Displaying 1 to 20 from 72 results

plotly - An interactive graphing library for R

  •    R

An R package for creating interactive web graphics via the open source JavaScript graphing library plotly.js.NOTE: The CRAN version of plotly is designed to work with the CRAN version of ggplot2, but at least for the time being, we recommend using the development versions of both plotly and ggplot2 (devtools::install_github("hadley/ggplot2")).

ggthemes - ggplot themes and scales

  •    R

Most of these scales also have associates palettes, as used in the scales package. Contributions are welcome! If you would like to add a theme, scales, etc., fork the repository, add your theme, and submit a pull request.

Gadfly.jl - Crafty statistical graphics for Julia.

  •    Julia

Gadfly is a plotting and data visualization system written in Julia. It's influenced heavily by Leland Wilkinson's book The Grammar of Graphics and Hadley Wickham's refinement of that grammar in ggplot2.

gganimate - A Grammar of Animated Graphics

  •    R

gganimate extends the grammar of graphics as implemented by ggplot2 to include the description of animation. It does this by providing a range of new grammar classes that can be added to the plot object in order to customise how it should change with time. In this example we see the use of transition_time() which can be used with continuous variables such as year. With this transition it is not necessary to provide transition and state length as the "transition variable" provides this directly (e.g. it should take twice as long to transition between 1980 and 1990 compared to 2000 to 2005). We also see the use of string literal interpolation in titles. gganimate lets you specify variables to evaluate inside titles and different transitions provide different type of information to use.

patchwork - The Composer of ggplots

  •    R

The goal of patchwork is to make it ridiculously simple to combine separate ggplots into the same graphic. As such it tries to solve the same problem as gridExtra::grid.arrange() and cowplot::plot_grid but using an API that incites exploration and iteration.

data-science-at-the-command-line - Data Science at the Command Line

  •    HTML

This repository contains the full text, data, scripts, and custom command-line tools used in the book Data Science at the Command Line. The book is licensed under the Creative Commons Attribution-NoDerivatives 4.0 International License. The command-line tools are licensed under the BSD 2-Clause License.

plotly.R - An interactive graphing library for R

  •    R

An R package for creating interactive web graphics via the open source JavaScript graphing library plotly.js. Moreover, since ggplotly() returns a plotly object, you can apply essentially any function from the R package on that object. Some useful ones include layout() (for customizing the layout), add_traces() (and its higher-level add_*() siblings, for example add_polygons(), for adding new traces/data), subplot() (for combining multiple plotly objects), and plotly_json() (for inspecting the underlying JSON sent to plotly.js).

ggrepel - :round_pushpin: Repel overlapping text labels away from each other.

  •    R

Text labels repel away from each other, away from data points, and away from edges of the plotting area. Please submit an issue to report bugs or ask questions.

ggraph - Grammar of Graph Graphics

  •    R

ggraph is an extension of ggplot2 aimed at supporting relational data structures such as networks, graphs, and trees. While it builds upon the foundation of ggplot2 and its API it comes with its own self-contained set of geoms, facets, etc., as well as adding the concept of layouts to the grammar. All of the tree concepts has been discussed in detail in dedicated blog posts that are also available as vignettes in the package. Please refer to these for more information.

hrbrthemes - :lock_with_ink_pen: Opinionated, typographic-centric ggplot2 themes and theme components

  •    R

This is a very focused package that provides typography-centric themes and theme components for ggplot2. It’s a an extract/riff of hrbrmisc created by request. The core theme: theme_ipsum (“ipsum” is Latin for “precise”) uses Arial Narrow which should be installed on practically any modern system, so it’s “free”-ish. This font is condensed, has solid default kerning pairs and geometric numbers. That’s what I consider the “font trifecta” must-have for charts. An additional quality for fonts for charts is that they have a diversity of weights. Arial Narrow (the one on most systems, anyway) does not have said diversity but this quality is not (IMO) a “must have”.

ggalt - :earth_americas: Extra Coordinate Systems, Geoms, Statistical Transformations & Scales for 'ggplot2'

  •    R

A compendium of ‘geoms’, ‘coords’, ‘stats’, scales and fonts for ‘ggplot2’, including splines, 1d and 2d densities, univariate average shifted histograms, a new map coordinate system based on the ‘PROJ.4’-library and the ‘StateFace’ open source font ‘ProPublica’.

ggforce - Accelerating ggplot2

  •    R

ggforce is a package aimed at providing missing functionality to ggplot2 through the extension system introduced with ggplot2 v2.0.0. Broadly speaking ggplot2 has been aimed primarily at explorative data visualization in order to investigate the data at hand, and less at providing utilities for composing custom plots a la D3.js. ggforce is mainly an attempt to address these "shortcoming" (design choices might be a better description). The goal is to provide a repository of geoms, stats, etc. that are as well documented and implemented as the official ones found in ggplot2. The inclusion of any geom, stat, position etc in ggforce is not necessarily a recommendation of their use. ggplot2 has been successful in being opinionated about what functionality should be available. This is good as it insulates the user from making bad decisions when analyzing their data (to a certain degree), but it also makes it difficult to develop novel visualizations using the ggplot2 API. ggforce on the other hand positions itself closer to the "anything goes - the user is responsible for the quality of the output". Be very aware of this responsibility! Bad visualizations lie about, distorts, and obscure the data behind them, both to you and the ones you share your visualizations with.

UpSetR - An R implementation of the UpSet set visualization technique published by Lex, Gehlenborg, et al

  •    R

UpSetR generates static UpSet plots. The UpSet technique visualizes set intersections in a matrix layout and introduces aggregates based on groupings and queries. The matrix layout enables the effective representation of associated data, such as the number of elements in the aggregates and intersections, as well as additional summary statistics derived from subset or element attributes. For further details about the original technique see the UpSet website. You can also check out the UpSetR shiny app. Here is the source code for the shiny wrapper.

ggpage - Creates Page Layout Visualizations in R

  •    R

ggpage is a package to create pagestyled visualizations of text based data. It uses ggplot2 and final returns are ggplot2 objects. In this new version I have worked to include a lot of use cases that wasn’t available in the first version. These new elements are previewed in the vignette.

naniar - Tidy data structures, summaries, and visualisations for missing data

  •    R

For more details on the workflow and theory underpinning naniar, read the vignette Getting started with naniar. For a short primer on the data visualisation available in naniar, read the vignette Gallery of Missing Data Visualisations.

tidybayes - Bayesian analysis + tidy data + geoms (R package)

  •    R

tidybayes is an R package that aims to make it easy to integrate popular Bayesian modeling methods into a tidy data + ggplot workflow. Composing data for use with the model. This often means translating data from a data.frame into a list , making sure factors are encoded as numerical data, adding variables to store the length of indices, etc. This package helps automate these operations using the compose_data function, which automatically handles data types like numeric, logical, factor, and ordinal, and allows easy extensions for converting other datatypes into a format the model understands by providing your own implementation of the generic as_data_list.

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

  •    R

ggsci offers a collection of ggplot2 color palettes inspired by scientific journals, data visualization libraries, science fiction movies, and TV shows. Browse the vignette (or open with vignette("ggsci") in R) for a quick-start guide.

compbench - :hourglass: Benchmark and visualization of various compression algorithms

  •    C++

A benchmark utility to examine and compare various compression algorithms, based on bundle. You will find several plots in the current directory for your perusal. The optional argument prefix sets a file prefix and format defaults to png.

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