Joe Germuska JoeGermuska

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Remove Great Lakes and other water from Congressional districts shapefile

The problem

You want the most up-to-date shapefile of Congressional districts, but you don't want Michigan to be a giant blob.

(The Census Bureau offers some cartographic boundary shapefiles without this problem, but they aren't always the most current.)

I had a repo with dozens of abandoned or merged remote branches. Before deleting them wholesale, I wanted to know just how old they were.

I adapted this Stack Overflow answer, but dressed it up in a for loop since I wanted all of them. Also, since I wanted to sort them, I switched the date format to %cs (Short ISO), which didn't work in git 2.18.0 but does work in 2.28.0

	#!/bin/bash
	# Requires, gdal, wget, spatialite, R with (maptools, RColorBrewer, classInt)
	# You should be able to put any state/county combination in here and get a map made
	# Replace spaces with an underscore ie:
	#state=New_York
	#county=New_York
	#
	#state=ILLINOIS
	#county=Cook
	#

	import csv, os.path
	import os
	import httplib, base64
	import getpass

	username = raw_input("Username:")
	password = getpass.getpass("Password:")
	subdomain = raw_input("Subdomain:")
	project = raw_input("Project id:")
	filename = raw_input("Tickets file:")

	#!/usr/bin/env python
	import csv
	import json
	r = csv.reader(open("data.csv"))
	headers = r.next()
	countries = headers[1:]

	def saveData(output):
	filename = "ranked"
	print "Writing JSON output to %s.json" % filename

	# File # 1
	# https://drive.google.com/open?id=1Lhz23JP4gRW4p_01D7OzaL60CT1wfem-

	# File # 2
	# https://drive.google.com/open?id=1XOWD8COTdDx30HNLZgrp57WzWUGOtaKA

	# NOTE: To load data, you must download both the extract's data and the DDI
	# and also set the working directory to the folder with these files (or change the path below).

	#install.packages("tidyverse")