Group project repository: Elsie, Emily
Project 1 Part 1: Proposal Group fuzzy-potato: Emily Chu, Elsie Zhang
- Dataset Name: Drinking Water Quality Distribution Monitoring Data
The data tables summarize the turbidity values, coliform, fluoride and chlorine found at sides in distribution each month.
- Research Questions How do turbidity levels vary across time (seasonality and long-term trends) in NYC drinking water?
Are turbidity levels in drinking water samples in New York City associated with precipitation?
Is there spatial variation in water quality indicators across sampling locations in NYC?
- Notebook Link
4. Target Visualization
- Known Unknowns known:
Turbidity measurements across monitoring sites in NYC drinking water distribution system
Location and date of sampling, allowing for temporal and spatial analysis
Other water quality indicators (e.g., chlorine residual, fluoride, and coliform levels)
Monthly monitoring structure, which allows trend and seasonal pattern analysis
unknown:
Precipitation measurements corresponding to the exact sampling locations and time periods
Potential missing data or incomplete coverage in turbidity measurements (e.g., some sites/months not sampled), which may affect comparisons over time
Whether precipitation affects turbidity immediately or with a lag effect
- Anticipated Challenges Merging two different datasets together as precipitation data may have different date and location formats compared to the water quality data.
Choosing the correct rainfall time window as it is unclear whether turbidity responds to same-day rainfall or previous 24-48 hours.
Limited variation in turbidity due to well-controlled drinking water system, as it would be harder to detect statistically significant associations.
