Data Synthesis

Data synthesis is the process of combining information from multiple sources or datasets to create a comprehensive, unified dataset. This technique helps fill in gaps, improve data quality, or generate new data that reflects the patterns and insights from the original sources. Think of it like blending different pieces of a puzzle to see the complete picture more clearly. Data synthesis is useful in research, machine learning, and decision-making, enabling more informed analysis when raw data is incomplete, inconsistent, or scarce.