R-universe search: topic:data-visualization

plotly

plotly:Create Interactive Web Graphics via 'plotly.js'

Create interactive web graphics from 'ggplot2' graphs and/or a custom interface to the (MIT-licensed) JavaScript library 'plotly.js' inspired by the grammar of graphics.

Maintained by Carson Sievert. Last updated 3 months ago.

d3js data-visualization ggplot2 javascript plotly shiny webgl

2.6k stars 19.43 score 93k scripts 797 dependents

nanxstats

ggsci:Scientific Journal and Sci-Fi Themed Color Palettes for 'ggplot2'

A collection of 'ggplot2' color palettes inspired by plots in scientific journals, data visualization libraries, science fiction movies, and TV shows.

Maintained by Nan Xiao. Last updated 9 months ago.

color-palettes data-visualization ggplot2 ggsci sci-fi scientific-journals visualization

680 stars 18.00 score 26k scripts 438 dependents

thomasp85

gganimate:A Grammar of Animated Graphics

The grammar of graphics as implemented in the 'ggplot2' package has been successful in providing a powerful API for creating static visualisation. In order to extend the API for animated graphics this package provides a completely new set of grammar, fully compatible with 'ggplot2' for specifying transitions and animations in a flexible and extensible way.

Maintained by Thomas Lin Pedersen. Last updated 4 days ago.

animation data-visualization ggplot-extension ggplot2 transition

2.0k stars 15.53 score 13k scripts 24 dependents

hrbrmstr

hrbrthemes:Additional Themes, Theme Components and Utilities for 'ggplot2'

A compilation of extra 'ggplot2' themes, scales and utilities, including a spell check function for plot label fields and an overall emphasis on typography. A copy of the 'Google' font 'Roboto Condensed' is also included.

Maintained by Bob Rudis. Last updated 14 days ago.

data-visualization datavisualization ggplot-extension ggplot2 ggplot2-scales ggplot2-themes visualization

1.3k stars 13.92 score 13k scripts 15 dependents

karthik

wesanderson:A Wes Anderson Palette Generator

Palettes generated mostly from 'Wes Anderson' movies.

Maintained by Karthik Ram. Last updated 1 years ago.

color-palette data-visualization plot wes-anderson-palettes

2.0k stars 13.51 score 7.1k scripts 23 dependents

dreamrs

esquisse:Explore and Visualize Your Data Interactively

A 'shiny' gadget to create 'ggplot2' figures interactively with drag-and-drop to map your variables to different aesthetics. You can quickly visualize your data accordingly to their type, export in various formats, and retrieve the code to reproduce the plot.

Maintained by Victor Perrier. Last updated 1 months ago.

addin data-visualization ggplot2 rstudio-addin visualization

1.8k stars 13.31 score 1.1k scripts 1 dependents

trafficonese

leaflet.extras:Extra Functionality for 'leaflet' Package

The 'leaflet' JavaScript library provides many plugins some of which are available in the core 'leaflet' package, but there are many more. It is not possible to support them all in the core 'leaflet' package. This package serves as an add-on to the 'leaflet' package by providing extra functionality via 'leaflet' plugins.

Maintained by Sebastian Gatscha. Last updated 2 months ago.

data-visualization geospatial leaflet

218 stars 13.27 score 2.5k scripts 25 dependents

easystats

see:Model Visualisation Toolbox for 'easystats' and 'ggplot2'

Provides plotting utilities supporting packages in the 'easystats' ecosystem (<https://github.com/easystats/easystats>) and some extra themes, geoms, and scales for 'ggplot2'. Color scales are based on <https://materialui.co/>. References: Lüdecke et al. (2021) <doi:10.21105/joss.03393>.

Maintained by Indrajeet Patil. Last updated 17 days ago.

data-visualization easystats ggplot2 hacktoberfest plotting see statistics visualisation visualization

902 stars 13.22 score 2.0k scripts 3 dependents

steffenmoritz

imputeTS:Time Series Missing Value Imputation

Imputation (replacement) of missing values in univariate time series. Offers several imputation functions and missing data plots. Available imputation algorithms include: 'Mean', 'LOCF', 'Interpolation', 'Moving Average', 'Seasonal Decomposition', 'Kalman Smoothing on Structural Time Series models', 'Kalman Smoothing on ARIMA models'. Published in Moritz and Bartz-Beielstein (2017) <doi:10.32614/RJ-2017-009>.

Maintained by Steffen Moritz. Last updated 3 years ago.

data-visualization imputation imputation-algorithm imputets missing-data time-series cpp

162 stars 12.18 score 1.9k scripts 27 dependents

bwlewis

threejs:Interactive 3D Scatter Plots, Networks and Globes

Create interactive 3D scatter plots, network plots, and globes using the 'three.js' visualization library (<https://threejs.org>).

Maintained by B. W. Lewis. Last updated 3 years ago.

data-visualization graph-animation igraph threejs webgl

304 stars 11.67 score 522 scripts 28 dependents

jthomasmock

gtExtras:Extending 'gt' for Beautiful HTML Tables

Provides additional functions for creating beautiful tables with 'gt'. The functions are generally wrappers around boilerplate or adding opinionated niche capabilities and helpers functions.

Maintained by Thomas Mock. Last updated 12 months ago.

data-science data-visualization datascience ggplot2 gt plots sparkline sparkline-graphs sparklines tables

199 stars 11.45 score 2.4k scripts 3 dependents

neuhausi

canvasXpress:Visualization Package for CanvasXpress in R

Enables creation of visualizations using the CanvasXpress framework in R. CanvasXpress is a standalone JavaScript library for reproducible research with complete tracking of data and end-user modifications stored in a single PNG image that can be played back. See <https://www.canvasxpress.org> for more information.

Maintained by Connie Brett. Last updated 10 hours ago.

analytics bioinformatics chart charting dash dashboard data-analytics data-science data-visualization genomics graphs javascript network network-visualization python reproducible-research shiny visualization

297 stars 11.28 score 145 scripts

bioc

karyoploteR:Plot customizable linear genomes displaying arbitrary data

karyoploteR creates karyotype plots of arbitrary genomes and offers a complete set of functions to plot arbitrary data on them. It mimicks many R base graphics functions coupling them with a coordinate change function automatically mapping the chromosome and data coordinates into the plot coordinates. In addition to the provided data plotting functions, it is easy to add new ones.

Maintained by Bernat Gel. Last updated 5 months ago.

visualization copynumbervariation sequencing coverage dnaseq chipseq methylseq dataimport onechannel bioconductor bioinformatics data-visualization genome genomics-visualization plotting-in-r

306 stars 11.22 score 656 scripts 4 dependents

hrbrmstr

waffle:Create Waffle Chart Visualizations

Square pie charts (a.k.a. waffle charts) can be used to communicate parts of a whole for categorical quantities. To emulate the percentage view of a pie chart, a 10x10 grid should be used with each square representing 1% of the total. Modern uses of waffle charts do not necessarily adhere to this rule and can be created with a grid of any rectangular shape. Best practices suggest keeping the number of categories small, just as should be done when creating pie charts. Tools are provided to create waffle charts as well as stitch them together, and to use glyphs for making isotype pictograms.

Maintained by Bob Rudis. Last updated 1 years ago.

data-visualisation data-visualization datavisualization ggplot2 square-pie-charts waffle-charts

777 stars 10.62 score 1.3k scripts 5 dependents

thomasp85

transformr:Polygon and Path Transformations

In order to smoothly animate the transformation of polygons and paths, many aspects needs to be taken into account, such as differing number of control points, changing center of rotation, etc. The 'transformr' package provides an extensive framework for manipulating the shapes of polygons and paths and can be seen as the spatial brother to the 'tweenr' package.

Maintained by Thomas Lin Pedersen. Last updated 1 years ago.

animation data-visualization interpolation matching-shapes tweening cpp

116 stars 9.81 score 772 scripts 26 dependents

acclab

dabestr:Data Analysis using Bootstrap-Coupled Estimation

Data Analysis using Bootstrap-Coupled ESTimation. Estimation statistics is a simple framework that avoids the pitfalls of significance testing. It uses familiar statistical concepts: means, mean differences, and error bars. More importantly, it focuses on the effect size of one's experiment/intervention, as opposed to a false dichotomy engendered by P values. An estimation plot has two key features: 1. It presents all datapoints as a swarmplot, which orders each point to display the underlying distribution. 2. It presents the effect size as a bootstrap 95% confidence interval on a separate but aligned axes. Estimation plots are introduced in Ho et al., Nature Methods 2019, 1548-7105. <doi:10.1038/s41592-019-0470-3>. The free-to-view PDF is located at <https://www.nature.com/articles/s41592-019-0470-3.epdf?author_access_token=Euy6APITxsYA3huBKOFBvNRgN0jAjWel9jnR3ZoTv0Pr6zJiJ3AA5aH4989gOJS_dajtNr1Wt17D0fh-t4GFcvqwMYN03qb8C33na_UrCUcGrt-Z0J9aPL6TPSbOxIC-pbHWKUDo2XsUOr3hQmlRew%3D%3D>.

Maintained by Yishan Mai. Last updated 1 years ago.

data-analysis data-visualization estimation statistics

214 stars 9.80 score 142 scripts

trafficonese

leaflet.extras2:Extra Functionality for 'leaflet' Package

Several 'leaflet' plugins are integrated, which are available as extension to the 'leaflet' package.

Maintained by Gatscha Sebastian. Last updated 23 days ago.

data-visualization geospatial geospatial-visualization leaflet leaflet-plugins

87 stars 9.70 score 432 scripts 1 dependents

dreamrs

billboarder:Create Interactive Chart with the JavaScript 'Billboard' Library

Provides an 'htmlwidgets' interface to 'billboard.js', a re-usable easy interface JavaScript chart library, based on D3 v4+. Chart types include line charts, scatterplots, bar/lollipop charts, histogram/density plots, pie/donut charts and gauge charts. All charts are interactive, and a proxy method is implemented to smoothly update a chart without rendering it again in 'shiny' apps.

Maintained by Victor Perrier. Last updated 8 days ago.

data-visualization htmlwidgets

175 stars 9.70 score 96 scripts 4 dependents

lindbrook

cholera:Amend, Augment and Aid Analysis of John Snow's Cholera Map

Amends errors, augments data and aids analysis of John Snow's map of the 1854 London cholera outbreak.

Maintained by lindbrook. Last updated 2 days ago.

cholera data-visualization datasets epidemiology john-snow public-health triangulation-delaunay voronoi voronoi-polygons

134 stars 9.34 score 95 scripts

ropensci

iheatmapr:Interactive, Complex Heatmaps

Make complex, interactive heatmaps. 'iheatmapr' includes a modular system for iteratively building up complex heatmaps, as well as the iheatmap() function for making relatively standard heatmaps.

Maintained by Alan OCallaghan. Last updated 8 months ago.

heatmap plotly interactive-visualizations data-visualization htmlwidgets peer-reviewed

267 stars 9.08 score 99 scripts 1 dependents

great-northern-diver

loon:Interactive Statistical Data Visualization

An extendable toolkit for interactive data visualization and exploration.

Maintained by R. Wayne Oldford. Last updated 2 years ago.

data-analysis data-science data-visualization exploratory-analysis exploratory-data-analysis high-dimensional-data interactive-graphics interactive-visualizations loon python statistical-analysis statistical-graphics statistics tcl-extension tk

48 stars 9.00 score 93 scripts 5 dependents

kcuilla

reactablefmtr:Streamlined Table Styling and Formatting for Reactable

Provides various features to streamline and enhance the styling of interactive reactable tables with easy-to-use and highly-customizable functions and themes. Apply conditional formatting to cells with data bars, color scales, color tiles, and icon sets. Utilize custom table themes inspired by popular websites such and bootstrap themes. Apply sparkline line & bar charts (note this feature requires the 'dataui' package which can be downloaded from <https://github.com/timelyportfolio/dataui>). Increase the portability and reproducibility of reactable tables by embedding images from the web directly into cells. Save the final table output as a static image or interactive file.

Maintained by Kyle Cuilla. Last updated 2 years ago.

customization data-visualization easy-to-use reproducible tables

209 stars 8.79 score 460 scripts 4 dependents

enblacar

SCpubr:Generate Publication Ready Visualizations of Single Cell Transcriptomics Data

A system that provides a streamlined way of generating publication ready plots for known Single-Cell transcriptomics data in a “publication ready” format. This is, the goal is to automatically generate plots with the highest quality possible, that can be used right away or with minimal modifications for a research article.

Maintained by Enrique Blanco-Carmona. Last updated 1 months ago.

software singlecell visualization data-visualization ggplot2 publication-quality-plots seurat single-cell single-cell-genomics single-cell-rna-seq

178 stars 8.71 score 194 scripts

thomas-neitmann

ggcharts:Get You to Your Desired Plot Faster

Streamlines the creation of common charts by taking care of a lot of data preprocessing and plot customization for the user. Provides a high-level interface for creating plots using 'ggplot2'.

Maintained by Thomas Neitmann. Last updated 3 years ago.

data-visualization ggplot2 plots

291 stars 8.49 score 119 scripts 1 dependents

dreamrs

apexcharter:Create Interactive Chart with the JavaScript 'ApexCharts' Library

Provides an 'htmlwidgets' interface to 'apexcharts.js'. 'Apexcharts' is a modern JavaScript charting library to build interactive charts and visualizations with simple API. 'Apexcharts' examples and documentation are available here: <https://apexcharts.com/>.

Maintained by Victor Perrier. Last updated 1 months ago.

data-visualization htmlwidgets

144 stars 8.43 score 247 scripts

davidhodge931

ggblanket:Simplify 'ggplot2' Visualisation

Simplify 'ggplot2' visualisation with 'ggblanket' wrapper functions.

Maintained by David Hodge. Last updated 10 days ago.

data-visualisation data-visualization ggplot ggplot-extension ggplot2 ggplot2-enhancements visualisation visualization

173 stars 8.42 score 45 scripts

bioc

GeneTonic:Enjoy Analyzing And Integrating The Results From Differential Expression Analysis And Functional Enrichment Analysis

This package provides functionality to combine the existing pieces of the transcriptome data and results, making it easier to generate insightful observations and hypothesis. Its usage is made easy with a Shiny application, combining the benefits of interactivity and reproducibility e.g. by capturing the features and gene sets of interest highlighted during the live session, and creating an HTML report as an artifact where text, code, and output coexist. Using the GeneTonicList as a standardized container for all the required components, it is possible to simplify the generation of multiple visualizations and summaries.

Maintained by Federico Marini. Last updated 3 months ago.

gui geneexpression software transcription transcriptomics visualization differentialexpression pathways reportwriting genesetenrichment annotation go shinyapps bioconductor bioconductor-package data-exploration data-visualization functional-enrichment-analysis gene-expression pathway-analysis reproducible-research rna-seq-analysis rna-seq-data shiny transcriptome user-friendly

77 stars 8.28 score 37 scripts 1 dependents

bioc

POMA:Tools for Omics Data Analysis

The POMA package offers a comprehensive toolkit designed for omics data analysis, streamlining the process from initial visualization to final statistical analysis. Its primary goal is to simplify and unify the various steps involved in omics data processing, making it more accessible and manageable within a single, intuitive R package. Emphasizing on reproducibility and user-friendliness, POMA leverages the standardized SummarizedExperiment class from Bioconductor, ensuring seamless integration and compatibility with a wide array of Bioconductor tools. This approach guarantees maximum flexibility and replicability, making POMA an essential asset for researchers handling omics datasets. See https://github.com/pcastellanoescuder/POMAShiny. Paper: Castellano-Escuder et al. (2021) <doi:10.1371/journal.pcbi.1009148> for more details.

Maintained by Pol Castellano-Escuder. Last updated 4 months ago.

batcheffect classification clustering decisiontree dimensionreduction multidimensionalscaling normalization preprocessing principalcomponent regression rnaseq software statisticalmethod visualization bioconductor bioinformatics data-visualization dimension-reduction exploratory-data-analysis machine-learning omics-data-integration pipeline pre-processing statistical-analysis user-friendly workflow

11 stars 8.16 score 20 scripts 1 dependents

friendly

ggbiplot:A Grammar of Graphics Implementation of Biplots

A 'ggplot2' based implementation of biplots, giving a representation of a dataset in a two dimensional space accounting for the greatest variance, together with variable vectors showing how the data variables relate to this space. It provides a replacement for stats::biplot(), but with many enhancements to control the analysis and graphical display. It implements biplot and scree plot methods which can be used with the results of prcomp(), princomp(), FactoMineR::PCA(), ade4::dudi.pca() or MASS::lda() and can be customized using 'ggplot2' techniques.

Maintained by Michael Friendly. Last updated 6 months ago.

biplot data-visualization dimension-reduction principal-component-analysis

12 stars 8.15 score 2.4k scripts 1 dependents

hrbrmstr

vegalite:Tools to Encode Visualizations with the 'Grammar of Graphics'-Like 'Vega-Lite' 'Spec'

The 'Vega-Lite' 'JavaScript' framework provides a higher-level grammar for visual analysis, akin to 'ggplot' or 'Tableau', that generates complete 'Vega' specifications. Functions exist which enable building a valid 'spec' from scratch or importing a previously created 'spec' file. Functions also exist to export 'spec' files and to generate code which will enable plots to be embedded in properly configured web pages. The default behavior is to generate an 'htmlwidget'.

Maintained by Bob Rudis. Last updated 7 years ago.

data-visualization datavisualization vega-lite vega-lite-spec visualization widget

158 stars 7.60 score 84 scripts

emilhvitfeldt

ggpage:Creates Page Layout Visualizations

Facilitates the creation of page layout visualizations in which words are represented as rectangles with sizes relating to the length of the words. Which then is divided in lines and pages for easy overview of up to quite large texts.

Maintained by Emil Hvitfeldt. Last updated 6 years ago.

data-visualization datavisualization dataviz ggplot2

339 stars 7.53 score 66 scripts

hendersontrent

theft:Tools for Handling Extraction of Features from Time Series

Consolidates and calculates different sets of time-series features from multiple 'R' and 'Python' packages including 'Rcatch22' Henderson, T. (2021) <doi:10.5281/zenodo.5546815>, 'feasts' O'Hara-Wild, M., Hyndman, R., and Wang, E. (2021) <https://CRAN.R-project.org/package=feasts>, 'tsfeatures' Hyndman, R., Kang, Y., Montero-Manso, P., Talagala, T., Wang, E., Yang, Y., and O'Hara-Wild, M. (2020) <https://CRAN.R-project.org/package=tsfeatures>, 'tsfresh' Christ, M., Braun, N., Neuffer, J., and Kempa-Liehr A.W. (2018) <doi:10.1016/j.neucom.2018.03.067>, 'TSFEL' Barandas, M., et al. (2020) <doi:10.1016/j.softx.2020.100456>, and 'Kats' Facebook Infrastructure Data Science (2021) <https://facebookresearch.github.io/Kats/>.

Maintained by Trent Henderson. Last updated 2 months ago.

data-visualisation data-visualization dimensionality-reduction machine-learning time-series

40 stars 7.48 score 50 scripts 1 dependents

kanaries

GWalkR:Interactive Exploratory Data Analysis Tool

Simplify your R data analysis and data visualization workflow by turning your data frame into an interactive 'Tableau'-like interface, leveraging the 'graphic-walker' JavaScript library and the 'htmlwidgets' package.

Maintained by Yue Yu. Last updated 20 hours ago.

data-visualization ggplot2 tableau-alternative visualization

462 stars 7.31 score 45 scripts

corybrunson

ordr:A Tidyverse Extension for Ordinations and Biplots

Ordination comprises several multivariate exploratory and explanatory techniques with theoretical foundations in geometric data analysis; see Podani (2000, ISBN:90-5782-067-6) for techniques and applications and Le Roux & Rouanet (2005) <doi:10.1007/1-4020-2236-0> for foundations. Greenacre (2010, ISBN:978-84-923846) shows how the most established of these, including principal components analysis, correspondence analysis, multidimensional scaling, factor analysis, and discriminant analysis, rely on eigen-decompositions or singular value decompositions of pre-processed numeric matrix data. These decompositions give rise to a set of shared coordinates along which the row and column elements can be measured. The overlay of their scatterplots on these axes, introduced by Gabriel (1971) <doi:10.1093/biomet/58.3.453>, is called a biplot. 'ordr' provides inspection, extraction, manipulation, and visualization tools for several popular ordination classes supported by a set of recovery methods. It is inspired by and designed to integrate into 'tidyverse' workflows provided by Wickham et al (2019) <doi:10.21105/joss.01686>.

Maintained by Jason Cory Brunson. Last updated 25 days ago.

biplot data-visualization dimension-reduction geometric-data-analysis grammar-of-graphics log-ratio-analysis multivariate-analysis multivariate-statistics ordination tidymodels tidyverse

24 stars 7.26 score 28 scripts

sebastien-plutniak

archeoViz:Visualisation, Exploration, and Web Communication of Archaeological Spatial Data

An R 'Shiny' application for visual and statistical exploration and web communication of archaeological spatial data, either remains or sites. It offers interactive 3D and 2D visualisations (cross sections and maps of remains, timeline of the work made in a site) which can be exported in SVG and HTML formats. It performs simple spatial statistics (convex hull, regression surfaces, 2D kernel density estimation) and allows exporting data to other online applications for more complex methods. 'archeoViz' can be used offline locally or deployed on a server, either with interactive input of data or with a static data set. Example is provided at <https://analytics.huma-num.fr/archeoviz/en>.

Maintained by Sebastien Plutniak. Last updated 2 months ago.

archaeology archeology data-visualization

19 stars 7.23 score 6 scripts

nbarrowman

vtree:Display Information About Nested Subsets of a Data Frame

A tool for calculating and drawing "variable trees". Variable trees display information about nested subsets of a data frame.

Maintained by Nick Barrowman. Last updated 13 days ago.

data-science data-visualization exploratory-data-analysis statistics

76 stars 7.09 score 65 scripts

egenn

rtemis:Machine Learning and Visualization

Advanced Machine Learning and Visualization. Unsupervised Learning (Clustering, Decomposition), Supervised Learning (Classification, Regression), Cross-Decomposition, Bagging, Boosting, Meta-models. Static and interactive graphics.

Maintained by E.D. Gennatas. Last updated 2 months ago.

data-science data-visualization machine-learning machine-learning-library visualization

145 stars 7.09 score 50 scripts 2 dependents

bioc

systemPipeShiny:systemPipeShiny: An Interactive Framework for Workflow Management and Visualization

systemPipeShiny (SPS) extends the widely used systemPipeR (SPR) workflow environment with a versatile graphical user interface provided by a Shiny App. This allows non-R users, such as experimentalists, to run many systemPipeR’s workflow designs, control, and visualization functionalities interactively without requiring knowledge of R. Most importantly, SPS has been designed as a general purpose framework for interacting with other R packages in an intuitive manner. Like most Shiny Apps, SPS can be used on both local computers as well as centralized server-based deployments that can be accessed remotely as a public web service for using SPR’s functionalities with community and/or private data. The framework can integrate many core packages from the R/Bioconductor ecosystem. Examples of SPS’ current functionalities include: (a) interactive creation of experimental designs and metadata using an easy to use tabular editor or file uploader; (b) visualization of workflow topologies combined with auto-generation of R Markdown preview for interactively designed workflows; (d) access to a wide range of data processing routines; (e) and an extendable set of visualization functionalities. Complex visual results can be managed on a 'Canvas Workbench’ allowing users to organize and to compare plots in an efficient manner combined with a session snapshot feature to continue work at a later time. The present suite of pre-configured visualization examples. The modular design of SPR makes it easy to design custom functions without any knowledge of Shiny, as well as extending the environment in the future with contributions from the community.

Maintained by Le Zhang. Last updated 5 months ago.

shinyapps infrastructure dataimport sequencing qualitycontrol reportwriting experimentaldesign clustering bioconductor bioconductor-package data-visualization shiny systempiper

34 stars 7.04 score 36 scripts

rivasiker

ggHoriPlot:Horizon Plots for 'ggplot2'

A user-friendly, highly customizable R package for building horizon plots in the 'ggplot2' environment.

Maintained by Iker Rivas-González. Last updated 9 months ago.

data-science data-visualization ggplot2 horizon-plots

144 stars 6.96 score 63 scripts

maliny12

sugarglider:Create Glyph-Maps of Spatiotemporal Data

Provides 'ggplot2' extensions to construct glyph-maps for visualizing seasonality in spatiotemporal data. See the Journal of Statistical Software reference: Zhang, H. S., Cook, D., Laa, U., Langrené, N., & Menéndez, P. (2024) <doi:10.18637/jss.v110.i07>. The manuscript for this package is currently under preparation and can be found on GitHub at <https://github.com/maliny12/paper-sugarglider>.

Maintained by Maliny Po. Last updated 3 months ago.

data-visualization

11 stars 6.68 score 7 scripts

jaredhuling

jcolors:Colors Palettes for R and 'ggplot2', Additional Themes for 'ggplot2'

Contains a selection of color palettes and 'ggplot2' themes designed by the package author.

Maintained by Jared Huling. Last updated 1 years ago.

color-palettes data-visualization ggplot2 visualization

25 stars 6.66 score 368 scripts

kevinsblake

NatParksPalettes:Color Palettes Inspired by National Parks

Color palettes for data visualization inspired by National Parks. Currently contains 15 color schemes and checks for colorblind-friendliness of palettes.

Maintained by Kevin Blake. Last updated 3 months ago.

colorpalette data-visualization

242 stars 6.53 score 281 scripts

trafficonese

leaflet.esri:'ESRI' Bindings for the 'leaflet' Package

An add-on package to the 'leaflet' package, which provides bindings for 'ESRI' services. This package allows a user to add 'ESRI' provided services such as 'MapService', 'ImageMapService', 'TiledMapService' etc. to a 'leaflet' map.

Maintained by Bhaskar Karambelkar. Last updated 3 years ago.

data-visualization esri esri-leaflet geospatial leaflet

36 stars 6.28 score 106 scripts

pgomba

MDPIexploreR:Web Scraping and Bibliometric Analysis of MDPI Journals

Provides comprehensive tools to scrape and analyze data from the MDPI journals. It allows users to extract metrics such as submission-to-acceptance times, article types, and whether articles are part of special issues. The package can also visualize this information through plots. Additionally, 'MDPIexploreR' offers tools to explore patterns of self-citations within articles and provides insights into guest-edited special issues.

Maintained by Pablo Gómez Barreiro. Last updated 9 days ago.

analysis data-analysis data-visualization mdpi metrics scientific-journals visualization web-scraping

20 stars 6.26 score 9 scripts

cidm-ph

ggmapinset:Add Inset Panels to Maps

Helper to add insets based on geom_sf() from 'ggplot2'. This package gives you a drop-in replacement for geom_sf() that supports adding a zoomed inset map without having to create and embed a separate plot.

Maintained by Carl Suster. Last updated 3 months ago.

data-visualization geospatial ggplot-extension ggplot2

36 stars 6.21 score 9 scripts 1 dependents

xuan-liang

ggmatplot:Plot Columns of Two Matrices Against Each Other Using 'ggplot2'

A quick and easy way of plotting the columns of two matrices or data frames against each other using 'ggplot2'. Although 'ggmatplot' doesn't provide the same flexibility as 'ggplot2', it can be used as a workaround for having to wrangle wide format data into long format for plotting with 'ggplot2'.

Maintained by Xuan Liang. Last updated 2 months ago.

data-visualization

5 stars 6.10 score 56 scripts

bioc

CRISPRball:Shiny Application for Interactive CRISPR Screen Visualization, Exploration, Comparison, and Filtering

A Shiny application for visualization, exploration, comparison, and filtering of CRISPR screens analyzed with MAGeCK RRA or MLE. Features include interactive plots with on-click labeling, full customization of plot aesthetics, data upload and/or download, and much more. Quickly and easily explore your CRISPR screen results and generate publication-quality figures in seconds.

Maintained by Jared Andrews. Last updated 3 months ago.

software shinyapps crispr qualitycontrol visualization gui crispr-screen data-visualization interactive-visualizations mageck plotly screening shiny

9 stars 6.03 score 24 scripts

numbats

cassowaryr:Compute Scagnostics on Pairs of Numeric Variables in a Data Set

Computes a range of scatterplot diagnostics (scagnostics) on pairs of numerical variables in a data set. A range of scagnostics, including graph and association-based scagnostics described by Leland Wilkinson and Graham Wills (2008) <doi:10.1198/106186008X320465> and association-based scagnostics described by Katrin Grimm (2016,ISBN:978-3-8439-3092-5) can be computed. Summary and plotting functions are provided.

Maintained by Harriet Mason. Last updated 24 days ago.

data-science data-visualization eda high-dimensional-data multivariate

3 stars 6.02 score 26 scripts 1 dependents

terrytangyuan

autoplotly:Automatic Generation of Interactive Visualizations for Statistical Results

Functionalities to automatically generate interactive visualizations for statistical results supported by 'ggfortify', such as time series, PCA, clustering and survival analysis, with 'plotly.js' <https://plotly.com/> and 'ggplot2' style. The generated visualizations can also be easily extended using 'ggplot2' and 'plotly' syntax while staying interactive.

Maintained by Yuan Tang. Last updated 2 years ago.

data-visualization ggplot2 interactive-visualizations machine-learning plotly plotlyjs statistics

88 stars 6.01 score 23 scripts

mmedl94

lionfish:Interactive 'tourr' Using 'python'

Extends the functionality of the 'tourr' package by an interactive graphical user interface. The interactivity allows users to effortlessly refine their 'tourr' results by manual intervention, which allows for integration of expert knowledge and aids the interpretation of results. For more information on 'tourr' see Wickham et. al (2011) <doi:10.18637/jss.v040.i02> or <https://github.com/ggobi/tourr>.

Maintained by Matthias Medl. Last updated 5 days ago.

data-sience data-visualization dimensionality-reduction exploratory-data-analysis interactive interactive-visualizations tourr

1 stars 5.98 score

stefan-schroedl

plotluck:'ggplot2' Version of "I'm Feeling Lucky!"

Examines the characteristics of a data frame and a formula to automatically choose the most suitable type of plot out of the following supported options: scatter, violin, box, bar, density, hexagon bin, spine plot, and heat map. The aim of the package is to let the user focus on what to plot, rather than on the "how" during exploratory data analysis. It also automates handling of observation weights, logarithmic axis scaling, reordering of factor levels, and overlaying smoothing curves and median lines. Plots are drawn using 'ggplot2'.

Maintained by Stefan Schroedl. Last updated 2 years ago.

automatic box-plot boxplot cleveland data-visualization density-plot ggplot2 heatmap hexbin plot scatter scatter-plot spine-plot violin-plot visualization

52 stars 5.96 score 35 scripts

frankkramer-lab

mully:Create, Modify and Visualize Multi-Layered Networks

Allows the user to create graphs with multiple layers. The user can also modify the layers, the nodes, and the edges. The graph can also be visualized. Zaynab Hammoud and Frank Kramer (2018) <doi:10.3390/genes9110519>. More about multilayered graphs and their usage can be found in our review paper: Zaynab Hammoud and Frank Kramer (2020) <doi:10.1186/s41044-020-00046-0>.

Maintained by Zaynab Hammoud. Last updated 2 years ago.

big-networks data-visualization graph-theory graphs igraph multilayer-networks node-colored-graphs

45 stars 5.95 score 6 scripts

guyabel

fanplot:Visualisation of Sequential Probability Distributions Using Fan Charts

Visualise sequential distributions using a range of plotting styles. Sequential distribution data can be input as either simulations or values corresponding to percentiles over time. Plots are added to existing graphic devices using the fan function. Users can choose from four different styles, including fan chart type plots, where a set of coloured polygon, with shadings corresponding to the percentile values are layered to represent different uncertainty levels. Full details in R Journal article; Abel (2015) <doi:10.32614/RJ-2015-002>.

Maintained by Guy J. Abel. Last updated 3 years ago.

data-visualization dataviz fanchart uncertainty-visualisation

6 stars 5.91 score 71 scripts 7 dependents

bioc

DiscoRhythm:Interactive Workflow for Discovering Rhythmicity in Biological Data

Set of functions for estimation of cyclical characteristics, such as period, phase, amplitude, and statistical significance in large temporal datasets. Supporting functions are available for quality control, dimensionality reduction, spectral analysis, and analysis of experimental replicates. Contains a R Shiny web interface to execute all workflow steps.

Maintained by Matthew Carlucci. Last updated 5 months ago.

software timecourse qualitycontrol visualization gui principalcomponent bioconductor data-visualization oscillations rhythm-detection webapp

13 stars 5.89 score 9 scripts

tylerlittlefield

lisa:Color Palettes from Color Lisa

Contains 128 palettes from Color Lisa. All palettes are based on masterpieces from the worlds greatest artists. For more information, see <http://colorlisa.com/>.

Maintained by Tyler Littlefield. Last updated 5 years ago.

color-palette colorlisa data-visualization palettes

45 stars 5.84 score 31 scripts

kbelisar

ggcorset:The Corset Plot

Corset plots are a visualization technique used strictly to visualize repeat measures at 2 time points (such as pre- and post- data). The distribution of measurements are visualized at each time point, whilst the trajectories of individual change are visualized by connecting the pre- and post- values linearly. These lines can be coloured to represent the magnitude of change, or other user-defined value. This method of visualization is ideal for showing the heterogeneity of data, including differences by sub-groups. The package relies on 'ggplot2' allowing for easy integration so that users can customize their visualizations as required. Users can create corset plots using data in either wide or long format using the functions gg_corset() or gg_corset_elongated(), respectively.

Maintained by Kyla Belisario. Last updated 7 months ago.

corset-plot data-visualization data-viz ggplot2 visualization

34 stars 5.83 score 4 scripts

guyabel

tidycat:Expand Tidy Output for Categorical Parameter Estimates

Create additional rows and columns on broom::tidy() output to allow for easier control on categorical parameter estimates.

Maintained by Guy J. Abel. Last updated 1 years ago.

data-visualization data-viz glm model-comparison regression-analysis regression-models statistical-analysis statistical-modeling

4 stars 5.53 score 56 scripts 1 dependents

emcramer

CHOIRBM:Plots the CHOIR Body Map

Collection of utility functions for visualizing body map data collected with the Collaborative Health Outcomes Information Registry.

Maintained by Eric Cramer. Last updated 1 years ago.

body-map cbm choir data-visualization visualization

5 stars 5.51 score 26 scripts

davidchall

ggip:Data Visualization for IP Addresses and Networks

A 'ggplot2' extension that enables visualization of IP (Internet Protocol) addresses and networks. The address space is mapped onto the Cartesian coordinate system using a space-filling curve. Offers full support for both IPv4 and IPv6 (Internet Protocol versions 4 and 6) address spaces.

Maintained by David Hall. Last updated 2 years ago.

cyber data-visualization ggplot-extension ggplot2 hilbert-curve ip-address ipv4 ipv6 space-filling-curves cpp

27 stars 5.51 score 12 scripts

r-barnes

webglobe:3D Interactive Globes

Displays geospatial data on an interactive 3D globe in the web browser.

Maintained by Richard Barnes. Last updated 5 years ago.

3d cesiumjs data-visualization globe visualization

30 stars 5.48 score 20 scripts

hrbrmstr

voteogram:United States House and Senate Voting Cartogram Generators

'ProPublica' <https://projects.propublica.org/represent/> makes United States Congress member votes available and has developed their own unique cartogram to visually represent this data. Tools are provided to retrieve voting data, prepare voting data for plotting with 'ggplot2', create vote cartograms and theme them.

Maintained by Bob Rudis. Last updated 2 years ago.

data-visualisation data-visualization datavisualization

43 stars 5.45 score 13 scripts

jmaasch

sanzo:Color Palettes Based on the Works of Sanzo Wada

Inspired by the art and color research of Sanzo Wada (1883-1967), his "Dictionary Of Color Combinations" (2011, ISBN:978-4861522475), and the interactive site by Dain M. Blodorn Kim <https://github.com/dblodorn/sanzo-wada>, this package brings Wada's color combinations to R for easy use in data visualizations. This package honors 60 of Wada's color combinations: 20 duos, 20 trios, and 20 quads.

Maintained by Jacqueline Maasch. Last updated 5 years ago.

color-palettes data-analysis data-science data-visualization sanzo-wada visualizations

30 stars 5.41 score 17 scripts

freguglia

ggfocus:Scales that Focus Specific Levels in your ggplot()

A 'ggplot2' extension that provides tools for automatically creating scales to focus on subgroups of the data plotted without losing other information.

Maintained by Victor Freguglia. Last updated 2 years ago.

data-visualization ggplot-extension visualization

23 stars 5.21 score 14 scripts

lydialucchesi

smallsets:Visual Documentation for Data Preprocessing

Data practitioners regularly use the 'R' and 'Python' programming languages to prepare data for analyses. Thus, they encode important data preprocessing decisions in 'R' and 'Python' code. The 'smallsets' package subsequently decodes these decisions into a Smallset Timeline, a static, compact visualisation of data preprocessing decisions (Lucchesi et al. (2022) <doi:10.1145/3531146.3533175>). The visualisation consists of small data snapshots of different preprocessing steps. The 'smallsets' package builds this visualisation from a user's dataset and preprocessing code located in an 'R', 'R Markdown', 'Python', or 'Jupyter Notebook' file. Users simply add structured comments with snapshot instructions to the preprocessing code. One optional feature in 'smallsets' requires installation of the 'Gurobi' optimisation software and 'gurobi' 'R' package, available from <https://www.gurobi.com>. More information regarding the optional feature and 'gurobi' installation can be found in the 'smallsets' vignette.

Maintained by Lydia R. Lucchesi. Last updated 2 months ago.

data-science data-visualization documentation-tool machine-learning preprocessing python visualization-tools

14 stars 5.19 score 11 scripts

nvietto

Rdune:'Creates Color Palettes Inspired by Dune'

Enables the use of color palettes inspired by the 'Dune' movies. These palettes are compatible with 'ggplot2'. See Wickham (2016) <doi:10.1007/978-3-319-24277-4> for more details on 'ggplot2'.

Maintained by Nicholas Vietto. Last updated 26 days ago.

color-palette data-visualization

4 stars 5.19 score 11 scripts

rmi-pacta

pacta.interactive.plot:What the Package Does (One Line, Title Case)

What the package does (one paragraph).

Maintained by CJ Yetman. Last updated 9 months ago.

d3 data-visualization interactive-visualizations pacta r2d3

2 stars 5.16 score 7 scripts 1 dependents

tesselle

tabula:Analysis and Visualization of Archaeological Count Data

An easy way to examine archaeological count data. This package provides several tests and measures of diversity: heterogeneity and evenness (Brillouin, Shannon, Simpson, etc.), richness and rarefaction (Chao1, Chao2, ACE, ICE, etc.), turnover and similarity (Brainerd-Robinson, etc.). It allows to easily visualize count data and statistical thresholds: rank vs abundance plots, heatmaps, Ford (1962) and Bertin (1977) diagrams, etc.

Maintained by Nicolas Frerebeau. Last updated 25 days ago.

data-visualization archaeology archaeological-science

5.10 score 38 scripts 1 dependents

cidm-ph

ggautomap:Create Maps from a Column of Place Names

Mapping tools that convert place names to coordinates on the fly. These 'ggplot2' extensions make maps from a data frame where one of the columns contains place names, without having to directly work with the underlying geospatial data and tools. The corresponding map data must be registered with 'cartographer' either by the user or by another package.

Maintained by Carl Suster. Last updated 1 years ago.

data-visualization geospatial ggplot-extension ggplot2

24 stars 5.08 score 5 scripts

hendersontrent

theftdlc:Analyse and Interpret Time Series Features

Provides a suite of functions for analysing, interpreting, and visualising time-series features calculated from different feature sets from the 'theft' package. Implements statistical learning methodologies described in Henderson, T., Bryant, A., and Fulcher, B. (2023) <arXiv:2303.17809>.

Maintained by Trent Henderson. Last updated 2 months ago.

data-science data-visualization machine-learning statistics time-series

4 stars 4.94 score 11 scripts

jatanrt

eprscope:Processing and Analysis of Electron Paramagnetic Resonance Data and Spectra in Chemistry

Processing, analysis and plottting of Electron Paramagnetic Resonance (EPR) spectra in chemistry. Even though the package is mainly focused on continuous wave (CW) EPR/ENDOR, many functions may be also used for the integrated forms of 1D PULSED EPR spectra. It is able to find the most important spectral characteristics like g-factor, linewidth, maximum of derivative or integral intensities and single/double integrals. This is especially important in spectral (time) series consisting of many EPR spectra like during variable temperature experiments, electrochemical or photochemical radical generation and/or decay. Package also enables processing of data/spectra for the analytical (quantitative) purposes. Namely, how many radicals or paramagnetic centers can be found in the analyte/sample. The goal is to evaluate rate constants, considering different kinetic models, to describe the radical reactions. The key feature of the package resides in processing of the universal ASCII text formats (such as '.txt', '.csv' or '.asc') from scratch. No proprietary formats are used (except the MATLAB EasySpin outputs) and in such respect the package is in accordance with the FAIR data principles. Upon 'reading' (also providing automatic procedures for the most common EPR spectrometers) the spectral data are transformed into the universal R 'data frame' format. Subsequently, the EPR spectra can be visualized and are fully consistent either with the 'ggplot2' package or with the interactive formats based on 'plotly'. Additionally, simulations and fitting of the isotropic EPR spectra are also included in the package. Advanced simulation parameters provided by the MATLAB-EasySpin toolbox and results from the quantum chemical calculations like g-factor and hyperfine splitting/coupling constants (a/A) can be compared and summarized in table-format in order to analyze the EPR spectra by the most effective way.

Maintained by Ján Tarábek. Last updated 1 days ago.

chemistry data-analysis data-visualization epr esr fitting optimization programming-language reproducible-research scientific-plotting spectroscopy openjdk

4.76 score 7 scripts

jared-fowler

prettyglm:Pretty Summaries of Generalized Linear Model Coefficients

One of the main advantages of using Generalised Linear Models is their interpretability. The goal of 'prettyglm' is to provide a set of functions which easily create beautiful coefficient summaries which can readily be shared and explained. 'prettyglm' helps users create coefficient summaries which include categorical base levels, variable importance and type III p.values. 'prettyglm' also creates beautiful relativity plots for categorical, continuous and splined coefficients.

Maintained by Jared Fowler. Last updated 1 years ago.

classification classification-model data-science data-visualization glm linear-models regression regression-analysis regression-model regression-models statistical-models

3 stars 4.73 score 36 scripts

kylegrealis

nascaR.data:NASCAR Race Data

A collection of NASCAR race, driver, owner and manufacturer data across the three major NASCAR divisions: NASCAR Cup Series, NASCAR Xfinity Series, and NASCAR Craftsman Truck Series. The curated data begins with the 1949 season and extends through the end of the 2024 season. Explore race, season, or career performance for drivers, teams, and manufacturers throughout NASCAR's history. Data was sourced with permission from DriverAverages.com.

Maintained by Kyle Grealis. Last updated 25 days ago.

data-science data-visualization racing

5 stars 4.70 score 2 scripts

trackerproject

trackeRapp:Interface for the Analysis of Running, Cycling and Swimming Data from GPS-Enabled Tracking Devices

Provides an integrated user interface and workflow for the analysis of running, cycling and swimming data from GPS-enabled tracking devices through the 'trackeR' <https://CRAN.R-project.org/package=trackeR> R package.

Maintained by Ioannis Kosmidis. Last updated 3 years ago.

data-visualization shiny sports-app web-app web-development

32 stars 4.68 score 2 scripts

jefworks-lab

scatterbar:Scattered Stacked Bar Chart Plots

Provides a powerful and flexible tool for visualizing proportional data across spatially resolved contexts. By combining the concepts of scatter plots and stacked bar charts, `scatterbar` allows users to create scattered bar chart plots, which effectively display the proportions of different categories at each (x, y) location. This visualization is particularly useful for applications where understanding the distribution of categories across spatial coordinates is essential. This package features automatic determination of optimal scaling factors based on data, customizable scaling and padding options for both x and y axes, flexibility to specify custom colors for each category, options to customize the legend title, and integration with `ggplot2` for robust and high-quality visualizations. For more details, see Velazquez et al. (2024) <doi:10.1101/2024.08.14.606810>.

Maintained by Dee Velazquez. Last updated 26 days ago.

data-visualization spatial-analysis spatial-data-analysis spatial-transcriptomics

6 stars 4.65 score 15 scripts

leonawicz

memery:Internet Memes for Data Analysts

Generates internet memes that optionally include a superimposed inset plot and other atypical features, combining the visual impact of an attention-grabbing meme with graphic results of data analysis. The package differs from related packages that focus on imitating and reproducing standard memes. Some packages do this by interfacing with online meme generators whereas others achieve this natively. This package takes the latter approach. It does not interface with online meme generators or require any authentication with external websites. It reads images directly from local files or via URL and meme generation is done by the package. While this is similar to the 'meme' package available on CRAN, it differs in that the focus is on allowing for non-standard meme layouts and hybrids of memes mixed with graphs. While this package can be used to make basic memes like an online meme generator would produce, it caters primarily to hybrid graph-meme plots where the meme presentation can be seen as a backdrop highlighting foreground graphs of data analysis results. The package also provides support for an arbitrary number of meme text labels with arbitrary size, position and other attributes rather than restricting to the standard top and/or bottom text placement. This is useful for proper aesthetic interleaving of plots of data between meme image backgrounds and overlain text labels. The package offers a selection of templates for graph placement and appearance with respect to the underlying meme. Graph templates also permit additional template-specific customization. Animated gif support is provided but this is optional and functional only if the 'magick' package is installed. 'magick' is not required unless gif functionality is desired.

Maintained by Matthew Leonawicz. Last updated 7 months ago.

data-visualization memes r-shiny

17 stars 4.46 score 34 scripts

alexym1

fusionchartsR:Embedding FusionCharts in R

FusionCharts provides awesome and minimalist functions to make beautiful interactive charts <https://www.fusioncharts.com/>.

Maintained by Alex Yahiaoui Martinez. Last updated 3 months ago.

data-visualization

6 stars 4.40 score 42 scripts

corymccartan

wacolors:Colorblind-Friendly Palettes from Washington State

Color palettes taken from the landscapes and cities of Washington state. Colors were extracted from a set of photographs, and then combined to form a set of continuous and discrete palettes. Continuous palettes were designed to be perceptually uniform, while discrete palettes were chosen to maximize contrast at several different levels of overall brightness and saturation. Each palette has been evaluated to ensure colors are distinguishable by colorblind people.

Maintained by Cory McCartan. Last updated 3 years ago.

color-palette colorblind colorblind-friendly-palettes data-visualization washington-state

14 stars 4.31 score 29 scripts

mhashemihsmw

MLMOI:Estimating Frequencies, Prevalence and Multiplicity of Infection

The implemented methods reach out to scientists that seek to estimate multiplicity of infection (MOI) and lineage (allele) frequencies and prevalences at molecular markers using the maximum-likelihood method described in Schneider (2018) <doi:10.1371/journal.pone.0194148>, and Schneider and Escalante (2014) <doi:10.1371/journal.pone.0097899>. Users can import data from Excel files in various formats, and perform maximum-likelihood estimation on the imported data by the package's moimle() function.

Maintained by Meraj Hashemi. Last updated 1 years ago.

data data-visualization dataanalysis datapreprocessing datawrangling statistical-models

4.30 score 2 scripts

antoineguillot2

D3partitionR:Interactive Charts of Nested and Hierarchical Data with 'D3.js'

Builds interactive 'd3.js' hierarchical visualisation easily. D3partitionR makes it easy to build and customize sunburst, circle treemap, treemap, partition chart, ...

Maintained by Antoine Guillot. Last updated 6 years ago.

d3js d3partitionr data-visualization r-shiny

40 stars 4.30 score 8 scripts

flrd

ggpointless:Additional Geometries and Stats for 'ggplot2'

An (aspirational) collection of additional geometries and statistics for 'ggplot2'.

Maintained by Markus Döring. Last updated 8 months ago.

data-visualization ggplot2

2 stars 4.30 score 9 scripts

maflot

diceplot:High Dimensional Categorical Data Visualization

Easy visualization for datasets with more than two categorical variables and additional continuous variables. 'diceplot' is particularly useful for exploring complex categorical data in the context of pathway analysis across multiple conditions. For a detailed documentation please visit <https://dice-and-domino-plot.readthedocs.io/en/latest/>.

Maintained by Matthias Flotho. Last updated 6 days ago.

data-visualization

4 stars 4.20 score 5 scripts

adamspannbauer

rPackedBar:Packed Bar Charts with 'plotly'

Packed bar charts are a variation of treemaps for visualizing skewed data. The concept was introduced by Xan Gregg at 'JMP'.

Maintained by Adam Spannbauer. Last updated 6 years ago.

barchart data-visualization plotlyjs treemap

3 stars 4.18 score 5 scripts

globeandmail

upstartr:Utilities Powering the Globe and Mail's Data Journalism Template

Core functions necessary for using The Globe and Mail's R data journalism template, 'startr', along with utilities for day-to-day data journalism tasks, such as reading and writing files, producing graphics and cleaning up datasets.

Maintained by Tom Cardoso. Last updated 1 years ago.

data data-analysis data-journalism data-visualization journalism news

6 stars 4.14 score 46 scripts

johnmackintosh

rockthemes:Colour palettes based on classic rock album covers

Colour palettes, scales and fills based on classic rock album covers.

Maintained by John MacKintosh. Last updated 1 years ago.

colour-palettes data-visualisation data-visualization ggplot2 ggplot2-themes rock-albums

35 stars 4.02 score 7 scripts

globeandmail

tgamtheme:Globe and Mail Graphics Theme for 'ggplot2'

Theme and colour palettes for The Globe and Mail's graphics. Includes colour and fill scale functions, colour palette helpers and a Globe-styled 'ggplot2' theme object.

Maintained by Tom Cardoso. Last updated 4 years ago.

data data-journalism data-visualization journalism news

6 stars 3.95 score 2 scripts 1 dependents

sdam-au

sdam:Digital Tools for the SDAM Project at Aarhus University

Provides digital tools for performing analyses within Social Dynamics and complexity in the Ancient Mediterranean (SDAM), which is a research group based at the Department of History and Classical Studies at Aarhus University.

Maintained by Antonio Rivero Ostoic. Last updated 3 years ago.

aarhus-university cartography data-visualization dataset digital-humanities encoding extract inscriptions rest-api temporal

4 stars 3.86 score 36 scripts

ecamenen

GimmeMyPlot:Graphical Utilities for Visualizing and Exploring Data

Simplifies the process of creating essential visualizations in R, offering a range of plotting functions for common chart types like violin plots, pie charts, and histograms. With an intuitive interface, users can effortlessly customize colors, labels, and styles, making it an ideal tool for both beginners and experienced data analysts. Whether exploring datasets or producing quick visual summaries, this package provides a streamlined solution for fundamental graphics in R.

Maintained by Etienne Camenen. Last updated 1 years ago.

data-visualization visualization

3.70 score 5 scripts

benst099

circlesplot:Visualize Proportions with Circles in a Plot

Method for visualizing proportions between objects of different sizes. The proportions are drawn as circles with different diameters, which makes them ideal for visualizing proportions between planets.

Maintained by BenSt099. Last updated 1 years ago.

data-science data-visualization proportions visualization

3.70 score 2 scripts

abdoulma

ggtricks:Create Sector and Other Charts Easily Using Grammar of Graphics

A collection of several geoms to create graphics, using 'ggplot2' and the Cartesian coordinate system. You use the familiar mapping 'Grammar of Graphics' without the need to do another transformation into polar coordinates.

Maintained by Abdoul ISSA BIDA. Last updated 2 years ago.

data-visualization

8 stars 3.60 score 8 scripts

hriebl

ggnuplot:Make 'ggplot2' Look Like 'gnuplot'

Provides a theme, a discrete color palette, and continuous scales to make 'ggplot2' look like 'gnuplot'. This may be helpful if you use both 'ggplot2' and 'gnuplot' in one project.

Maintained by Hannes Riebl. Last updated 5 years ago.

data-visualization ggplot2 ggplot2-theme visualization

6 stars 3.48 score 4 scripts

cjyetman

network.r2d3:Makes interactive network graphs using r2d3

Makes interactive network graphs using r2d3.

Maintained by CJ Yetman. Last updated 8 months ago.

d3 data-visualization interactive-visualizations r2d3

3 stars 3.48 score 1 scripts

ecologicaltools

IBRtools:Integrating Biomarker-Based Assessments and Radarchart Creation

Several functions to calculate two important indexes (IBR (Integrated Biomarker Response) and IBRv2 (Integrated Biological Response version 2)), it also calculates the standardized values for enzyme activity for each index, and it has a graphing function to perform radarplots that make great data visualization for this type of data. Beliaeff, B., & Burgeot, T. (2002). <https://pubmed.ncbi.nlm.nih.gov/12069320/>. Sanchez, W., Burgeot, T., & Porcher, J.-M. (2013).<doi:10.1007/s11356-012-1359-1>. Devin, S., Burgeot, T., Giambérini, L., Minguez, L., & Pain-Devin, S. (2014). <doi:10.1007/s11356-013-2169-9>. Minato N. (2022). <https://minato.sip21c.org/msb/>.

Maintained by Anna Carolina Resende. Last updated 2 years ago.

data-visualization devtools enzyme-activity ibr ibrv indexes-ibr integrated-biomarker-response radarchart rstudio-cloud starplot

3 stars 3.18 score 2 scripts

miserman

splot:Simplified Plotting for Data Exploration

Automates common plotting tasks to ease data exploration. Makes density plots (potentially overlaid on histograms), scatter plots with prediction lines, or bar or line plots with error bars. For each type, y, or x and y variables can be plotted at levels of other variables, all with minimal specification.

Maintained by Micah Iserman. Last updated 1 years ago.

data-visualization

3.06 score 23 scripts

ethanbass

ggtukey:Compact Letter Displays for Multiple Comparisons in 'ggplot2'

Provides a simple interface to visualize paired comparisons in 'ggplot2' by adding compact letter displays (i.e. Tukey letters).

Maintained by Ethan Bass. Last updated 2 years ago.

cld data-visualization ggplot-extension ggplot2

2 stars 3.00 score 3 scripts

johnmackintosh

metallicaRt:Colour palettes based on Metallica studio album covers

Colour palettes based on Metallica studio album covers.

Maintained by John MacKintosh. Last updated 1 years ago.

colour-palettes data-visualisation data-visualization datascience ggplot2 ggplot2-themes metallica

19 stars 2.98 score 3 scripts

louissirugue

directotree:Creates an Interactive Tree Structure of a Directory

Represents the content of a directory as an interactive collapsible tree. Offers the possibility to assign a text (e.g., a 'Readme.txt') to each folder (represented as a clickable node), so that when the user hovers the pointer over a node, the corresponding text is displayed as a tooltip.

Maintained by Louis Sirugue. Last updated 6 years ago.

collapsible-tree data-visualization directotree tree

2 stars 2.30 score 1 scripts