A lot of new editors treat charts as decoration. They check the caption, maybe glance at the title, then move on to the prose.
That approach misses the most common error in data journalism: the text says one thing and the chart shows another.
What the chart actually tells you
Before editing a single sentence, open the original chart or dataset. Look at the axis labels. Check whether the scale starts at zero or somewhere else — a truncated axis can make a small change look dramatic.
Then read the article headline. Does it match what the data actually shows, or does it overstate the trend?
Three fast checks for any data visual
- What is the unit of measurement — people, percentages, euros, incidents per 1,000?
- Is the comparison group clearly defined or assumed?
- Does the visual show correlation being presented in the text as causation?
A real scenario beginners face
Imagine an article on a news feed portal reporting that complaints about a service rose sharply last quarter. The chart shows a rise — but the footnote says the reporting method changed, so more complaints were captured, not necessarily filed.
The text does not mention the footnote. That is the edit.
The habit to build now
Always read the methodology note or data footnote before editing the surrounding prose. Writers often do not see it. Editors who do catch the stories that would otherwise need corrections after publication.
It is a small shift in workflow, but it changes the quality of what you pass through.