Mastering Data Visualization with Microsoft Visio Professional 2016


Mastering Data Visualization with Microsoft Visio Professional 2016 
by David J Parker
pages 页数: 334 pages
Publisher Finelybook 出版社: Packt Publishing (27 May 2016)
Language 语言: English
ISBN-10 书号: 178588266X
ISBN-13 书号: 9781785882661
B01D31OAAI


Key Features
A complete guide to data visualization with Microsoft Visio Professional 2016
Visualize information to meet the needs of your business
Get the quick way to learn Microsoft Visio 2016

Book Description
Microsoft Visio Professional is a data visualization application that is used by many different market sectors and many different departments to represent information visually,from network infrastructure to organization charts,from process diagrams to office layouts.
Starting off with a brief introduction to Vision Professional 2016 and then moving on to data storage,linking data to shapes,and working with SQL Server to create a solid foundation. Then we'll cover topics such as refreshing data,working with geographical data,working with various graphics,and diagrams,and more. Finally,you'll find out how to deploy custom stencils,templates,and code.

What you will learn
Add external data from a variety of data sources
Represent information with data graphics
Create custom data-like shapes
Export data from structured diagrams
Present information graphics to non-Visio users
Automate visualizations from data
Develop custom templates and code for others

About the Author
David J Parker's background has been in data visualization ever since he struggled to produce lists of hospital equipment from Computer Aided Design models of buildings as a budding architect in the '80s. He moved into building and infrastructure asset management in the late '80s using a Unix system and gradually migrated to Windows-based systems throughout the '90s.
He became a European Business partner of Visio Corporation in 1996 and presented the database-linked Visio solutions that he was providing merchant banks in London and New York with at several international conferences. David started bVisual Ltd. in 1998,which provides Visio-based solutions to various industries,and became a Silver-level Microsoft partner.
He has been a Microsoft MVP (Visio) for the last 12 years and has helped Microsoft Corp,UK and Western Europe,by providing Visio solutions,training,website content,and presentations. David has had several books on Visio published and has been presenting Visio/SharePoint integration courses for many years for Microsoft Western Europe,from Oslo in the North down to Lisbon in the South. He has presented at SQL and SharePoint Saturday conferences and writes a regular blog for people interested in Microsoft Visio.
Contents
Data within Visio Essentials
Understanding How Data Is Stored within Visio
Linking Data to Shapes
Using the Built-In Data Graphics
Using the Pivot Diagram Add-On
Creating Custom Master Shapes
Creating Custom Data Graphics
Validating and Extracting Information
Automating Structured Diagrams
Sharing Data Diagrams
Choosing a Deployment Methodology
主要特征
Microsoft Visio Professional 2016数据可视化的完整指南
可视化信息以满足您的业务需求
快速学习Microsoft Visio 2016的方法
图书说明
Microsoft Visio Professional是一个数据可视化应用程序,被许多不同的市场部门和许多不同的部门用于从网络基础设施到组织图表,从流程图到办公室布局来视觉地表示信息。
首先介绍Vision Professional 2016,然后继续进行数据存储,将数据链接到形状,并与SQL Server一起创造坚实的基础。然后,我们将介绍诸如刷新数据,使用地理数据,使用各种图形和图表等主题。最后,您将了解如何部署自定义模具,模板和代码。
你会学到什么
从各种数据源添加外部数据
用数据图形表示信息
创建自定义数据类形状
从结构图导出数据
向非Visio用户展示信息图形
从数据自动化可视化
为其他人开发自定义模板和代码
关于作者
David J Parker的后台一直在数据可视化,因为他一直在努力从80年代作为一个新兴的建筑师的建筑物的计算机辅助设计模型制作医院设备列表。他在80年代后期使用Unix系统进入建筑和基础设施资产管理,并在90年代逐渐迁移到基于Windows的系统。
他于1996年成为Visio公司的欧洲业务合作伙伴,并在几个国际会议上介绍了他在伦敦和纽约为商业银行提供数据库的Visio解决方案。 David于1998年创立了BVisual Ltd.,为各行业提供基于Visio的解决方案,并成为Silver级微软合作伙伴。
他过去12年来一直是Microsoft MVP(Visio),并通过提供Visio解决方案,培训,网站内容和演示文稿帮助了Microsoft Corp,英国和西欧。 David已经出版了几本有关Visio的书籍,多年来一直在微软西欧展出Visio / SharePoint集成课程,从奥斯陆北部到南部里斯本。他在SQL和SharePoint周六会议上发表了演讲,并为对Microsoft Visio感兴趣的人写了一个常规博客。
目录
Visio Essentials中的数据
了解数据存储在Visio中
将数据链接到形状
使用内置数据图形
使用数据透视图附加组件
创建自定义主形状
创建自定义数据图形
验证和提取信息
自动化结构图
共享数据图
选择部署方法

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