This lesson develops Data Sets, Preparation, Profiling, and Enrichment for Visual Analysis within Enhanced Visual Analysis with Data Visualization Ed 1.
The activity is anchored to an analyst turning a mixed sales-and-service dataset into an exploratory workbook that reveals drivers, anomalies, segments, and decisions without misleading the audience, keeping every implementation, analysis, administration, or support decision specific to this course.
Demonstrate data set creation from files, databases, and subject areas within an analyst turning a mixed sales-and-service dataset into an exploratory workbook that reveals drivers, anomalies, segments, and decisions without misleading the audience, then capture the exact configuration, command, transaction, report, trace, or code evidence that proves the expected result.
Implement a controlled workshop covering profiling, quality indicators, transforms, joins, blends, and enrichment and data types, semantic roles, geographic attributes, and time grains, then test a failure, exception, or business-control scenario involving refresh behavior, lineage notes, assumptions, and validation samples.
The Data Sets, Preparation, Profiling, and Enrichment for Visual Analysis result must be reproducible, traceable to approved inputs, and consistent with expected Oracle product or business-process behavior.
Diagnose issues in data set creation from files, databases, and subject areas, profiling, quality indicators, transforms, joins, blends, and enrichment, data types, semantic roles, geographic attributes, and time grains, or refresh behavior, lineage notes, assumptions, and validation samples without making an unverified production change.
Learners isolate the smallest proven cause, apply a reversible correction, rerun validation, and record the preventive action.
Complete a validated implementation or analysis for Data Sets, Preparation, Profiling, and Enrichment for Visual Analysis and defend the result with documented evidence.