During which process can you visualize data in Databricks?

Visualizing data in Databricks can be effectively achieved using the Data Explorer. This tool provides users with a user-friendly interface to browse datasets, inspect their contents, and visualize data through various charting options. By leveraging the capabilities of Data Explorer, users can create visual representations of data such as graphs and charts, which can help in identifying trends, patterns, and insights easily.

While data analysis, creating SQL queries, and using dashboards are integral components of the Databricks platform, they do not focus exclusively on visualization. Data analysis typically involves a broader scope that may include preparing, cleaning, and summarizing data rather than directly visualizing it. SQL queries can be used to retrieve and manipulate data, but the visualization aspect is not inherent to this process. Dashboards have visualization capabilities, but they primarily serve as a way to present and share insights, requiring access to data and visualizations created via other methods, such as the Data Explorer.

Thus, the Data Explorer stands out as the primary process within Databricks that allows for direct and intuitive data visualization.