R and Visualisation Using Power BI — Lesson 3: R Visualization and Power BI Integration

Learning Objectives

• Create charts using base R and common visualization packages
• Run R scripts in Power BI Desktop for data preparation
• Build R visuals and connect them to report filters and context

Detailed Topics

• Create charts using base R and common visualization packages: Create charts using base R and common visualization packages
• Run R scripts in Power BI Desktop for data preparation: Run R scripts in Power BI Desktop for data preparation
• Build R visuals and connect them to report filters and context: Build R visuals and connect them to report filters and context

Guided Demonstration

1. Review the requirement, environment, dependencies, roles, risks, and expected outcome.
2. Demonstrate the relevant configuration, analysis, code, or administration workflow step by step.
3. Capture settings, outputs, logs, screenshots, calculations, or test evidence.
4. Compare the observed result with the stated acceptance criteria.

Hands-On Activity

Create a Power BI report containing an R-prepared dataset and R visual.

• Document assumptions and the planned sequence before making changes.
• Complete the activity and preserve evidence of normal and exception behavior.
• Record issues, corrective actions, and reusable operational or development notes.

Troubleshooting Focus

• Separate symptoms from causes and collect evidence before applying a fix.
• Check configuration, permissions, data, dependencies, capacity, connectivity, and recent changes.
• Validate rollback, recovery, support ownership, and user or business impact.

Validation Checklist

• The requirement and expected outcome are clear.
• The selected configuration, design, query, code, or process is documented.
• Normal, boundary, failure, security, and operational conditions are reviewed.
• The result is supported by evidence and the next improvement is prioritized.

Lesson Outcome

Learners can explain and apply R Visualization and Power BI Integration in a realistic scenario and validate the result with documented evidence.