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商品描述
Work Automation with R provides a solid framework on how to automate tasks and workflows in the workplace with R. This book introduces the most common components used in R automation, one by one, and then shows how to combine them to tackle real-world tasks.
The reader can jump to any chapter to explore solutions or best practices for specific tasks or read the book in chronological order if they are just starting a new automation project. Each chapter begins with a common data task and explores key concepts and multiple solutions using R packages. The author presents a range of solutions as there are often multiple ways to solve the same problem, with the different options have been compared along with key functions discussed in each, and reproducible examples have also been provided.
Aimed at business professionals and data practitioners who want to automate their work, the book assumes a basic working knowledge of R, including writing and running scripts, and performing common data tasks such as importing, transforming, and summarizing data. It also assumes a willingness to write small helper functions to automate repeated steps. Experience with Quarto or R Markdown is helpful but not required. Key tools and patterns are introduced as needed in end-to-end automation examples.
Key Features:
- Offers task-focused resources to smooth automation development.
- Helps identify and minimize common roadblocks that might impact progress.
- Establishes a reproducible workflow of automating tasks with R in a business setting.
商品描述(中文翻譯)
Work Automation with R 提供一套完整架構，說明如何使用 R 將職場中的工作與工作流程自動化。本書逐一介紹 R 自動化中最常用的元件，接著示範如何組合這些元件，以處理現實世界中的工作任務。
讀者可以直接跳至任何章節，探索特定任務的解決方案或最佳實務；如果剛開始進行新的自動化專案，也可以依照章節順序閱讀。本書每章都從常見的資料處理任務開始，並透過 R 套件探討關鍵概念與多種解決方案。由於同一個問題通常有多種解法，作者提供了各種方案，並比較不同選項、討論各方案中的關鍵函式，同時提供可重現的範例。
本書適合希望將工作自動化的商務專業人士與資料從業人員。讀者需具備基本的 R 實務知識，包括撰寫與執行 script，以及執行匯入、轉換和彙總資料等常見資料處理任務。此外，讀者也需要願意撰寫小型輔助函式，以將重複步驟自動化。具備 Quarto 或 R Markdown 經驗將有所幫助，但並非必要。全書會在端到端的自動化範例中，視需要介紹重要工具與常見模式。
主要特色：
- 提供以任務為導向的資源，讓自動化開發更加順暢。
- 協助找出並降低可能影響進度的常見障礙。
- 建立適用於商務環境、使用 R 將工作自動化的可重現工作流程。
作者簡介
Tiger Tang is a data science leader in the automotive industry, where he leads teams building large-scale, production-grade analytics and machine learning systems. His work focuses on automation, natural language processing, and data-driven products that transform complex, real-world data into reliable and reproducible workflows. He has led automation initiatives that have saved tens of thousands of hours of manual effort and developed multiple Shiny applications supporting hundreds of daily analytical decisions. Tiger is also active in the data science community, regularly speaking on applied R, Shiny, and analytics at conferences and professional events.
作者簡介(中文翻譯)
Tiger Tang 是汽車產業的資料科學領導者，負責帶領團隊建置大規模、可投入正式環境使用的分析與機器學習系統。他的工作專注於自動化、自然語言處理，以及資料驅動的產品，將複雜的真實世界資料轉化為可靠且可重現的工作流程。他曾主導多項自動化計畫，節省數萬小時的人工處理時間，並開發多個 Shiny 應用程式，每日支援數百項分析決策。Tiger 也積極參與資料科學社群，定期在會議與專業活動中分享 R、Shiny 與分析技術的實務應用。
