当前位置：
首页
>
电子教材
>
详细信息
快速检索
数据库：
各中心已购纸本教材
各中心已购电子教材
国内高校课程
国外著名大学课程
外文原版教材出版信息
外文影印版教材出版信息
名校购书信息
关键词：
Spreadsheet Applications in Chemistry Using Microsoft Excel: Data Processing and Visualization, 2Nd Edition
书目信息
ISBN：
9781119184065
本馆索书号：
中图分类号：
O6
中文译名：
Microsoft Excel 化学电子表格应用：数据处理与可视化（第2版）
作者：
Aoife Morrin
编者：
语种：
英语
出版信息
出版社：
Wiley
出版地：
出版年：
2022
版本：
2
版本类型：
原版
丛书题名：
卷期：
文献信息
关键词：
前言：
摘要：
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.
内容简介：
目次：
全文链接：
读者对象：
实体信息
页码：
其它信息
原版ISBN：
书评：
扩展信息
相关附件