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    sample

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    Chapter 1 INTRODUCTION Background of the Study Tardiness is one of the major problems which the schools in the Philippines are facing. This dilemma can hinder each student’s and each school’s success. When the student is late it can affect his academic performance in class. There must be some reason why they come to school not in time. In the global arena there is a study conducted by the U.S. Department of Education on truancy‚ which is connected with tardiness‚ show that school

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    Data Communicatio

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    Quiz 2 True/False Indicate whether the statement is 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

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    Data Gathering

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    Data Gathering ➢ used to discover business information details to define the information structure ➢ helps to establish the priorities of the information needs ➢ further leads to opportunities to highlight key issues which may cross functional boundaries or may touch on policies or the organization itself ➢ highlighting systems or enhancements that can quickly satisfy cross-functional information needs ➢ a complicated task especially in a large and complex system ➢ must

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    Data Warehousing

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    Data warehousing is the process of collecting data in raw form for analyzing trends. The benefits to data warehousing are improved end-user access‚ increased data consistency‚ various kinds of reports can be made from the data collected‚ gather the data in a common place from separate sources and additional documentation of data. Potential lower computing costs‚ increased productivity‚ end-users can query the database without using overhead of the operational systems and creates an infrastructure

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    Data Analysis

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    Data Analysis The first question of the set of 15 questions was about the age limit of the respondents. We collected all data from the age group starting from 15years. Most of the respondents fall into the age limit of 16-25 years which is 54% of the total respondents. 18of the 50 respondents were 26-35 years of age which is 36%. [pic] [pic] Q1: your most preferable Schemes when you are Thinking about a savings account? This was the question that gives the critical information

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    Primary and Secondary Data

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    1. PRIMARY ANDSECONDARY DATA We explore the availability and use of data (primary and secondary) in the field of business research.Specifically‚ we examine an international sample of doctoral dissertations since 1998‚ categorizingresearch topics‚ data collection‚ and availability of data. Findings suggest that use of only primarydata pervades the discipline‚ despite strong methodological reasons to augment with secondary data. INTRODUCTION Data can be defined as the quantitative or qualitative

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    Data Analysis

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    discussed and all concluded that data analysis methods help us understand facts‚ observe patterns‚ formulate explanations‚ and try out the hypotheses. Not only does it help us understand facts‚ but they we also discovered that data analysis is used in science and business‚ and even administration and policy-making processes. We’ve found out the data analysis can be carried out in all fields‚ including medicine and social sciences. Once an analysis is conducted the data that is carried out is documented

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    Data Dictionary

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    DATA DICTIONARY Data Dictionaries‚ a brief explanation Data dictionaries are how we organize all the data that we have into information. We will define what our data means‚ what type of data it is‚ how we can use it‚ and perhaps how it is related to other data. Basically this is a process in transforming the data ‘18’ or ‘TcM’ into age or username‚ because if we are presented with the data ‘18’‚ that can mean a lot of things… it can be an age‚ a prefix or a suffix of a telephone number‚ or basically

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    TYPES OF DATA AND COMPONENTS OF DATA STRUCTURES Data types 1. Primitive: is a data type provided by a programming language as a basic building block 2. Composite: is any data type which can be constructed in a program using its programming language’s primitive data types and other composite types 3. Abstract: is a mathematical model for a certain class of data structures that have similar behavior; or for certain data types of one or more programming languages that have similar semantics

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    Data Center

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    Increase Your Data Center Energy Efficiency • Increase Your Data Center Energy Efficiency • Increase Your Data Center Energy Efficiency • Increase Your Data Center Energy Efficiency • Increase Key Best Practices Optimize the Central Plant Quick Start Guide to Increase Data Center Energy How To Start A Problem That You Can Fix Data Center energy efficiency is derived from addressing BOTH your hardware equipment AND your infrastructure. Commit to Improved Design and Operations

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