How do you preview and transform your data in a graphical view?

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 Hello Everyone,

  1. Data Visualization Tools: Use data visualization tools like Tableau, Power BI, or Excel to load your data.
  2. Data Preview: Import your data and view it in a graphical format, such as tables, charts, or graphs.
  3. Data Transformation: Perform data transformation tasks like filtering, sorting, and aggregating using the graphical interface.
  4. Data Cleaning: Identify and clean any data inconsistencies or outliers visually in the graphical view.
  5. Data Exploration: Use interactive features to explore data relationships and patterns graphically.
  6. Data Export: Once you're satisfied, export the transformed data for further analysis or reporting.

Graphical data tools provide a user-friendly way to interact with and transform your data without extensive coding or scripting.

In this Video, we will demonstrate how to create a view in SAP Datasphere with a dimension semantic usage. You will learn how to create the dimensional view, modify the semantic type to add context to columns, calculate a geo-coordinate column to display map locations, and configure a level-based hierarchy to group the table members. SAP DataSphere empowers you to effortlessly create data views through a user-friendly graphical interface. With drag-and-drop functionality from the Source Browser, seamless data joining, transformation capabilities, and customizable output structures, you gain full control of your data processing and visualization.

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