PART 3 | Survey Data Essentials: Survey Data Analysis — Turning Data into Insights

Join us for Part 3 of our Survey Data Essentials series with Joy Liu: Survey Data Analysis — Turning Data into Insights. 

Learn how to prepare, explore, visualize, and interpret survey data using descriptive statistics and introductory analysis in R. 

Once survey data have been collected, the next step is turning responses into meaningful insights. This introductory session provides a practical overview of preparing, exploring, visualizing, and analyzing survey data. Participants will learn how to summarize variables, examine relationships, and communicate findings while considering the strengths and limitations of their data.

Series Takeaways

• Learn how to design surveys and questions that produce clear, reliable, and useful data;

• Learn how to select an appropriate sample and recognize factors that can affect the representativeness and quality of your data; and

• Learn how to turn survey responses into meaningful insights through data preparation, visualization, and basic statistical analysis. 

Meet Your Presenter - Joy Liu, Dalhousie University

Joy is a data-driven researcher with expertise in transforming complex datasets into clear, actionable insights using R, SQL, and advanced analytical tools.

Her work focuses on statistical modelling, data quality, and translating technical findings into accessible information that supports informed decision-making. With strengths in research, technical communication, and emerging AI-supported approaches, Joy brings a thoughtful and analytical perspective to helping organizations better understand their data and apply it effectively.