In short
Data visualization presents data in charts and graphs so patterns and outliers are easy to see. The chart should fit the question: line charts for trends over time, bar charts for comparing categories, scatter plots for relationships and histograms for distributions.
Key takeaways
- Truncated axes and 3D effects can mislead readers about the size of differences.
- Dashboards combine several visualizations for monitoring.
- Fewer, clearly labeled elements usually communicate better.
Where it's tested
BAR: Data Analytics for Accounting — study notes, a five-minute revision sheet and practice questions.
Practise: 3 questions
Question 1 of 3 · 0 answered
Which visualization is most appropriate for showing the composition of total expenses across several categories at a single point in time?