Tiger TangAutomating real-world data science workflows, reports, dashboards, and pipelines with R
Forthcoming from CRC Press
By Tiger Tang
About the Book
Many data science tasks are repetitive: generating reports, updating dashboards, monitoring metrics, sending alerts, and maintaining data pipelines. These tasks are ideal candidates for automation.
Work Automation with R shows how R can be used to build practical automation systems that reduce manual effort and make data workflows scalable and reproducible.
The book focuses on real-world use cases and demonstrates how R can automate:
- data ingestion and transformation
- report generation and dashboards
- email and messaging workflows
- database interactions
- scheduled jobs and monitoring
- internal tools built with Shiny
Rather than focusing only on individual packages, the book emphasizes end-to-end workflows that connect multiple tools together.
What You Will Learn
By reading this book, you will learn how to:
- design automation pipelines using R
- build reproducible reporting workflows
- automate data processing and delivery
- create internal tools using Shiny
- integrate R with messaging platforms and APIs
- schedule and monitor automated jobs
Who This Book Is For
This book is designed for:
- data scientists
- analysts
- business intelligence developers
- R users who want to automate their workflows
A basic working knowledge of R is helpful, but advanced programming experience is not required.
Stay Updated
The book is currently in development and will be published by CRC Press.
Updates will be shared on this site.