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{\rtf1\ansi\ansicpg1252\cocoartf1561\cocoasubrtf200 {\fonttbl\f0\fswiss\fcharset0 Helvetica;\f1\froman\fcharset0 Times-Roman;} {\colortbl;\red255\green255\blue255;} {\*\expandedcolortbl;;} \margl1440\margr1440\vieww28600\viewh15300\viewkind0 \pard\tx720\tx1440\tx2160\tx2880\tx3600\tx4320\tx5040\tx5760\tx6480\tx7200\tx7920\tx8640\pardirnatural\partightenfactor0 \f0\fs24 \cf0 \ 1. \f1 A PDF containing answers to questions, link of OSM and why the area was chosen.\ \ 2. The following python files were included\ Parsing.py : code for parsing and auditing street names\ sample_atlanta.py : sample file of atlanta_georgia.osm where k = 1000\ AuditPostalCode.py : Auditing postal codes\ AuditStreetName.py : Auditing street names \ sample.osm : Sample OSM file\ IterativeParsing.py : Displays number and type of tags in OSM\ \ \ 3. Resources:\ {\field{\*\fldinst{HYPERLINK "https://gist.github.com/carlward/54ec1c91b62a5f911c42#file-sample_project-md"}}{\fldrslt SQL Sample Project}}(Github)\ }
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