In Data Workbench, datasets are pivotal for analyzing and extracting insights from data. There are three distinct categories of datasets available: predefined, created, and shared with me. This tutorial video will walk you through the process of crafting your own datasets.

To commence, navigate to the Data Catalogue section within Data Workbench. Here, you can peruse and explore a variety of datasets for your analysis. The Data Catalogue comprises predefined datasets, which are regularly updated templates containing dynamic data. These serve as an initial point of reference for your analysis.

Utilizing these predefined templates, you can generate your own custom dataset. Once you have selected a predefined dataset, you can apply filters and sorting options to further refine the data. This step aids in narrowing down the dataset based on specific criteria, facilitating the extraction of pertinent information for your analysis.

Moreover, you can add a description and apply filters to specific columns while filtering and sorting the dataset. Subsequently, you can save it as a custom dataset, which captures a snapshot of the predefined dataset, incorporating the custom filters and sorting applied.

In the event that you wish to collaborate or share your findings with colleagues or stakeholders, Data Workbench permits you to share the custom dataset. You can grant access to the dataset to particular individuals or groups, enabling them to explore the data and gain insights.

Data Workbench maintains a log for each dataset, documenting any changes or modifications made to the dataset. This log serves as a comprehensive record of the dataset's evolution, facilitating the tracking and comprehension of the dataset's history. You can find this log under the Workspace tab, labeled as the "activity log".