Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. We thank the 128 authors for the 337 pull… · matplotlib, easy, things, thank, authors

The tidyverse is an integrated collection of R packages designed to make data science fast, fluid, and fun.

A comprehensive index of R packages and documentation from CRAN, Bioconductor, GitHub and R-Forge.

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

InteractiVenn: interactive Venn diagrams (≤6 large sets) with element counts, percentage views (intersections & exclusive regions), duplicate detection/removal, hierarchical & sequential unions, optimized large-set intersections, SVG/PNG/Excel/.interactivenn export. Data stays local.

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

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

A high-level plotting system, compatible with `ggplot2` objects, maps from `sf`, `terra`, `raster`, `sp`. It is built primarily on the grid package. The objective of the package is to provide a plotting system that is built for speed and modularity. This is useful for quick visualizations when testing code and for plotting multiple figures to the same device from independent sources that may be independent of one another (i.e., different function or modules the create the visualizations).

A familiar and high-level API for data exploration and visualization .hvplot() is a powerful and interactive Pandas-like .plot() API By replacing .plot() with .hvplot() you get an interactive figure. Try it out below! · hvplot, plots, data, interactive, api

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

A variety of plotting capabilities. [source] Image analysis with automated data slicing. 3D graphics: volumetric rendering, surface plots, scatter plots, and isosurfaces. · variety, source, image, data, plots

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

A place for Matplotlib users and developers to meet

Author: Thomas Breloff (@tbreloff) To get started, see the tutorial. Almost everything in Plots is done by specifying plot attributes. · plots, visualization, make, plotting, trade

ScottPlot is a free and open-source plotting library for .NET that makes it easy to interactively display large datasets. Line plots, bar charts, pie graphs, scatter plots, and more can be created with just a few lines of code.

Lets-Plot - a faithful port of R's ggplot2 to Python and Kotlin.

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.

Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seaborn, and Matplotlib. Includes comparison with ggplot2 for R.

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

plotlib supports creating histograms, scatter plots, bar charts, whisker plot and line graphs. All themeable and under your control. plotlib supports SVG outputs as well as a text-based format for quick data analysis on… · plotlib, supports, line, creating, histograms

Provides a framework of tools to summarise, visualise, and explore longitudinal data. It builds upon the tidy time series data frames used in the tsibble package, and is designed to integrate within the tidyverse, and tidyverts (for time series) ecosystems. The methods implemented include calculating features for understanding longitudinal data, including calculating summary statistics such as quantiles, medians, and numeric ranges, sampling individual series, identifying individual series representative of a group, and extending the facet system in ggplot2 to facilitate exploration of samples of data. These methods are fully described in the paper "brolgar: An R package to Browse Over Longitudinal Data Graphically and Analytically in R", Nicholas Tierney, Dianne Cook, Tania Prvan (2020) <

Welcome to the home page of the scientific data plotting software DISLIN. DISLIN is a high-level plotting library for displaying data as curves, polar plots, bar graphs, pie charts, 3D-color plots, surfaces, contours and… · dislin, operating, available, systems, software

The goal of this project is to create a coherent collection of R packages that provide an interface to the Qt application and UI framework, with a focus on enabling GUI development and advanced graphics. The project is… · packages, project, development, should, windows

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

Analysis of Complex Surveys Estimates, tests, models, graphics, for multistage complex surveys · complex, surveys, analysis, estimates, tests

ggvis is a data visualization package for R which lets you: Declaratively describe data graphics with a syntax similar in spirit to ggplot2. Create rich interactive graphics that you can play with locally in Rstudio or… · graphics, browser, web, data, interactive

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

Beautiful plots in your terminal. Contribute to identellica/termplot development by creating an account on GitHub.

A toolbox for working with base types, core R features like the condition system, and core Tidyverse features like tidy evaluation.

A few months ago, we announced that LabPlot had received funding from the NGI Zero Core fund. This was to help us focus on three features we’ve wanted to add for a while: Analysis of Live Data, Python scripting, and more… · labplot, release, analysis, many, data

This portal is designed for both Physics enthusiasts and those eager to learn Python. It contains interactive scripts, step-by-step guides, numerical methods, visualizations and project resources. LaTeX is a powerful… · physics, step, portal, designed, both

A familiar and high-level API for data exploration and visualization .hvplot() is a powerful and interactive Pandas-like .plot() API By replacing .plot() with .hvplot() you get an interactive figure. Try it out below! · hvplot, plots, data, interactive, api

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

An interactive laboratory for research in distributional semantics.

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

…to the companion web site to the books The books introduce the popular, powerful and free programming languages and software packages R, Python or Julia with a focus on the implementation of standard tools and methods… · books, econometrics, same, textbook, python

The goal of tidyplots is to streamline the creation of publication-ready plots for scientific papers. It allows to gradually add, remove and adjust plot components using a consistent and intuitive syntax.

DPlot is a leading graphing and data visualization software tool for scientists, engineers, researchers, or anyone else who is interested in plotting complex data.

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

The R statistical software is provided either as source code or pre-compiled binary files. In the majority of cases the binaries are sufficient but there may be situations where it is necessary to compile the software… · read, rest, entry, posted, ralph

Download — Documentation (FAQ) — Contact — License — Blog Capture and communicate acceptance criteria for software and systems, and how they are verified, in a way that's understood by all project stakeholders, including… · subplot, acceptance, criteria, software, systems

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. We are happy to post the 3-year Research Software… · matplotlib, community, python, easy, things

Pyxplot: A data processing, graph plotting and vector graphics suite

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

A workshop on creating collaborative and automated analysis pipelines Reproducibility and open scientific practices are increasingly in demand and needed by scientists and researchers in modern research environments… · workshop, analysis, scientific, researchers, website