This project analyzes the World Happiness Index 2023 data to explore the relationship between happiness and various factors such as Gross Domestic Product (GDP), social support, life expectancy, and freedom of choice. Using R Studio, we created visualizations to compare happiness across countries and highlight key drivers of well-being.
The findings suggest that addressing non-economic factors—such as enhancing social trust, reducing corruption, and fostering individual autonomy—can significantly improve happiness worldwide, irrespective of economic standing.
In this project, I utilized web scraping techniques to gather data and analyze trends surrounding the most challenged books. By collecting and analyzing information, I aimed to uncover patterns in the frequency and reasons behind challenges to literary works. The project involved extracting data, applying analytical methods to identify common themes or contentious topics, and presenting findings that shed light on societal attitudes towards literature and censorship. Ultimately, this exploration provided valuable insights into the cultural impact and ongoing discussions surrounding freedom of expression in literature.
In this project, I conducted a usability evaluation of a Keurig coffee machine, focusing on key usability principles such as visibility, feedback, constraints, consistency, and affordances. The study aimed to assess how easily users could interact with the machine to brew coffee effectively. I analyzed the visibility of controls and indicators, evaluated the feedback provided during operation, examined constraints that guided user actions, checked for consistency in design elements across functions, and assessed how well the machine's features suggested their use (affordances). Findings from this evaluation rovided insights into the machine's user-friendliness and informed recommendations for enhancing its usability to improve the overall user experience