Which of the following techniques is commonly used during the data exploration phase?

During the data exploration phase, statistical summaries are particularly valuable as they provide a concise overview of the data set by highlighting key aspects such as central tendencies, variability, and distribution patterns. This technique allows analysts to gain initial insights into the data, discover potential outliers, and identify relationships between variables.

Statistical summaries might include measures like the mean, median, mode, standard deviation, and range, enabling analysts to summarize large amounts of data efficiently and effectively. This foundational understanding is crucial before applying more complex analytical methods, as it sets the stage for deeper analysis and interpretation.

Other techniques listed, such as regression analysis, focus groups, and content analysis, play different roles within data analysis contexts. While regression analysis is more appropriately used in predictive modeling and hypothesis testing, focus groups are qualitative research methods that gather insights directly from participants, and content analysis is typically used for evaluating qualitative data. These methods are not ideal early-stage exploration techniques because they require more defined objectives and refined data sets.