Data analysis

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  • Tham khảo sách 'excel data analysis', công nghệ thông tin, tin học văn phòng phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Data Analysis and Presentation Skills: An Introduction for the Life and Medical Sciences is an invaluable text allowing students to develop appropriate key skills when designing experiments, generating results, analysing data and ultimately presenting findings to academics and referees. Taking a hands-on approach, each of these key areas is introduced clearly and carefully, showing how to access and evaluate information using a variety of resources. Basic analytical theory is gradually introduced alongside practical applications to enhance student understanding.

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  • Spreadsheets provide one of the most easily learned routes to scientific computing. This book uses Excel®, the most powerful spreadsheet available, to explore and solve problems in general and chemical data analysis. It follows the usual sequence of college textbooks in analytical chemistry: statistics, chemical equilibria, pH calculations, titrations, and instrumental methods such as chromatography, spectrometry, and

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  • If you were to ask a random sampling of people what data analysis is, most would say that it is the process of calculating and summarizing data to get an answer to a question. In one sense, they are correct. However, the actions they are describing represent only a small part of the process known as data analysis

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  • Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you’ll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.

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  • The first question that I ask an environmental science student who comes seeking my advice on a data analysis problem is Have you looked at your data? Very often, after some beating around the bush, the student answers, Not really. The student goes on to explain that he or she loaded the data into an analysis package provided by an advisor, or downloaded off the web, and it didn’t work. The student tells me, Something is wrong with my data! I then ask my second question: Have you ever used the analysis package with a dataset that did work? After some further beating around the bush,...

    pdf282p maket1311 16-10-2012 34 10   Download

  • Tham khảo sách 'statistics and data analysis for the behavioral sciences', khoa học tự nhiên, vật lý phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • These days it seems like everyone is collecting data. But all of that data is just raw information -- to make that information meaningful, it has to be organized, filtered, and analyzed. Anyone can apply data analysis tools and get results, but without the right approach those results may be useless. Author Philipp Janert teaches you how to think about data: how to effectively approach data analysis problems, and how to extract all of the available information from your data.

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  • Bài giảng "Phân tích dữ liệu trong phân tích định lượng - Data analysis quantitative research" giới thiệu tới người đọc các kiến thức: Sơ lược về SPSS, nghiên cứu khoa học và phân tích dữ liệu, quy trình nghiên cứu, vấn đề nghiên cứu,... Mời các bạn cùng tham khảo.

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  • n these lecture notes, a selection of frequently required statistical tools will be introduced and illustrated. They allow to post-process data that stem from, e.g., large-scale numerical simulations. From a point of view of data analysis, the concepts and techniques introduced here are of general interest and are, at best, employed by computational aid. Consequently, an exemplary implementation of the presented techniques using the Python programming language is provided.

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  • Before you start working your way through this book, you may ask yourself— Why analyze data? This is an important, basic question, and it has several compelling answers. The simplest need for data analysis arises most naturally in disciplines addressing phenomena that are, in all likelihood, inherently nondeterministic (e.g., feelings and psychology or stock market behavior). Since such fields of knowledge are not governed by known fundamental equations, the only way to generalize disparate observations into expanded knowledge is to analyze those observations.

    pdf0p thienbinh1311 13-12-2012 25 2   Download

  • Tham khảo sách 'microarrays volume 2: applications and data analysis', y tế - sức khoẻ, y học thường thức phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

    pdf471p bachduong1311 10-12-2012 24 1   Download

  • Data analysis and data mining are a subset of business intelligence, which also incorporates data warehousing, database management systems, and Online Analytical Processing. In this chapter introduce data analysis and mining with the following contents: Decision support systems, data analysis and olap, data warehousing, data mining.

    pdf52p nomoney5 01-03-2017 1 1   Download

  • (BQ) Part 1 book "An introduction to statistical methods and data analysis" has contents: Statistics and the scientific method; using surveys and experimental studies to gather data; data description, probability and probability distributions; inferences about population central values; inferences comparing two population central values,...and other contents.

    pdf586p bautroibinhyen23 02-04-2017 1 1   Download

  • (BQ) Part 2 book "An introduction to statistical methods and data analysis" has contents: Linear regression and correlation, multiple regression and the general linear model; further regression topics, analysis of variance for blocked designs, the analysis of covariance; analysis of variance for some unbalanced designs

    pdf712p bautroibinhyen23 02-04-2017 1 1   Download

  • Useful business analysis requires you to effectively transform data into actionable information. This book helps you use SQL and Excel to extract business information from relational databases and use that data to define business dimensions, store transactions about customers, produce results, and more. Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what the results should look like....

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  • When folks ask me what I do for a professional career, I usually tell them, “I write books about computers.” For those who are computer literate, the discussion usually continues this way: Them: “What subjects have you written about?” Me: “Mostly about using Microsoft Excel.” Them: “Like using Excel to do what?” Me: “Analyze data. In fact, I’m currently working on a book that will cover analyzing data using the Excel what-if tools.

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  • This book is an outgrowth of research done by Dr. Gamt Dijsterhuis for his doctoral thesis at the University of Leiden. However, there are also contributions by several other authors, as well, including Eeke van der Burg, John Gower, Pieter Punter, Els van den Broek, and Margo Flipsen. SCIENCE Garmt B. Dijksterhuis, Ph.D. ID-DLO, Institute for Animal Science and Health Food Science Department Lely stad The Netherlands FOOD & NUTRITION PRESS, INC. TRUMBULL, CONNECTICUT 06611 USA .MULTIVARIATE DATA ANALYSIS IN SENSORY AND CONSUMER SCIENCE .

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  • This book offers practical recipes to solve a variety of common problems that users have with extracting Access data and performing calculations on it. Whether you use Access 2007 or an earlier version, this book will teach you new methods to query data, different ways to move data in and out of Access, how to calculate answers to financial and investment issues, how to jump beyond SQL by manipulating data with VBA, and more.

    pdf368p trac2_123 16-04-2013 28 4   Download

  • Almost all research in the social and behavioral sciences, and also in eco­ nomic and marketing research, criminological research, and social medical research deals with the analysis of categorical data. Categorical data are quantified as either nominal or ordinal variables. This volume is a collec­ tion of up-to-date studies on modern categorical data analysis methods, emphasizing their application to relevant and interesting data sets.

    pdf274p banhkem0908 24-11-2012 25 2   Download

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