What can data flows within the data preparation feature be used for?

Data flows within the data preparation feature are specifically designed to extract, wrangle, and format data. This process involves several key steps that enable users to take raw data from various sources and transform it into a more useful format for analysis. Data extraction refers to pulling data from different locations, wrangling involves cleaning and organizing that data to address any inaccuracies or inconsistencies, and formatting ensures that the data is structured properly for reporting or further analysis.

The other options do not accurately represent the primary function of data flows in data preparation. While creating pivot tables and visualizing graphs are important analytical tasks, they typically occur after the data has been prepared and are not the main purpose of data flows. Similarly, filtering raw data could be part of the data wrangling process, but it doesn’t encompass the full capabilities and broader applications of data flows. Thus, the focus on extracting, wrangling, and formatting data captures the essential role of data flows in streamlining and preparing data for analysis.