Essays on Data Analysis

Forensic Anthropology in Perspective
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Introduction Forensic Anthropology is a special sub-field of physical anthropology (the study of human remains), Anthropologist’s use the application of techniques and principles to identify the deceased (Smithsonian, n.d.). This study applies statistical methods to study the bones of the deceased to determine the height of an individual, age, and gender (Forensic Anthropology, 2019). Dr, Sara C Bisel (1932-1996) internationally recognized in the field of ancient health and nutrition for establishing scientific and mathematical analysis of the victims in the…...
Data AnalysisForensic AnthropologyForensic ScienceHumanityScientific methodSocial science
Environmental Education And Awareness Among Secondary Level Students In Assam
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Pages • 10
Abstract Everyone is responsible for the protection of the environment which is a very important part of our day to day lives. Anthropogenic activities play an important role in environmental degradation. Awareness towards the environment is important to all people especially the student community. Environmental education is a key element to create awareness. As an upcoming generation, students play a big role in environmental protection. Therefore it is utmost necessary to aware the student about the environment. The present study…...
Data AnalysisEducationEnvironmentSecondary Education In India
Happiness and Life Satisfaction – Our World in Data
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For my class project, I used the data from the 2019 7th World Happiness Report. Each year the report focuses on some themes of well being and happiness. This year the report was on happiness and the community and looked at the link between government actions and happiness, happiness and community, and happiness and technology. Their study focused on six explanatory factors: social support, healthy life expectancy, GDP per capita, generosity, freedom to make life choices, and freedom from corruption.…...
Data AnalysisHappinessLifeOur WorldScientific method
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Pressures Threaten The Survival Of Mountain Gorillas Environmental Sciences Essay
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Pages • 16
Tropical moist woods cover about ( 10-15 % ) of the Earth 's surface country, and contain about ( 50-90 % ) of the universe 's zoology and vegetation species ( Struhsaker, 1987 ; Grove, 1997 ) . Of the staying tropical moist woods in Uganda, merely about ( 4 % ) is lawfully protected from marauding development ( Lanly, 1982 ; Myers, 1984 ) . Tropical moist woods likely covered more than ( 6 % ) of Uganda 's…...
BiodiversityData AnalysisEcologyEnvironmentExtinctionScience
Pizza Hut Data analysis
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Pages • 22
IntroductionEarlier chapters have set the phase for transporting out of this research. This chapter builds on the old 1s by describing the consequences of the information analysis. The primary informations collected through interviews and questionnaire is presented in graphs along with analysis and findings. From these analysis research workers will be able to continue towards decision and recommendation.Qualitative Data analysisThis portion of chapter will analyze the interviews conducted with pizza hut direction.Scheme ImportanceTo happen out and analyze scheme planning and…...
BusinessDataData AnalysisInformationMarketingPizza
Flawless Consulting
Words • 754
Pages • 4
The process of flawless consulting is concerned about one having an impact when one is undertaking the role of consultancy. Like any other discipline worth its salt, it involves the adherence to critical skills of consultancy, critical techniques that assist to consult flawlessly and being conversant with methods to effectively deal with sponsors and management. Consulting skills consist mostly of project management, facilitation and collaboration, problem solving, communication, data analysis and spreadsheet management skills. Peter block refers to a consultant…...
BusinessDataData AnalysisManagementProblem SolvingProject Management
Discussion of coefficients
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Pages • 6
In simple or multiple linear regression, the size of the coefficient for each independent variable gives you the size of the effect that variable is having on your dependent variable, and the sign on the coefficient (positive or negative) gives you the direction of the effect. The regression equation which has a single independent variable, the coefficient tells you how much the dependent variable is expected to increase (if the coefficient is positive) or decrease (if the coefficient is negative)…...
Data AnalysisFinanceMathScientific method
Data Mining Apriori Algorithm
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Pages • 13
Recommended Systems using Collaborative Filtering and Classification Algorithms in Data Mining Dhwani Shah 2008A7PS097G Mentor – Mrs. Shubhangi Gawali BITSC331 2011 1 BITS – Pilani, K. K Birla Goa INDEX S. No. 1. 2. 3. 4. 5. 6. 7. 8. 9. Topic Introduction to Recommended Systems Problem Statement Apriori Algorithm Pseudo Code Apriori algorithm Example Classification Classification Techniques k-NN algorithm Determine a good value of k References Page No. 3 5 5 7 14 16 19 24 26 2 1.…...
DataData AnalysisData Mining
Impact of E-Marketing on Success of SMEs
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Pages • 9
RESEARCH METHODOLOGY Introduction Research methodology refers to the systematic, focused and orderly collection of data for the purpose of obtaining information in order to solve research questions (Ghauri & Gronhouag, 2005). This chapter therefore describes the way the research project has been carried out giving detail to the design and methodologies used to collect, analyze and present the research data. The study population, sampling techniques, research instruments, data collection methods, reliability and validity of the instruments and data processing, analysis…...
Data AnalysisMarketingPsychologyScienceScientific methodSuccess
Business Strategy and the Importance of Data-Driven Decision
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Pages • 5
Managers deed access to relevant historical data and projections to make intelligent, fact based decisions. The use of business intelligence and analytics has become the cornerstone of strategy formulation and execution across corporations around the globe. Access to relevant data is a necessity in not only formulating a business strategy, but in monitoring the execution of that strategy. The use of data for effective decision making is not a new concept, but since the introduction of the balanced scorecard by…...
BusinessData AnalysisDecisionsManagementStrategy
Forecasting electricity consumption demand with weather
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Pages • 7
Forecasting electricity consumption demand with weather: A comparison of regression analyses Abstract The major element of electricity resource planning is forecasting the upcoming electricity consumption. Precise forecast of electricity consumption is of primary importance in developing countries' energy planning. In the last decade, several new techniques have been used for energy consumption planning to accurately forecast future electricity consumption requirements. Consumers' living standards may vary depending on their weather sensitivity. Therefore, electricity demand is influenced by weather changes. This paper…...
DataData AnalysisElectricityForecastingScientific methodWeather
Words • 976
Pages • 4
Statistics is especially a learning idea. It analyses numerical information in giant amounts. Statistics is especially mathematical analyses of information. chance encompasses a key role in statistics. Statistics may be an assortment of tools that may use to induce answer to big question concerning information. Any measuring or information assortment effort is subject to variety of sources of variation. By this we have a tendency to mean that if constant measuring were continual, then the solution would doubtless amendment. If…...
DataData AnalysisMeanScienceScientific methodStatistic
Palpation-Guided Landmark
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Pages • 3
Palpation-guided landmark identification is the most widely used method for lumbar procedures. Unfortunately, as previously discussed the first-time success rates for epidurals placed using palpation-based landmark identification are significantly low ranging from 61-64% (Da Fonseca et al., 2002). Current literature supports the positive impact of neuraxial ultrasonography on the efficacy and precision of epidural placement (Chan et al., 2011). Yet, observation and statistics of these procedures shows that anesthesia providers are not utilizing ultrasound-guided imagery when placing epidurals despite literature…...
ChemistryDataData AnalysisHealthMedicine
Strategist/Business Analyst Statement of Purpose
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During my high-school days, I developed a penchant towards fantasy cricket league, an online game that involves creating a virtual team of 11 players within a fixed budget to earn points based on their performance in real matches. Many factors had to be considered such as analyzing players' previous performance data, before making a team. Playing the game required considerable skills, acumen, and discretion which helped me realize my strength in analyzing data. It also helped me recognize the need…...
BusinessDataData AnalysisTechnology
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FINANCIAL DEVELOPMENT, HUMAN CAPITAL AND POLITICAL STABILITYINTRODUCTIONThis paper is to examine the empirical correlation between the level of Financial Development (Independent variable) and Socio-economic variables (Dependent variable) such as Human Capital and Political Stability.Based on previous literature on the role of Human Capital in Economic Development by Abel and Todd. ( ), it was clearly claimed that there is a positive relationship between Human Capital and Economic Development. The both are directly proportional to each other; weak Human Capital would…...
Data AnalysisDevelopmentEconomicsFinanceHumanMoney
Organizational Behavior and Development
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Pages • 11
Hire Me ASAP Introduction SAP is the global leader in application enterprise software and employs just under 95,000 individuals. From small business all the way to fortune 500 companies like IBM, SAP provides software, support, and innovation. 49% of the employees currently working at SAP are millennials, and the company has remained agile due to the commitment to be a market leader. SAP impressively supports over 400,000 customers worldwide and produced over 23 billion euros in revenue in 2017. SAP…...
Data AnalysisDevelopmentOrganizational BehaviorPersonalityPsychology
Development Planning and Management
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ABSTRACT This study explores land use planning in the Agona and Atuabo oil and gas enclave. The study assesses land use planning procedures, which are followed or considered in developing oil and gas find communities/regions, to understand the motivation for urban planning intervention/ requirement in the emerging oil and gas regions, to examine how land use planning procedures and responses before and after the oil find in the region has changed or remain the same to respond to the changing…...
DataData AnalysisDevelopmentManagementPollutionUrbanization
The modern Olympic Games
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Pages • 9
Introduction The modern Olympic Games have taken place for over 100 years, and since 1912, data relating to the men's 100-metre freestyle swimming event has indicated a trend of decreasing times. By studying the progression of Olympic times in swimming events over time, the potentiality of the human body can be assessed, which also reflects how society has evolved over time and will continue to evolve in the future millennium. The results presented in this report are a product of…...
Data AnalysisOlympic GamesScientific method
Nottingham Credit Union Company
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Introduction Nottingham Credit Union (NCU) has been providing financial products, such as loans to the whole of Nottinghamshire area, since 1992. Prior to making decisions regards lending, the credit union usually carries out credit score checks on the applicant. In the past, NCU has used Experian, which is a world leading global information services company, to obtain the data on the credit history. More recently, it has changed to CallCredit- this is a much smaller credit reference agency, which provides…...
CreditDataData AnalysisScientific method
3 SYSTEM DEVELOPMENTThis system has been developed using
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3. SYSTEM DEVELOPMENTThis system has been developed using WinPython which includes the packages such as: NumPy, SciPy, Pandas, Theano , Sklearn, Matplotlib and OpenCV. The overview of the algorithm for the system is as given below. Then the temperature class together with Max and Min are used to predict the suitable crop. Algorithm explains the functioning of the entire recommendation system.Prediction of crop production using regression model and ANN: Recently, Researchers have developed several forecasting and prediction models of various…...
Data AnalysisData MiningDevelopmentPanda
The volume and diversity of data being produced by companies today is
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Pages • 3
The volume and diversity of data being produced by companies today is staggering. This abundance of data, along with the unavailability of powerful data analysis tools, has given rise to a "data rich but information poor" paradox. The ever increasing gap between data and information has generated an urgent need for new techniques which will turn these vast amounts of data into "invaluable sources" of knowledge. This realization, spawned from two years of work experience as a data engineer, has…...
DataData AnalysisDiversityScience And TechnologyTechnology
Sport Analytics
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The motive of this research paper is to study the benefits of incorporating data analytics, logistical regression analysis using open source data for play selections of two NFL teams, the Cleveland Browns and the Pittsburgh Steelers between the 2000 and the 2012 seasons. Both teams are in the American Football Conference (AFC) and are only 135 miles from each other. As cities, both Cleveland and Pittsburgh harness a blue collar culture and they are both roughly the same market size.…...
Big DataDataData AnalysisSoftwareSports
Manuscript AIJ2
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Pages • 3
Abstract In this paper, the efficiency of estimators with several independent auxiliary variables has been examined in robust regression methods. The mean squared errors of the proposed estimators were derived up to second degree approximation using Taylor's series approximation. The empirical study was conducted and the results revealed that proposed estimators were more efficient. Keywords: Estimators, Auxiliary variables, Multiple Regression, Outliers, Efficiency Introduction The auxiliary variables that are related to the study variables are useful in the improving efficiency of…...
Data AnalysisOther
Relationship Between Exam Performance and Seven Independent Variables
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In this report we are going to analyze the relationship between exam performance and seven independent variables. These independent variables include the students last high school grade in math, the student's statistics II exam, the general interest in statistics, how well the teacher explained the content, how many hours the student spend studying, how social the student is and the student's gender. The goal of this analysis is to evaluate which variables are the best predictors of the exam performance…...
Data AnalysisRelationshipScientific method
DATA ANALYSIS PRESENTATION AND INTERPRETATIONIntroductionThe objective of this chapter is to report
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DATA ANALYSIS, PRESENTATION AND INTERPRETATIONIntroductionThe objective of this chapter is to report the results of the data collected during the study. The chapter describes the outcomes of the questionnaires that were used to conduct the study. It shows the response rate, demographic information of respondents and findings on the influence of classroom management on the academic performance of students in public secondary schools in Sialkot District.Table 1 shows the findings of the research. Table presents the views of students about…...
ClassroomDataData AnalysisTeacher
Qualitative Data Analysis
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ABSTRACT Content analysis is a highly adaptable technique which is utilized in all fields and application with varying objectives and research goals. It is generally utilized with the assistance of a qualitative research technique. This article begins with the discourse of the foundation of qualitative data analysis and the purpose of data analysis. It proceeds with a discussion of how the Inductive and deductive research methodologies are used to analyze the qualitative data. The main aim of this paper is…...
DataData AnalysisQualitiesResearchTheory
Data analysis
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Pages • 4
I also thought that the target groups characteristics might interact with instructional formats as well as with the learning materials complexity. I drew this assumption from the Feedback Intervention Theory (FIT). In their meta-analysis on learning from feedback, Kluger and DeNisi (1996) tested several moderators, moderating the relationship between interpreting feedback as occurring in the experiential learning circle, and performance improvement. These moderating variables are related to person related variables such as cognitive ability, self-efficacy, or locus of control, the…...
DataData AnalysisEducationLearningPsychology
Method of data analysis
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Thematic analysis was used to make meaningful deductions from the documented raw data. In thematic analysis, a concept is chosen for examination, and the analysis involves noting the frequency of its presence in the whole interview, and finding interrelations among the themes identified. The focus is at the occurrence of selected terms within a text or texts, although the terms may be implicit as well as explicit. While explicit terms obviously are easy to identify, coding for implicit terms and…...
CommunicationDataData AnalysisPsychology
Data Mining Analysis Report
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Pages • 3
Collecting complete and precise information of overall goods investing requires the access to spend data from all relevant sources both within and outside the business. Excellent data can not be gathered when spend analysis is not supported by stakeholders including customers, suppliers, and internal customers. Type a spend analysis group The company requires to realize that invest analysis is too vital to be appointed as an additional responsibility of buying department. An invest analysis team need to be formed and…...
DataData AnalysisData Mining
Rondell Data Corporation Study Question Analysis
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1.What are the goals and subunit orientations of the different functions in Rondell? The five principal functions in Rondell that must work together to produce new products are production, sales, research, engineering services (part of engineering), and the control department (containing accounting, purchasing, and materials control). Each function contributes something unique and has adistinct subunit orientation. a. Production minimizes manufacturing costs. The goal is to obtain products from the engineering designdepartment for easy and inexpensive manufacturing. The manager in charge…...
CorporationDataData AnalysisDesignEngineeringOrganization
Quantitative Methods for Business
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Quantitative techniques are mathematical and reproducible. Regression analysis is an example of one such technique. Statistical analysis is also an example of a quantitative technique. Quantitative techniques are applied for business analysis to optimize decision making IE profit maximization and cost minimization. It covers linear programming models and other special algorithms, inventory and production models. Albert Humphrey, a management consultant who specialized in organizational management, devised the SWOT analysis technique at Stanford Research Institute in the 1960s. Today, not only…...
BusinessData AnalysisResearchSwot Analysis
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 values of a variable. Data is plural of datum which literally means…...
DataData AnalysisExperimentInterviewResearch
A glimpse of Big Data
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“Big data is not a precise term; rather it's a characterization of the never ending accumulation of all kinds of data, most of it unstructured. It describes data sets that are growing exponentially and that are too large, too raw or too unstructured for analysis using relational database techniques. Whether terabytes or petabytes, the precise amount is less the issue than where the data ends up and how it is used.”------Cite from EMC’s report “Big data: Big opportunity to create…...
Big DataBusinessData AnalysisTechnology
The Chief Information Officer
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Pages • 7
As the newly Chief Information Officer (CIO) for our company I highly understand the drive to become a leading provider and advisor for data collection and analysis field. With the leading edge equipment Web analytics and operating systems data the future of the company looks promising. Becoming a foremost consultant of Web analytics in this market will be fortuitist to the company. The vision of the Chief Executive Officer (CEO) will be foreseen in the near future with the proper…...
Data AnalysisInformation
Overcoming the Autocorrelation Problem in Data Analysis
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Pages • 2
Several approaches to data analysis can be used when autocorrelation is present. One uses additional independent variables and another transforms the independent variable. Addition of Independent Variables Often the reason autocorrelation occurs in regression analyses is that one or more important predictor variables have been left out of the analysis. For example, suppose a researcher develops a regression forecasting model that attempts to predict sales of new homes by sales of used homes over some period of time. Such a…...
DataData Analysis
Nursing Research Critique Assignment
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I will be critiquing two different articles. Both studies are nursing studies that evaluate outcomes. I will be following specific key points for a quantitative perspective and a qualitative perspective. There is a guideline that I will be following for each article that includes identifying and examining the data collection and data analysis methodologies used in each study. The names of the articles are The Experience of Patients Undergoing Awake Craniotomy and The Effects of Crossed Leg Blood Pressure Measurement.…...
DataData AnalysisNursingResearch
DataClear Company Analysis: Go Global – or No?
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Pages • 4
Executive Summary DataClear, a US based company within its two years of operations since 1998 has occupied a dominant position in the data analysis market of US by serving telecommunications industry and financial service providers. The company feels threatened by the VisiDat’s upcoming data analysis package with the global targets. CEO, Greg McNally and other key personnel have realised the competitive threats and need of maintaining company’s competitiveness. For this, there is a dilemma of whether to internationalise the business…...
CommunicationCompanyData AnalysisInnovation
Analysis and Interpretation
Words • 1000
Pages • 4
Data analysis and data interpretation are closely related, but have different meanings. Lets first define the meaning of the word data. Data is defined as factual information that can be used as a basis for reasoning, discussion, or calculation. There are several different types of data. It can also be defined as information output by a sensing device or organ that includes both useful and irrelevant or redundant information and must be processed to be meaningful. Now that data has…...
Data AnalysisData MiningInterpretation
Practical Application of Statistics in Nursing
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Pages • 7
Statistics is a fundamental part of human knowledge. It is known to be the exact science of collection, interpretation, analysis and presentation of data. It is a mathematical science that gathers and explains causal phenomenon or relationship, analyzes and presents measurements, collects and analyzes information base on factual sources and presents data as accurate as possible. As Fowler, Chevannes and Jarvis (2002) put it, “Statistics looks at ways of organizing, summarizing and describing quantifiable data, and methods of drawing inferences…...
Data AnalysisDiseaseNursingResearchStatistic
The New Frontier: Data Analytics
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What is data analytics? How has its use in business evolved over time? What are the advantages and disadvantages of using data analytics within a specific company or industry? Are there any challenges or obstacles that business management must overcome in order to implement data analytics? If so, is there a strategy that can be used to overcome those challenges or obstacles? How has data analytics transformed the healthcare industry with regard to customer responsiveness and satisfaction? Within the next…...
Big DataDataData Analysis
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