| 书目名称 | Creating Good Data | | 副标题 | A Guide to Dataset S | | 编辑 | Harry J. Foxwell | | 视频video | http://file.papertrans.cn/240/239372/239372.mp4 | | 概述 | Shows you how to clearly represent measurements, quantities, and characteristics relevant to research.Teaches you how to avoid time-consuming data cleaning prior to analysis.Permit clear and accurate | | 图书封面 |  | | 描述 | .Create good data from the start, rather than fixing it after it is collected. By following the guidelines in this book, you will be able to conduct more effective analyses and produce timely presentations of research data..Data analysts are often presented with datasets for exploration and study that are poorly designed, leading to difficulties in interpretation and to delays in producing meaningful results. Much data analytics training focuses on how to clean and transform datasets before serious analyses can even be started. Inappropriate or confusing representations, unit of measurement choices, coding errors, missing values, outliers, etc., can be avoided by using good dataset design and by understanding how data types determine the kinds of analyses which can be performed...This book discusses the principles and best practices of dataset creation, and covers basic data types and their related appropriate statistics and visualizations. A key focus of the book is why certain data types are chosen for representing concepts and measurements, in contrast to the typical discussions of how to analyze a specific data type once it has been selected...What You Will Learn..Be aware of | | 出版日期 | Book 2020 | | 关键词 | data; dataset design; data analytics; data visualization; data management; data science; Big data; data pre | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-6103-3 | | isbn_softcover | 978-1-4842-6102-6 | | isbn_ebook | 978-1-4842-6103-3 | | copyright | Harry J. Foxwell 2020 |
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