In this project, we explore the European Social Survey (ESS) dataset to gain insights into the intricate relationships between various socio-demographic factors and individuals' perceptions of trust, happiness, and social activities. The primary aim is to uncover patterns and connections that provide a deeper understanding of how factors like age, education level, and gender influence these perceptions in the European context. We begin by meticulously preparing the dataset, ensuring its cleanliness and structure. We then delve into data exploration and visualization, employing techniques like histograms and scatter plots to visually depict distributions and correlations. Subsequently, we subject our hypotheses to statistical testing, employing linear regression to determine the impact of education level on trust, happiness, and social activities. The findings we uncover are diverse and revealing. We identify correlations between education level and trust, and also observe how education level and social activities intersect. Additionally, we investigate whether education level significantly affects happiness and attempt to quantify this relationship. However, the project acknowledges its limitations. While we can identify correlations, establishing causality requires further research. Furthermore, our analysis focuses on a subset of factors, leaving room for exploration of other unconsidered variables. Moreover, we recognize data quality issues that may impact the reliability of our conclusions. In conclusion, this project offers a comprehensive exploration of socio-demographic influences on trust, happiness, and social activities, drawing valuable insights from the intricate interplay of factors. By providing a comprehensive overview, we seek to contribute to a broader understanding of human behaviors and emotions within the European social landscape.

Cousera Case Study