jun9

## points.r
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)
)

## README.md

      
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                jun9
                / README.md
            
            
              Last active
              December 17, 2015 15:29
            
              
                DC.js chart example: Shanghai SSE Composite Index
              
          
    dc.js - Dimensional Charting Javascript Library v1.3.0

The following charts provide a live example of dc.js used against Shanghai SSE Composite Index (000001.SS) for the last 23 years. (You can run this example completely off-line). Although it is just an example, using it you can already ask some quite interesting questions.
Try it out or checkout other examples.

[US Venture Capital Landscape 2011 (choropleth chart, bubble chart)] (http://jun9.github.io/dc.js/vc/index.html)
[Major Canadian City Crime Stats 1998-2011 (bubble overlay, bar chart, line chart)] (http://jun9.github.io/dc.js/crime/index.html)
Snack Dashboard by Jeroen Ooms 


## index.html

<!DOCTYPE html>
<html lang="en">
<head>
    <title>dc.js - Dimensional Charting Javascript Library</title>

    <meta charset="UTF-8">

    <link href="http://jun9.github.io/dc.js/css/bootstrap.min.css" rel="stylesheet">
    <link rel="stylesheet" type="text/css" href="http://jun9.github.io/dc.js/css/dc.css"/>

## README.md

      
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                jun9
                / README.md
            
            
              Created
              May 22, 2013 18:16
                — forked from jasondavies/.block
            
          
    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.

  
## README.md

      
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                jun9
                / README.md
            
            
              Created
              May 22, 2013 18:16
                — forked from mbostock/.block
            
          
    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


## README.md

      
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                jun9
                / README.md
            
            
              Created
              May 22, 2013 18:11
                — forked from mbostock/.block
            
          
    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.

  
## gist:4259182
#!/usr/bin/env python
# -*- coding: utf8 -*-
"""
Comp. Finance Course HW3 : Simulator
"""
import argparse as ap
import datetime as dt
import pandas as pd

import qstkutil.qsdateutil as du

## server.R
library(shiny)
library(gmp)

drawStar <- function(center, length, pts, direction=0, segments=F, colour=F) {
  if(length(pts)==0) return()
  if(segments & (pts[1]==2)) direction <- direction + pi/2
  for(i in 1:pts[1]) {
    point <- center +
      length*c(cos(direction+pi/2+i*2*pi/pts[1]),
               sin(direction+pi/2+i*2*pi/pts[1]))

## README.md

      
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                jun9
                / README.md
            
            
              Created
              November 21, 2012 03:09
                — forked from mbostock/.block
            
              
                Bullet Charts
              
          
    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.

  
## create_php_site.sh
#!/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'
	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)
	)

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<title>dc.js - Dimensional Charting Javascript Library</title>

	<meta charset="UTF-8">

	<link href="http://jun9.github.io/dc.js/css/bootstrap.min.css" rel="stylesheet">
	<link rel="stylesheet" type="text/css" href="http://jun9.github.io/dc.js/css/dc.css"/>
	#!/usr/bin/env python
	# -- coding: utf8 --
	"""
	Comp. Finance Course HW3 : Simulator
	"""
	import argparse as ap
	import datetime as dt
	import pandas as pd

	import qstkutil.qsdateutil as du
	library(shiny)
	library(gmp)

	drawStar <- function(center, length, pts, direction=0, segments=F, colour=F) {
	if(length(pts)==0) return()
	if(segments & (pts[1]==2)) direction <- direction + pi/2
	for(i in 1:pts[1]) {
	point <- center +
	lengthc(cos(direction+pi/2+i2*pi/pts[1]),
	sin(direction+pi/2+i2pi/pts[1]))
	#!/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'