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README.md

📂 Phase 03: Analyze Steam Data Sample

This phase documents systematic analysis of the 100-game sample dataset to understand JSON structure complexity, identify normalization opportunities, and design the hybrid PostgreSQL schema combining relational tables with JSONB preservation of nested structures.

Overview

Phase 03 transformed raw JSON samples into actionable database design through comprehensive schema analysis. The session revealed the full complexity of Steam's API responses including nested arrays, multi-language content, HTML-rich descriptions, and diverse content types. Analysis identified which structures should be normalized into relational tables versus preserved in JSONB columns, establishing the foundation for the multi-modal database architecture that would support both traditional SQL queries and advanced vector search capabilities.

📋 Directory Contents

This section provides systematic navigation to all files in this phase directory.

Key Documents

Document Purpose Link
phase-03-worklog-analyze-steam-data-sample.md Complete session log documenting schema analysis process and design decisions phase-03-worklog-analyze-steam-data-sample.md
schema_report_steam_data_sample_20250831_150545.md Generated analysis report documenting JSON structure patterns and database implications schema_report_steam_data_sample_20250831_150545.md

Scripts

Script Purpose Link
analyze_steam_data_schema.py Automated schema analysis script examining JSON structures analyze_steam_data_schema.py
100-game-steam-api-test.py Extended API validation script for diverse content types 100-game-steam-api-test.py
test-steam-api-v2.py Enhanced API testing with additional endpoints test-steam-api-v2.py
get_steam_data_sample.py Sample collection script from Phase 02 get_steam_data_sample.py

Utility Scripts

Script Purpose Link
steam-dataset-merger.sh Bash utility for combining multiple JSON dataset files steam-dataset-merger.sh

🗂️ Repository Structure

Visual representation of this phase's organization:

03-analyze-steam-data-sample/
├── 📋 phase-03-worklog-analyze-steam-data-sample.md   # Session log
├── 📊 schema_report_steam_data_sample_20250831_150545.md  # Analysis report
├── 🐍 analyze_steam_data_schema.py                   # Schema analysis script
├── 🐍 100-game-steam-api-test.py                     # Extended API testing
├── 🐍 test-steam-api-v2.py                          # Enhanced validation
├── 🐍 get_steam_data_sample.py                       # Collection script
├── 🔧 steam-dataset-merger.sh                        # JSON merge utility
└── 📂 README.md                                      # This file

File Descriptions:

🔗 Related Categories

This section establishes connections to related project phases and documentation.

Category Relationship Documentation
Phase 02: Sample Collection Provides the 100-game dataset analyzed in this phase ../02-steam-data-sample/README.md
Phase 04: PostgreSQL Schema Implements database design decisions made during this analysis ../04-postgresql-schema-analysis/README.md
Steam API Schema Analysis Published analysis documenting findings from this phase ../../docs/analytics/steam-api-schema-analysis.md

Phase Highlights

Analysis Findings

  • Content Type Distribution: 56% games, 20% DLC, 10% demos, 8% videos, 6% software/tools
  • Success Rate Patterns: 56% API success rate with distinct failure categories (delisted, regional, removed)
  • Structure Complexity: Identified 8 major normalized tables needed plus complex JSONB preservation requirements
  • HTML Richness: Confirmed descriptions contain embedded videos, images, and formatted text suitable for NLP

Schema Design Decisions

  • Hybrid Architecture: Combine relational normalization (developers, publishers, genres, categories) with JSONB preservation (complex nested structures)
  • Vector Search Preparation: Identified description fields suitable for embedding generation
  • Platform Support: Designed flexible schema handling Windows, Mac, Linux with system requirements
  • Multi-Currency Pricing: Planned structure supporting international pricing variations

Getting Started

For users exploring Phase 03:

  1. Start Here: phase-03-worklog-analyze-steam-data-sample.md - Read complete analysis process and design decisions
  2. Analysis Report: schema_report_steam_data_sample_20250831_150545.md - Review generated schema analysis findings
  3. Analysis Script: analyze_steam_data_schema.py - Examine automated JSON structure analysis
  4. Next Phase: Phase 04: PostgreSQL Schema - See database implementation of these design decisions

Document Information

Field Value
Author VintageDon - https://github.com/vintagedon
Created 2025-10-06
Last Updated 2025-10-06
Version 1.0

Tags: phase-03, schema-analysis, json-structure, database-design, hybrid-schema, data-quality