Which tool is NOT typically used by data analysts to analyze data?

Data analysts utilize a variety of tools to perform their work, and in this context, word processors are the tool that stands out as not typically being used for data analysis.

Visualization tools, such as Tableau or Power BI, are specifically designed to help analysts present data visually, making complex data sets easier to understand and insights more accessible. Query languages, like SQL, are fundamental for data analysts as they enable the retrieval and manipulation of data from databases, allowing analysts to explore specific datasets and extract meaningful information. Databases, which store data in structured formats, are essential for data analysts to access and manage large amounts of information effectively.

In contrast, while word processors can be useful for documenting insights or composing reports, they are not designed for analyzing data. Their primary function is text editing and formatting, which does not accommodate the sophisticated analytical tasks that data analysts engage in, such as statistical analysis, data mining, or complex queries. Thus, word processors are not considered a standard tool in the data analysis toolkit, making this choice the correct response.