Instructional applications can follow the following best practices:
- Scenario-based teaching::
- Generate different industry datasets by course section
- For example, teaching SQL correlation queries with retail data
- Demonstrate time series analysis with financial data
- Asymptotic Complexity::
- Beginner's course with 100 rows of data in a single table
- Advanced courses with multiple tables of 100,000 rows of data
- Error simulation::
- Deliberately generating datasets containing outliers
- Train students in data cleansing
- visual articulation::
- Import Metabase directly to create instructional dashboards
- Showing the same data set in different charts
Teachers can combine the generated dataset with the teaching case base to ensure data professionalism while avoiding the use of real and sensitive data. The Chinese language interface supported by the tool also lowers the learning threshold for non-English speaking users.
This answer comes from the articleMetabase AI Dataset Generator: Quickly Generate Real Datasets for Demonstration and AnalysisThe
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