data-analysis

# Data Analysis Skill Use this skill when analyzing data, performing calculations, interpreting statistics, or solving quantitative problems. ## When to Use - Performing calculations - Interpreting statistical data - Analyzing trends or patterns - Comparing quantities - Working with percentages, ratios - Data-driven decision support ## Analysis Process ### 1. Understand the Question - What is being asked? - What data is available? - What calculations are needed? - What is the expected output? ### 2. Data Examination - Identify relevant data points - Check for missing values - Verify units consistency - Note any anomalies ### 3. Calculation/Analysis Perform appropriate analysis: - **Descriptive**: Mean, median, mode, range, std dev - **Comparative**: Ratios, percentages, differences - **Trend**: Growth rates, changes over time - **Statistical**: Confidence intervals, significance ### 4. Interpretation - Explain what results mean - Put numbers in context - Identify patterns/trends - Note limitations or caveats ## Common Calculations | Type | Formula | Use | |------|---------|-----| | Percentage | (part/whole) × 100 | Proportions | | Growth Rate | ((new-old)/old) × 100 | Change over time | | Average | Sum/Count | Central tendency | | Ratio | a:b | Comparative | | Probability | favorable/total | Likelihood | ## Best Practices - Show your work/calculations - Use appropriate precision - Include units - Verify calculations - Note assumptions - Provide context - Highlight key insights - Acknowledge limitations ## Presentation Present results: - Clearly and concisely - With appropriate visualizations if helpful - In context of the original question - With caveats if needed