{"title":"Mark van der Loo","description":"\u003cp\u003eWelcome to our collection featuring works by \u003cem\u003eMark van der Loo\u003c\/em\u003e, a renowned author in the field of computing and technology, particularly known for his contributions to statistical data analysis. With a strong background rooted in statistical research and data science, van der Loo's writings are invaluable for anyone looking to deepen their understanding of data processing technologies.\u003c\/p\u003e\n\n\u003cp\u003eHis book, \u003cstrong\u003eStatistical Data Cleaning with Applications in R\u003c\/strong\u003e, stands as a testament to his expertise. It provides a comprehensive guide to cleaning and preparing data, a crucial skill in the data-driven world. Whether you are a student, a data analyst, or a seasoned statistician, van der Loo's works offer practical insights and techniques for leveraging the power of R programming to enhance data quality and analysis.\u003c\/p\u003e\n\n\u003cp\u003eMark van der Loo's publications are ideal for those eager to explore the technical aspects of data science, embracing both fundamental and advanced concepts effortlessly. Discover his work today and learn to navigate the complexities of statistical data cleaning with confidence and ease.\u003c\/p\u003e","products":[{"product_id":"statistical-data-cleaning-with-applications-in-r-by-mark-van-der-loo-9781118897157","title":"Statistical Data Cleaning with Applications in R","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cb\u003eA comprehensive guide to automated statistical data cleaning\u003c\/b\u003e\u003c\/p\u003e\n\n\u003cp\u003eThe production of clean data is a complex and time-consuming process that requires both technical know-how and statistical expertise. \u003ci\u003eStatistical Data Cleaning with Applications in R\u003c\/i\u003e brings together a wide range of techniques for cleaning textual, numeric, or categorical data. This book examines technical data cleaning methods relating to data representation and data structure. A prominent role is given to statistical data validation, data cleaning based on predefined restrictions, and data cleaning strategy.\u003c\/p\u003e\n\n\u003cp\u003e\u003ci\u003eKey features:\u003c\/i\u003e\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003eFocuses on the automation of data cleaning methods, including both theory and applications written in R.\n    \u003cul\u003e\n      \u003cli\u003eEnables the reader to design data cleaning processes for either one-off analytical purposes or for setting up production systems that clean data on a regular basis.\u003c\/li\u003e\n      \u003cli\u003eExplores statistical techniques for solving issues such as incompleteness, contradictions and outliers, integration of data cleaning components and quality monitoring.\u003c\/li\u003e\n      \u003cli\u003eSupported by an accompanying website featuring data and R code.\u003c\/li\u003e\n    \u003c\/ul\u003e\n  \u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eThis book enables data scientists and statistical analysts working with data to deepen their understanding of data cleaning as well as to upgrade their practical data cleaning skills. It can also be used as material for a course in data cleaning and analyses.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47000755732716,"sku":"9781118897157","price":157.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9918633482586.jpg?v=1763302147"}],"url":"https:\/\/bookhero.live\/collections\/mark-van-der-loo.oembed","provider":"Book Hero","version":"1.0","type":"link"}