"The original textbook was published as a complete set of material that could be used to learn how to navigate Microsoft Excel??? and to process experimental scientific data in it. Since then, several versions of Excel have been released where significant improvements to functionality and navigation have been made with each subsequent version. Since 2019, Microsoft no longer releases Excel in discrete versions and so the latest version of Excel, Excel 2019, although will update to introduce new features and updates over ...
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"The original textbook was published as a complete set of material that could be used to learn how to navigate Microsoft Excel??? and to process experimental scientific data in it. Since then, several versions of Excel have been released where significant improvements to functionality and navigation have been made with each subsequent version. Since 2019, Microsoft no longer releases Excel in discrete versions and so the latest version of Excel, Excel 2019, although will update to introduce new features and updates over time, offers a more stable platform than any version previous. New opportunities can now be realized (e.g. virtual user groups exchanging data sets and case studies) via collaborative tools and also through its increasing compatibility with Google Sheets, allows collaboration to happen in real-time. It must be appreciated that although the processing power and navigation of Excel has improved, the functionality as it relates to data processing, has not changed dramatically and are still as relevant as ever to Chemists and scientists in general. This new edition of Spreadsheet Applications in Chemistry Using Microsoft Excel serves to keep pace with the functionality of the latest version of Excel as it applies to scientific data processing. This edition of the book updates the content from the previous edition to make it directly relevant to Excel 2019 and later. It is a practical textbook, designed to be tutorial-focused as before and provides simple step-by-step instructions for performing the scientific data processing tasks that all undergraduate students classically struggle with. This edition integrates an online repository of datasets that can be used to work through the tutorials. These online spreadsheets can also form useful templates for applying the described methods to own experimental data processing."--
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