michalskop’s gists

michalskop / csv2json_sankey.py

Last active January 4, 2016 01:49

Senate Elections 2014, Zlín; Ecological Inference using Regression

	# -- coding: utf-8 --

	# creates json for sankey from matrix row->column
	# 10 -> 3

	import json
	import csv

	# read into data
	out = {}

michalskop / csv2json.php

Last active January 3, 2016 23:19

Senate Elections 2014, Zlín, 2nd Round

	<?php
	//join election results with list of all stations and output lat,lng,results into json
	// we want to get such structure (similar):
	// {"name": "\u00dast\u00ed nad Labem-0", "winner": "Zeman", "coordinates": ["14.036975", "50.660316"], "id": "554804-0", "population": {"p9": "16025", "p6": "21011", etc. }, "party" : {"p1": "Úsvit", etc. }, "names": ["p1": "Talaš ..", etc.}},

	$handle_results = fopen('zlin_stations.csv','r');
	$handle_geo = fopen('okrsky_geo_adj.csv','r');
	$handle_out = fopen('zlin.json','w');

	// read results

michalskop / index.html

Last active January 3, 2016 20:29

Weighted PCA Model in R

We couldn’t find that file to show.

michalskop / csv2json.php

Last active January 2, 2016 23:59

CZ Senate Elections; 2014 (Winners in Polling Station)

	<?php
	//join election results with list of all stations and output lat,lng,results into json
	// we want to get such structure (similar):
	// {"name": "\u00dast\u00ed nad Labem-0", "winner": "Zeman", "coordinates": ["14.036975", "50.660316"], "id": "554804-0", "population": {"p9": "16025", "p6": "21011", etc. }, "party" : {"p1": "Úsvit", etc. }, "names": ["p1": "Talaš ..", etc.}},

	$handle_results = fopen('zlin_stations.csv','r');
	$handle_geo = fopen('okrsky_geo_adj.csv','r');
	$handle_out = fopen('zlin.json','w');

	// read results

michalskop / calc4.py

Last active January 2, 2016 13:19

CZ Presidential Elections: 4+ and 2- votes (stacked chart)

	# -- coding: utf-8 --

	#
	#

	import pickle
	import csv
	import json

	with open("responsesw", 'rb') as f:

michalskop / calc3_2.py

Last active January 2, 2016 10:29

CZ Presidential Elections '13: Voters' transfers (research)

	# -- coding: utf-8 --

	# calculates the transfers, 2 rounds
	# using weights from R

	import json
	import csv

	# read into data
	i = 0

michalskop / cz_president_2013_okrsky_2_ring.json

Last active January 2, 2016 08:39

CZ president. elections '13: Each Polling Station (color saturation)

This file has been truncated, but you can view the full file.

[{"name": "\u00dast\u00ed nad Labem-0", "winner": "Zeman", "coordinates": ["14.036975", "50.660316"], "classname": "zeman", "id": "554804-0", "population": {"p9": "16025", "p6": "21011"}}, {"name": "Praha 3-0", "winner": "Schwarzenberg", "coordinates": ["14.454167", "50.084444"], "classname": "schwarzenberg", "id": "500097-0", "population": {"p9": "21749", "p6": "10244"}}, {"name": "Opava-0", "winner": "Zeman", "coordinates": ["17.90251", "49.938873"], "classname": "zeman", "id": "505927-0", "population": {"p9": "11415", "p6": "15536"}}, {"name": "Plze\u0148 1-0", "winner": "Schwarzenberg", "coordinates": ["13.3714008", "49.7669356"], "classname": "schwarzenberg", "id": "545970-0", "population": {"p9": "11984", "p6": "11443"}}, {"name": "Brno-sever-0", "winner": "Schwarzenberg", "coordinates": ["16.627121", "49.214233"], "classname": "schwarzenberg", "id": "551031-0", "population": {"p9": "12400", "p6": "9926"}}, {"name": "Praha 1-0", "winner": "Schwarzenberg", "coordinates": ["14.411111", "50.086389"], "clas

michalskop / csv2json.py

Last active January 2, 2016 08:28

CZ Presidential Elections '13: Each Polling Station

	# -- coding: utf-8 --

	import json
	import csv
	import string

	data = []
	i = 0
	with open("okrsky_geo_adj.csv","r") as fin:
	finreader = csv.reader(fin)

michalskop / calc2.py

Last active January 1, 2016 14:09

CZ presidential election 2013: instant runoff voting

	# -- coding: utf-8 --

	# calculates 18 groups

	import pickle
	import csv

	with open("responses0", 'rb') as f:
	responses = pickle.load(f)

michalskop / cl_2013_2_ring_bachelet_matthei.json

Last active January 1, 2016 00:19

CL Presidential Elections 2013: 2nd round, Metropolitan area

{"features":[{"id":"1207","winner":"Bachelet","classname":"bachelet","population":{"p6":"69751","p9":"37854"},"coordinates":["-70.5666667","-33.6166667"],"name":"PUENTE ALTO"},{"id":"1160","winner":"Bachelet","classname":"bachelet","population":{"p6":"55859","p9":"34120"},"coordinates":["-70.7666667","-33.5166667"],"name":"MAIPU"},{"id":"1276","winner":"Bachelet","classname":"bachelet","population":{"p6":"50000","p9":"24209"},"coordinates":["-71.65729","-35.430647"],"name":"TALCA"},{"id":"1211","winner":"Bachelet","classname":"bachelet","population":{"p6":"47733","p9":"27729"},"coordinates":["-70.7","-33.5833333"],"name":"SAN BERNARDO"},{"id":"1226","winner":"Bachelet","classname":"bachelet","population":{"p6":"38966","p9":"23653"},"coordinates":["-70.738965","-34.168052"],"name":"RANCAGUA"},{"id":"1307","winner":"Bachelet","classname":"bachelet","population":{"p6":"38291","p9":"22906"},"coordinates":["-72.102423","-36.609354"],"name":"CHILLAN"},{"id":"1425","winner":"Bachelet","classname":"bachelet","populat

Michal Škop michalskop