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data-journalism

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Turn data into compelling, data-driven stories.

Data & Analytics#storytelling#python#visualization#data-analysis#newsroom#data-journalism
Authorjamditis
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Journalists often struggle to turn raw datasets into actionable narratives. This Skill provides end-to-end workflows for data collection, cleaning, analysis, visualization, and storytelling to accelerate data-driven reporting.

Core Features & Use Cases

  • Data acquisition and cleaning: ingest datasets from public sources, FOIA dumps, or CSV files, then clean and normalize data for analysis.
  • Analysis and visualization: perform descriptive statistics, correlations, and produce charts/maps to support a data story.
  • Storytelling workflow: turn findings into publish-ready narratives with context, caveats, and sources for newsroom use.
  • Use Case: A newsroom receives a CSV of election results; this Skill guides you from data wrangling through visualization and a narrative outline.

Quick Start

Analyze a CSV file and generate a data-driven story with charts and a narrative outline.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: data-journalism
Download link: https://github.com/jamditis/claude-skills-journalism/archive/main.zip#data-journalism

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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