Tiger TangAutomating real-world data science workflows, reports, dashboards, and pipelines with R
Tiger Tang
Published by CRC Press · Chapman & Hall/CRC The R Series
Published September 23, 2026
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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 while making data workflows more scalable and reproducible.
Rather than focusing only on individual packages, the book emphasizes end-to-end workflows that connect tools and processes together to solve real-world problems.
The book covers automation across:
- data ingestion and transformation
- report generation and dashboards
- email and messaging workflows
- database interactions
- scheduled jobs and monitoring
- internal tools built with Shiny
What You Will Learn
By reading this book, you will learn how to:
- design end-to-end automation workflows using R
- build reproducible reporting pipelines
- automate data processing and delivery
- create internal tools with Shiny
- integrate R with messaging platforms, databases, and APIs
- schedule, monitor, and maintain automated jobs
Who This Book Is For
Work Automation with R is written for data scientists, analysts, business intelligence professionals, and R users who want to spend less time on repetitive work and build more reliable, reusable workflows.
A working knowledge of R is helpful, but advanced programming experience is not required.