Looks great! The link to examples (https://vega.github.io/examples) 404s.

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> On 17 Dec 2018, at 20:41, Christopher Small <metasoar...@gmail.com> wrote:
> 
> 
> Greetings!
> 
> I'm happy to announce today the release of Oz 1.4.0.
> 
> https://github.com/metasoarous/oz
> 
> If you're on the Slack #datascience channel, you may have already caught wind 
> of some earlier versions. But in the interest of introducing it more broadly, 
> I'm posting an overview here for those of you who aren't familiar. If you are 
> familiar, you may still wish to scroll down to the bottom as there are some 
> new features available in the latest release.
> 
> 
> Vega & Vega-Lite
> 
> Oz is based on the fantastic Vega & Vega-Lite data visualization JS 
> libraries, and so to really understand what Oz has to offer, it's best to 
> start here. Vega & Vega-Lite are based on the seminal Grammar of Graphics, an 
> approach to data visualization which emphasizes writing declarative 
> descriptions of how properties of data should translate to aesthetic 
> attributes of a visualization. This approach guided the design of the R's 
> popular ggplot2 library, and has since influenced numerous libraries in other 
> languages.
> 
> Vega & Vega-Lite take this vision further in two important ways:
> In Vega & Vega-Lite, data visualizations are described using pure data. This 
> makes it more declarative, and confers all the benefits we know and love 
> about data-driven programming in Clojure. For instance, you can send a chunk 
> of Vega or Vega-Lite data over the wire from one program to another 
> effortlessly (as Oz does), and load it up in another process without having 
> to worry about the security concerns of executing someone else's code. The 
> bottom line is that Vega & Vega-Lite are philosophically and technically 
> compatible with "the Clojure way" (IT'S. JUST. DATA.).
> Vega & Vega-Lite take the Grammar of Graphics one step further by introducing 
> a Grammar of Interaction. You can declaratively describe the addition of 
> controls (dropdowns, checkboxes, etc) and interactive properties of the 
> visualization itself (click, hover, etc), and use the data from these 
> interactions to inform other parts of a visualization. For example, you might 
> highlight a set of points in one part of a visualization, and display summary 
> statistics about that selection in another. This is facilitated in part by a 
> general purpose dataflow language as part of the greater spec.
> Vega itself is highly customizable and flexible, but somewhat verbose and not 
> suitable for day to day visualization tasks. Vega-Lite steps in as a somewhat 
> higher level and more automated flavor which itself compiles down to Vega. I 
> have been using them together for a better part of a year now, and can say 
> without reservation that they are amazing. For years I've longed for a 
> ggplot2 from Clojure, and at long last I've found something that to my 
> surprise has not only matched, but truly surpassed the standard bearer. In 
> short, I'm sold.
> 
> If you want to get a better sense of Vega, and Vega-Lite in particular, I'd 
> recommend this great talk from the creators at the Interactive Data Lab at 
> the University of Washington in Seattle: 
> https://www.youtube.com/watch?v=9uaHRWj04D4
> 
> If you're interested in a (mostly) more philosophical look at Vega & 
> Vega-Lite, and their connections to Clojure philosophy, I did a little talk 
> at a local Clojure meetup which you may find interesting: 
> https://www.youtube.com/watch?v=hXq5Bb40zZY&t=815s
> 
> 
> Oz
> 
> Oz itself is a very small and focused library, as most of the work falls on 
> Vega & Vega-Lite. It offers the following features:
> A REPL API for for pushing vega and vega-lite data to a browser window over 
> websockets, for REPL-based data science workflows
> Client side vega and vega-lite Reagent components, for more dynamic usage 
> from ClojureScript apps
> A grammar for composing Vega & Vega-Lite together in the context of html as 
> hiccup, for document and dashboard generation
> Plot/document publishing/sharing features via GitHub gists, the IDL's live 
> vega editor, and the new http://ozviz.io
> The last two features in particular are where Oz really brings some 
> interesting value to the table beyond the role of a minimal wrapper. I have 
> found the ability to create and quickly share visualizations and scientific 
> documents from the comfort of my favorite text editor and REPL a godsend. 
> While the first several years of my programming experience were in notebook 
> environments (Mathematica, MATLAB, Sage, etc), I now find the experience of 
> writing and executing code from a web application a burden. Part of my goal 
> with Oz was to create a viable alternative to this workflow, and so far I've 
> been very pleased. The last piece to this now in place (the ability to share 
> hiccup+vega documents via http://ozviz.io), I'm excited to put this work out 
> more broadly and hear what the community thinks about this approach to the 
> creation and sharing of scientific documents.
> 
> There are some other updates and improvements which those of you familiar 
> with Oz may wish to take a look at in the changelog, included updated Vega* 
> libs, and some smoothing out of the API and UI 
> (https://github.com/metasoarous/oz/blob/master/CHANGELOG.md). Otherwise, 
> please see the project README for up to date information on how to use the 
> library: https://github.com/metasoarous/oz.
> 
> 
> Thanks for your time!
> 
> Chris
> 
> 
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