| # load csv | |
| contr <- read.csv("fec-contr.csv") | |
| # convert date column to R date type | |
| contr$date <- strptime(as.character(contr$contb_receipt_dt), "%Y-%m-%dT%H:%M:%SZ") | |
| plot(date,contb_receipt_amt,axes=F,col=color,cex=.7,ylab="",xlab="",main="Contributions in 2011") | |
| # add time axis | |
| axis(2, las=2, cex.axis=0.65) | |
| axis.POSIXct(1, las=2, at=seq(as.Date("2011/1/1"), as.Date("2012/01/01"), by="month"), cex=0.65, cex.axis=0.65, format="%b") |
| # you need to run https://gist.github.com/1816161 first | |
| comm = subset(contr, form_tp=="SA18") | |
| plot(comm$date, comm$contb_receipt_amt, log='y', col=comm$color, axes=F, xlab="", ylab="", main="Contributions by Authorized Committees (log scale)", cex=.65) | |
| axis.POSIXct(1, las=2, at=seq(min(comm$date), as.POSIXct("2012/01/02"), by="month"), cex=0.65, cex.axis=0.65, format="%b") | |
| options(scipen=10) |
| import csv, codecs, cStringIO | |
| class UTF8Recoder: | |
| """ | |
| Iterator that reads an encoded stream and reencodes the input to UTF-8 | |
| """ | |
| def __init__(self, f, encoding): | |
| self.reader = codecs.getreader(encoding)(f) | |
| def __iter__(self): |
Proposal for a simple force-directed bubble chart library. The visualization would show a set of bubbles which try to move towards a (definable) center of gravity. The library would try to render the bubbles using whatever technology is supported by the client (canvas, svg, flash).
var items = [
{ amount: 12345.67, label: "Foo", id: "foo", color: "#345" },
/* ... */
];| from bs4 import BeautifulSoup | |
| import requests | |
| url = "https://www.cia.gov/library/publications/the-world-factbook/rankorder/2119rank.html" | |
| s = BeautifulSoup(requests.get(url).text) | |
| for o in s.find(id='countryCode').find_all('option'): | |
| code = o.get('value') | |
| name = o.get_text() | |
| print code, name |
| var page = new WebPage(), | |
| url = "http://kartograph.org/showcase/italia/", | |
| output = "italia.pdf"; | |
| page.viewportSize = { width: 1100, height: 750 }; | |
| page.open(url, function (status) { | |
| if (status !== 'success') { | |
| console.log('Unable to load the address!'); | |
| } else { |
var data = {
a: [1,2,3,2,2,3,4,5,6],
b: [5,3,2,3,5,null,2,1,1,2]
};
linechart.create({
container: '#chart',
size: [500,300],
data: data, // lots of numbers
| cd /your/local/path/to/tweet-search/ | |
| rm last-results.html | |
| search.py {query} | |
| open last-results.html |
| #!/usr/bin/env python | |
| import web | |
| import json | |
| from kartograph.kartograph import Kartograph | |
| urls = ( | |
| '/1.0/svg/', 'GenerateSVG', | |
| ) | |
| app = web.application(urls, globals()) |
| Year,Jan,Feb,Mar,Apr,May,Jun,Jul,Aug,Sep,Oct,Nov,Dec,Total | |
| 1950,3091.48387097,3266.96428571,3325.90322581,3187.86666667,3160.58064516,3078.7,2958.09677419,2885.80645161,3056.83333333,2943.70967742,2912.8,2864.74193548,3059.45479452 | |
| 1951,3029.5483871,3181.71428571,3210.74193548,3142.96666667,3196.41935484,3087.1,3017.0,2929.35483871,3022.56666667,2884.61290323,2806.4,2878.16129032,3031.17808219 | |
| 1952,3072.0,3223.24137931,3268.4516129,3181.03333333,3115.93548387,2994.03333333,2973.5483871,2865.29032258,3070.0,2807.74193548,2860.5,2814.5483871,3027.62739726 | |
| 1953,3052.90322581,3175.96428571,3248.19354839,3163.06666667,3142.83870968,3039.6,2975.5483871,2856.61290323,3061.5,2774.12903226,2679.63333333,2846.16129032,3000.07945205 | |
| 1954,3074.06451613,3238.64285714,3172.93548387,3180.3,3243.35483871,3096.2,3021.51612903,2930.4516129,3054.9,2781.06451613,2848.86666667,2862.19354839,3040.39178082 | |
| 1955,3058.03225806,3235.96428571,3286.93548387,3178.4,3151.77419355,3104.63333333,2988.51612903,2933.41935484,3064.06666667,287 |