In the data visualization process, which stage involves running queries to look for trends, patterns, and exceptions?

In the data visualization process, which stage involves running queries to look for trends, patterns, and exceptions?

• A. Exploration
• B. Analysis
• C. Synthesis
• D. Presentation

Answer: (B)

Analyzing data is the stage where you actively query the data to uncover trends, patterns, and exceptions. In this phase you run queries, apply filters, compute aggregates, and compare different metrics to reveal how things change over time, where there are consistent patterns, and where anomalies stand out. This focused interrogation helps you interpret what the data is signaling and test hypotheses about relationships between variables, making it the most fitting description of the activity described. Exploration is more about getting familiar with the data—the structure, quality, distributions, and broad characteristics—rather than systematically testing questions with targeted queries. Synthesis involves weaving together findings into a coherent story or insight narrative, and Presentation is about communicating those insights to others.

Analyzing data is the stage where you actively query the data to uncover trends, patterns, and exceptions. In this phase you run queries, apply filters, compute aggregates, and compare different metrics to reveal how things change over time, where there are consistent patterns, and where anomalies stand out. This focused interrogation helps you interpret what the data is signaling and test hypotheses about relationships between variables, making it the most fitting description of the activity described.

Exploration is more about getting familiar with the data—the structure, quality, distributions, and broad characteristics—rather than systematically testing questions with targeted queries. Synthesis involves weaving together findings into a coherent story or insight narrative, and Presentation is about communicating those insights to others.