Ian Rees irees

## areas.geojson

      
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## cta frequency
   id    | route_short_name |         route_long_name          | headway_mins
---------+------------------+----------------------------------+--------------
 1128053 |                  | Red Line                         |            5
 1127999 | 79               | 79th                             |            5
 1127997 | 77               | Belmont                          |            6
 1128049 | 172              | U. of Chicago/Kenwood            |            6
 1127945 | 20               | Madison                          |            6
 1128034 | 134              | Stockton/LaSalle Express         |            6
 1128037 | 143              | Stockton/Michigan Express        |            7
 1128056 |                  | Blue Line                        |            7

## starbucks.py
#!/usr/bin/env python
import sys
import os
import json
import random

MIN_DISTANCE = 0.0
MAX_DISTANCE = 1000000.0
MAX_SAMPLE = 1000000

## starbucks.geojson

      
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              April 10, 2018 04:33
            
          
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## starbucks.geojson

      
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              April 10, 2018 04:04
            
          
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## caltrain-stats.json
{
	"agency.txt": {
		"agency_name": {
			"total": 1,
			"unique": 1,
			"min": "Caltrain",
			"max": "Caltrain"
		},
		"agency_url": {
			"total": 1,

## colors.js
// Inspired by https://github.com/cooperhewitt/py-cooperhewitt-swatchbook
RGBColor = function(r, g, b, name) {
  this.r = r;
  this.g = g;
  this.b = b;
  this.name = name;
};
RGBColor.from_hex = function (hex, name) {
  hex = hex.replace('#','');
  return new RGBColor(

## cleveland-rta-2016-03-07-10am-2pm.geojson

      
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                / cleveland-rta-2016-03-07-10am-2pm.geojson
            
            
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              March 11, 2016 23:11
            
          
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## cleveland-rta-2016-03-07-6am-9am.geojson

      
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              March 11, 2016 23:03
            
          
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## transitland_route_colors.py
import json
import urllib2
import colorsys

import cooperhewitt.swatchbook.crayola
palette = cooperhewitt.swatchbook.crayola.palette()

url = "http://transit.land/api/v1/routes.json?vehicle_type=metro&per_page=1000"

###
	id \| route_short_name \| route_long_name \| headway_mins
	---------+------------------+----------------------------------+--------------
	1128053 \| \| Red Line \| 5
	1127999 \| 79 \| 79th \| 5
	1127997 \| 77 \| Belmont \| 6
	1128049 \| 172 \| U. of Chicago/Kenwood \| 6
	1127945 \| 20 \| Madison \| 6
	1128034 \| 134 \| Stockton/LaSalle Express \| 6
	1128037 \| 143 \| Stockton/Michigan Express \| 7
	1128056 \| \| Blue Line \| 7
	#!/usr/bin/env python
	import sys
	import os
	import json
	import random

	MIN_DISTANCE = 0.0
	MAX_DISTANCE = 1000000.0
	MAX_SAMPLE = 1000000
	{
	"agency.txt": {
	"agency_name": {
	"total": 1,
	"unique": 1,
	"min": "Caltrain",
	"max": "Caltrain"
	},
	"agency_url": {
	"total": 1,
	// Inspired by https://github.com/cooperhewitt/py-cooperhewitt-swatchbook
	RGBColor = function(r, g, b, name) {
	this.r = r;
	this.g = g;
	this.b = b;
	this.name = name;
	};
	RGBColor.from_hex = function (hex, name) {
	hex = hex.replace('#','');
	return new RGBColor(
	import json
	import urllib2
	import colorsys

	import cooperhewitt.swatchbook.crayola
	palette = cooperhewitt.swatchbook.crayola.palette()

	url = "http://transit.land/api/v1/routes.json?vehicle_type=metro&per_page=1000"

	###