What is typically the first step in an exploratory analysis?

The first step in an exploratory analysis is often centered around interacting dynamically with the data. This initial phase is crucial because it allows analysts to familiarize themselves with the dataset, identify patterns, and uncover insights without preconceived notions. Through dynamic interaction, such as filtering, sorting, and drilling down into the data, analysts can generate hypotheses and questions that guide further investigation. This exploration is typically iterative, enabling a deeper understanding of the data's structure, relationships, and potential anomalies.

Engaging with the data in this way sets the stage for subsequent steps in the analysis process, such as preparing the data for more formal static analysis or generating reports. It also informs any necessary data cleaning or transformation that may need to occur before deeper analytical techniques are applied. Effective exploratory analysis is foundational to delivering meaningful insights, making this step essential for any data-driven endeavor.