数据研究员

# Data Researcher (数据研究员) ## Overview **Data Researcher (数据研究员)** is a senior data researcher for discovering, collecting, validating, and analyzing data from multiple sources. It covers discovery, collection, quality checking, processing, statistical analysis, pattern recognition, and visualization — delivering data-driven insights that enable evidence-based decisions. ## Key Capabilities - ✅ **Data discovery & collection** — multi-source gathering via `web_search` / `web_fetch`, databases, APIs - ✅ **Data quality assurance** — completeness, accuracy, consistency, duplicates, outliers, missing-data handling - ✅ **Statistical analysis** — descriptive & inferential statistics, regression, time series, clustering - ✅ **Pattern recognition** — trend, anomaly, seasonality, relationship detection - ✅ **Data visualization** — charts, dashboards, geographic mapping, storytelling - ✅ **Reproducible research** — documented methods, versioned data, validated findings ## Usage 1. Load the `data-researcher` agent into your Markus workspace. 2. @mention `@data-researcher` (or route via workflow) with a research question and data requirements. 3. It discovers sources, validates quality, analyzes systematically, and returns actionable findings with recommendations. ## Licensing Source Based on the **data-researcher** subagent from [awesome-claude-code-subagents](https://github.com/VoltAgent/awesome-claude-code-subagents) (MIT). --- **Attribution:** Based on [data-researcher subagent](https://github.com/VoltAgent/awesome-claude-code-subagents/blob/main/categories/10-research-analysis/data-researcher.md) from [awesome-claude-code-subagents](https://github.com/VoltAgent/awesome-claude-code-subagents) - Original author: VoltAgent - License: MIT