PHPMem v2.0.1

Version
1.6.45
Uptime
7 days 11 hours 36 minutes 37 seconds

Memory

Total
512MB
Used
13,32MB (2.6%)
Free
498,68MB

Keys

Current
10 162
Total (since start)
11 092
Evictions
0
Reclaimed
157
Expired Unfetched
0
Evicted Unfetched
0

Connections

Current
2 / 1 024 max
Total
67 004
Rejected
0
llm:11eab59e79a087168be103404d7815909e0b45f6fc4adf63457d886f2a1131ca
TTL 2 hours 39 minutes 52 seconds Size 2,20KB Export
Edit
### 1.1 Business Data Landscape This dataset captures the historical landscape of professional boxing championship titleholders across multiple weight divisions and sanctioning organizations. The single table, **championsdataset**, serves as a comprehensive registry of 144 championship records, documenting which fighters held titles, under which governing bodies, and across which weight classes. The data structure reflects the fragmented nature of professional boxing itself, where multiple organizations (WBA, WBC, IBF, WBO) simultaneously recognize different champions in overlapping weight categories. This flat-file architecture suggests a reference or lookup table designed to answer questions about championship lineage, title consolidation, and fighter dominance across eras. The dataset provides a foundation for analyzing competitive dynamics in a sport where legitimacy and recognition are distributed across competing sanctioning authorities. ### 1.2 Key Data Assets | Table | Role | Rows | % of Total | Size | |-------|------|-----:|----------:|-----:| | championsdataset | path | 144 | 100.0% | 0.2 MB | The **championsdataset** table represents the entirety of this data asset, functioning as a master registry of boxing championship records. Its dominance at 100% of total rows reflects the dataset's focused scope: cataloging title holders rather than modeling the broader ecosystem of fights, rankings, or fighter careers. ### 1.3 Data Integration Posture This dataset operates as a standalone reference table with zero detected relationships to external data sources. The absence of foreign keys or join paths means cross-functional analysis—such as linking champions to fight outcomes, purse earnings, or biographical details—requires manual enrichment or integration with supplementary datasets. For organizations seeking to build richer analytics around fighter performance, promotional value, or historical trends, this table serves as a starting point that will need augmentation with transactional fight data, financial records, or athlete demographics to unlock deeper strategic insights.