dc.js vs ggvis

Struggling to choose between dc.js and ggvis? Both products offer unique advantages, making it a tough decision.

dc.js is a Data Visualization solution with tags like data-visualization, dimensional-data, creative-charts, diagramming.

It boasts features such as Dimensional charting, Visual analysis, Fast and efficient manipulation of dimensionally-reduced data, Creative chart and diagram production and pros including Open source and free to use, Lightweight and easy to integrate, Good documentation and examples, Active community support, Powerful data visualization capabilities.

On the other hand, ggvis is a Data Visualization product tagged with r, ggplot2, interactive, data-visualization, graphics, web-browser.

Its standout features include Grammar of Graphics-based visualization using the ggplot2 API, Interactivity through linking graphical elements to data, Built on top of Shiny for reactive programming, Can embed plots in R Markdown documents and Shiny apps, Supports faceting, zooming, panning, etc., Exporting plots to SVG and PNG format, and it shines with pros like Leverages ggplot2 syntax for easy plotting, Interactivity enables exploration of data, Tight integration with Shiny apps, Can create standalone visualizations to embed in web pages.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

dc.js

dc.js

dc.js is a JavaScript library for dimensional charting and visual analysis. It allows fast and efficient manipulation of dimensionally-reduced data and production of creative charts and diagrams.

Categories:
Data Visualization Javascript Libraries
data-visualization dimensional-data creative-charts diagramming

Dc.js Features

  1. Dimensional charting
  2. Visual analysis
  3. Fast and efficient manipulation of dimensionally-reduced data
  4. Creative chart and diagram production

Pricing

  • Open Source

Pros

Open source and free to use

Lightweight and easy to integrate

Good documentation and examples

Active community support

Powerful data visualization capabilities

Cons

Steep learning curve

Limited built-in chart types

Not suitable for very large or high-dimensional datasets

Lacks some advanced customization options

ggvis

ggvis

ggvis is an R package for creating interactive data visualizations and graphics in a web browser. It builds on the popular ggplot2 package but allows users to add interactivity, make visualizations reusable, and embed them in web pages.

Categories:
Data Visualization Interactive Graphics
r ggplot2 interactive data-visualization graphics web-browser

Ggvis Features

  1. Grammar of Graphics-based visualization using the ggplot2 API
  2. Interactivity through linking graphical elements to data
  3. Built on top of Shiny for reactive programming
  4. Can embed plots in R Markdown documents and Shiny apps
  5. Supports faceting, zooming, panning, etc.
  6. Exporting plots to SVG and PNG format

Pricing

  • Open Source

Pros

Leverages ggplot2 syntax for easy plotting

Interactivity enables exploration of data

Tight integration with Shiny apps

Can create standalone visualizations to embed in web pages

Cons

Limited adoption compared to static ggplot2

Interactivity requires knowledge of reactivity in Shiny

Less customizable than D3.js for web-based graphics