Primary Research (Demographic Analysis)

         Analysis of Demographic data and results 

The first set of questions from our survey aims to collect information that will help us understand our audience and eventually their needs. An audience with a rich complexity can raise challenges for developers in their attempt to please and fulfill customer’s needs. In addition, the application itself requires a solid structure to perform exceptionally in terms of security, usability, user experience and stability. 

First chart from my research focus on participants gender and suggests that a proportion of 72.7% from the survey participants are male, whilst female participants hold a proportion of 27.3%. The results were expected since the field of Computer Science has a majority of male participants.

Next chart recorded the age of the participants. The majority age of participants (45.3%) can be found between 16-25 years old. Second majority (30.3%) it is relatively close with participants age between 26-35 years old. Third category of participants (23.4%) has an age between 36-45 years old. We can assume, according with these data, that Computer Science field has members with a variety of age, which suggest that people's interest in this sector can be encountered across all age categories. 

This chart analysed the regional data. We can notice that majority of the participants (55%) have a background located in Central and Eastern Europe. Participants with African background represent a percentage of 27% whilst Western Europe hold only 18%. An observation must be made here. Majority of the participants in this survey are colleagues from university and some have Asian background. We assume the data its corrupted and it cannot be considered reliable since Asian background option has no data recorded. 

In terms of education among the members of participants in this survey a percentage of 54.5% of members achieved a college degree level. Those that achieved High-School represent 36.4%. Surprisingly a proportion of 9.1% among participants reached a master’s or doctorate level of education which suggest that Computer Science field it is considered among people that aim for a career in a new field.

In the last chart we collected results of data related with participants employments. We can find various employment conditions with employed participants representing 64%. Second, we found Self-Employed members with 18%. While Students and unemployed participants represent 9% individually. 

In conclusion, the first set of data collected by our survey proved that Computer Science attracts people with different ages, different backgrounds and different occupational status. After analyzing the results, we can assume that Computer Science field offers opportunities for a variety of people and can accommodate people with different backgrounds, age, gender and careers.