· Managing Data Using Excel is an essential book for all scientists and students who use data and are seeking to manage data more effectively. It is aimed at scientists at all levels but it is especially useful for university-level research, from undergraduates to postdoctoral researchers. Managing Data Using Excel is a new book by Mark Gardener, published by Pelagic Publishing.* It is subtitled "Organising, summarising and visualising scientific data". Clearly the book is aimed at scientists, particularly those dealing with the analysis of observational data, but is it . Managing Data Using Excel (Research Skills)|Mark Gardener, A Practical Guide to Anti-Kickback and Self-Referral Laws for Physicians|Lester J Perling, Basic Practice in Multiplying Fractions|P.L. Taylor, My Son is an Alien!!|Brandi Van Ross/10().
Microsoft Excel is a powerful tool that can transform the way you use data. This book explains in comprehensive and user-friendly detail how to manage, make sense of, explore and share data, giving scientists at all levels the skills they need to maximize the usefulness of their data. Readers will learn how to use Excel to: * Build a dataset - how to handle variables and notes, rearrangements. Managing Data Using Excel is an essential book for all scientists and students who use data and are seeking to manage data more effectively. It is aimed at scientists at all levels but it is especially useful for university-level research, from undergraduates to postdoctoral researchers. Mark Gardener Camera Trapping for Wildlife Research. Although I initially bought this book when I wanted to discover R I actually also learned new techniques for data manipulation and management in Excel - Mark Edwards, EcoBlogging A must for anyone getting to grips with data analysis using R and excel. - Amazon 5-star review It has been very easy to follow and will be perfect for anyone.
Managing Data Using Excel. By. Mark Gardener. Plenty of general Excel handbooks document how to create datasets and apply calculations, but the specific focus on scientific data manipulation provided here makes it a top recommendation over any general tutorial. —Diane Donovan, Midwest Book Review. It is an excellent tutorial which describes in details the steps needed to manage, analyse and present data using Excel. It is split into 9 chapters: 1) Arranging your data 2) Managing your data: building your dataset 3) Managing your data: checking your dataset 4) Making sense of your data 5) Exploring regression data 6) Exploring time-related data. There are several Excel tools that you can use to help you manage your data; the most important is the PivotTable tool. A pivot table provides a way of managing and manipulating your data. You can use the PivotTable tool to arrange and rearrange your data in various ways that are useful, but hard to do with the spreadsheet directly.
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