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aturally, Microsoft Office Excel is designed to work well with facts and figures. However, Excel can do much more than just crunch numbers. For certain types of data, Excel is an ideal database management system. Excel is very good for entering, storing, and analyzing small amounts of data. Excel is also, of course, a less expensive alternative to larger computing-intensive database management systems designed for business and academic institutions to store sizable amounts of data. For those who don t have the time or interest to study advanced data storage and data management techniques, Excel provides a much lower learning curve. Also, Excel provides data analysis features lacking in many more expensive database management systems. If you have relatively small amounts of data, want to spend a minimum amount of time learning fairly powerful data analysis techniques, or have a limited computing budget or resources, you can use Excel as your database management system, and you can use this book to help you more quickly learn Excel database management and data analysis techniques that you can put to use right away. Understanding how this book is organized and presented will help you find and learn these techniques faster.

Here the inferred types of site1 and sites are as follows: val site1 : string * int val sites : (string * int) * (string * int) * (string * int) Tuples can be decomposed into their constituent components in two ways. For pairs that is, tuples with two elements you can explicitly call the functions fst and snd, which, as their abbreviated names imply, extract the first and second parts of the pair:

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Another reason to manage a machine is to align it with the policies of the company. Often, the policies enforced are security-related. This may mean automatically enabling FileVault on accounts as they are created, and disallowing the user to turn it off. It may mean enforcing a proxy for web traffic to pass though. There won t be a lecture here about how or why to have or follow a company policy, just to say that you can. Sometimes, security policies are in place because they re solving a direct problem. In the example of enforcing FileVault for accounts, laptops are lost or stolen every day. It s useful to know that to the new person possessing the machine, it s just a shell, rather than a vessel to company data. Enforcing a password-protected screensaver is further protection for machines that are left logged-in and merely put to sleep by closing the lid. At other times, certain security policies exist to protect less tech-heavy users. For example, salespeople often travel outside of the office; they visit client sites, and work in hotel lobbies, conference rooms, and coffee shops, all of which are typical locations to use a laptop. They re also locations where one may step away from a laptop to refill a beverage or throw away trash, or get distracted by a conversation. A managed machine could be set to require a password for unlocking the screen saver and after waking from sleep, protecting the machine from passers-by who may want to sneak a peek at the screen or use it for unknown purposes while the owner is away.

> fst site1 val it : string = "wwwcnncom" > let relevance = snd site1 val relevance : int > relevance;; val it : int = 10 The functions fst and snd are defined in the F# library and are always available for use by F# programs here are their simple definitions: let fst (a,b) = a let snd (a,b) = b More commonly tuples are decomposed using patterns, as in the following code: let url,relevance = site1 let site1,site2,site3 = sites In this case, the names in the tuples on the left of the definitions are bound to the respective elements of the tuple value on the right, so again url gets the value "wwwcnncom" and relevance gets the value 10.

This book begins by introducing you to data basics and then moves on to help you define your data. You then learn how to enter, find, connect to, and analyze data. You also learn how to automate common data management and data tasks.

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