Boston OpenStreetMap Analysis

Analysis of Boston OpenStreetMap data to explore and curate the Boston Open Street Map:

1. Problems encountered in the map:

• Audit type of tags
• Audit street names
• Audit postal codes
• Audit 'tourism' tags

2. Overview of data:

• Size of the files
• Number of nodes and ways
• Number of unique users
• Top 10 contributing users
• Top 10 tourism types
• Top 10 values and counts in leisure tags and tourism tags that the top contributor had curated
• Maximum number of nodes required for way elements with the top 10 tourism tags

3. Other ideas about the dataset:

• More on curating the street names -- street number in front of the street name
• Looking at 'addr:street' audit as a case study for the Boston OSM quality
• Looking at 'museum' tags as a case study for the Boston OSM quality

All Python codes used for the project are also included in the folder along with the report for the analysis.

Learning objectives

• Python
• SQL
• data wrangling

Getting started

The project was completed with Terminal, Atom and Sqlite