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Titlebook: Creating Good Data; A Guide to Dataset S Harry J. Foxwell Book 2020 Harry J. Foxwell 2020 data.dataset design.data analytics.data visualiza

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樓主: Harding
31#
發(fā)表于 2025-3-26 23:06:04 | 只看該作者
32#
發(fā)表于 2025-3-27 02:39:47 | 只看該作者
Good Data Analytics,rs and symbols. But now is not the time to just get started thinking about your analysis. As we have emphasized in the previous chapters, you need to plan your analysis requirements long before collecting your data, with the goal of ..
33#
發(fā)表于 2025-3-27 06:31:11 | 只看該作者
34#
發(fā)表于 2025-3-27 11:34:11 | 只看該作者
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發(fā)表于 2025-3-27 16:17:27 | 只看該作者
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發(fā)表于 2025-3-27 22:53:30 | 只看該作者
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發(fā)表于 2025-3-28 05:46:57 | 只看該作者
g data cleaning prior to analysis.Permit clear and accurate .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 ar
39#
發(fā)表于 2025-3-28 08:29:21 | 只看該作者
https://doi.org/10.1007/978-3-540-88787-4ypes thoughtfully with your analytical goals in mind while at the same time trying to avoid any form of bias in what you decide to measure and what you anticipate your data exploration and analysis tasks will look like.
40#
發(fā)表于 2025-3-28 10:45:37 | 只看該作者
Recommendations for Effective Collaboration,hose items. This process is fraught with danger?– the danger of .. Bias is the data collection killer; nothing will compromise the quality of your data more than bias. Biased data leads to incorrect results and faulty conclusions.
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