Your search for
grammar of graphics returned 8 results
Issue 269 - Data Viz
Understanding The Altair Stack
Altair is a Python visualization library that's rooted in the "Grammar of Graphics," like ggplot2. It's related to a few other visualization specifications and libraries, such as Vega-Light, Vega, and D3.js. This is a super useful post that walks-through what they each do, how they're connected, and ultimately, how to best utilize this visualization stack.
Issue 247 - Data Viz
Interactive Visualization Curriculum
This curriculum of notebooks on the Observable platform shows how to use Vega-Lite for an Interactive Grammar of Graphics in the browser. Covers visual encoding, data transformation, interaction, maps, and more. There's also a corresponding collection of notebooks for Python. This is top-notch work from the University of Washington's Interactive Data Lab.
Issue 237 - Data Viz
Express graphics with Plotly
If you haven't used Plotly Express yet, you may not realize that it's inspired by Hadley Wickham’s layered grammar of graphics. That makes it easy to work with and gives users a lot of control, in spite of its terse code. This post shows how that works and includes a variety of examples to get started with.
Issue 189 - Data Viz
12 extensions to ggplot2 for more powerful R visualizations
For R users, ggplot2 is key for data viz and one of R's most widely used packages. It's based on the well-known Grammar of Graphics, which is an awesome foundation but may not always provide what you need. For those times when you need something different, ggplot2 extensions offer additional functionality. This curated collection of extensions is a useful starting point that includes use cases, screenshots and linked references for each extension.
Issue 175 - Data Viz
An Introduction to Altair
Altair is a Python visualization library that's based on the Vega-Lite visualization grammar. Fundamentally, it's rooted in the "Grammar of Graphics," like ggplot2. The results are effective and beautiful and can be created with a minimal amount of code. This set of projects is very well done and this article by Jim Vallandingham is a great starting point.
Issue 121 - Data Viz
Announcing ggraph: A grammar of graphics for relational data
ggraph is an extension of the ggplot2 API that supports relational data such as networks and trees. This article explores key features of the project with links to in-depth tutorials. This is very well done and highly recommended for people creating network based visualizations in R.
Issue 98 - Data Viz
Grammar of Graph Graphics
ggraph is an extension of ggplot2 tailored at plotting graph-like data structures (graphs, networks, trees, hierarchies...). It is not a graph plotting framework that uses ggplot2 underneath, but rather an extension of the ggplot2 API to make sense for graph data.
Issue 13 - Data Viz
ggD3 - grammar of graphics in D3
A grammar of graphics library in D3. Why? Because, "it needs to be done." Awesome! This project is just getting started but definitely worth paying attention to and even better, helping out.
Your search for
grammar of graphics returned 8 results
Issue 269 - Data Viz
Understanding The Altair Stack
Altair is a Python visualization library that's rooted in the "Grammar of Graphics," like ggplot2. It's related to a few other visualization specifications and libraries, such as Vega-Light, Vega, and D3.js. This is a super useful post that walks-through what they each do, how they're connected, and ultimately, how to best utilize this visualization stack.
Issue 247 - Data Viz
Interactive Visualization Curriculum
This curriculum of notebooks on the Observable platform shows how to use Vega-Lite for an Interactive Grammar of Graphics in the browser. Covers visual encoding, data transformation, interaction, maps, and more. There's also a corresponding collection of notebooks for Python. This is top-notch work from the University of Washington's Interactive Data Lab.
Issue 237 - Data Viz
Express graphics with Plotly
If you haven't used Plotly Express yet, you may not realize that it's inspired by Hadley Wickham’s layered grammar of graphics. That makes it easy to work with and gives users a lot of control, in spite of its terse code. This post shows how that works and includes a variety of examples to get started with.
Issue 189 - Data Viz
12 extensions to ggplot2 for more powerful R visualizations
For R users, ggplot2 is key for data viz and one of R's most widely used packages. It's based on the well-known Grammar of Graphics, which is an awesome foundation but may not always provide what you need. For those times when you need something different, ggplot2 extensions offer additional functionality. This curated collection of extensions is a useful starting point that includes use cases, screenshots and linked references for each extension.
Issue 175 - Data Viz
An Introduction to Altair
Altair is a Python visualization library that's based on the Vega-Lite visualization grammar. Fundamentally, it's rooted in the "Grammar of Graphics," like ggplot2. The results are effective and beautiful and can be created with a minimal amount of code. This set of projects is very well done and this article by Jim Vallandingham is a great starting point.
Issue 121 - Data Viz
Announcing ggraph: A grammar of graphics for relational data
ggraph is an extension of the ggplot2 API that supports relational data such as networks and trees. This article explores key features of the project with links to in-depth tutorials. This is very well done and highly recommended for people creating network based visualizations in R.
Issue 98 - Data Viz
Grammar of Graph Graphics
ggraph is an extension of ggplot2 tailored at plotting graph-like data structures (graphs, networks, trees, hierarchies...). It is not a graph plotting framework that uses ggplot2 underneath, but rather an extension of the ggplot2 API to make sense for graph data.
Issue 13 - Data Viz
ggD3 - grammar of graphics in D3
A grammar of graphics library in D3. Why? Because, "it needs to be done." Awesome! This project is just getting started but definitely worth paying attention to and even better, helping out.