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# Table 2 Activities 2 & 3 data visualization examples and justification for inclusion

Set Card Description of key message Type of visualization Justification
Activity 2
1 1 Comparison by wealth quintile (equity groups) Bar chart Common approach towards visualizing categories of data.
2 Dot plot Coined as “equiplots” by the International Center for Equity in Health at the University of Pelotas, dot plots are used increasingly in global health to visualize equity [37,38,39,40].
3 Dot plot Intentionally included because it is very difficult to interpret in the context of the key message.
2 1 Comparison among six groups at two time points Bar chart Common approach towards visualizing categories of data.
2 Slope graph People have an easier time judging changes in slope and slope graphs are alternatives to bar graphs [7, 8, 11, 12].
3 Dumbbell plot People have an easier time interpreting dots on a common plane, and dot plots are alternatives to bar graphs [7, 8]. Dot plots are used increasingly to visualize equity [37,38,39,40].
3 1 Comparison of proportions 100% stacked bar charts People have an easier time interpreting perpendicular angles and comparisons within the same plane. This is advocated as a preferred approach over a comparison of two pie chart [7, 8].
2 Pie charts This is the most common approach to comparing proportions. Data visualization research suggest this is more difficult to interpret because people have a harder time accurately comparing angles and wedges [7, 8].
3 Bar charts Intentionally included because it is very difficult to interpret in the context of the key message.
Activity 3
1 1 Trend over time with uncertainty Line graph with shaded confidence intervals Alternative approach towards visualizing confidence intervals [8, 34]. Has been use by UNICEF and Countdown to 2030 [41, 42].
2 Line graph with error bars Standard approach towards visualizing confidence intervals [8, 34].
2 1 Comparison among groups with uncertainty Bar chart with error bars Standard approaches towards visualizing categories of data and confidence intervals [8, 34].
2 Dot plot with error bars Dots improve data-ink ratio and are combined with a standard approach towards visualizing confidence intervals [8, 11, 34].
3 Dot plot with shaded error bars Dots improve data-ink ratio and are combined with a shaded confidence interval bar given people incorrectly interpret error bars [8, 11, 34].
3 1 Comparison of proportion with absolute numbers Stacked bar chart Correctly captures both absolute numbers and proportions.
2 100% stacked bar chart Intentionally included because it does not fully capture the key message.