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Actual to expected studies--Part 1
Journal of Insurance Medicine (New York, N.Y.)
|March 31, 2015
Summary
This study introduces pivot table analysis for mortality data. It details converting serial data into a format optimized for pivot table examination.
Area of Science:
- Biostatistics
- Data Analysis
Background:
- Mortality data analysis is crucial for public health.
- Traditional methods can be cumbersome for large datasets.
Purpose of the Study:
- To demonstrate the application of pivot tables in mortality analysis.
- To provide a guide for data transformation for pivot table suitability.
Main Methods:
- Utilized pivot tables for analyzing mortality statistics.
- Developed a step-by-step process for data conversion.
- Focused on transforming seriatim data into an analyzable format.
Main Results:
- Pivot tables offer an efficient method for exploring mortality trends.
- The demonstrated data conversion process enhances data accessibility for analysis.
Conclusions:
- Pivot table analysis is a valuable technique for understanding mortality.
- Effective data preparation is key to leveraging pivot table capabilities.
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