Model-based estimation of water intake in manufacturing, mineral extraction and thermal-electric power generation industries, by industry (x 1,000,000) PARQUET Dataset
Log in or register to download samples, analyze with Python, and create projects.
Model-based estimation of water intake in manufacturing, mineral extraction and thermal-electric power generation industries, by industry (x 1,000,000)
- — — Statistics Canada
This dataset appears to contain environmental or resource usage data for Canada, likely related to water resources. The columns suggest that it tracks water volume (in cubic meters) by region and year, possibly at a national level. The data seems to be aggregated across all industries and may represent total water usage.
Overall Score: The overall quality score of 86.1/100 indicates that the dataset is generally well-structured but might have some minor issues.
Completeness Score: A completeness score of 80.0/100 suggests that most data points are present, but there may be missing values or gaps in the data.
Validity Score: The validity score of 91.7/100 implies that the data is generally accurate and reliable, but may have some minor discrepancies.
Uniqueness Score: A uniqueness score of 100.0/100 indicates that all unique values are present, which is a good sign for data consistency.
Consistency Score: A consistency score of 72.94/100 suggests that the dataset has some inconsistencies or missing values in certain columns.
Analyzing water usage trends over time to inform policy decisions
Identifying regions with significant water shortages for targeted interventions
Developing strategies for sustainable water management at a national level
The dataset only includes data from Canada, which might limit its applicability to other countries.
The data may not account for specific factors like population density or economic conditions that can impact water usage.
water-resources, environmental-data, canada, resource-management
Visualize dataset coverage on a map. Geospatial columns (latitude/longitude, lat/lon, x/y) are detected automatically.
Loading analysis steps...
Please log in to view your saved notebooks
No comments yet — be the first to share your thoughts.
Please log in to comment.