Streamlines data journalism projects with specialized workflows for data acquisition, cleaning, analysis, and storytelling.
The Data Journalism skill equips Claude with a rigorous, scientific methodology for transforming raw datasets into compelling news stories and academic research. It provides comprehensive frameworks for structured reporting, templates for transparent methodology documentation, and pre-built Python snippets for cleaning messy data, identifying outliers, and calculating journalist-friendly statistics. Whether you are navigating FOIA requests, analyzing public records, or building data-driven narratives, this skill ensures accuracy, transparency, and narrative impact throughout the editorial process.
主要功能
01Python-based data cleaning and validation scripts using pandas and rapidfuzz
0241 GitHub stars
03Standardized methodology documentation for transparent and verifiable reporting
04Structured data storytelling frameworks and narrative arc templates
05Statistical analysis helpers for calculating medians, skews, and per-capita rates
06Curated directory of public data sources and FOIA request strategies
使用场景
01Transforming quantitative findings into human-centered narratives with proper context
02Drafting formal FOIA requests and methodology sections for public records research
03Cleaning and analyzing complex government datasets for investigative reporting
