#Data Wrangling with MongoDB Final Project

Table of Contents

• audit.py: Audits street names in database returning irregular names
• data.py: Cleans and shapes a JSON file given an OSM XML file
• mapparser.py: Creates a dictionary of top-level tags and their counts
• osm_sampler.py: Samples the large .osm file, returning a more managable file
• queries.py: Query the database for summary statistics and number of parks, universities, and embassies
• sampled_dc.json: Reduced size JSON file
• sampled_dc.osm: Reduced size OSM XML file
• tags.py: Creates a dictionary with tags that have problematic names
• users.py: Analyzes how many users have edited the OSM file