Data analysis from openstreetmap of mumbai
The goal of this project was to use data munging techniques, such as assessing the quality of the data for validity, accuracy, completeness, consistency and uniformity, to clean the OpenStreetMap data for mumbai,India.
Assess the quality of the data for validity, accuracy, completeness, consistency and uniformity. Parsing and gather data from popular file formats such as .json, .xml, .csv, .html. Process data from many files and very large files that can be cleaned with spreadsheet programs. Learn how to store, query, and aggregate data using SQL.
This project was created in conjunction with the Data Analytics Nanodegree through Udacity
Udacity - https://www.udacity.com/
Wikipedia - https://www.wikipedia.org/
OpenStreetMap - https://www.openstreetmap.org
Overpass API - http://overpass-api.de/
Python Software Foundation - https://www.python.org/
Catherine Devlin's Github repository - https://github.com/catherinedevlin/ipython-sql
Google Map APIs - https://developers.google.com/maps/