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The image illustrates online shopping activity during weekdays in 2015 segmented by age: 16-24 years (magenta), 25-34 years (orange), 35-44 years (purple), 45-59 years (blue), and 60+ years (green) across time slots. Before 9 am: 16-24 years (6.5), 25-34 years (8), 35-44 years (7.5), 45-59 years (10), 60+ years (1). 9 am-12 pm: 16-24 years (13 average), 25-34 years (17), 35-44 years (12), 45-59 years (20), 60+ years (3 average). 12 pm-2 pm: 16-24 years (13), 25-34 years (9), 35-44 years (18), 45-59 years (14), 60+ years (9). 2 pm-4 pm: 16-24 years (14), 25-34 years (19), 35-44 years (not charted), 45-59 years (14), 60+ years (8). 4 pm-6 pm: 16-24 years (24.75 average), 25-34 years (29.5), 35-44 years (30), 45-59 years (25), 60+ years (10.5). 6 pm-8 pm: 16-24 years (31), 25-34 years (33 average), 35-44 years (30), 45-59 years (35), 60+ years (19). 8 pm-10 pm: 16-24 years (29), 25-34 years (31), 35-44 years (27), 45-59 years (29), 60+ years (15). 10 pm onwards: 16-24 years (15), 25-34 years (12), 35-44 years (10), 45-59 years (11), 60+ years (6).
Given the complexity of the image, the above description may not be entirely accurate.
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The given line chart illustrates the information about online shopping by the age group for the different times in day of year 2005. Overall, sales of online shopping for people of different ages increased mostly with varying degrees of given period.
Having a closer look at details, sales from people’s age ranges between 35-44 and 45-59 show similar pattern. Online shopping starts with almost 5% sales before 9am which later at 12pm increased slightly to 13% for then remains partially same between 4-6pm. After 6pm, There was insignificantly rise in sales to 32% and 25% respectively before 8pm where it peaks. Afterwards, graphs show sales declined marginally to 10% and 5% at 10pm and onwards.
On the other hand, the sales of teenagers and young people with age range 16 to 34 shows increase for most of the time. Before 9am both started with 5%. Over the following time, there was continuous increase where it peaked at 27% and 33% between 6pm to 8pm. Latterly, from time between 6pm to before 8pm till the times end at 10pm, there was a steady drop. While the elders, above 60%, show fluctuated downward sales throughout the timeline. The sales started at 4%, slightly increasing to 18% before 12pm and then throughout time sales fell gradually to 3% at 10pm onwards.
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