The maps depict estimates of the percentage of American adults (age 18 and over) who hold particular beliefs, attitudes, and policy preferences about global warming. The estimates were generated from a statistical model that incorporates actual survey responses, but combines these responses with demographic data from the U.S. Census to estimate opinions for different groups of people based on information such as their gender, race, and ethnicity, and educational attainment; they also take into account changes in public opinion over time.
This dataset contains weather affect data for various states in the United States. The columns represent different variables and years of measurement, including weather patterns and state characteristics.
Overall: The overall quality score of 78.3/100 indicates that the dataset has a moderate level of quality. While it is complete and valid, there may be some inconsistencies or missing data points.
Completeness: The completeness score of 53.81/100 suggests that not all states have full data coverage across all years.
Validity: The validity score of 80.0/100 indicates that the dataset has a high level of accuracy in its measurements.
Uniqueness: The uniqueness score of 100.0/100 implies that there are no duplicate entries within the dataset.
Consistency: The consistency score of 90.76/100 suggests that the data is generally consistent across different states and years.
Analyzing weather patterns to predict future trends
Evaluating the impact of climate change on state-level weather data
Identifying regions with high variability in weather conditions
The dataset may be biased towards more populated states or those with more comprehensive data collection efforts.
There is a risk of missing data points, particularly for less populous states or areas with limited monitoring capabilities.
weather, climate, state-level data, weather patterns, data quality
Visualize dataset coverage on a map. Geospatial columns (latitude/longitude, lat/lon, x/y) are detected automatically.
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