gka

# 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")

gka

# 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)

gka

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):

gka

Force-directed Bubble Charts

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" }, 
   /* ... */
];

gka

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

gka

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 {

gka

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

gka

cd /your/local/path/to/tweet-search/
rm last-results.html
search.py {query}
open last-results.html

gka

#!/usr/bin/env python
import web
import json
from kartograph.kartograph import Kartograph

urls = (
    '/1.0/svg/', 'GenerateSVG',
)

app = web.application(urls, globals())

gka

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