ultimately bankruptcy. Data collection It is important for APUS to collect useful data to have input to analyze challenges such as student retention. 2. What types of data did APUS tap into? What do you think are the main obstacles one would have to overcome when using data that comes from different domains and sources? APUS taps into Demographic data Registration data Course level date etc Types of data APUS deals with Structured date from database Unstructured data ( text‚ word files etc)
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Splunk is a tool to analyze‚ search and visualize machine data. Today‚ with the increasing popularity of internet‚ IoT devices‚ wearable devices and multi-fold increase in computation and processing power‚ generation of machine data has increased exponentially. Such huge amount of machine data contains powerful insights which might have tremendous value. Many big data technologies and tools are being developed to extract benefit from such data‚ Splunk is one such tool. Founded in 2003‚ Splunk offers
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Empirical review 2.2 Critical review 2.3 Research gaps CHAPTER THREE: RESEARCH DESIGN AND METHODOLOGY 3. Introduction 3.1 Research design 3.2 Target population 3.3 Accessible population 3.4 Sampling technique 3.5 Data collection method and procedures 3.6 Data analysis technique References APPENDICES APPENDIX 1…………………..Questionnaire APPENDIX II………………… Time line APPENDIX III…………… Budget CHAPTER ONE INTRODUCTION 1. Introduction This chapter will
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the research and also the types of products and services. 1.2 Why can data and information cross-checks and cross-references be necessary when doing research? It is important not to rely on a single piece of information if you can avoid it‚ so also look for corroborating evidence unless the source is absolutely unimpeachable. Use reliable sources or cross-check and find supporting data wherever possible. Knowing how data was obtained is central to knowing its value. If the information comes from
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integrated various decision support tools e.g. Data warehousing‚ Data mining‚ and Dynamic Programming approach to arrive at an actionable solution. 2. Review Present Decision support systems are a cohesive‚ integrated system of hardware and software designed specifically to manipulate data and enable users to support problem solving and decision making by drawing useful information from disparate sources of data with the help of mining techniques. While data mining can assist in the automated discovery
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CHAPTER 1 INTODUCTION A STUDY OF CONSUMER PREFRENCE TOWARDS TITAN WATCHES A consumer is a person or group of people‚ such as a household‚ who are the final users of products or services. The consumer’s use is final in the sense that the product is usually not improved by the use. The term preference is used in a variety of related‚ but not identical‚ ways in the scientific literature. This makes it necessary to make explicit the sense in which the term is used in different social sciences
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for analyzing data. SPSS Statistics can take data from almost any type of file and use them to generate tabulated reports‚ charts‚ and plots of distributions and trends‚ descriptive statistics‚ and complex statistical analyses. SPSS Statistics makes statistical analysis more accessible for the beginner and more convenient for the experienced user. Simple menus and dialog box selections make it possible to perform complex analyses without typing a single line of command syntax. The Data Editor offers
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CHAPTERIZATION 9 2 LITERATURE SURVEY 10 2.1 REVIEW OF LITERATURE 10 2.2 RESEARCH GAP 13 3 RESEARCH METHODOLOGY 14 3.1 RESEARCH DESIGN 14 3.2 SOURCES OF DATA 15 3.3 POPULATION 15 3.4 SAMPLE SIZE 16 3.5 SAMPLING METHOD 16 3.6 TOOLS FOR ANALYSIS 17 3.7 LIMITATIONS 19 4 DATA ANALYSIS AND INTERPRETATION 20 5 CONCLUSION 5.1 SUMMARY OF FINDINGS 52 5.2 SUGGESTIONS AND RECOMMENDATIONS 53 5.3 CONCLUSIONS 54 APPENDIX 55 QUESTIONNAIRE
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| Preliminary Analysis 2a) Figure 1: X as a Data Object X is a data frame as derived from the program R shown above in Figure 1. There are 274 observations of 11 variables. The number of observations is obtained from the number of rows while the number of variables is obtained from the number of columns. 2b) Figure 2: Creating a sub-data frame from X Figure 3:Sub-data frame from X Figure 2 shows a screenshot of the commands entered into R to create a sub-data frame X containing
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a few clicks away on a tablet computer or mobile phone. (Anne D’innocenzio. 2014). With the great development of Information Technology‚ Wal-Mart needs to develop the latest technology to survive in the competitive business environment. This part analysis how what challenges that Wal-Mart are facing right now and how information technology can help the company to solve these problems. What challenges There are three main challenges that Wal-Mart are facing: price pressure‚ changing shopping habits
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