Designed by Stephen Few, a bullet chart “provides a rich display of data in a small space.” A variation on a bar chart, bullet charts compare a given quantitative measure (such as profit or revenue) against qualitative ranges (e.g., poor, satisfactory, good) and related markers (e.g., the same measure a year ago). Layout inspired by Stephen Few. Implementation based on work by Clint Ivy, Jamie Love of N-Squared Software and Jason Davies. The "update" button randomizes the values slightly to demonstrate transitions.
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#!/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 |
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#!/bin/bash | |
# @author: Seb Dangerfield | |
# http://www.sebdangerfield.me.uk/?p=513 | |
# Created: 11/08/2011 | |
# Modified: 07/01/2012 | |
# Modified: 17/05/2012 | |
# Modify the following to match your system | |
NGINX_CONFIG='/etc/nginx/sites-available' | |
NGINX_SITES_ENABLED='/etc/nginx/sites-enabled' |
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#!/usr/bin/env bash | |
if [ -z "$1" ] | |
then | |
echo "$0 client-name" | |
exit 1 | |
fi | |
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<!DOCTYPE html> | |
<html> | |
<head> | |
<meta charset="utf-8"> | |
<meta name="viewport" content="width=device-width"> | |
<title>JS Bin</title> | |
</head> | |
<body> | |
<h1> | |
<ruby>我<rt>diāo</rt></ruby> |
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<!DOCTYPE html> | |
<html> | |
<head> | |
<meta charset="utf-8"> | |
<meta name="viewport" content="width=device-width"> | |
<title>JS Bin</title> | |
<style id="jsbin-css"> | |
.sample-form-document { | |
background: #fff; | |
max-width: 615px; |
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<!DOCTYPE html> | |
<html> | |
<head> | |
<meta charset="utf-8"> | |
<meta name="viewport" content="width=device-width"> | |
<title>JS Bin</title> | |
<style id="jsbin-css"> | |
body { | |
background: black; | |
} |
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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) | |
) |
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