Quantitative Data consists of numerical information that can be measured or analysed statistically. This type of data is essential for evaluating performance metrics, user engagement and other measurable outcomes in various fields.
Key Characteristics:
- Numerical Nature: Data is expressed in numbers, allowing for mathematical calculations.
- Measurable Metrics: Enables tracking performance over time through defined metrics.
- Statistical Analysis: Can be analysed using statistical methods for insights into trends and patterns.
Common examples of quantitative data include sales figures, website traffic statistics, test scores and production counts. This data is crucial for informed decision-making in business and research contexts.