Looking at the information and applying EDA to the case study, there seem to be issues that could be able to focus on the analysis of data and data mining issues. There are some potential ethical implications that may also need to be addressed. The first hypothesis would be: There is a significant correlation between variable X and variable Y in the dataset. This would show a relationship between the factors of the demographics and the behavior of purchasing from the information in the data set. The second hypothesis could look at if there is a significant difference in the mean of a variable when it is grouped by categories in a different variable. The two variables being compared could be average sales in the different regions. Of the two hypotheses mentioned, the mean variable hypothesis and the significant difference could indicate if there was to be a focus on geographical expansion and possible improvement efforts. This is significant for companies as it will assist in reducing the dependence on the existing markets which will also minimize the risks that are associated with a market that is saturated (Elgarhy & Abou-Shouk, 2023). This will also allow companies to seize opportunities for revenue diversification that will allow the company to target multiple different audiences, find a way to leverage resources, and increase the profits (Guan et al., 2021).
Elgarhy, S. D., & Abou-Shouk, M. (2023). Effects of entrepreneurial orientation, marketing, and innovation capabilities, on market performance: the mediating effect of sustainable competitive advantage. International Journal of Contemporary Hospitality Management, 35
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Guan, S., Tian, S., & Deng, G. (2021). Revenue diversification or revenue concentration? Impact on financial health of social enterprises. Public Management Review, 23
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