Hi Juraj
The code you pasted *should* work. If you're still having trouble with
this, please raise a GH issue with all pertinent system/setup details so we
can sort it out there: https://github.com/metasoarous/oz/issues.
I can say that sometimes it takes a while for the websocket connection to
establish, and the exact time may depend a bit on machine details. This is
what Boris is getting at about having to to call `(oz/v! ...)` again
(Thanks for chiming in Boris!). The first thing to try is to just wait a
bit longer after calling `(oz/start-plot-server!)`, and try reevaluating
`(oz/v line-plot)`.
Oh... one last thing to check. If you had tried an older version of oz
prior to this and are just hoping to check out the updates (which I'm
wondering about in part because I see you're running the old example code,
though you could have gotten that from the video), it might be worth
running `lein clean` in case this is a problem with a stale build target.
Thanks!
Chris
On Tue, Dec 18, 2018 at 4:45 AM <boris.sch...@gmail.com> wrote:
> 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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