What does the dbt init command help you with?

The dbt init command is primarily designed to initiate a new dbt project. When executed, it sets up a new directory structure with the necessary configuration files and directories required for developing a dbt project. This includes a default dbt_project.yml file, which outlines the project’s settings, and a models directory, where you can start building your models. It essentially lays the groundwork for your analytics workflow by creating a clean environment for you to manage your data transformations effectively.

In contrast, adding dependencies, updating existing models, or running analytics on existing data are tasks that require different commands or functionalities within dbt, such as installing packages or running specific dbt commands for model management and execution. Thus, the primary role of the dbt init command is to kickstart the development of a new analytics project, making it the correct choice.