Belegu 23 November 2013 Soft drugs should be legalised Everybody knows that drug addiction is a leading problem now among youth as well as among adults across the globe . It causes social ‚ spiritual and moral problems in their lives. However‚ there are drugs that are less damaging to the health and non-addictive than a hard drug such as alcohol ‚ cannabis and nicotine drugs. These are called soft drugs. There are already 45 million people who have tried cannabis soft drug. About 15 million European
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we basically understand customer’s behavior‚ attitudes to prepare the final questionnaires. Though questionnaires’ data analysis‚ we identify our segment include the below attributes‚ The feel of smell‚ sweetness‚ awareness and package are important for the male at the age level of they is 18-24. Besides‚ they will rather drink in pub‚ which the education level is below Secondary‚ Associate Degree &Higher Diploma. The level of education of this segment considerate on bubble and smell will be different
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DATA COLLECTION Business Statistics Math 122a DLSU-D Source: Elementary Statistics (Reyes‚ Saren) Methods of Data Collection 1. 2. 3. 4. 5. DIRECT or INTERVIEW METHOD INDIRECT or QUESTIONNAIRE METHOD REGISTRATION METHOD OBSERVATION METHOD EXPERIMENT METHOD DIRECT or INTERVIEW Use at least two (2) persons – an INTERVIEWER & an INTERVIEWEE/S – exchanging information. Gives us precise & consistent information because clarifications can be made. Questions not fully understood by the respondent
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true or false. ____ 1. A good project manager knows how to develop a plan‚ execute it‚ anticipate problems‚ and make adjustments. ____ 2. The most critical element in the success of a system development project is user involvement. ____ 3. The work breakdown structure (WBS) is key to a successful project. ____ 4. Gantt charts become useless once the project begins. ____ 5. Project feasibility analysis is an activity that verifies whether a project can be started and successfully completed
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Data Mining Abdullah Alshawdhabi Coleman University Simply stated data mining refers to extracting or mining knowledge from large amounts of it. The term is actually a misnomer. Remember that the mining of gold from rocks or sand is referred to as gold mining rather than rock or sand mining. Thus‚ data mining should have been more appropriately named “knowledge mining from data‚” which is unfortunately somewhat long. Knowledge mining‚ a shorter term‚ may not
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Drink Raw Milk Having spent the majority of my life on a dairy farm‚ I have had the privilege of enjoying fresh‚ clean‚ delicious raw milk. There is nothing like it! I would be willing to wager that very few have ever experienced the enjoyment of sipping a tall‚ ice-cold‚ creamy “straight from the farm” glass of milk. There is nothing in the world that compares with the overall taste‚ the nutritional content‚ and the health benefits found in raw milk. Raw milk should be an option for everyone
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Data Mining Melody McIntosh Dr. Janet Durgin Information Systems for Decision Making December 8‚ 2013 Introduction Data mining‚ or knowledge discovery‚ is the computer-assisted process of digging through and analyzing enormous sets of data and then extracting the meaning of the data. Data mining tools predict behaviors and future trends‚ allowing businesses to make proactive‚ knowledge- driven decisions Although data mining is still in its infancy
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Energy drinks refer to beverages that contain‚ besides calories‚ caffeine in combination with other presumed energy-enhancing ingredients such as taurine‚ herbal extracts‚ and B vitamins. They first appeared in Europe and Asia in the 1960s in response to consumer demand for a dietary supplement that would result in increased energy (Reissig and others 2009). In 1962‚ a Japanese company‚ Taisho Pharmaceuticals‚ launched Lipovitan D‚ one of the very 1st energy drinks‚ which is still dominating the Japanese
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Big Data In It terminology‚ Big Data is looked as a group of data sets‚ which are so sophisticated and large that the data can not be easily taken‚ stored‚ searched‚ shared‚ analyzed or visualized making use of offered tools. In global market segments‚ such “Big Data” generally looks throughout attempts to identify business tendencies from accessible files sets. Other areas‚ exactly where Big Data continually appears include various job areas of research for example the human being genome and also
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Data Warehousing‚ Data Marts and Data Mining Data Marts A data mart is a subset of an organizational data store‚ usually oriented to a specific purpose or major data subject‚ that may be distributed to support business needs. Data marts are analytical data stores designed to focus on specific business functions for a specific community within an organization. Data marts are often derived from subsets of data in a data warehouse‚ though in the bottom-up data warehouse design methodology the data
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