Research Population
This graph represents the distribution of participants across the different age groups, which provides a clear overview of demographic representation within the data. Understanding the age distribution of participants is crucial for analysing age-related patterns found in the rest of my data. As you can see, the majority of the participants were under the age of 18.
Devices used
This graph shows the number of participants using each type of device. This offers insight into user preferences for online shopping and technological engagement patterns across the sample population. Understanding which device type is most used by participants allows developers and businesses to ensure that their products are easily accessible virtually and that the user experience is optimised. For example, businesses could ensure that their online stores are compatible with multiple device types to avoid any accessibility barriers.
Satisfaction with package delivery time
This graph shows the levels of customer satisfaction (ranging from 1-5) in relation to the delivery time of their packages, highlighting how timely delivery impacts the overall user experience. This data helps identify how well logistics meet customer expectations and provides businesses with a good idea of the timeframe in which their packages should arrive to maximise customer satisfaction.
Device type by age group
This graph illustrates both the number and type of devices most commonly used within each age group, offering insight into technological preferences and usage patterns across different demographics. Understanding which devices are most popular among various age groups helps businesses design user- friendly experiences, advertisements and communication methods specifically for their target audience.
High Satisfaction
This query shows the highest satisfaction scores (larger than or equal to 4 in a range of 1-5) by frequency of online shopping and time taken. This was to find overlapping criteria for the most satisfied clients. This data would help businesses determine the best time for package delivery to customers with different online shopping frequencies.