Abstract: The COVID-19 pandemic brought into focus the importance of data-driven insights to inform public health decisions. Exploratory Data Analysis (EDA) was extensively employed to gain insight ...

Washington and Lee University Center for International Education Spring Term Abroad Spring Term Abroad 2026 MATH 165/DS 165 – Exploratory Data Analysis in Global Contexts ...

In this tutorial, we demonstrate how to move beyond static, code-heavy charts and build a genuinely interactive exploratory data analysis workflow directly using PyGWalker. We start by preparing the ...

Are you looking to get experience with Excel for use in your projects, theses or on the job? Join Daria Orlowska, data librarian, for a live demonstration of combining, organizing and analyzing data.

ABSTRACT: Improved accuracy in predicting corporate financial fraud significantly enhances regulatory efficiency and market stability. However, detecting increasingly sophisticated fraud patterns ...

Development and Validation of a Revised Multidimensional Digital Health Literacy Scale: Secondary Analysis Using Cross-Sectional Data From the 2022 GetCheckedOnline Community Survey In British ...

Epilepsy is a common central nervous system disorder characterized by abnormal brain electrical activity. Diagnosing epilepsy can be challenging, as it has various causes and different clinical ...

In this project, I worked with transactional data from an online retail store. The dataset contained information about customer purchases, including product details, quantities, prices, and timestamps ...

Regex is a powerful – yet overlooked – tool in search and data analysis. With just a single line, you can automate what would otherwise take dozens of lines of code. Short for “regular expression,” ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Correlative imaging is a powerful analytical approach in bioimaging, as it offers ...