Description: The ‘Query Schema’ in data visualization platforms refers to the structure that defines how queries are formulated and executed against databases or data sources connected to the platform. This schema is fundamental for data visualization, as it allows users to specify what information they want to extract and how it should be presented. Through a query language, such as SQL or PromQL, users can select, filter, and group data, as well as apply aggregation functions and transformations. The flexibility of the query schema enables users to customize their dashboards and gain meaningful insights from their data. Additionally, modern data visualization tools often offer an intuitive interface that facilitates the creation and modification of these queries, democratizing access to data analytics and allowing even those without deep technical knowledge to effectively interact with their data. In summary, the query schema is an essential tool in data visualization that enhances the ability to analyze and visualize data, adapting to the specific needs of each user and organization.
