Grace Pehl, PhD

Udacity Data Analyst Nanodegree Project

##Purpose of the Project

1. download XML data from Open Street Maps

• MapPostion.txt - a description of the area selected
• TreasureCoastFL.osm - a sample of the 82.6 MB dataset
• 1_OSM_samplingData.py - code used to create data sample (provided by course)

2. audit the data and perform some cleaning

• OSHaudit_values.py - explore the dataset
• OSHkey_types.py - output a list of all keys used
• keys.txt - all keys found in the OSM data

3. reformat the data to JSON

• Data.py - convert data formats with sax parsing and perform some data cleaning

4. insert the data into MongoDB
5. run some queries on the database

• mongoDBqueries - code to run queries (not all queries saved in the code)

6. create a brief project writeup.

• ProjectNotes.pdf
• Resources.txt

All programming quizes from Lesson 6 of the Udacity Data Wrangling course (quiz # 1 and 3-6) are also included.