Visualizing Information with Microsoft® Office Visio® 2007 Review

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Visualizing Information with Microsoft® Office Visio® 2007 ReviewI want you to think of the stereo typical college level professor who drones on while writing on the chalk board. Is the professor dumb? Of course not. Does he lack the ability to teach? Yes. This author portrays himself as a user who got tired of depending on IT for meaningful reports. I see this author as a geek's geek. He can quote Visual Basic in his sleep and does so throughout this text. However, this author lacks perspective. He thinks we all just take one look at his VB and a 100 watt light bulb pops-up over our heads. And just like a professor he drones on in his book without approaching a subject from a different perspective.If he's so good at Visio - why didn't he include example diagrams? Just to clarify - I have no problem with Visio books going into VB - my problem is when they don't approach the subject from multiple perspectives to reach more hearts and minds.Visualizing Information with Microsoft® Office Visio® 2007 Overview
Create and distribute data-connected Microsoft Office Visio diagrams and reports

Get full details on the powerful features of Microsoft Office Visio 2007 inside this comprehensive volume. Written by Visio expert David Parker, Visualizing Information with Microsoft Office Visio 2007 demonstrates how to effectively visualize, explore, and communicate complex business information. Learn to use PivotDiagrams, Data Graphics, and Smart Tags, as well as link data to shapes and create meaningful Visio documents and reports. Plus, you'll get vital security information, time-saving tips, troubleshooting techniques, and downloadable macros and code samples.

Essential Skills for Database Users and Professionals

Create shapes and link them to data
Summarize and analyze information using PivotDiagrams
Use Data Graphics, Smart Tags, and SmartShapes to reinforce information
Generate robust Excel, HTML, and XML reports
Create custom, reusable templates, stencils, and masters
Update and enhance diagrams with Reviewer's comments and markups
Integrate Visio diagrams with other Windows applications
Publish and securely distribute Visio documents and summaries

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Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites Review

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Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites ReviewMining the Social Web does a great job of introducing a wide variety of techniques and wealth of resources for exploring freely available social data and personal information. If you are willing to spend the time tinkering with the examples, the book is pure fun. It offers a nice compliment to Segaran's Programming Collective Intelligence: Building Smart Web 2.0 Applications. The two books overlap but where they do offer different perspectives and explanations of common techniques (e.g., TF-IDF, cosine similarity, Jaccard index). If you are well-versed in data mining the web you may find much of the discussion familiar. If you have only been casually engaged to date, your toolbox will fill quickly.
In order to work with the book's examples related to LinkedIn and Facebook you really need to have a robust collection of connections. In terms of the source code itself, most of it worked as is. I wasn't able to install the Buzz library which limited my interaction with material in chapter 7 and opted to not get involved with the LinkedIn or Facebook but found the discussions around them easy to follow. By far my favorite chapter in the book was chapter 8, "Blogs et al.: Natural Language Processing (and Beyond)..." It was quite fascinating and caused my reading list to grow considerably.Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites Overview
Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they're talking about, or where they're located? This concise and practical book shows you how to answer these questions and more. You'll learn how to combine social web data, analysis techniques, and visualization to help you find what you've been looking for in the social haystack, as well as useful information you didn't know existed.

Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools.

Get a straightforward synopsis of the social web landscape
Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, and LinkedIn
Learn how to employ easy-to-use Python tools to slice and dice the data you collect
Explore social connections in microformats with the XHTML Friends Network
Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection
Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits

"Let Matthew Russell serve as your guide to working with social data sets old (email, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social Web is a natural successor to Programming Collective Intelligence: a practical, hands-on approach to hacking on data from the social Web with Python." --Jeff Hammerbacher, Chief Scientist, Cloudera

"A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, Google


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