The short version
Data Journalism
By James Anditis (Journalism)
Turn datasets into stories with cleaning, analysis, and visualization workflows.
Write Concisely
By Productivity and Collaboration
Apply classic writing principles to make your docs clear, professional, and easy to read.
What each one does
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
Write Concisely
- Applies grammar and punctuation rules from *The Elements of Style* to improve clarity
- Eliminates needless words and strengthens sentence structure
- Enforces active voice and positive phrasing for directness
- Ensures related words stay together and emphatic words land at sentence end
- Checks for common usage mistakes and misused expressions
When to pick each one
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 Write Concisely when…
- You're writing documentation, PRDs, or specs and want them to be clear and professional
- You need to tighten up verbose emails or internal communications
- You're drafting content for stakeholders and want to sound polished
- You want your writing to be direct and easy to understand
Quick facts
| Data Journalism | Write Concisely | |
|---|---|---|
| Made by | James Anditis (Journalism) | Productivity and Collaboration |
| Category | Writing | Writing |
| Source | View ↗ | View ↗ |
| Detail page | Open | Open |