US EIA Annual Industry Outlook 2025 Full Data Sets PARQUET Dataset
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Full and complete data sets for the US Energy Information Administration Annual Industry Outlook for 2025. Including national and state data for:
- Supply
- Comsumption
- Prices
- Residential
- Commercial
- Industrial
- Transport
- Distribution
- Generation
- Trade
- Petroleum
- Natural Gas
- Oil
- Coal
- Renewable Energy Generation
- Renewable Energy Consumption
- CO2
- Hydrogen
- Macroeconomic Indicators
This dataset appears to be related to energy consumption and production reports, containing information about annual energy outlooks, scenarios, dates, and release dates. The column names suggest a focus on historical data and trends, with values ranging from strings to floats.
Overall: The overall quality score of 59.27/100 indicates that the dataset may contain some missing or incomplete data, but still provides a useful foundation for analysis.
Completeness: A completeness score of 63.44/100 suggests that the dataset is generally well-structured and complete, with most values present for each column.
Validity: The validity score of 50.0/100 raises concerns about the accuracy or reliability of some data points, potentially due to missing or invalid values.
Uniqueness: A uniqueness score of 76.57/100 indicates that the dataset may contain duplicate or redundant data, which could impact analysis results.
Consistency: A consistency score of 49.6/100 suggests that the dataset may not be consistent in its formatting or formatting rules, potentially leading to errors or inconsistencies.
Analyzing energy consumption trends over time
Identifying patterns in annual energy outlooks
Comparing scenario-based projections with historical data
Missing values may impact analysis results due to the presence of NaN values
Inconsistencies in formatting or formatting rules could lead to errors
energy consumption, annual reports, trends analysis, energy outlooks
Visualize dataset coverage on a map. Geospatial columns (latitude/longitude, lat/lon, x/y) are detected automatically.
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