P3: Wrangle OpenStreetMap Data
Udacity Data Analyst NanoDegree
Files included in this Github Repository
| Name |
K value |
Size |
Lines |
Note |
| la-sample.osm |
1,000 |
8.6 MB |
110,729 |
This file was used to test early python data auditing and cleaning scripts. |
| la-small.osm.json |
|
9.7 MB |
41,124 |
Result of running data_converter.py, imported into the MongoDB database. |
| Name |
Description |
| audit.py |
Returns a list of tag "k" values for nodes. To explore ways please change the file path in the main call. |
| data_converter.py |
Cleans, shapes, and converts the xml files to json |
| data_structure.py |
A more complex form of map_parser.py, which includes the children counts for each node type. |
| map_parser.py |
Prints a dictionary of the node types, their counts, and attributes |
| sample.py |
Provided in the project prep for making a smaller file from the original OSM dataset |
| Name |
Description |
| mapdata.txt |
A text file containing a link to the map position you wrangled in your project, a short description of the area and a reason for your choice. |
| P3_Wrangling_OSM_data.ipynb |
Jupyter Notebook containing my Project Submission |
| P3_Wrangling_OSM_data-v-1.html |
The html version of the notebook, for your review |
| query.py |
a Python script for querying the MongoDB database, can be called from the command line, please read comments in script, and critique for improvements! |
| README.md |
What you're reading |
Can be found at the end of the html submission