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How to Manage, Analyze, and Interpret Survey Data

Seminary Clearly written with useful checklists, guidelines, and examples, How to Manage, Analyze, and Interpret Survey Data shows readers how;

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Modeling Survival Data

on recent developments motivated by counting process and martingale theory, it shows the reader how to extend the Cox model to analyze;

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From Questions to Actions

how to collect and analyze data with an eye toward positive change. In addition to gaining an overview of the questionnaire process, you'll;

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From Questions to Actions

how to collect and analyze data with an eye toward positive change. In addition to gaining an overview of the questionnaire process, you'll;

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Data Analysis & Statistics for Nursing Research

is given to quantitative methods. Other features include management of data, how to "clean" data, and how to work around missing data.

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Data Mashups In R

Data analysis is more than means and standard deviations. This ebook is a case study of how you can push R into new territory to analyze;

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Performance Testing Microsoft .Net Web Applications

quality performance standards, explaining how to plan and execute performance tests, configure profile tools, analyze data and transaction costs;

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Thinking Qualitatively: Methods of Mind

This book boldly pursues the challenge to teach researchers not just how to collect and analyze data but how to actively think about them.;

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Microsoft Excel 2013 Step By Step

The smart way to learn Excel 2013-one step at a time! Experience learning made easy-and quickly teach yourself how to manage, analyze;

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Statistics and Data Analysis for Nursing Research

The second edition of Statistics and Data Analysis for Nursing, uses a conversational style to teach students how to use statistical;

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Mobile Data Visualization

Mobile Data Visualization is the first book to provide an overview of how to e ffectively visualize, analyze, and communicate data on;

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Data Wrangling with Python

How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on;

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Be Data Literate

understand the right questions to ask or how to use the information generated to make decisions. Be Data Literate is the essential guide to;

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Be Data Literate

understand the right questions to ask or how to use the information generated to make decisions. Be Data Literate is the essential guide to;

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The Book of Alternative Data

investors and risk managers throughout the financial world. Methodologies to analyze and extract value from alternative data, guidance on how to;

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Data Gathering Analysis & Protection Of

tackles how to gather and analyze data relating to stigmatizing human traits. S.L. Warner invented RRT and published it in JASA, 1965. In the 50;

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Security Data Visualization

the field. Greg Conti, creator of the network and security visualization tool RUMINT, shows you how to graph and display network data using a;

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Learning Apache Drill Query and Analyze Distributed Data Sources with SQL

practical book, Drill committers Charles Givre and Paul Rogers show analysts and data scientists how to query and analyze raw data using this;

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Statistics for Biomedical Engineers and Scientists

Statistics for Biomedical Engineers and Scientists: How to Analyze and Visualize Data provides an intuitive understanding of the;

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Mining Social Media

With Scraping Social Media you'll learn how to find out what kind of data is available on popular social media juggernauts like Facebook;

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Analysis Biomarker Data Practical Guide

A how to guide for applying statistical methods to biomarker data analysis Presenting a solid foundation for the statistical methods;

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Basic Python for Data Management, Finance, and Marketing

Learn how to gather, manipulate, and analyze data with Python. This book is a practical guide to help you get started with Python from;

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Environmental Statistics with S-Plus

collect and analyze environmental data. The book explains what these methods are, how to use them, and where to find references to them;

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Frailty Model

survival data. In this book different methods based on the frailty model are described and it is demonstrated how they can be used to analyze;

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Bioinformatics Data Skills

guide, you'll learn how to use freely available open source tools to extract meaning from large complex biological data sets. At no other point;

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Practical Data Analysis Using Jupyter Notebook

out how to use Python code to extract insights from data using real-world examples Work with structured data and free text sources to answer;

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Statistics And Data Analysis For Nursing Research

The second edition of Statistics and Data Analysis for Nursing, uses a conversational style to teach students how to use statistical;

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