Therefore, this tutorial describes the use of traditional qualitative methods to analyze a large corpus of qualitative text data. We use examples from a nationwide SMS text messaging poll of youth to ...

Abstract: A methodology for dynamic code analysis for SQL injection detection (DCAD) has been developed. It includes the stages of identifying data entry points, tracking data flows, generating test ...

Abstract: Large language models (LLMs) are being woven into software systems at a remarkable pace. When these systems include a back-end database, LLM integration opens new attack surfaces for SQL ...

This repository contains a complete SQL-based data analysis project using the classic Music Store Database. The project explores real business questions related to customer behavior, revenue trends, ...

Data Science Program, University of Delaware, Newark, Delaware 19716, United States Department of Materials Science and Engineering, University of Delaware, Newark, Delaware 19716, United States ...

This project demonstrates how to extract and analyze data from an E-Commerce Dataset using MySQL Workbench. It showcases SQL skills such as data filtering, aggregation, joining tables, subqueries, ...

Have you ever spent hours wrestling with messy spreadsheets, only to end up questioning your sanity over rogue spaces or mismatched text entries? If so, you’re not alone. Data cleaning is one of the ...

In this tutorial, we explore how to harness Apache Spark’s techniques using PySpark directly in Google Colab. We begin by setting up a local Spark session, then progressively move through ...

RNA sequencing (RNA-Seq) is a high-throughput sequencing approach that enables comprehensive quantification of transcriptomes at a genome-wide scale. As a result, RNA-Seq has become a routine ...