Odd. The exact same code works for me. This is clojure 1.10/oz 1.4, and
evaluating the whole blob from lighttable.
I had to call (oz/v! line-plot) again to get it to show the figure, rather
then the opening text. And you can leave out the (oz/start-plot-server!). It
will start a server if it needs one.
I guess I have a similar workflow as Christopher, and similar needs in
terms of visualization. I have used vega-lite through vizard and now oz for
about a year now, after trying so many different visualization packages for
clojure (Incanter/JFreechart, C2, quil, gyptis, quil/grafica,
rojure->ggplot2, vizard). Really happy that oz takes vizard further.
vega/vega-lite works really well with clojure.
On Tuesday, December 18, 2018 at 10:12:07 AM UTC+1, Juraj Martinka wrote:
>
> I'd like to try this but got stuck pretty early:
>
> (ns clojure-repl-experiments.visualizations.oz
> (:require [oz.core :as oz]))
>
>
> (oz/start-plot-server!)
>
>
> (defn group-data [& names]
> (apply concat (for [n names]
> (map-indexed (fn [i x] {:x i :y x :col n}) (take 20
> (repeatedly
> #(rand-int 100)))))))
>
>
> (def line-plot
> {:data {:values (group-data "monkey" "slipper" "broom")}
> :encoding {:x {:field "x"}
> :y {:field "y"}
> :color {:field "col" :type "nominal"}}
> :mark "line"})
>
>
> ;; Render the plot to the
> (oz/v! line-plot)
>
>
>
> It has opened a new browser window at http://localhost:10666/ but I see
> nothing only errors in the JS console:
> socket.cljs?rel=1502542805393:64 WebSocket connection to
> 'ws://localhost:3449/figwheel-ws/dev' failed: Error in connection
> establishment: net::ERR_CONNECTION_REFUSED
> figwheel$client$socket$open @ socket.cljs?rel=1502542805393:64
> 10:10:10.089
>
> Does it require some special setup (figwheel)?
>
>
>
>
> On Monday, 17 December 2018 21:41:36 UTC+1, Christopher Small 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:
>>
>> 1. 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.).
>> 2. 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 <http://vega.github.io/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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