| year | pov_level | income_deficit | |
|---|---|---|---|
| 1992 | 33.5 | 5.9 | |
| 1993 | 31.5 | 5.3 | |
| 1994 | 22.4 | 3.3 | |
| 1995 | 24.7 | 3.8 | |
| 1996 | 22 | 3.1 | |
| 1997 | 20.7 | 2.8 | |
| 1998 | 23.3 | 3.5 | |
| 1999 | 28.3 | 4.8 | |
| 2000 | 29 | 5 |
A spanning tree of the canvas is generated using Prim’s algorithm and then flooded with color. Hue encodes Manhattan distance from the root of the tree. (This is not an optimal visual encoding, but it suffices and is pretty.)
Spanning trees can also be used to generate mazes. See a maze generated with Prim’s algorithm flooded with color, and compare color floods of spanning trees generated with Prim’s algorithm to random traversal, randomized depth-first traversal and Wilson’s algorithm.
A spanning tree of the canvas is generated using random traversal and then flooded with color. Hue encodes Manhattan distance from the root of the tree. (This is not an optimal visual encoding, but it suffices and is pretty.)
Spanning trees can also be used to generate mazes. See a maze generated with randomized depth-first traversal flooded with color, and compare color floods of spanning trees generated by random traversal, Prim’s algorithm, and Wilson’s algorithm.
| """" | |
| The orignal author: Alexer / #python.fi | |
| """ | |
| import opcode | |
| import dis | |
| import sys | |
| import multiprocessing |
| // Support routines for automatically reporting user timing for common analytics platforms | |
| // Currently supports Google Analytics, Boomerang and SOASTA mPulse | |
| // In the case of boomerang, you will need to map the event names you want reported | |
| // to timer names (for mPulse these need to be custom0, custom1, etc) using a global variable: | |
| // rumMapping = {'aft': 'custom0'}; | |
| (function() { | |
| var wtt = function(n, t, b) { | |
| t = Math.round(t); | |
| if (t >= 0 && t < 3600000) { | |
| // Google Analytics |
| """Tool for profiling Cassandra query performance. | |
| Tests are run by profile() multiple times and the 'Read Latency' is | |
| extracted using node tool. | |
| Usage: | |
| #Create the schema using the cassandra-cli. | |
| create keyspace query |
| def filterer(k, DEBUG = False): | |
| def g(): | |
| x = 1; m = yield; | |
| while True: | |
| m = yield (m if x<=k or x%k != 0 else 0) | |
| x += 1 | |
| g = g() | |
| g.next() | |
| def _debug_filterer(x): | |
| res = map(g.send, x) |
| def status_conf(port): | |
| return { | |
| 'name': 'frontikd_{0}'.format(port), | |
| 'response_processor': 'regexp', | |
| 'url': 'http://127.0.0.1:{0}/status/'.format(port), | |
| 'metrics': { | |
| 'served': (r'pages served: (\d+)', 'COUNTER'), | |
| 'http-calls': (r'http reqs made: (\d+)', 'COUNTER'), | |
| } | |
| } |
| #!/usr/bin/env python | |
| #coding: utf-8 | |
| import calendar, datetime, time, itertools | |
| from itertools import cycle, starmap | |
| class ReleaseCal(calendar.HTMLCalendar): | |
| def __init__(self, groups, offset=0, skip_list=None): | |
| super(ReleaseCal, self).__init__() | |
| self.skip_list = skip_list if skip_list is not None else [] |
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: