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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
@epijim
epijim / index.js
Last active August 29, 2015 14:00
requirebin sketch
var d3 = require('d3')
, _ = require('underscore')
, w = window.innerWidth
, h = window.innerHeight - 100
, tempo = 500
// , data = {
// 'Derek Jeter' : {
// '1995' : [12, 48]
// , '1996' : [183, 582]
// }
@epijim
epijim / index.js
Created April 28, 2014 20:16 — forked from vicapow/index.js
requirebin sketch
var d3 = require('d3')
, _ = require('underscore')
, w = window.innerWidth
, h = window.innerHeight - 100
, tempo = 500
// , data = {
// 'Derek Jeter' : {
// '1995' : [12, 48]
// , '1996' : [183, 582]
// }
@epijim
epijim / index.js
Last active August 29, 2015 14:00
requirebin sketch
var d3 = require('d3')
, _ = require('underscore')
, w = window.innerWidth
, h = window.innerHeight - 100
, tempo = 500
// , data = {
// 'Derek Jeter' : {
// '1995' : [12, 48]
// , '1996' : [183, 582]
// }
var d3 = require('d3')
, _ = require('underscore')
, w = window.innerWidth
, h = window.innerHeight - 100
, tempo = 500
// , data = {
// 'Derek Jeter' : {
// '1995' : [12, 48]
// , '1996' : [183, 582]
// }
@epijim
epijim / index.js
Created April 29, 2014 14:25
requirebin sketch
var d3 = require('d3')
, _ = require('underscore')
, w = window.innerWidth
, h = window.innerHeight - 100
, tempo = 500
// , data = {
// 'Derek Jeter' : {
// '1995' : [12, 48]
// , '1996' : [183, 582]
// }
@epijim
epijim / cam_pubs.csv
Last active August 29, 2015 14:07
Cambridge pubs - scraped from FSA site
name type rating lat lon
Baron Of Beef Pub/bar/nightclub 4 52.209025 0.118255
Bath House Pub/bar/nightclub 4 52.204115 0.11827
Boathouse P.H. Pub/bar/nightclub 4 52.213738 0.124159
BRB The Cow Pub/bar/nightclub 4 52.204222 0.120324
Champion Of The Thames Pub/bar/nightclub 5 52.207309 0.124159
Clarendon Arms Pub/bar/nightclub 5 52.204932 0.127807
Earl of Beaconsfield Pub/bar/nightclub 5 52.198334 0.142623
Earl Of Derby Pub/bar/nightclub 5 52.193371 0.133181
Green Dragon Public House Pub/bar/nightclub 5 52.21817 0.146081
@epijim
epijim / jb_pubdistance.r
Last active August 29, 2015 14:07
Pub distance and TSP solver
jb_pubdistance <- function(
v_pubs=c("The Cambridge Brew House","The Cambridge Blue",
"King Street Run P.H.","The Elm Tree","The Regal"),
v_location="Cambridge, UK",
v_zoom=13,
listpubs=FALSE,
cam_pubs=TRUE,
crow_distances=FALSE,
units="minutes"){
@epijim
epijim / campubdistances.csv
Created October 11, 2014 15:12
Cambridge pub_distances
latlon_1 latlon_2 minutes metres
52.209025,0.118255 52.204115,0.11827 8.5 692
52.209025,0.118255 52.213738,0.124159 9.4 771
52.209025,0.118255 52.204222,0.120324 8.2 658
52.209025,0.118255 52.207309,0.124159 7.8 650
52.209025,0.118255 52.204932,0.127807 13.7 1130
52.209025,0.118255 52.198334,0.142623 28.1 2308
52.209025,0.118255 52.193371,0.133181 25.5 2080
52.209025,0.118255 52.21817,0.146081 30.4 2453
52.209025,0.118255 52.230666,0.138805 41.3 3348
# This is the server logic for a Shiny web application.
#
# Google sheets connection
## prepare the OAuth token and set up the target sheet:
## - do this interactively
## - do this EXACTLY ONCE
# shiny_token <- gs_auth() # authenticate w/ your desired Google identity here