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Data: In Superset, data refers to the collection of information used to create visualizations and dashboards. Data can come from various sources, such as SQL databases, CSV files, cloud services, etc. Superset provides the ability to connect and access these data sources, transform them as needed, and use them to build interactive visualizations and dashboards.
SQL Lab: SQL Lab is a component of Superset that allows users to execute custom SQL queries on the underlying database. It provides an interactive interface where users can write queries, view results, and explore data in real-time.
SQL Lab is useful for users with advanced SQL knowledge who want greater flexibility and control over queries and data analysis.Charts: A chart in Superset is a visual representation of data. Superset offers a wide range of chart types, including bar charts, line charts, scatter plots, pie charts, maps, and more. Users can create and customize charts in Superset by selecting data fields, applying filters, and adjusting the visual style.
Dashboards: A dashboard in Superset is a collection of visualizations, filters, and metrics organized on a single page. It provides a consolidated view of data and allows users to analyze and monitor different aspects of a dataset in one place. Dashboards can be customized based on user needs and easily shared with others.
Settings: The settings part of Superset allows for the definition of various aspects such as allow various components to be defined or configured. This includes data source connections, user management and permissions, visualization configuration, data refresh scheduling, and integration with external systems. It is where global preferences, performance settings, visual styles, and other options related to the appearance and behavior of Superset can be set.
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