Tableau vs ggvis

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

Tableau is a Business & Commerce solution with tags like data-visualization, business-intelligence, dashboards, data-analysis.

It boasts features such as Drag-and-drop interface for data visualization, Connects to a wide variety of data sources, Interactive dashboards with filtering and drilling down, Mapping and geographic data visualization, Collaboration features like commenting and sharing and pros including Intuitive and easy to learn, Great for ad-hoc analysis without coding, Powerful analytics and calculation engine, Beautiful and customizable visualizations, Can handle large datasets.

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.

Tableau

Tableau

Tableau is a popular business intelligence and data visualization software. It allows users to connect to data, create interactive dashboards and reports, and share insights with others. Tableau makes it easy for anyone to work with data, without needing coding skills.

Categories:
data-visualization business-intelligence dashboards data-analysis

Tableau Features

  1. Drag-and-drop interface for data visualization
  2. Connects to a wide variety of data sources
  3. Interactive dashboards with filtering and drilling down
  4. Mapping and geographic data visualization
  5. Collaboration features like commenting and sharing

Pricing

  • Subscription-Based
  • Pay-As-You-Go

Pros

Intuitive and easy to learn

Great for ad-hoc analysis without coding

Powerful analytics and calculation engine

Beautiful and customizable visualizations

Can handle large datasets

Cons

Steep learning curve for advanced features

Limited customization compared to coding

Not ideal for statistical/predictive modeling

Can be expensive for large deployments

Limited mobile/offline functionality


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:
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