The R graph gallery displays hundreds of charts made with R, always providing the reproducible code.

R is `GNU S', a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests… · forge, project, site, statistical, please

An easily installable software environment for data science. An interactive book to learn data science (in French, mainly targetting biologists). A series of packages that make R and tidyverse even more friendly. · science, tidyverse, easily, installable, environment

Learn how to create a package, the fundamental unit of shareable, reusable, and reproducible R code.

A system for declaratively creating graphics, based on "The Grammar of Graphics". You provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.

RStudio projects and reproducibility with Quarto Import, wrangle, and summarize data Visualize — plus simple interactivity · data, plus, joining, rstudio, projects

A useR guide to creating highly interactive graphics for exploratory and expository visualization.

A selection of open-source R packages developed and maintained by RStudio for the R community.

RStudio Education helps people achieve data literacy using the R language, tools, and content.

Over 1400 graphs with reproducible code divided in 8 big categories and over 50 chart types, in addition of tools to choose and create colors and color palettes

Welcome | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data.

Go to the Gallery page to see a list of ggplot2 extensions. Submit your ggplot2 extensions so that other R users can easily find them. To do so, simply submit a pull request using these simple instructions. · ggplot2, extensions, submit, gallery, page

What would you like to visualize? What would you like to visualize? · would, like, visualize

datavisyn develops web-basd data visualization solutions for the pharmaceutical industry and biomedical R&D.

Visualization package of the mlr3 ecosystem. It features plots for mlr3 objects such as tasks, learners, predictions, benchmark results, tuning instances and filters via the autoplot() generic of ggplot2. The package draws plots with the viridis color palette and applies the minimal theme. Visualizations include barplots, boxplots, histograms, ROC curves, and Precision-Recall curves.

profvis is a tool for visualizing code profiling data from R. It creates a web page which provides a graphical interface for exploring the data. To run code with profiling, wrap the expression in profvis(). By default… · profvis, web, browser, code, profiling

datavis.social is a community for people interested in Data Visualization and related topics. English is the shared language.

Instructor: Jessica Cooperstone Teaching assistant: Daniel Quiroz Moreno This course aims to introduce students to the principles and practice of data visualization. Students will learn fundamental principles of data… · data, students, principles, visualization, visualizations

Communicate science and statistics with beautiful graphics made with R and ggplot2

Our mission is to make data visual for everyone. Using our simple user interface we empower individuals and organizations to easily create and share beautiful visualizations.

Go to the Gallery page to see a list of ggplot2 extensions. Submit your ggplot2 extensions so that other R users can easily find them. To do so, simply submit a pull request using these simple instructions. · ggplot2, extensions, submit, gallery, page

In this article we share insights and our working process for creating refined color scales for charts and visualizations. A diverse and balanced palette is one of the key components to efficiently communicate… · process, read, article, 2014, interactive

NagVis is a visualization addon for the well known network managment system Nagios. NagVis can be used to visualize Nagios Data, e.g. to display IT processes like a mail system or a network infrastructure.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. The R session information when compiling this book is shown below: We do not add prompts (> and +) to R… · book, text, session, information, code

Welcome to GlioVis : a user friendly web application for data visualization and analysis to explore brain tumors expression datasets. For each dataset it is available a list of common "pre-defined" plots (see the table… · data, plots, explore, dataset, user

vizGPT is an AI data visualization agent that turns your data into interactive charts and analytics dashboards using simple text queries and drag-and-drop.

genoPlotR is a R package to produce reproducible, publication-grade graphics of gene and genome maps. It allows the user to read from usual format such as protein table files and blast results, as well as home-made… · genoplotr, package, lionel, guy, gene

A suite of open source tools for high performance data visualization and computation for the web. The Open Visualization Collaboration Space “OpenVis” is a forum within the OpenJS Foundation to neutrally govern the most comprehensive and widely adopted visualization libraries based on JavaScript and WebGL.

Welcome | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data.

ScienceVisuals provides custom Massive Data analysis, simulation and visualisation solutions, predominantly in the areas of Biomedicine, BioPhysics and Life Sciences in general. ScienceVisuals provides scientifically… · coded, cipher, sciencevisuals, length, link

Human Computer Interaction Lab, University of Saskatchewan SynVisio is an interactive multiscale visualization tool that lets you explore the results of McScanX a popular synteny and collinearity detection toolkit. It… · genome, users, chromosome, visualization, plots

I only need the ggplot2 package but I like to load tidyverse because it includes 8 complimentary packages, including ggplot2. The ggplot2 template is used to identify the dataframe, identify the x and y axis, and define… · ggplot2, names, identify, dataframe, ggplot

The forestplot package now loves the tidyverse! The image is CC by Julie Jablonski. Since initial publishing my forestplot package, dplyr and tidyverse have become evermore dominant in how we think about data and data… · package, tidyverse, image, open, source

Explore the dependency chart for R packages to show other packages that they import, suggest, enhance or depend on.

RJSplot is an R package which enables the generation of interactive graphs. It joins the data analysis power of R and the visualization libraries of JavaScript in one package. Main features of RJSplot are: : · rjsplot, package, enables, generation, interactive

3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)

GTX is an interactive visualization software for dynamic geo-referenced data such as attributed 2D or 3D trajectories of moving objects or geo-referenced network data. Using C++ and modern OpenGL rendering for optimized… · interactive, visualization, data, large, gtx

A set of tools for inspecting and understanding R data structures inspired by str(). Includes ast() for visualizing abstract syntax trees, ref() for showing shared references, cst() for showing call stack trees, and obj_size() for computing object sizes.

On this page, you can find all figures as PDF and PNG files of the book Thomas Rahlf, Data Visualisation with R – 111 Examples (2nd Edition), Cham: Springer Nature 2019, XX, 451 p., four-color print. 19 b/w… · data, illustrations, isbn, 978, 030

Explore Our Learning Offerings Dive into our range of interactive tutorials designed for everyone. From beginner guides to advanced techniques, […]

This websites shows examples of a new type of data visuali­sations called micro visualisations. These graphics can either be small in physical space or also be narrowed in terms of data dimension or points. Read the… · data, here, websites, shows, examples

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DataVizPyR.com: Learn most common graphics, plots, data visualization using Python and R with complete code examples.

Developed by John Coene, Opifex. · developed, john, coene, opifex

We’re a leading Australian content studio, delivering high-end 3D rendering and interactive experiences for property, spatial design, and real estate marketing.