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Everyone talks about data quality issues, but not the consequences. From the top to the bottom of an organisation, everyone should understand the impact of dirty data and how to spot it. Being an entirely revised new edition, this book will show you how.
A comprehensive and user-friendly study of how to manage, explore and share data, giving scientists at all levels the skills they need to maximize the usefulness of their data.... Læs mere
Esri Advanced Guide to Python in ArcGIS uses concise chapters and straightforward tutorials so experienced GIS professionals can learn and immediately apply complex Python skills and techniques.
Bring place-based data to life with this essential guide to storytelling with maps, written by the founder of ArcGIS StoryMaps, Esri’s storytelling platform.
This open access book provides cutting-edge work on machine learning in sports analytics, emphasizing the integration of computer vision, data analytics, and machine learning to redefine strategic sports analysis.
We can learn a lot from previous examples of citizen science and especially where data was collected just out of... Læs mere
Comprehensive information for anyone making wildlife records, whether amateur recorder, ecological consultant or conservation biology academic.... Læs mere
Latent class analysis (LCA) has evolved from a categorical data tool to a broader mixture modeling framework. This volume,... Læs mere
The book is a systematic discussion on the many areas employing crowdsourcing as an essential part of social innovation. It fosters theoretical,... Læs mere
This book examines the digital transformation of the sports industry. It explores the digital and technological changes that will shape the sports industry for years to... Læs mere