Data Analyzer

by Rehan-Ul-Haq

data

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Skill Details

Repository Files

1 file in this skill directory


name: data-analyzer description: | Analyzes datasets to extract insights, identify patterns, and create visualizations. This skill should be used when users want to explore data, perform statistical analysis, identify trends, or visualize patterns in structured data.

Data Analyzer

Extract insights from structured data through analysis and visualization.

What This Skill Does

  • Loads and validates data from various formats (CSV, JSON, Excel, SQL)
  • Performs exploratory data analysis (EDA)
  • Identifies patterns, correlations, outliers
  • Creates appropriate visualizations
  • Generates summary reports

What This Skill Does NOT Do

  • Machine learning / predictive modeling (use ML-specific tools)
  • Real-time streaming analysis
  • Big data processing (Spark, etc.)
  • Data pipeline orchestration

Before Implementation

Source Gather
Codebase Existing data files, database connections
Conversation Analysis goals, questions to answer
Skill References Statistical methods from references/

Required Clarifications

Clarification Why
Analysis goal Exploration vs specific question vs report
Data format CSV, database, API affects loading
Output format Charts, tables, written report
Key questions What insights are you looking for?

Analysis Workflow

1. Load → 2. Profile → 3. Clean → 4. Analyze → 5. Visualize → 6. Report

1. Load Data

Detect format, handle encoding, validate structure.

2. Profile Data

  • Shape (rows, columns)
  • Types (numeric, categorical, datetime)
  • Missing values
  • Unique counts

3. Clean Data

Based on findings:

  • Handle missing: drop, fill, interpolate
  • Fix types: dates, categories
  • Remove duplicates

4. Analyze

Analysis Type When to Use
Descriptive stats Summarize distributions
Correlation Find relationships
Groupby aggregation Compare segments
Time series Temporal patterns

5. Visualize

Data Type Visualization
Distribution Histogram, box plot
Comparison Bar chart, grouped bar
Relationship Scatter, heatmap
Trend Line chart
Composition Pie, stacked bar

6. Report

Summarize findings answering user's questions.


Pre-Delivery Checklist

  • Data loaded and validated
  • Missing values addressed
  • Analysis answers user's question
  • Visualizations have titles and labels
  • Insights clearly stated

Reference Files

File Use When
references/statistical-methods.md Choosing analysis approach
references/visualization-guide.md Selecting chart types

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Skill Information

Category:Data
Last Updated:1/7/2026