jun9

Neural Network XOR

Widget Menagerie

This parallel coordinates visualization of cars from the ‘70s and ‘80s demonstrates one of D3 2.5.0’s new interactive features: the brush component. By clicking and dragging along any axis, you can specify a filter for that dimension. The brush component is also used in the updated scatterplot matrix example.

The first 15 seconds of the D3 show reel. See full video at http://vimeo.com/29862153. Includes seamless transitions between the following visualization types:

lines
horizons
areas
stacked areas
streamgraph
overlapping areas
grouped bars
stacked bars

The scatterplot matrix visualizations pairwise correlations for multi-dimensional data; each cell in the matrix is a scatterplot. This example uses Anderson's data of iris flowers on the Gaspé Peninsula. Scatterplot matrix design invented by J. A. Hartigan; see also R and GGobi. Data on Iris flowers collected by Edgar Anderson and published by Ronald Fisher.

	#!/usr/bin/env bash
	set -e
	# This script converts any text file into a mp3 audiobook using the MacOS
	# text-to-speech accessibility command-line tool `say`.
	# Adjust the `VOICE` and `RATE` parameters to customize to your liking:
	VOICE="Alex"
	RATE="295" # pretty fast


	if [ $# -eq 0 ]; then

	#!/usr/bin/env bash

	if [ -z "$1" ]
	then
	echo "$0 client-name"
	exit 1
	fi

	<!DOCTYPE html>
	<html>
	<head>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.6/d3.min.js"></script>
	<script src="https://code.jquery.com/jquery-1.11.3.js"></script>
	<script src="http://modernizr.com/downloads/modernizr-latest.js"></script>
	<meta charset="utf-8">
	<title>JS Bin</title>
	<style id="jsbin-css">
	table.oct {

	library(ggplot2)
	library(scales)
	library(maps)
	library(plyr)

	mid_range <- function(x) mean(range(x, na.rm = TRUE))
	centres <- ddply(county_df, c("state", "county"), summarise,
	lat = mid_range(lat),
	long = mid_range(long)
	)