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
>
>
>
--
You received this message because you are subscribed to the Google
Groups "Clojure" group.
To post to this group, send email to clojure@googlegroups.com
Note that posts from new members are moderated - please be patient with your
first post.
To unsubscribe from this group, send email to
clojure+unsubscr...@googlegroups.com
For more options, visit this group at
http://groups.google.com/group/clojure?hl=en
---
You received this message because you are subscribed to the Google Groups
"Clojure" group.
To unsubscribe from this group and stop receiving emails from it, send an email
to clojure+unsubscr...@googlegroups.com.
For more options, visit https://groups.google.com/d/optout.
