Data Journalism vs Newsroom Style

Data Journalism

By James Anditis (Journalism)

Turn datasets into stories with cleaning, analysis, and visualization workflows.

Newsroom Style

By James Anditis (Journalism)

Apply professional journalism style (AP, Chicago) to articles, press releases, and news copy.

Data Journalism

• Cleans messy datasets by standardizing formats, handling missing values, and flagging duplicates
• Guides you through the full data journalism process from hypothesis to publication
• Provides templates for methodology documentation and story structure
• Connects you to major public data sources like Census Bureau, BLS, FDA, and state portals
• Handles common data problems like inconsistent dates, outliers, and similar names

Newsroom Style

• Applies AP Style rules for numbers, dates, titles, and attribution to your writing
• Converts informal drafts or notes into clean, publishable journalism-style copy
• Writes headlines and ledes (opening paragraphs) that follow newsroom conventions
• Flags common errors like incorrect attribution, wrong number formatting, or passive voice
• Reformats content to follow inverted pyramid structure with short paragraphs

Reach for Data Journalism when…

• You're building a story from public datasets and need to verify your findings
• You have messy data with inconsistent formatting and missing values
• You need to explain your methodology clearly to readers
• You're looking for reliable data sources for research or reporting

Reach for Newsroom Style when…

• You're writing a press release or media advisory and need it to sound professional
• You're editing an article or blog post to match journalism standards
• You need to convert interview notes or rough drafts into publishable copy
• You're creating news-style social media posts or headlines for your company