https://github.com/ggarciajavier/udacity-dalf-project2-wrangle-openstreetmap-data

Work performed for the 2nd project of Udacity Data Analyst Nanodegree: OpenStreetMap data wrangling and analysis.
https://github.com/ggarciajavier/udacity-dalf-project2-wrangle-openstreetmap-data

data-analysis openstreetmap python sql

Last synced: 2 days ago
JSON representation

Work performed for the 2nd project of Udacity Data Analyst Nanodegree: OpenStreetMap data wrangling and analysis.

• Host: GitHub
• URL: https://github.com/ggarciajavier/udacity-dalf-project2-wrangle-openstreetmap-data
• Owner: ggarciajavier
• Created: 2023-02-14T16:16:12.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2023-02-14T22:46:24.000Z (almost 2 years ago)
• Last Synced: 2025-02-03T21:33:49.724Z (11 days ago)
• Topics: data-analysis, openstreetmap, python, sql
• Language: Jupyter Notebook
• Homepage:
• Size: 693 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Audit: audit_street_types.py

Awesome Lists containing this project

README

        
## Udacity Data Analyst Nanodegree Project 2: Wrangle OpenStreetMap data ##

This repository contains the analysis performed by Javier Gómez García for the 2nd project of the Udacity Data Analyst Nanodegree.

It includes the following files:

* A Jupyter notebook containing the main program and the description of the work (Python version: 3.6):

   [Project2_Wrangle_OpenStreetMap_data.ipynb](Project2_Wrangle_OpenStreetMap_data.ipynb)

* A sample of the OpenStreetMap of the city I chose for the exercise, A Coruña:

   [LCG_map.osm](LCG_map.osm)

* The following text files:

    * [MAP_DESCRIPTION.md](MAP_DESCRIPTION.md): text file containing the link to the map position and the motivation for the choice.

    * [REFERENCES.md](REFERENCES.md): text file containing the links to the websites and repositories I have used for my work.

* The following Python files, required to process the data and called by the main program (the .ipynb file), all written in Python 3.6:

    * [audit_street_types.py](audit_street_types.py): code used to audit the street types and street names

    * [audit_tag_types.py](audit_tag_types.py): code used to audit the types of tags present in the data

    * [csv2sqldb.py](csv2sqldb.py): code used to generate a SQL database from a set of CSV files

    * [osm_downsampler.py](osm_downsampler.py): code used to generate a smaller sample from the full-sized map

    * [osm2csv.py](osm2csv.py): code used to convert the OSM file (given in XML format) into the CSV files, and to apply the corrections mentioned in the text

    * [schema.py](schema.py): code providing a dictionary with the required schema to produce the CSV files