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Water Contamination and Safety Data

Public Health & Epidemiology

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Public Health

Water Quality

Environment

Potability Analysis

Water Safety

Sustainable Development

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Water Contamination and Safety Data Dataset on Opendatabay data marketplace

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Free

About

Access to clean and safe drinking water is a fundamental human right and a cornerstone of public health. This dataset offers a comprehensive collection of water quality measurements aimed at assessing potability and identifying factors contributing to unsafe drinking water. It serves as a valuable resource for public health research, environmental studies, and machine learning applications focused on water safety classification.

Dataset Features

Each row in the dataset represents water quality measurements for a specific water body, with the following columns:
  • pH: Measures the acidity or alkalinity of water. The safe range for drinking water is typically 6.5 to 8.5.
  • Hardness: Represents the concentration of calcium and magnesium, impacting water softness.
  • Solids (TDS): Total Dissolved Solids indicate the level of dissolved minerals and salts in the water.
  • Chloramines: Level of chloramine disinfectants used for water treatment.
  • Sulfate: Concentration of sulfate compounds, which can influence water taste and safety.
  • Conductivity: Electrical conductivity, indicating mineral content.
  • Organic Carbon: Measure of total organic compounds in the water.
  • Trihalomethanes: Byproducts formed during chlorine treatment, which can affect safety.
  • Turbidity: Measure of water clarity; higher turbidity can indicate contamination.
  • Potability: Binary target variable (1 = Potable, 0 = Not Potable).

Distribution

  • Data Format: CSV (Comma Separated Values)
  • Data Volume: 3,276 records and 10 columns
  • Data Structure: Tabular format with both numerical and categorical data

Usage

Ideal applications for this dataset include:
  • Public Health Analysis: Investigate the safety of drinking water across regions.
  • Machine Learning Projects: Develop classification models to predict water potability.
  • Environmental Research: Study the correlation between chemical properties and water contamination.
  • Education and Training: For data science and machine learning practice projects.

Coverage

  • Geographic Coverage: Global (unspecified locations)
  • Time Range: Not specified
  • Demographics: Not applicable (focus on water samples)

License

  • License: CC0 (Public Domain)

Who Can Use It

  • Data Scientists: For building models to classify potable and non-potable water.
  • Researchers: For scientific studies on water quality and health risks.
  • Policymakers: For assessing water safety standards and compliance.
  • Educators: For hands-on data science education and environmental studies.

Leveraging this dataset can provide critical insights into water safety and inform decisions for improving access to clean drinking water worldwide.

Dataset Information

VIEWS

3

DOWNLOADS

0

LICENSE

CC0

REGION

GLOBAL

UDQSSQUALITY

5 / 5

VERSION

1.0

Free