R and Visualisation Using Power BI — Lesson 2: Data Manipulation and Statistical Exploration

Learning Objectives

• Import, inspect, clean, reshape, join, and aggregate data
• Handle missing values, outliers, data types, and validation
• Use descriptive statistics and exploratory analytical techniques

Detailed Topics

• Import: Import, inspect, clean, reshape, join, and aggregate data
• Handle missing values: Handle missing values, outliers, data types, and validation
• Use descriptive statistics and exploratory analytical techniques: Use descriptive statistics and exploratory analytical techniques

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

Clean and explore a dataset while documenting analytical decisions.

• 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 Data Manipulation and Statistical Exploration in a realistic scenario and validate the result with documented evidence.