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River Phosphate Level Prediction
Data Science and Analytics
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About
This dataset contains information on the concentration of phosphate ions (polyphosphates) in river water, collected from eight consecutive state water monitoring stations. Its primary purpose is to facilitate the prediction of phosphate levels at a target station based on upstream measurements from the other seven stations. The data provides valuable insights for water quality assessment and environmental monitoring. The numbering of stations in the dataset is arranged from the target station upstream, with the closest station being the first, and subsequent stations further upstream.
Columns
- Id: A unique identifier for each monthly averaged data entry.
- target: Represents the monthly averaged values of phosphate ion concentration (PxOy) at the designated target station, measured in milligrams per cubic decimetre (mg/cub. dm).
- 1-7: These columns contain the monthly averaged values of phosphate ion concentration (PxOy) for stations 1 through 7, which are located upstream from the target station. Measurements are in milligrams per cubic decimetre (mg/cub. dm).
Distribution
The dataset is provided in a CSV format, with the sample file
test.csv being approximately 1.53 kB in size. It comprises 8 columns of data. The data represents average monthly observations, with the number of observations varying across stations, ranging from approximately 4 to 20 years. Each station appears to have 63 total values. The test data specifically does not include the target column, aligning with its intended use for prediction competitions.Usage
This dataset is ideally suited for various analytical and predictive applications, including:
- Analysis of data dependencies, particularly through Exploratory Data Analysis (EDA).
- Predicting water quality at the target station by estimating phosphate levels with high accuracy.
- Assessing the impact of specific upstream stations (e.g., stations 1-2 versus 3-7) on the overall prediction accuracy.
Coverage
The dataset's coverage is focused on river water monitoring stations, with data originating from state water monitoring systems. The observations are average monthly readings, spanning diverse periods from 4 to about 20 years depending on the station. There is no specific demographic scope. The number of observations varies significantly between stations, and the training and test datasets have been curated to ensure a consistent percentage of non-NA values across both long and shorter series.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
This dataset is relevant for a wide range of users, including:
- Data scientists and machine learning engineers interested in developing predictive models.
- Environmental researchers and hydrologists studying river water quality and pollution.
- Governmental agencies responsible for water resource management and environmental protection.
- Participants in data science competitions focused on environmental prediction.
Dataset Name Suggestions
- River Phosphate Level Prediction
- Upstream River Water Quality Monitoring
- Monthly Phosphate Concentration in Rivers
- Hydrological Phosphate Prediction Dataset
- River Water Polyphosphate Levels
Attributes
Original Data Source: River Phosphate Level Prediction
QUALITY