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the number of students participating in the labour force was 252 in january, 252 in february, 255 in march, 256 in april, 282 in may, 290 in june and 319 in july. when examined further, the graph indicates that the labour force
participation of these students was at a plateau for the first four months covered by the graph (january to april), and for the next three months (may to july) the number increased steadily.
figure 1. labour force participation in andrews high school
example 2 – comparing two related variables
figure 2 is a single line graph comparing two items; in this instance, time is not a factor. the graph compares the
number of dollars donated by the age of the donors. according to the trend in the graph, the older the donor, the more money he or she donates. the 17-year-old donors donate, on average, $84. for the 19-year-olds, the average donation increased by $26 to make the average donation of that age group $110.
figure 2. average number of dollars donated at evergreen high school, by age of donor
example 3 – using correct scale
when drawing a line, it is important that you use the correct scale. otherwise, the lines shape can give readers the wrong impression about the data. compare figure 3 with figure 4:
figure 3. number of guilty crime offenders, grishamville
figure 4. number of guilty crime offenders, grishamville
using a scale of 350 to 430 (figure 3) focuses on a small range of values. it does not accurately depict the trend in guilty crime offenders between january and may since it exaggerates that trend and does not relate it to the bigger picture. however, choosing a scale of 0 to 450 (figure 4) better displays how small the decline in the number of guilty crime offenders really was.
example 4 – multiple line graphs
a multiple line graph can effectively compare similar items over