The European Social Survey (ESS) provides high-quality open access data measuring public attitudes, beliefs and behaviour. In today’s paper I’ll be inspecting the whole dataset and the special variable “hincfel” feeling about households income nowadays.These results provide insight into economic well-being across European populations, highlighting disparities in perceived financial security. I’ll use only Apriori algorithm to uncover some patters, keeping “hincfel” as a rule consequent. Later, there will be appropriate vizualizations such as parallel coordinates plot, bar chart, scatter plot, network graph and lastly sankey diagram.

There are several ways of revolutionizing your business from customer experience to innovation. While elevating the current new technologies or simply automating monotonous/repetitive tasks would keep you both up-to-date and reduce costs, understanding your customer and thier needs might benefit you as much as the innovation does. In order to achive this one can simply create engaging customer experience, by just knowing the customer inside out. This means understanding their needs, preferences, and behaviors. To really understand what customers want, businesses can use association analysis to find those hidden connections in shopping patterns. Think of it like this: every time a customer shops, their choices tell a story about what they like, what they need, and even what they might buy next. By digging into these patterns, we can figure out what products go well together and use that info to make smarter decisions.

There are several ways of revolutionizing your business from customer experience to innovation. While elevating the current new technologies or simply automating monotonous/repetitive tasks would keep you both up-to-date and reduce costs, understanding your customer and their needs might benefit you as much as the innovation does. In order to achive this one can simply create engaging customer experience, by just knowing the customer inside out. This means understanding their needs, preferences, and behaviors. To really understand what customers want, businesses can use association analysis to find those hidden connections in shopping patterns. Think of it like this: every time a customer shops, their choices tell a story about what they like, what they need, and even what they might buy next. By digging into these patterns, we can figure out what products go well together and use that info to make smarter decisions.

The World Development Indicators dataset, derived from the World Bank’s Data portal, evaluates various economic, social, and environmental metrics across more than 190 countries. These indicators assess critical dimensions such as health, education, poverty, and infrastructure, providing insights into the developmental progress and challenges faced by different nations. By applying clustering and dimensionality reduction techniques to this dataset, we can uncover patterns in how countries perform across these indicators, group them based on similar developmental characteristics, and identify the key factors that influence overall development. This analysis helps to compare and contrast countries’ progress and supports targeted policy-making and investment decisions aimed at improving global development outcomes.