Data Journalism vs Interview Transcription

Data Journalism

By James Anditis (Journalism)

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

Interview Transcription

By James Anditis (Journalism)

Turn audio interviews into clean, searchable transcripts with timestamps and pull quotes.

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

Interview Transcription

• Transcribes audio/video interviews into text with precise timestamps
• Extracts and organizes quotable moments with context and verification tracking
• Creates speaker-labeled transcripts with proper formatting
• Manages source databases with interview history and relationship notes
• Generates pre-interview prep checklists and research briefs

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 Interview Transcription when…

• You need to turn a recorded interview into a searchable, timestamped document
• You're pulling quotes from multiple interviews and need to track which source said what
• You're managing relationships with multiple sources and want organized notes
• You need to verify quotes against original recordings before publication