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Exploratory data analysis

Xem 1-20 trên 49 kết quả Exploratory data analysis
  • As high-throughput sequencing applications continue to evolve, the rapid growth in quantity and variety of sequence-based data calls for the development of new software libraries and tools for data analysis and visualization.

    pdf14p vicolorado2711 22-10-2020 7 0   Download

  • This chapter presents the use of charts to present data and the initial exploration of data using tools like cross-tabulation. After reading this chapter, you should understand: That exploratory data analysis techniques provide insights and data diagnostics by emphasizing visual representations of the data; how cross-tabulation is used to examine relationships involving categorical variables, serves as a framework for later statistical testing, and makes an efficient tool for data visualization and later decision-making.

    ppt33p estupendo4 24-08-2016 34 2   Download

  • Chapter 16 - Exploring, displaying, and examining data. After studying this chapter you will be able to understand: That exploratory data analysis techniques provide insights and data diagnostics by emphasizing visual representations of the data; how cross-tabulation is used to examine relationships involving categorical variables, serves as a framework for later statistical testing, and makes an efficient tool for data visualization and later decision-making.

    ppt41p dien_vi01 21-11-2018 16 2   Download

  • Many R packages have been developed for transcriptome analysis but their use often requires familiarity with R and integrating results of different packages requires scripts to wrangle the datatypes. Furthermore, exploratory data analyses often generate multiple derived datasets such as data subsets or data transformations, which can be difficult to track.

    pdf8p viconnecticut2711 29-10-2020 2 0   Download

  • Biomolecular pathways and networks are dynamic and complex, and the perturbations to them which cause disease are often multiple, heterogeneous and contingent. Pathway and network visualizations, rendered on a computer or published on paper, however, tend to be static, lacking in detail, and ill-equipped to explore the variety and quantities of data available today, and the complex causes we seek to understand.

    pdf9p viwyoming2711 16-12-2020 5 0   Download

  • 1. Exploratory Data Analysis 1. Exploratory Data Analysis This chapter presents the assumptions, principles, and techniques necessary to gain insight into data via EDA--exploratory data analysis. 1. EDA Introduction 1. What is EDA? 2. EDA vs Classical & Bayesian 3. EDA vs Summary 4. EDA Goals 5. The Role of Graphics 6. An EDA/Graphics Example 7. General Problem Categories 3. EDA Techniques 1. Introduction 2. Analysis Questions 3. Graphical Techniques: Alphabetical 4. Graphical Techniques: By Problem Category 5. Quantitative Techniques 6.

    pdf42p luly_meo10 20-02-2012 36 3   Download

  • Key motivations of data exploration include Helping to select the right tool for preprocessing or analysis Making use of humans’ abilities to recognize patterns People can recognize patterns not captured by data analysis tools Related to the area of Exploratory Data Analysis (EDA) Created by statistician John Tukey Seminal book is Exploratory Data Analysis by Tukey A nice online introduction can be found in Chapter 1 of the NIST Engineering Statistics Handbook http://www.itl.nist.gov/div898/handbook/index.htm...

    ppt41p trinh02 18-01-2013 51 3   Download

  • Increased emphasis on reproducibility of published research in the last few years has led to the large-scale archiving of sequencing data. While this data can, in theory, be used to reproduce results in papers, it is difficult to use in practice.

    pdf6p vioklahoma2711 19-11-2020 5 0   Download

  • .paurav shukla download free s at bookboon.com 2 .marketing research – exercises © 2008 paurav shukla & ventus publishing aps isbn 978-87-7681-439-7 download free s at bookboon.com 3 .marketing research – exercises contents contents 1.

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  • The study aims to explore and measure the relationship between employees and customers impacting positively to the word-of-mouth of customers who bought house from the real estate developers in Ho Chi Minh City. The study was based on survey data from 300 customers who bought house from the real estate developers in Ho Chi Minh City and using techniques of Cronbach Alpha analysis and Exploratory Factor Analysis (EFA).

    pdf12p vithomasedison2711 14-08-2019 18 0   Download

  • The purpose of this study is to analyze the impact of Work-Family Conflict on job performance of nurses working for hospitals in Ho Chi Minh City (HCMC). The study conducts survey with 221 nurses working for hospitals in HCMC by questionnaires. The data was analyzed by techniques: Descriptive statistics, Exploratory Factor Analysis (EFA) and regression analysis.

    pdf13p vithomasedison2711 14-08-2019 9 0   Download

  • This paper tries to extract important components in consumer protection from the consumer point of view in order to ensure that the efforts exerted by the regulators will yield effective and capable consumer protection. Principle Component Analysis (PCA) is used in exploratory data analysis to 265 consumer surveys that were obtained from the customers of banks in Saudi Arabia. We found through PCA Varimax rotation that consumer protection can be achieved through banking services and privacy of consumers.

    pdf21p cothumenhmong4 24-03-2020 10 0   Download

  • The objective of this research was to study the communication factors affecting the tourism services in Loei, Nong Khai, Bueng Kan, Nakhon Phanom, and Mukdahan provinces of Thailand. Purposive sampling was applied, and the sample group comprised 300 accommodation business receptionists and package tour sales staff. A questionnaire was used as a tool to collect the data, and exploratory factor analysis (EFA( and confirmatory factor analysis (CFA( were utilized to analyze the collected data)

    pdf8p tozontozon 25-04-2020 13 0   Download

  • This article attempts to examine the factors that affect the mechanism of mobilizing and utilizing financial resources in building new countryside in Vietnam. Based on the primary data gathered from 480 inhabitants, managers and enterprises in Nghe An province and through exploratory factor analysis (EFA) and linear regression.

    pdf8p tozontozon 25-04-2020 3 0   Download

  • Differential abundance analysis is widely used with high-throughput sequencing data to compare gene abundance or expression between groups of samples. Many software packages exist for this purpose, but each uses a unique set of statistical assumptions to solve problems on a case-by-case basis.

    pdf5p vicolorado2711 23-10-2020 7 0   Download

  • Principal component analysis (PCA) is frequently used in genomics applications for quality assessment and exploratory analysis in high-dimensional data, such as RNA sequencing (RNA-seq) gene expression assays. Despite the availability of many software packages developed for this purpose, an interactive and comprehensive interface for performing these operations is lacking.

    pdf8p vijisoo2711 27-10-2020 3 0   Download

  • Functional genomic and epigenomic research relies fundamentally on sequencing based methods like ChIP-seq for the detection of DNA-protein interactions. These techniques return large, high dimensional data sets with visually complex structures, such as multi-modal peaks extended over large genomic regions.

    pdf11p vioklahoma2711 19-11-2020 4 0   Download

  • To leverage the potential of multi-omics studies, exploratory data analysis methods that provide systematic integration and comparison of multiple layers of omics information are required. We describe multiple co-inertia analysis (MCIA), an exploratory data analysis method that identifies co-relationships between multiple high dimensional datasets.

    pdf13p vikentucky2711 26-11-2020 7 0   Download

  • This study used the exploratory factor analysis (EFA), confirmative factor analysis (CFA), structural equation modeling (SEM) and set of five determinants affecting to the city’s AC related to finance, society, infrastructure, human resources, nature. A socio-economic data was conducted in the survey of 1,168 households in Da Nang city.

    pdf11p larachdumlanat129 14-01-2021 3 0   Download

  • This study analyzes data collected from 178 Vietnamese garment companies with AIS in an ERP environment. Then, Cronbach’s Alpha test and Exploratory Factor Analysis (EFA) are conducted to assess the reliability of variables.

    pdf19p larachdumlanat129 19-01-2021 10 0   Download

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