OpenData is a comprehensive collection of analyses and visualizations for various datasets related to New York City. It covers diverse topics, from traffic accidents to Citi Bike usage and ferry boardings. This repository serves as a window into various facets of city dynamics using open datasets.
- Accident Statistics
- Citi Bike Dock Usage
- Ferry Boardings
- NYPD Complaints Analysis
- Central Park Squirrel Census
- Active Construction Projects
- Data Sources
Explore the details of accidents in NYC in the notebooks/accidents.ipynb.
Sample Visualization:
Accidents that resulted in injuries. Blue represents bikes and red represents pedestrians.
For a comprehensive breakdown and more visual representations, refer to the notebook.
Delve deep into Citi Bike dock usage in Red Hook through these dedicated Jupyter notebooks.
Data Source:
See documentation.
Sample Visualizations:
Average dock availability in Red Hook Citi Bike stations by hour of the day
Dock availability levels in Red Hook by day of the week
In the heatmap, blue indicates limited bike availability while red suggests limited dock availability.
To uncover the intricate details and discover more patterns, check out the notebooks:
Learn about ferry boarding patterns and frequency in the ferry notebook.
Sample Visualization:
Mean number of boardings at each station on the Southbound ferry route
Dive into the analysis of NYPD complaints, specifically focusing on assault, in the NYPD Complaints notebook.
Sample Visualizations:
Assaults by year in the 76th precinct
Assault heatmap of the 76th precinct based on data since 2020
For an in-depth analysis, detailed data wrangling, and other visualizations related to NYPD complaints, check out the notebook.
The Central Park Squirrel Census provides a fascinating look into the behaviors and distribution of squirrels within Central Park. This dataset offers insights into their primary fur colors, activities, and specific locations.
Sample Visualizations:
Distribution of squirrel sightings based on their primary fur color in Central Park
Heatmap of squirrel sightings
Squirrel break down by activity
For a comprehensive analysis and visualizations, check out the dedicated notebook.
In this section, we explore the active construction projects taking place across different zip codes. This provides insights into the magnitude and distribution of construction activity in terms of the Value of Prime Construction Contracts. The regions with the highest monetary contracts highlight the prime locations where significant infrastructural developments are taking place, indicating areas of rapid growth and investment.
Sample Visualizations:
| Zip Code | Value of Prime Construction Contract |
|---|---|
| 10314 | $5,368,980,925.42 |
| 11204 | $5,310,136,935.82 |
| 11213 | $4,814,331,401.32 |
| 11225 | $4,797,602,607.82 |
| 10301 | $4,755,078,852.75 |
| 10458 | $4,083,043,372.05 |
| 10467 | $3,563,854,007.44 |
| 11377 | $2,187,021,359.92 |
| 11368 | $1,929,759,861.36 |
| 11355 | $1,582,741,953.82 |
Table with the zip codes that have the highest prime construction contract value
Heatmap with circles relative to the value of their prime construction contract