What is the first step in the data exploration process?

In the data exploration process, the initial step is to "View" the data. This involves taking a preliminary look at the dataset to understand its structure, contents, and any immediate insights that can be drawn. By viewing the data, analysts can identify the format of the data (e.g., numerical, categorical), recognize missing values, and gain a sense of the overall patterns and distributions present within it.

This foundational step is crucial as it lays the groundwork for subsequent actions, such as refining the data to cleanse it or exploring it further through analytical techniques. Without viewing the data first, it would be challenging to conduct an effective analysis, as insights derived later depend heavily on understanding the data’s initial state.

The actions that follow, such as refining and exploring, build upon this initial observation and are often contingent on what issues or trends are revealed during the viewing phase. Therefore, starting with a thorough viewing of the dataset is essential for a successful data exploration process.