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var d3 = require('d3') | |
, _ = require('underscore') | |
, w = window.innerWidth | |
, h = window.innerHeight - 100 | |
, tempo = 500 | |
// , data = { | |
// 'Derek Jeter' : { | |
// '1995' : [12, 48] | |
// , '1996' : [183, 582] | |
// } |
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var d3 = require('d3') | |
, _ = require('underscore') | |
, w = window.innerWidth | |
, h = window.innerHeight - 100 | |
, tempo = 500 | |
// , data = { | |
// 'Derek Jeter' : { | |
// '1995' : [12, 48] | |
// , '1996' : [183, 582] | |
// } |
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var d3 = require('d3') | |
, _ = require('underscore') | |
, w = window.innerWidth | |
, h = window.innerHeight - 100 | |
, tempo = 500 | |
// , data = { | |
// 'Derek Jeter' : { | |
// '1995' : [12, 48] | |
// , '1996' : [183, 582] | |
// } |
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var d3 = require('d3') | |
, _ = require('underscore') | |
, w = window.innerWidth | |
, h = window.innerHeight - 100 | |
, tempo = 500 | |
// , data = { | |
// 'Derek Jeter' : { | |
// '1995' : [12, 48] | |
// , '1996' : [183, 582] | |
// } |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
var d3 = require('d3') | |
, _ = require('underscore') | |
, w = window.innerWidth | |
, h = window.innerHeight - 100 | |
, tempo = 500 | |
// , data = { | |
// 'Derek Jeter' : { | |
// '1995' : [12, 48] | |
// , '1996' : [183, 582] | |
// } |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Country | Visits | Per New Visits | New Visits | Bounce Rate | Pages per Visit | Avg Visit Duration | |
---|---|---|---|---|---|---|---|
United Kingdom | 11472 | 37.89% | 4347 | 48.57% | 2.34 | 00:02:47 | |
United States of America | 855 | 63.04% | 539 | 68.30% | 2.07 | 00:01:54 | |
Germany | 280 | 43.57% | 122 | 47.14% | 2.51 | 00:02:30 | |
Australia | 215 | 58.14% | 125 | 46.98% | 2.77 | 00:03:30 | |
China | 137 | 50.36% | 69 | 56.20% | 2.18 | 00:03:15 | |
Canada | 106 | 70.75% | 75 | 43.40% | 3.16 | 00:04:23 | |
South Africa | 92 | 36.96% | 34 | 23.91% | 3.86 | 00:06:19 | |
Netherlands | 88 | 60.23% | 53 | 53.41% | 3.06 | 00:01:55 | |
Japan | 77 | 53.25% | 41 | 41.56% | 2.92 | 00:02:42 |
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require(gdata) | |
require("RCurl") | |
require("XML") | |
AtcSearch <- function(AtcCodes){ | |
#Function inside a function is bad practice... | |
#DummySearch searches for one atc code | |
DummySearch <- function(Code){ | |
#A link to WHO search |
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setwd("~/Dropbox/Personal/fun with code/sankey_arrow") | |
sourc.https <- function(url, ...) { | |
# install and load the RCurl package | |
if (match('RCurl', nomatch=0, installed.packages()[,1])==0) { | |
install.packages(c("RCurl"), dependencies = TRUE) | |
require(RCurl) | |
} else require(RCurl) | |
# parse and evaluate each .R script |
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SankeyR <- function(inputs, losses, unit, labels, format="plot"){ | |
######################## | |
# SankeyR version 1.01 (updated August 10, 2010) | |
# is a function for creating Sankey Diagrams in R. | |
# See http://www.sankey-diagrams.com for excellent examples of Sankey Diagrams. | |
# | |
# OPTIONS: | |
# 'inputs' is a vector of input values | |
# 'losses' is a vector of loss values | |
# 'unit' is a string of the unit |
We can make this file beautiful and searchable if this error is corrected: It looks like row 6 should actually have 37 columns, instead of 16 in line 5.
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College,Grad_coll,Wine_budget,Fellows,Students,Grads,PhD,Other,Rating,Part_time,Undergrad_applications ,Undergrad_acceptances ,Undergrad_acceptRate,Founded,Percent_male,Percent_female,Fixed_assets,Tompkin_1997,Tompkin_1998,Tompkin_1999,Tompkin_2000,Tompkin_2001,Tompkin_2002,Tompkin_2003,Tompkin_2004,Tompkin_2005,Tompkin_2006,Tompkin_2007,Tompkin_2008,Tompkin_2009,Tompkin_2010,Tompkin_2011,Tompkin_2012,Tompkin_2013,Tompkin_Mean09to13,TompkinsScore_2013,Firsts_2013 | |
Christ's,FALSE,71055,84,617,208,127,81,B,Yes,451,99,22,1505,58,42,66602000,3,2,1,1,1,4,2,2,4,6,2,8,13,12,6,9,8,4.9,66.76,24.7 | |
Churchill,FALSE,87685,165,770,290,190,100,B,Yes,350,89,25,1960,71,29,105978346,15,13,20,15,9,10,9,19,18,13,15,6,7,3,10,5,5,11.3,68.17,28.3 | |
Clare,FALSE,79989,120,816,312,190,122,A,Yes,573,134,23,1326,52,48,70707000,11,6,15,9,6,3,6,4,9,12,17,13,18,8,4,11,11,9.6,66.08,25.3 | |
Clare Hall,TRUE,17400,67,181,181,96,85,B,Yes,,,,1965,47,53,10579203,,,,,,,,,,,,,,,,,,,, | |
Corpus Christi,FALSE,79254,54,483,223,145,78,B,Yes,200,68,34,1352,60,40 |