Data can be represented through tables, charts, graphs, maps, dashboards, and infographics. The best representation depends on the data type, the intended message, and the audience; this is part of IB Digital Society topic 3.1 Data and is shared by SL and HL.
Data representation means organizing or displaying data so that patterns, comparisons, relationships, and trends can be understood. Representation turns raw data into more meaningful information, but it also involves choices about what to include, emphasize, or omit.
| Representation | Best used for | Example |
|---|---|---|
| Table | Showing exact values or detailed records | Internet access rates by country and year |
| Bar chart | Comparing separate categories | Smartphone ownership by age group |
| Line graph | Showing change over time | Growth in global internet use since 2000 |
| Pie chart | Showing simple proportions of a whole | Share of users on different platforms |
| Histogram | Showing the distribution of continuous numerical data | Daily screen-time ranges among students |
| Scatter graph | Identifying a possible relationship between two variables | Screen time compared with hours of sleep |
| Map | Showing geographical patterns | Broadband availability across regions |
| Dashboard | Combining live or regularly updated indicators | A school attendance and performance dashboard |
| Infographic | Combining data, short text, and visuals for rapid communication | A summary of the digital divide |
The representation chosen can shape interpretation. For example, changing a graph's scale may exaggerate or minimize a trend, while an infographic may simplify complex data to make it accessible. The common misconception is that visual representations are automatically objective. In fact, designers exercise power by selecting the data, scale, labels, colours, and comparisons that audiences see.
In an IB exam, an analyse question requires you to break down how a representation communicates meaning, including what it emphasizes or excludes. For source-based Paper 2 questions, examine the source's origin and purpose, its visual methods, and whether its claims are supported by the displayed data. Avoid merely naming the chart type; explain why that format is appropriate and how its design may influence interpretation.
