggplot2
  • {ggxmean}: Put a vertical line at the mean of x w/ geom_xmean() and do other stuff
  • {jjPlot}: funny geom/stat functions for visualization
  • {likert}: Analysis and Visualization Likert Items
  • {linkET}: Toolbox for heatmap and mantel test plot.
  • {parttree}: Simple package for plotting decision tree partitions in R
  • {patternplot}: Versatile Pie Charts, Ring Charts, Bar Charts and Box Plots using Patterns, Colors and Images
  • {plotcli}: Convert ggplot2 objects to colored terminal plots
  • {scattermore}: very fast scatterplots for R
  • {see}: Visualisation toolbox for beautiful and publication-ready figures
  • {shadowtext}: shadow text for grid and ggplot2
  • {smplot2}: Create and annotate composite plots in R and ggplot2
  • {superheat}: An R package for generating beautiful and customizable heatmaps
  • {swimplot}: Tools for Creating Swimmers Plots using 'ggplot2'
  • {treemapify}: Draw treemaps in ggplot2
  • {visdat}: Preliminary Exploratory Visualisation of Data
  • {vistime}: Pretty timelines in R
  • {waffle}: Make waffle (square pie) charts in R
  • {waterfalls}: R package to create waterfall charts
  • {WVPlots}: Pre-packaged plots in R

Themes and aesthetics

  • {add2ggplot}: Add more themes for your ggplot object
  • {bbplot}: R package that helps create and export ggplot2 charts in the style used by the BBC News data team
  • {ButterflyColors}: Color palette for data visualization based on butterfly species
  • {colorBlindnessSafe}: Color Set for Color Blindness
  • {cols4all}: Colors for all (R package)
  • {cyberpunk}: A function to create cyberpunk-style graphs with R based on ggplot2
  • {darknerdthemes}: Dark ggplots themes for nerds
  • {DOYPAColors}: Don't Overthink Your Palette of Colors
  • {duke}: Creating a Color-Blind Friendly Duke Color Package
  • {dutchmasters}: R package with colour palettes derived from famous paintings by 17th century Dutch masers
  • {ggdc}: Datacamp Themes for ggplot2
  • {ggcharts}: Get You to Your Desired Plot Faster
  • {ggcute}: Cute things for ggplot2
  • {ggdark}: Dark mode for ggplot2 themes
  • {ggDracula}: Dracula for ggplot2
  • {ggchromatic}: Colour and fill scales for 'ggplot2' using colour spaces
  • {ggCyberPunk}: Working on creating a similar cyberpunk geom for ggplot
  • {ggeasy}: Easy Access to 'ggplot2' Commands
  • {ggedit}: Interactively edit ggplot layer aesthetics and theme definitions
  • {ggfittext}: ggplot2 geoms to fit text into boxes
  • {ggfx}: ggfx is a (currently experimantal) package that allows the use of various filters and shaders on ggplot2 layers
  • {ggGenshin}: a collection of Genshin-styled color schemes
  • {gghdx}: HDX Theme, Scales, and Other Conveniences for 'ggplot2'
  • {gglaplot}: Makes graphics in the GLA style using ggplot2
  • {gglgbtq}: Provides multiple palettes based on pride flags with tailored themes
  • {ggnewscale}: Multiple Fill and Color Scales in 'ggplot2'
  • {ggnuplot}: Make your ggplots look like gnuplots
  • {ggokabeito}: Colorblind-friendly, qualitative Okabe-Ito Scales for ggplot2 and ggraph
  • {ggpomological}: Pomological plot theme for ggplot2
  • {ggprism}: ggplot2 extension inspired by GraphPad Prism
  • {ggrough}: Convert ggplot2 chart to roughjs
  • {ggRtsy}: Add Some Van Gogh Colors and Overlay Colors on Your 'ggplot()'
  • {ggsci}: Scientific journal and sci-fi themed color palettes for ggplot2
  • {ggseg}: Plotting tool for brain atlases, in ggplot
  • {ggstar}: Star layer for ggplot2
  • {ggtea}: Palettes and Themes for 'ggplot2'
  • {ggtech}: ggplot2 tech themes, scales, and geoms
  • {ggtext}: Improved text rendering support for ggplot2
  • {ggtextures}: Drawing textured rectangles and bars with ggplot
  • {ggthemes}: Additional themes, scales, and geoms for ggplot2
  • {ggthemeUL}: A 'ggplot' Theme for University of Ljubljana
  • {ggthemr}: Themes for ggplot2
  • {ggx}: Translate natural language commands into ggplot commands
  • {harrypotter}: Harry Potter inspired palette for R
  • {hrbrthemes}: Opinionated, typographic-centric ggplot2 themes and theme components
  • {INBOtheme}: Corporate identity theme for the Research Institute for Nature and Forest (INBO)
  • {jcolors}: Colors Palettes for R and 'ggplot2', Additional Themes for 'ggplot2'
  • {LaCroixColoR}: LaCroix Color Palettes for R
  • (lemon): Freshing up your ggplots
  • {mdthemes}: Markdown Themes for 'ggplot2'
  • {MexBrewer}: Color Palettes Inspired by Works Mexican Muralists
  • {MoMAColors}: Color Schemes based around artwork and the Museum of Modern Art
  • {monochromeR}: A package for creating monochrome colour palettes and easily converting rgba values to hex codes
  • {NatParksPalettes}: Color palette package inspired by National Parks
  • {nord}: Northern-themed Color palettes
  • {onsvplot}: National Road Safety Observatory (ONSV) Style for 'ggplot2' Graphics
  • {paletteer}: Collection of most color palettes in a single R package
  • {pilot}: A minimal ggplot2 theme with an accessible discrete color palette
  • {peRReo}: R color palettes inspired by reggaeton and latin albums
  • {PrettyCols}: R package containing pretty colour palettes.
  • {rcartocolor}: Implementation of the CARTOcolor palettes in R
  • {rockthemes}: R colour palettes based on classic rock albums and some other ones
  • {savonliquide}: Check for Color Contrast Accessibility in R
  • {scico}: Palettes for R based on the Scientific Colour-Maps
  • {soilpalettes}: R color palettes inspired by soil profiles
  • {stevethemes}: Steve’s ggplot2 Themes and Related Theme Elements
  • {tgamtheme}: Globe and Mail Graphics Theme for 'ggplot2'
  • {thematic}: Unified and automatic theming of ggplot2, lattice, and base R graphics
  • {ThemePark}: Fun ggplot themes for popular culture
  • {tinythemes}: Lightweight Repackaging of 'Themes' for 'ggplot2'
  • {trekcolors}: Strak Trek color palettes
  • {tvthemes}: ggplot2 themes and palettes based on your favorite TV shows
  • {unhcrthemes}: UNHCR branded theme for ggplot2 and data visualization colour palettes
  • {unicol}: The colors of your university
  • {urbnthemes}: Urban Institute's ggplot2 theme and tools
  • {viridis}: Colorblind-Friendly Color Maps for R
  • {wesanderson}: A Wes Anderson color palette for R
  • {wsjplot}: Style Time Series Plots Like the Wall Street Journal

Presentation, composition and scales

  • {aplot}: Decorate a plot with associated information
  • {camcorder}: Record plots generated during an R session and replay as a gif!
  • {cowplot}: Streamlined Plot Theme and Plot Annotations for ggplot2
  • {deeptime}: Plotting Tools for Anyone Working in Deep Time
  • {egg}: (fragile) extensions for ggplot2
  • {facetious}: Home to some alternate facetting for ggplot2
  • {facetscales}: facet_grid with different scales per facet
  • {figpatch}: Easily Arrange Images with Patchwork Alongside ggplot2 Figures
  • {geofacet}: R package for geographical faceting with ggplot2
  • {gganimate}: A Grammar of Animated Graphics
  • {ggannotate}: Interactively annotate ggplots
  • {ggbillboard}: A package to fill vacant ggplot2 facets with images
  • {ggbreak}: Set Axis Break for 'ggplot2'
  • {ggcolormeter}: A ggplot2 color/fill legend guide extension in the style of a dashboard meter
  • {ggfocus}: A 'ggplot2' extension that provides tools for automatically creating scales to focus on subgroups
  • {ggforce}: Accelerating ggplot2
  • {ggformula}: Provides a formula interface to 'ggplot2' graphics
  • {gggrid}: Accessing 'grid' from 'ggplot2'
  • {ggh4x}: ggplot extension: options for tailored facets, multiple colourscales and miscellaneous
  • {gghighlight}: Highlight points and lines in ggplot2
  • {gglabeller}: Shiny gadget for labeling points on ggplot
  • {ggmagnify}: Create a magnified inset of part of a ggplot object
  • {ggNestedBarChart}: An easier way to create nested, grouped, heirarchical bar charts with ggplot2
  • {ggplotify}: Convert plot to grob and ggplot object
  • {ggProfessional}: Manage ggplot themes, colors, logos and exporting
  • {ggragged}: Ragged Grids for ggplot2
  • {ggtibble}: Create tibbles and lists of ggplot figures that can be modified as easily as regular ggplot figures
  • {ggtrace}: Programmatically inspect, debug, and manipulate ggproto methods
  • {ggtrack}: Add tracking banner to plots
  • {gguidance}: additional guides to the ggplot2 ecosystem
  • {ggupset}: Combination matrix axis for 'ggplot2' to create 'UpSet' plots
  • {ggview}: Ggplot picture previewer
  • {gtable}: The layout packages that powers ggplot2
  • {jjAnno}: An annotation package for ggplot plot
  • {patchwork}: The Composer of ggplots
  • {relayer}: Rethinking layers in ggplot2
  • {scales}: Tools for ggplot2 scales
  • {showtext}: Using Fonts More Easily in R Graphs
  • {tagger}: Add tags to ggplot2 facets

Interactive

  • {ggiraph}: Make 'ggplot' Graphics Interactive
  • {ggtips}: Adds interactive tooltip boxes to ggplots (standalone or rendered in Shiny)
  • {plotly}: An interactive graphing library for R

Network

  • {geomnet}: Network visualization in the ggplot2 framework
  • {ggnet}: Network visualization with ggplot2
  • {ggnetwork}: Geoms to plot networks with ggplot2
  • {graphlayouts}: New layout algorithms for network visualizations in R
  • {qgraph}: Graph Plotting Methods, Psychometric Data Visualization and Graphical Model Estimation

Spatial

  • {bertin}: Transform choropleth maps into valued points
  • {eumaps}: An R package that provides easy-to-use tools for making professional-quality choropleth maps of the European Union (EU)
  • {ggautomap}: Create ggplot maps from a column of place names
  • {ggcounty}: Generate ggplot2 geom_map county maps
  • {ggfields}: Add vector fields layers to ggplots
  • {ggmap}: A package for plotting maps in R with ggplot2
  • {ggmapinset}: Add zoomed inset panels to your ggplot maps
  • {ggOceanMaps}: Plot oceanographic research data on maps using ggplot2
  • {ggredist}: Scales, Geometries, and Extensions of 'ggplot2' for Election Mapping
  • {ggsflabel}: Labels for 'sf' with 'ggplot2'
  • {ggsn}: R package to add north symbols and scale bars to maps created with ggplot or ggmap
  • {ggspatial}: Enhancing spatial visualization in ggplot2
  • {ggswissmaps}: Offers Various Swiss Maps as Data Frames and 'ggplot2' Objects
  • {layer}: Create stacked tilted maps
  • {mapSpain}: Administrative Boundaries of Spain
  • {metR}: Tools for Easier Analysis of Meteorological Fields
  • {mxmaps}: An R package for making maps of Mexico
  • {ozmaps}: Australian maps
  • {plotDK}: Plot Summary Statistics as Choropleth Maps of Danish Administrative Areas
  • {rayshader}: R Package for 2D and 3D mapping and data visualization
  • {starBliss}: Create beautiful, print quality maps of the night sky in R
  • {stars}: Spatiotemporal Arrays, Raster and Vector Data Cubes
  • {sugarbag}: An R package to create tessellated hexagon maps of Australia
  • {tidyterra}: tidyverse and ggplot2 methods for terra spatial objects
  • {urbnmapr}: US state and county maps with Alaska and Hawaii

Icons, patterns and images

  • {cropcircles}: Crop an image into a circle with a transparent background
  • {emoGG}: Emoji in ggplot2
  • {ggflags}: A flag geom for ggplot2
  • {ggimage}: Use Images in ggplot2
  • {ggpath}: Robust Image Rendering Support for 'ggplot2'
  • {ggpattern}: ggplot geoms with pattern fills
  • {mlbplotR}: R package to easily plot MLB logos

Data and models

  • {edgebundle}: R package implementing edge bundling algorithms
  • {distributional}: Vectorised distributions for R
  • {FunnelPlotR}: Funnel plots for comparing institutional performance, with overdispersion adjustment
  • {gaussplotR}: Fit, predict, and plot 2D Gaussians
  • {GGally}: R package that extends ggplot2
  • {ggbiplot}: A ggplot2 based biplot for principal components-like methods
  • {ggcoverage}: Visualize and annotate genomic coverage with ggplot2
  • {ggdendro}: Tools to extract dendrogram plot data for use with 'ggplot2'
  • {ggDoE}: Modern Graphs for Design of Experiments with ggplot2
  • {ggeffects}: Tidy Data Frames of Marginal Effects for ggplot2
  • {ggESDA}: An R package for Exploratory Symbolic Data Analysis using ggplot2
  • {ggfixest}: Dedicated ggplot2 methods for fixest model objects
  • {ggfortify}: Define fortify and autoplot functions to allow ggplot2 to handle some popular R packages
  • {gginnards}: R package extending 'ggplot2' with manipulation and debugging tools
  • {ggip}: R package to visualize IP data
  • {ggisotonic}: Add isotonic or monotonic regression curves to ggplots
  • {ggkegg}: Analyzing and visualizing KEGG information using the grammar of graphics
  • {gglm}: Grammar of Graphics for Linear Model Diagnostic Plots
  • {gglorenz}: Plotting Lorenz curves with the blessing of ggplot2
  • {ggmice}: Visualize incomplete and imputed data
  • {ggols}: visual expositions of simpler linear models
  • {ggparty}: ggplot2 visualizations for the partykit package
  • {ggpmisc}: R package ggpmisc is an extension to ggplot2 and the Grammar of Graphics
  • {ggpval}: Add statistical test or annotation to your ggplot2 plots
  • {ggstats}: Extension to ggplot2 for plotting stats
  • {grafify}: Easy Graphs for Data Visualisation and Linear Models for ANOVA
  • {gratia}: ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
  • {ggpicrust2}: Make Picrust2 Output Analysis and Visualization Easier
  • {ggQQunif}: QQ plots for big collections of p-values
  • {ggRandomForest}: Graphical analysis of random forests with the randomForestSRC, randomForest and ggplot2 packages
  • {ggResidpanel}: An R package for creating a panel of diagnostic plots for residuals from a model
  • {ggseas}: seasonal adjustment on the fly extension for ggplot2
  • {ggstatsplot}: Enhancing 'ggplot2' plots with statistical analysis
  • {ggsurvfit}: Easy and Flexible Time-To-Event Figures
  • {halfmoon}: Techniques to Build Better Balance in Propensity Score Models
  • {interactions}: A comprehensive, user-friendly toolkit for visualizing and analyzing statistical interactions
  • {jskm}: R package for Kaplan-Meier Plot
  • {jtools}: Tools for summarizing/visualizing regressions and other helpful stuff
  • {KMunicate}: Create KMunicate-Style Plots
  • {lindia}: Extension package of linear regression diagonostic plots in ggplot2
  • {metrica}: Prediction Performance Metrics
  • {mlr3viz}: Visualizations for mlr3
  • {moderndive}: R package for tidyverse-friendly introductory linear regression
  • {naniar}: Tidy data structures, summaries, and visualisations for missing data
  • {performance}: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
  • {plotROC}: Interactive ROC plots with ggplot + d3.js
  • {ppsr}: R implementation of Predictive Power Score
  • {prettyglm}: An R package to visualise glm coefficients
  • {SBC}: Simulation-based Calibration
  • {sjPlot}: Data Visualization for Statistics in Social Science
  • {starbility}: Coefficient stability plots under combinations of controls
  • {superb}: Summary plots with adjusted error bars
  • {survminer}: Survival Analysis and Visualization
  • {tidybayes}: Bayesian analysis + tidy data + geoms
  • {treeheatr}: Heatmap-integrated Decision Tree Visualizations
  • {visR}: A package to wrap functionality for plots, tables and diagrams adhering to graphical principles

Python packages

  • {plotnine}: Python implementation of ggplot2 using matplotlib backend
  • {patchworklib}: The Composer of plotnine ggplots
  • {plotnine3d}: 3D Graphics using the grammar of graphics
  • {adjustText}: ggrepel-inspired label placement for matplotlib (integrated with plotnine)

Books

Book chapters

Online Courses

Galleries

Text tutorials

Video tutorials

TidyTuesday

Miscellaneous

awesome-ggplot2's People

Contributors

alexhallam avatar arianacabral avatar erikgahner avatar hy4m avatar jcubic avatar krassowski avatar r-coderdotcom avatar santiagovalenzuela avatar straubinger avatar thierryo avatar z3tt avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

awesome-ggplot2's Issues

Add all ggplot2 authors in "Persons" section?

Hi,

First of all, this is a great resource! Thanks so much for pulling it together.

It might be the case that the Persons (+ Twitter) section is meant to reflect people who are on twitter, and very knowledgeable about ggplot2, but I thought it might be worth including the authors and maintainers of the package as well (listed here).

I don't know Kohske Takahashi's Twitter handle, but as for the authors others who aren't on the list:

As of the next release, Dewey Dunnington will also be listed as an author (already listed on the ggplot2 dev-version site)! His twitter handle is @paleolimbot.

I'd be happy to submit a PR, if you'd like!

More awesome packages

Thanks for this repository. I was planning to create one but thankfully I searched before. Few packages that are useful (and seem popular) but do not currently exist in the list:

Remove simplevis

Hi, could you please remove reference to {simplevis}, as I am trying to get everyone to move to an updated package I created called {ggblanket} which does the same thing but better. I'm the maintainer of both. Thanks!

Geometries and statistics

Thanks for this useful resource!

I suggest renaming the section "Geometries" into "Geometries and Statistics" or alternatively into "Plot layers".

ggblanket description

Hi, could you please update the ggblanket description to "Simplify ggplot2 visualisation"

Thanks!

ggpmisc

I appreciate you listed my packages 'ggpp' and 'ggspectra'.

I created package 'ggpp' by spliting the code of some geometries and position functions out of package 'ggpmisc'. Package 'ggpmisc' still imports and reexports the whole of 'ggpp'. Package 'ggpmisc' is my most popular package, so I hope it could be added to the list, either in addition to 'ggpp' or instead of it. ('ggpmisc' has already 10 reverse dependencies.)

I have one more extenssion to 'ggplot2' in CRAN: 'gginnards'. This is more of a "niche" thing, and I am not sure whether it fits within the intended scope of this this.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.