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C2: Clojure(Script) data visualization (keminglabs.com)
109 points by DanielRibeiro 1123 days ago | 21 comments



github: https://github.com/lynaghk/c2

video intro: http://www.youtube.com/watch?feature=player_detailpage&v...

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Agreed, weird to say this to a lisper as you guys are all about the elegance etc, but you should really take a leaf out of some JS library authors' books.

http://oesmith.github.com/morris.js http://humblesoftware.com/flotr2#!basic http://wijmo.com/widgets/

You seem to have mixed some nice 'magic' (i.e. enough magic to draw a somewhat beautiful map of the United States, and your very interesting theming feature) with some very odd low-level stuff, e.g.

':path.state {:d (geo->svg (get states state-name) :projection proj'

What is that about? Why should I have to know about those things?

Also I think you should seriously consider factoring your styles out of your ClojureScript, that's what CSS is for. i.e. this stuff:

[:div {:style (style {:height bar-height ... :background-color "gray"})} [:span {:style "color: white;"} label]]))])

... should no more be written in ClojureScript than it should be written in JavaScript. That's CSS's domain.

You will reap the rewards (first simple win being able to tweak and experiment with styles in Chrome's dev tools) if you start using CSS classes to define your styles.

Apart from that it's very interesting work and you clearly have an eye for beauty, look forward to seeing more.

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Just a little info on this, this is not a charting library, it's probably closer to a graphics or visualization library.

It pulls a lot of it's ideas from d3.js, allowing CSS to dictate a lot of your style choices, but also allowing the data to change the style (a typical example is a chart where you have different categories of data, coloring those categories depending on the data).

This is low level for a reason, most charting libraries take a specific stance on how to visualize something. d3 and c2 let that be dictated entirely by the developer. It may take more effort to get a bar chart working in either of these libraries but generally the control you have allows you to fit it into your design rather than your design molding around the charting library you use.

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Okay, interesting. I perhaps don't understand enough about the syntax to appreciate why those lower-level constructs would be beneficial w.r.t the geo stuff.

On the styling sure, data should often dictate the style in visualisations - the most noddy example people tend to give in JS as the exception to the rule of never 'programatically' (JS) setting styles is the progress bar where the width has to be data-based (as CSS-classes only make sense for discrete increments or 'states'). Of course the same applies for colouring/shading and sizing based on say population data or whatever is being modeled in a visualisation, I get that.

But, in the example on the first page the bars of the histogram are all explicitly coloured gray w/ white text programatically and the bar heights are manually set to '20' (presumably px). What would make more sense is for them to have a default class of say 'hist-bar-default', which is set in CSS to { height: 20px; background: gray; color: white }. If anything it would just make the example simpler as it actually muddles up the code where the widths are being dynamically set. shrug

Edit: btw, you will see that d3.js does this, it applies classes where appropriate rather than setting styles explicitly: http://mbostock.github.com/d3/ex/cartogram.html

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This is more of a choice of how the creator wanted to display the usefulness of C2. That can just as easily be done with C2.

[:div {:class "hist-bar-default"}] would likely be the way to do it.

Also d3.js examples are riddled with bars.attr("style", "height: " + 30px) just because sometimes it's easier to think about it while developing there. It's not maintainable and very problematic in large designs but I would recommend not judging a library based off of design choices like that with examples of d3 or c2.

I'm glad you're passionate about visualization though, you should definitely start using these libraries, and after a while (d3.js has been said to "melt your brain initially) you'll realize the benefits of working at a lower level with the data.

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I agree with you 100% re: mixing generic styling (i.e., the bar height/color) with the actual data-driven attributes (the bar width). The styling is just inlined in these demos because I wanted something that worked immediately out of the box from a single file. In production we use SASS to generate CSS styles for visualizations.

The question of how to separate data-driven attributes (the top/left positions for points on a scatterplot) vs. incidental layout considerations (the ordering of bars on a bar chart or grid positions of small multiples) is something I've been thinking about for some time. Ideally I can use C2 for the former and something like constraint solvers for the latter. See:

https://github.com/lynaghk/cassowary-cljs-demo/blob/master/s...

Getting everything tided up for public release was actually on my agenda for this weekend, but someone found the github and posted to HN early =P

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Ah great, good to hear it! And yes using SASS sounds like a definite win :)

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If you want to render the generated SVG in <IE9 via svgweb, then inline styles are the only way to go, because svgweb doesnt support style sheets.

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OK, so I've looked at a few of the code samples and my biggest recommendation is that you include some higher level functions which can be customized. Compare the very simple histogram on the front page and the code used to make it with the code to make a histogram in R. Graphics is something R does right. The equivalent code in R:

>> vals = read.csv('somedata.csv')

>> hist(vals)

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C2 isn't a charting library; it's a collection of composable primitives for building statistical graphics. There are some built in helpers---scales, axis templates, and the tick-selection algorithm---that would make it pretty easy to build exactly the histogram graphic you want.

If you want to pick from a menu of fixed data graphics, though, HighCharts, R's ggplot, or Tableau are much better choices than C2.

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Take another look at ggplot2; it's exactly the "collection of composable primitives for building statistical graphs" that you mention; but it also gives you some higher level functions that give you a starting point that you can then customize.

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I've talked with Hadley about this at length = )

There's a benefit to working in Hadley's / Wilkinson's grammar, but the tradeoff is that it obscures the underlying DOM representation (or R's graphics subsystem, as the case may be).

ggplot is for analysts, and c2 is for web devs and hackers.

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At the risk of being slightly off-topic, does anyone know a name for the color scheme used in the code samples? It's quite pretty.

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It's Twilight:

http://keminglabs.com/css/twilight.css

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Hey Kevin, what led you deprecate cljs-d3 in favor of C2? In your Clojure conj talk, you mentioned a JS implementation change caused your code to break. Was that the main motivation, or where there other reasons?

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We needed it working on the JVM.

Also, it wasn't clear how to wrap D3's functions in a consistent way w.r.t. data handling. For instance, D3 has a histogram calculator that will bin your data--should that return a Clojure map/vector (so you can use those densities in ClojureScript) or should it return the plain JavaScript construct (so you can pass directly to other D3 functions).

It wasn't something that I thought much about at first, but the DOM-representation as hiccup vectors instead of chained syntax is a huge win because it makes mapping data to hierarchies much easier than in D3.

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Your demo video is very awesome - short, easy to follow, clear instructions! The library looks pretty cool!

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Wish there were a bit more instructions on how to get it running using lein2 / project.clj. Maybe that happens this weekend :-). I am a bit at a loss how to start the webserver used by c2 (and if its even included) from within emacs/slime/swank.

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There's no webserver built into C2. The visual REPL is a separate (toy) project.

To use within Clojure, just add c2 to your deps as usual and then

    (ns your-ns
      (:use [c2.core :only [unify!]]))
Use from within ClojureScript is pretty much the same. Checkout

https://github.com/lynaghk/cassowary-cljs-demo

for a rough demo.

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Great stuff Kevin!

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Great stuff

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