data-analysis

name	data-analysis
description	Data analysis, statistical reasoning, quantitative insights, and numerical problem-solving
metadata	{"version":"1.0.0","author":"HALO Core","tags":["data-analysis","statistics","quantitative","calculations"]}

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