Data are often stored in tables or databases, which provide information about size and variable types but reveal little about underlying patterns. This workshop introduces graphical and numerical techniques to uncover data structure and summarize distributions effectively.

We will explore key descriptive statistics—such as measures of central tendency (mean, median), variability (standard deviation, interquartile range) and shape (skewness, kurtosis)—alongside visual tools like histograms and boxplots. A systematic approach for examining relationships between variables will also be discussed.

Understanding these connections is essential for designing analyses that yield meaningful insights. Early exploration of correlations plays a critical role before relating potential predictors to response variables.

This is an online event open to all; please register to receive the link. Presentation materials and a recording will be shared with registrants after the workshop. If you have accommodation requests or questions, reach out to [email protected] with your needs.

Please note: This is the first of four workshops for Love Data Week. You do not need to attend all four; please register for each workshop separately.