Beautiful Data by Segaran Toby, Hammerbacher Jeff (eds.)

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By Segaran Toby, Hammerbacher Jeff (eds.)

During this insightful ebook, youll study from the simplest facts practitioners within the box simply how wide-ranging -- and gorgeous -- operating with information may be. sign up for 39 participants as they clarify how they built uncomplicated and chic recommendations on tasks starting from the Mars lander to a Radiohead video. With appealing info, you'll: discover the possibilities and demanding situations taken with operating with the titanic variety of datasets made on hand by means of the net the right way to visualize developments in city crime, utilizing maps and knowledge mashups become aware of the demanding situations of designing an information processing process that works in the constraints of area trip find out how crowdsourcing and transparency have mixed to improve the nation of drug learn know the way new information can instantly set off indicators whilst it fits or overlaps pre-existing facts find out about the large infrastructure required to create, catch, and procedure DNA info Thats basically small pattern of what youll locate in appealing info. For somebody who handles information, this can be a actually attention-grabbing ebook.

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During this insightful publication, youll examine from the simplest info practitioners within the box simply how wide-ranging -- and lovely -- operating with information might be. sign up for 39 participants as they clarify how they constructed uncomplicated and stylish strategies on initiatives starting from the Mars lander to a Radiohead video. With attractive info, you'll: discover the possibilities and demanding situations all for operating with the big variety of datasets made to be had by way of the internet tips on how to visualize tendencies in city crime, utilizing maps and knowledge mashups realize the demanding situations of designing an information processing approach that works in the constraints of area commute learn the way crowdsourcing and transparency have mixed to improve the country of drug study know the way new information can immediately set off indicators while it fits or overlaps pre-existing info know about the big infrastructure required to create, trap, and strategy DNA facts Thats simply small pattern of what youll locate in appealing facts.

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When you have the time and resources, test different copy, test different layouts, and test different types of interaction design—all with actual users. Reporting the live data results In our project, one special consideration was that the recipient of the final data, the client, would also be a user of the system—with drastically different needs from those of the survey participants. 30 CHAPTER TWO Because the project was time sensitive, the client needed to see the survey results quickly to determine whether the product was generally well received.

Given that only a limited amount of memory was available for image data storage, the concept of packing the 12-bit pixel data 40 CHAPTER THREE into 16-bit memory space was appealing. By packing, I’m referring to storing the 12-bit pixel data contiguously, without any “wasted” bits in between—in effect ignoring 16-bit memory boundaries. But more efficient data storage came at the cost of increased processing time (unpacking, shifting, repacking). A digital image is an array (whether it’s treated as a 1-D array or a 2-D array depends on what is being done to it), so any operation on an image involved handling the image data utilizing one or more algorithmic loops working through the array.

State of residence of each respondent. But, since we told respondents, “we do not collect any personally identifiable information about you,” it would have been awkward to then start asking questions about where the person lived. S. state location requirement but not violate the respondent’s privacy. After all, a user’s IP data is logged anytime he or she visits any website, and, at 28 CHAPTER TWO most, it can only be used to determine the city of that otherwise anonymous user’s Internet Service Provider.

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