https://github.com/fractalate/data-trees-new-york
Trees of New York Data Analysis and Visualization
https://github.com/fractalate/data-trees-new-york
data-science jupyter-notebook python seattle trees
Last synced: 3 months ago
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Trees of New York Data Analysis and Visualization
- Host: GitHub
- URL: https://github.com/fractalate/data-trees-new-york
- Owner: fractalate
- Created: 2025-08-30T21:02:34.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-09-21T15:36:09.000Z (10 months ago)
- Last Synced: 2025-09-21T17:40:23.385Z (10 months ago)
- Topics: data-science, jupyter-notebook, python, seattle, trees
- Language: Jupyter Notebook
- Homepage:
- Size: 3.68 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Trees of New York City
## Sources
*Note: some files are dated for the download date, so when you download them, you may have a different date. rename the files*
* [Street Tree Census 2015](https://data.cityofnewyork.us/Environment/2015-Street-Tree-Census-Tree-Data/uvpi-gqnh/about_data)
- Export and put in:
- `./data/Street_Tree_Census/2015_Street_Tree_Census_-_Tree_Data_20250830.csv`
- [Exploration Notebook](./Street%20Tree%20Census%202015.ipynb)
* [Forestry Management System (ForMS 2.0)](https://data.cityofnewyork.us/browse?sortBy=most_accessed&utf8=%E2%9C%93&Data-Collection_Data-Collection=Forestry+Management+System+%28ForMS%29&pageSize=20&page=1)
- Export and put in:
- `./data/Forestry_Management_System/Forestry_Inspections_20250830.csv`
- `./data/Forestry_Management_System/Forestry_Planting_Spaces_20250830.csv`
- `./data/Forestry_Management_System/Forestry_Risk_assessments_20250830.csv`
- `./data/Forestry_Management_System/Forestry_Service_Requests_20250830.csv`
- `./data/Forestry_Management_System/Forestry_Tasks_20250830.csv`
- `./data/Forestry_Management_System/Forestry_Tree_Points_20250830.csv`
- `./data/Forestry_Management_System/Forestry_Work_Orders_20250830.csv`
- [Exploration Notebook](./Forestry%20Management%20System.ipynb)
## Setup
```bash
pip install -r requirements.txt
```
## Notes
To be categorized later.
* "Gleditsia triacanthos var. inermis" is the thornless variety of the honeylocust