Supervisor: Laura Koesten, Regina Schuster
How do people perceive and interpret climate change visualizations? This project explores how individuals perceive and interpret data visualizations on climate change, based on data collected through an existing online survey. In this survey, participants provided insights into their experiences with visualizations, including reading accuracy, understandability, aesthetics, suggested improvements, or perceived take-away messages. You will develop your own research questions and explore the dataset to uncover patterns and relationships.
Key challenges:
- Conducting exploratory data analysis of an existing survey dataset.
- Identifying themes and key questions from survey data.
- Performing quantitative analysis, including descriptive and inferential statistics.
- Analyzing free-text responses (thematic analysis).
Prerequisites: FDA, VIS
Programming languages: Python or R
Contact: Laura Koesten, Regina Schuster