gh-k-dense-ai-claude-scientific-skills-scientific-skills/skills/exploratory-data-analysis/assets/report_template.md

Exploratory Data Analysis Report: {FILENAME}

Generated: {TIMESTAMP}

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Executive Summary

This report provides a comprehensive exploratory data analysis of the file {FILENAME}. The analysis includes file type identification, format-specific metadata extraction, data quality assessment, and recommendations for downstream analysis.

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Basic Information

• Filename: {FILENAME}
• Full Path: {FILEPATH}
• File Size: {FILE_SIZE_HUMAN} ({FILE_SIZE_BYTES} bytes)
• Last Modified: {MODIFIED_DATE}
• Extension: .{EXTENSION}
• Format Category: {CATEGORY}

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File Type Details

Format Description

{FORMAT_DESCRIPTION}

Typical Data Content

{TYPICAL_DATA}

Common Use Cases

{USE_CASES}

Python Libraries for Reading

{PYTHON_LIBRARIES}

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Data Structure Analysis

Overview

{DATA_STRUCTURE_OVERVIEW}

Dimensions

{DIMENSIONS}

Data Types

{DATA_TYPES}

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Quality Assessment

Completeness

• Missing Values: {MISSING_VALUES}
• Data Coverage: {COVERAGE}

Validity

• Range Check: {RANGE_CHECK}
• Format Compliance: {FORMAT_COMPLIANCE}
• Consistency: {CONSISTENCY}

Integrity

• Checksum/Validation: {VALIDATION}
• File Corruption Check: {CORRUPTION_CHECK}

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Statistical Summary

Numerical Variables

{NUMERICAL_STATS}

Categorical Variables

{CATEGORICAL_STATS}

Distributions

{DISTRIBUTIONS}

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Data Characteristics

Temporal Properties (if applicable)

• Time Range: {TIME_RANGE}
• Sampling Rate: {SAMPLING_RATE}
• Missing Time Points: {MISSING_TIMEPOINTS}

Spatial Properties (if applicable)

• Dimensions: {SPATIAL_DIMENSIONS}
• Resolution: {SPATIAL_RESOLUTION}
• Coordinate System: {COORDINATE_SYSTEM}

Experimental Metadata (if applicable)

• Instrument: {INSTRUMENT}
• Method: {METHOD}
• Sample Info: {SAMPLE_INFO}

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Key Findings

1. Data Volume: {DATA_VOLUME_FINDING}
2. Data Quality: {DATA_QUALITY_FINDING}
3. Notable Patterns: {PATTERNS_FINDING}
4. Potential Issues: {ISSUES_FINDING}

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Visualizations

Distribution Plots

{DISTRIBUTION_PLOTS}

Correlation Analysis

{CORRELATION_PLOTS}

Time Series (if applicable)

{TIMESERIES_PLOTS}

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Recommendations for Further Analysis

Immediate Actions

1. {RECOMMENDATION_1}
2. {RECOMMENDATION_2}
3. {RECOMMENDATION_3}

Preprocessing Steps

• {PREPROCESSING_1}
• {PREPROCESSING_2}
• {PREPROCESSING_3}

Analytical Approaches

{ANALYTICAL_APPROACHES}

Tools and Methods

• Recommended Software: {RECOMMENDED_SOFTWARE}
• Statistical Methods: {STATISTICAL_METHODS}
• Visualization Tools: {VIZ_TOOLS}

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Data Processing Workflow

{WORKFLOW_DIAGRAM}

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Potential Challenges

1. Challenge: {CHALLENGE_1}

   • Mitigation: {MITIGATION_1}

2. Challenge: {CHALLENGE_2}

   • Mitigation: {MITIGATION_2}

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References and Resources

Format Specification

• {FORMAT_SPEC_LINK}

Python Libraries Documentation

• {LIBRARY_DOCS}

Related Analysis Examples

• {EXAMPLE_LINKS}

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Appendix

Complete File Metadata

{COMPLETE_METADATA}

Analysis Parameters

{ANALYSIS_PARAMETERS}

Software Versions

• Python: {PYTHON_VERSION}
• Key Libraries: {LIBRARY_VERSIONS}

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This report was automatically generated by the exploratory-data-analysis skill. For questions or issues, refer to the skill documentation.