An interactive website exploring fraud case data through Altair visualizations, correlating reported fraud with socioeconomic indicators.
Authors

Zakaria Ali

Mohamed Bakr

Subhasis Das

Hyung Jin Kim

Eun-Hae Ko

Published

December 1, 2024

Modified

December 1, 2024

Website

Fraud Visualization

A website that explores alternative ways of representing the number of reported fraud cases using Altair. By analyzing the correlation between reported fraud cases and indicators such as corruption perception scores, GDP per capita, and average years of education, we aim to provide a more comprehensive view of the factors that influence fraud reporting and detection.

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Citation

For attribution, please cite this work as:
Bakr, Mohamed, Zakaria Ali, Mohamed Bakr, Subhasis Das, Hyung Jin Kim, and Eun-Hae Ko. 2024. “Fraud Visualization.” December 1. https://mohdbakr.com/projects/fraud-visualization/.