Bret Kim chitacan

By create large random datasets, we can create charts that adapt and react to any dataset. This bl.ock allows users to generate any desired number of lines and any desired number of points and see the response of the chart change over time.

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

So you're curious in learning this new thing called (Functional) Reactive Programming (FRP).

Learning it is hard, even harder by the lack of good material. When I started, I tried looking for tutorials. I found only a handful of practical guides, but they just scratched the surface and never tackled the challenge of building the whole architecture around it. Library documentations often don't help when you're trying to understand some function. I mean, honestly, look at this:

Rx.Observable.prototype.flatMapLatest(selector, [thisArg])

Projects each element of an observable sequence into a new sequence of observable sequences by incorporating the element's index and then transforms an observable sequence of observable sequences into an observable sequence producing values only from the most recent observable sequence.

This diagram shows the distribution of age groups in the United States over the last 150 years. Use the arrow keys to observe the changing population. Data from the Minnesota Population Center. Use the arrow keys to change the displayed year. The blue bars are the male population for each five-year age bracket, while the pink bars are the female population; the bars are partially transparent so that you can see how they overlap, unlike the traditional side-by-side display which makes it difficult to compare the relative distribution of the sexes.

Ian Johnson and I implemented this graphic for fun.

This example builds a random tree using the Reingold-Tilford "tidy" algorithm, as described in "Tidier Drawings of Trees" and implemented by d3.layout.tree. As each node is added to the graph, it enters from the previous position of the parent node. Thus, the existing nodes and the new node transition smoothly to their new positions. The animation stops when 500 nodes have been added to the tree.

Click in the open space to add a node, drag from one node to another to add an edge.
Ctrl-drag a node to move the graph layout.
Click a node or an edge to select it.

When a node is selected: R toggles reflexivity, Delete removes the node.
When an edge is selected: L(eft), R(ight), B(oth) change direction, Delete removes the edge.

To see this example as part of a larger project, check out Modal Logic Playground!

A line chart with mouseover so that you can read the y-value based on the closest x-value. The x-value is found using d3.mouse and scale.invert. The y-value is then found by bisecting the data.

	# Hello, and welcome to makefile basics.
	#
	# You will learn why `make` is so great, and why, despite its "weird" syntax,
	# it is actually a highly expressive, efficient, and powerful way to build
	# programs.
	#
	# Once you're done here, go to
	# http://www.gnu.org/software/make/manual/make.html
	# to learn SOOOO much more.

	<!doctype html>
	<html lang="ja">
	<head>
	<meta charset="UTF-8">
	<title>Line Chart</title>
	<style>

	.axis path,
	.axis line{
	fill: none;

	<html>
	<head>
	<title>Animated Sparkline using SVG Path and d3.js</title>
	<script src="http://mbostock.github.com/d3/d3.v2.js"></script>
	<style>
	/* tell the SVG path to be a thin blue line without any area fill */
	path {
	stroke: steelblue;
	stroke-width: 1;
	fill: none;