Queenie 1097300104 E5B Data Analysis First Part Personal information: including the participants’ gender‚ age‚ educational background‚ marital status and monthly income. Gender As Figure 1 showed‚ there were 45% of female participants and 55% of male. The numbers of the participants of each gender were very close. Age The respondents were all my friends on Facebook; as the result‚ the majority (73%) of their age was in the range of 16-20‚ as seen in Figure 2. Figure 1: Gender
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"Child Abuse: Statistics & Facts." Safe Horizon. Safe Horizon‚ 2013. Web. 30 Sept. 2013 Child Welfare Information Gateway "CHILDREN OF ADDICTED PARENTS: Important Facts." Hope Networks - Addiction. Hope Networks Inc.‚ 2005.Web. 01 Oct. 2013. "Did You Know?: Famous People Who Grew up without a Father or without a Mother."Without a Father. Markido Inc.‚ n.d. Web. 01 Oct. 2013. "The Effects of Parental Alcoholism on Children." About.com: Alcoholism. About.com‚ 2 Oct. 2013. Fagan‚ Patrick F.‚ Ph.D.
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Turning data into information © Copyright IBM Corporation 2007 Course materials may not be reproduced in whole or in part without the prior written permission of IBM. 4.0.3 Unit objectives After completing this unit‚ you should be able to: Explain how Business and Data is correlated Discuss the concept of turning data into information Describe the relationships between DW‚ BI‚ and Data Insight Identify the components of a DW architecture Summarize the Insight requirements and goals of
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Conflicting Setting in “So What Are You Anyway?” For many years‚ African Americans have endured the oppression of white superiors‚ but have put up a great fight for emancipation. Over time‚ the segregation that once existed has diminished‚ but continues to live on in the minds of some. In Lawrence Hills‚ “So What Are You Anyway”‚ the setting is a key contributor to the conflict of the story in regards to equality now being instilled into society‚ an innocent Carole being targeted and demeaned for
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An Oracle White Paper July 2010 Data Masking Best Practices Oracle White Paper—Data Masking Best Practices Executive Overview ........................................................................... 1 Introduction ....................................................................................... 1 The Challenges of Masking Data ....................................................... 2 Implementing Data Masking .............................................................. 2
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the oppressive nature of governments‚ may also wish to encrypt certain information to avoid suffering the penalties of going against the wishes of those who attempt to control. Still‚ the methods of data encryption and decryption are relatively straightforward‚ and easily mastered. I have been doing data encryption since my college days‚ when I used an encryption algorithm to store game programs and system information files on the university mini-computer‚ safe from ’prying eyes’. These were files
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someone to treat us a certain way‚ we have to treat them the same way. As my mom says "treat others the way you want to be treated"‚ I keep those words in the deepest part of my heart and remind myself to have good manners all the time to everyone that I meet in my life. For example‚ I show my respect to my elders by always offering help by any means possible‚ always saying ‘please’‚ ‘thank you’ whenever it is needed. In our pledge class‚ respect could also mean integrity‚ and doing each own job
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am going to explain data protection‚ talk about the data protection acts‚ rights and principles. I’m going to talk about a data controller and a data processor and what their responsibilities are. What personal and sensitive data are. What a data receiver is and what his rights are‚ what is involved in direct marketing and I will mention an example of abuse or corruption that occurred in Ireland. Data protection acts Data protection is legal control over and access to use of data stored in computers
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Data Mining Information Systems for Decision Making 10 December 2013 Abstract Data mining the next big thing in technology‚ if used properly it can give businesses the advance knowledge of when they are going to lose customers or make them happy. There are many benefits of data mining and it can be accomplished in different ways. The problem with data mining is that it is only as reliable as the data going in and the way it is handled. There are also privacy concerns with data mining
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The Midnight Journal Entry Anne T. Lawrence‚ San José State University On an overcast afternoon in Portland‚ Oregon‚ on Friday‚ March 28‚ 2003‚ Richard Okumoto intently studied a set of hard-copy accounting documents called “adjusting journal entries” spread out on his desk. He had been appointed chief financial officer (CFO) of Electro Scientific Industries‚ Inc. (ESI)‚ a multi-million dollar equipment manufacturer‚ just a few weeks earlier. Okumoto was in the midst of closing the company’s
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