https://e343c64b.dataagentx.pages.dev/en/tags/skill-specialization/Recent content in Skill Specialization on DataAgentXHugoen-USTue, 20 Oct 2026 00:00:00 +0000https://e343c64b.dataagentx.pages.dev/en/tech/20261020-hotel-brand-ranking/Tue, 20 Oct 2026 00:00:00 +0000https://e343c64b.dataagentx.pages.dev/en/tech/20261020-hotel-brand-ranking/<p><a href="https://e343c64b.dataagentx.pages.dev/images/articles/hotel-brand-ranking/core-en.svg"><img src="https://e343c64b.dataagentx.pages.dev/images/articles/hotel-brand-ranking/core-en.svg" alt="From Full Table to Eligible Sample: How Qualification and Denominator Change Rankings"></a></p> <p>Why doesn&rsquo;t a brand with an average 5-star rating always rank first on the hotel brand leaderboard?</p> <p>This walkthrough follows the complete pipeline using public benchmark questions: Data → Question → Solution → Validation. The focus is not merely on calculating the answer, but on understanding how qualification thresholds and denominator selection alter conclusions.</p> <h2 id="data-and-questions">Data and Questions</h2> <p>The dataset is InfiAgent-DABench, which evaluates the ability to truly execute analysis and deliver results starting from CSV files, natural language questions, and constraints. This fixed question set contains 257 questions referencing 52 CSV files; here, we use only <code>hotel_data.csv</code>, comprising 1,057 rows and 9 columns, covering 7 cities and 103 non-null brands, with each row representing a hotel record.</p>