Aggregation
Aggregation refers to the process of combining multiple data points or values to produce a summary or a single representative value. This is commonly used in data analysis to simplify complex datasets and to provide insights into trends and patterns.
Characteristics
– Data Summarization: Aggregation helps in summarizing large datasets into more manageable forms.
– Statistical Measures: Common aggregation methods include calculating sums, averages, counts, and medians.
– Hierarchical Structure: Aggregation can occur at various levels, such as individual, group, or overall data.
– Data Reduction: It reduces the volume of data while retaining essential information.
Examples
– Sales Data: Summarizing daily sales figures into monthly totals to analyze trends over time.
– Survey Results: Calculating the average score of responses from a survey to gauge overall satisfaction.
– Website Analytics: Aggregating page views by week to understand user engagement over time.
– Financial Reporting: Combining individual transaction data to produce quarterly financial statements.
