When are scripts typically executed in data analysis?

The execution of scripts in data analysis typically occurs during the data processing phase. This is the stage where raw data is transformed into a more usable format, often involving cleaning, aggregating, and transforming the data to ensure it is ready for analysis. Scripts are essential during this phase because they automate complex calculations, merge datasets, and apply analytical techniques, allowing analysts to manage large volumes of data efficiently and consistently.

By the time data input and collection occur, scripts may not yet be necessary, as those stages focus on gathering data and ensuring it is captured correctly. Furthermore, during data visualization, the emphasis shifts to representing processed data visually, rather than altering it. Thus, the correct context for executing scripts primarily revolves around the data processing phase, where the transformation and analysis prerequisites take place.