Analyzing Data

Use this skill for exploratory data analysis and visualization: understanding dataset structure, identifying patterns, choosing the right visualization approach, and communicating insights effectively.

When to use this skill

• New dataset — need orientation on structure, types, distributions
• Choosing visualization libraries and chart types for a project
• Data quality investigation — find anomalies, missing patterns, outliers
• Statistical hypothesis testing — validate assumptions about data
• Creating publication-quality figures or exploratory charts
• Large dataset exploration — sampling and aggregation strategies
• Understanding missing value mechanisms (MCAR/MAR/MNAR)
• Before feature engineering — understand variable relationships
• Model preparation — validate assumptions about data

When NOT to use this skill

• Building interactive dashboards or data applications → use @building-data-apps