Graphics Visualizing Target Population

Graphics is an important form to visualize one data from others. This technique is useful to visualize the target population for any purpose. For example, I referred to Nepal’s population census 2011 data to get population values to visualize the number of male household heads from urban areas of Nepal belonging to the age group of 50 years and above. I used four criteria to filter and get target population data – male, age group, administrative setting (urban), and position or role in a household (household head).

An outermost blue circle shows the total population of Nepal, which is 26,494,504. It is followed by a red circle showing the male population which is 49 percent of the total population. An inner third yellow circle shows the male population aged 50 years and above, which is 15 percent of the total male population. An inner dark ash-colored circle shows the urban male population aged 50 years and above, which is 15 percent of total males aged 50 years and above. Lastly, an innermost green circle shows the number of urban male household heads aged 50 years and above, which is 81 percent of total urban males aged 50 years and above and 1.9 percent of the total male population in Nepal.

These data are visualized in both stacked Venn and horizontally hierarchical diagrams in Figures 1 and 2 respectively.

Figure 1: Target population of urban male household heads aged 50 years and above shown in a stacked Venn diagram

Figure 2: Target population of urban male household heads aged 50 years and above shown in a horizontally hierarchical diagram

In a nutshell, visualizing filtered data in different diagrammatic forms is a cool way.