What are the main use cases of the applications discussed in the text?

The correct answer highlights the primary functions of the applications discussed in the context of data manipulation and visualization. Discovery refers to the ability to explore datasets to uncover patterns, trends, and insights that may not be immediately apparent. Analysis involves the application of statistical and computational techniques to interpret data, making it possible to inform decision-making processes.

Dashboards serve as visual interfaces that summarize and convey the most relevant information in an easily digestible format, allowing users to monitor key metrics and performance indicators at a glance. Applications refer to the broader scope of tools that users can leverage to perform various tasks related to data management and utilization.

The other options focus on specific, narrower functions that do not capture the comprehensive potentials of the applications in question. For instance, data entry and reporting are crucial components of data handling but do not encompass the broader analytical capabilities of the applications. Social media integration and content management represent specialized areas that fall outside the main focus of data analysis and visualization. Similarly, software development and project management are valuable practices but are not intrinsic to the core use cases associated with data discovery and analytical applications.