Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Eda Explorative Daten Analyse
Download Eda Explorative Daten Analyse full books in PDF, epub, and Kindle. Read online Eda Explorative Daten Analyse ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Exploratory Data Analysis by : Frederick Hartwig
Download or read book Exploratory Data Analysis written by Frederick Hartwig and published by SAGE. This book was released on 1979 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the underlying principles, central concepts, and basic techniques for conducting and understanding exploratory data analysis - with numerous social science examples.
Book Synopsis Exploratory Data Analysis with MATLAB by : Wendy L. Martinez
Download or read book Exploratory Data Analysis with MATLAB written by Wendy L. Martinez and published by CRC Press. This book was released on 2004-11-29 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploratory data analysis (EDA) was conceived at a time when computers were not widely used, and thus computational ability was rather limited. As computational sophistication has increased, EDA has become an even more powerful process for visualizing and summarizing data before making model assumptions to generate hypotheses, encompassing larger a
Book Synopsis Applications, Basics, and Computing of Exploratory Data Analysis by : Paul F. Velleman
Download or read book Applications, Basics, and Computing of Exploratory Data Analysis written by Paul F. Velleman and published by . This book was released on 1981 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stem-and-left displays; Letter-value displays; Boxplots; x-y plotting; Resistant line; Smoothing data; Coded tables; Median polish; Rootograms; Computer graphics; Utility programs; Programming conventions; Minitab implementation; Appendices; Index.
Book Synopsis Exploratory Data Analysis by : John Wilder Tukey
Download or read book Exploratory Data Analysis written by John Wilder Tukey and published by Addison-Wesley Publishing Company. This book was released on 1977 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book serves as an introductory text for exploratory data analysis. It exposes readers and users to a variety of techniques for looking more effectively at data. The emphasis is on general techniques, rather than specific problems.
Book Synopsis Exploratory Analysis of Spatial and Temporal Data by : Natalia Andrienko
Download or read book Exploratory Analysis of Spatial and Temporal Data written by Natalia Andrienko and published by Springer. This book was released on 2016-04-01 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploratory data analysis (EDA) is about detecting and describing patterns, trends, and relations in data, motivated by certain purposes of investigation. As something relevant is detected in data, new questions arise, causing specific parts to be viewed in more detail. So EDA has a significant appeal: it involves hypothesis generation rather than mere hypothesis testing. The authors describe in detail and systemize approaches, techniques, and methods for exploring spatial and temporal data in particular. They start by developing a general view of data structures and characteristics and then build on top of this a general task typology, distinguishing between elementary and synoptic tasks. This typology is then applied to the description of existing approaches and technologies, resulting not just in recommendations for choosing methods but in a set of generic procedures for data exploration. Professionals practicing analysis will profit from tested solutions - illustrated in many examples - for reuse in the catalogue of techniques presented. Students and researchers will appreciate the detailed description and classification of exploration techniques, which are not limited to spatial data only. In addition, the general principles and approaches described will be useful for designers of new methods for EDA.
Book Synopsis Exploratory Data Analysis with MATLAB, Second Edition by : Wendy L. Martinez
Download or read book Exploratory Data Analysis with MATLAB, Second Edition written by Wendy L. Martinez and published by CRC Press. This book was released on 2010-12-16 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the publication of the bestselling first edition, many advances have been made in exploratory data analysis (EDA). Covering innovative approaches for dimensionality reduction, clustering, and visualization, Exploratory Data Analysis with MATLAB®, Second Edition uses numerous examples and applications to show how the methods are used in practice. New to the Second Edition Discussions of nonnegative matrix factorization, linear discriminant analysis, curvilinear component analysis, independent component analysis, and smoothing splines An expanded set of methods for estimating the intrinsic dimensionality of a data set Several clustering methods, including probabilistic latent semantic analysis and spectral-based clustering Additional visualization methods, such as a rangefinder boxplot, scatterplots with marginal histograms, biplots, and a new method called Andrews’ images Instructions on a free MATLAB GUI toolbox for EDA Like its predecessor, this edition continues to focus on using EDA methods, rather than theoretical aspects. The MATLAB codes for the examples, EDA toolboxes, data sets, and color versions of all figures are available for download at http://pi-sigma.info
Book Synopsis Exploratory Data Analysis with Python Cookbook by : Ayodele Oluleye
Download or read book Exploratory Data Analysis with Python Cookbook written by Ayodele Oluleye and published by Packt Publishing Ltd. This book was released on 2023-06-30 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extract valuable insights from data by leveraging various analysis and visualization techniques with this comprehensive guide Purchase of the print or Kindle book includes a free PDF eBook Key Features Gain practical experience in conducting EDA on a single variable of interest in Python Learn the different techniques for analyzing and exploring tabular, time series, and textual data in Python Get well versed in data visualization using leading Python libraries like Matplotlib and seaborn Book DescriptionIn today's data-centric world, the ability to extract meaningful insights from vast amounts of data has become a valuable skill across industries. Exploratory Data Analysis (EDA) lies at the heart of this process, enabling us to comprehend, visualize, and derive valuable insights from various forms of data. This book is a comprehensive guide to Exploratory Data Analysis using the Python programming language. It provides practical steps needed to effectively explore, analyze, and visualize structured and unstructured data. It offers hands-on guidance and code for concepts such as generating summary statistics, analyzing single and multiple variables, visualizing data, analyzing text data, handling outliers, handling missing values and automating the EDA process. It is suited for data scientists, data analysts, researchers or curious learners looking to gain essential knowledge and practical steps for analyzing vast amounts of data to uncover insights. Python is an open-source general purpose programming language which is used widely for data science and data analysis given its simplicity and versatility. It offers several libraries which can be used to clean, analyze, and visualize data. In this book, we will explore popular Python libraries such as Pandas, Matplotlib, and Seaborn and provide workable code for analyzing data in Python using these libraries. By the end of this book, you will have gained comprehensive knowledge about EDA and mastered the powerful set of EDA techniques and tools required for analyzing both structured and unstructured data to derive valuable insights.What you will learn Perform EDA with leading python data visualization libraries Execute univariate, bivariate and multivariate analysis on tabular data Uncover patterns and relationships within time series data Identify hidden patterns within textual data Learn different techniques to prepare data for analysis Overcome challenge of outliers and missing values during data analysis Leverage automated EDA for fast and efficient analysis Who this book is forWhether you are a data analyst, data scientist, researcher or a curious learner looking to analyze structured and unstructured data, this book will appeal to you. It aims to empower you with essential knowledge and practical skills for analyzing and visualizing data to uncover insights. It covers several EDA concepts and provides hands-on instructions on how these can be applied using various Python libraries. Familiarity with basic statistical concepts and foundational knowledge of python programming will help you understand the content better and maximize your learning experience.
Book Synopsis Exploratory Data Analysis in Empirical Research by : Manfred Schwaiger
Download or read book Exploratory Data Analysis in Empirical Research written by Manfred Schwaiger and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents a selection of new methods and approaches in the field of Exploratory Data Analysis. The reader will find numerous ideas and examples for cross disciplinary applications of classification and data analysis methods in fields such as data and web mining, medicine and biological sciences as well as marketing, finance and management sciences.
Book Synopsis Understanding Robust and Exploratory Data Analysis by : David C. Hoaglin
Download or read book Understanding Robust and Exploratory Data Analysis written by David C. Hoaglin and published by . This book was released on 1983 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Textbook on robust and exploratory data analysis and related statistical methods - covers stem-and-leaf displays, letter values, boxplots and batch graphic displays, resistant lines, analysis of two- way tables by medians, examining residuals, mathematical aspects of transformation, scale estimators, comparison of location estimators, confidence intervals for location, etc. References.
Book Synopsis Exploratory Data Analysis with R by : Roger Peng
Download or read book Exploratory Data Analysis with R written by Roger Peng and published by Lulu.com. This book was released on 2016 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the essential exploratory techniques for summarizing data with R. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the date you have. We will cover in detail the plotting systems in R as well as some of the basic principles of contructing informative data graphics. We will also cover some of the common multivariate statistical techniques uses to visualize high-dimensional data. Some of the topics we cover are making exploratory graphs, principles of analytic graphics, plotting systems and graphics devices in R, the base and ggplot2 plotting systems in R, clustering methods, and dimension reduction techniques. (Quelle: buchcover).
Book Synopsis Exploratory Data Analysis with MATLAB by : Wendy L. Martinez
Download or read book Exploratory Data Analysis with MATLAB written by Wendy L. Martinez and published by CRC Press. This book was released on 2017-08-07 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the Second Edition: "The authors present an intuitive and easy-to-read book. ... accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate the reader unfamiliar with MATLAB." —Adolfo Alvarez Pinto, International Statistical Review "Practitioners of EDA who use MATLAB will want a copy of this book. ... The authors have done a great service by bringing together so many EDA routines, but their main accomplishment in this dynamic text is providing the understanding and tools to do EDA. —David A Huckaby, MAA Reviews Exploratory Data Analysis (EDA) is an important part of the data analysis process. The methods presented in this text are ones that should be in the toolkit of every data scientist. As computational sophistication has increased and data sets have grown in size and complexity, EDA has become an even more important process for visualizing and summarizing data before making assumptions to generate hypotheses and models. Exploratory Data Analysis with MATLAB, Third Edition presents EDA methods from a computational perspective and uses numerous examples and applications to show how the methods are used in practice. The authors use MATLAB code, pseudo-code, and algorithm descriptions to illustrate the concepts. The MATLAB code for examples, data sets, and the EDA Toolbox are available for download on the book’s website. New to the Third Edition Random projections and estimating local intrinsic dimensionality Deep learning autoencoders and stochastic neighbor embedding Minimum spanning tree and additional cluster validity indices Kernel density estimation Plots for visualizing data distributions, such as beanplots and violin plots A chapter on visualizing categorical data
Book Synopsis Graphical Exploratory Data Analysis by : S. H C Dutoit
Download or read book Graphical Exploratory Data Analysis written by S. H C Dutoit and published by . This book was released on 1986-10-01 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Exploratory and Multivariate Data Analysis by : Michel Jambu
Download or read book Exploratory and Multivariate Data Analysis written by Michel Jambu and published by Elsevier. This book was released on 1991-09-09 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: With a useful index of notations at the beginning, this book explains and illustrates the theory and application of data analysis methods from univariate to multidimensional and how to learn and use them efficiently. This book is well illustrated and is a useful and well-documented review of the most important data analysis techniques. - Describes, in detail, exploratory data analysis techniques from the univariate to the multivariate ones - Features a complete description of correspondence analysis and factor analysis techniques as multidimensional statistical data analysis techniques, illustrated with concrete and understandable examples - Includes a modern and up-to-date description of clustering algorithms with many properties which gives a new role of clustering in data analysis techniques
Book Synopsis Modern Data Analysis by : Robert L. Launer
Download or read book Modern Data Analysis written by Robert L. Launer and published by Academic Press. This book was released on 2014-05-12 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern Data Analysis contains the proceedings of a Workshop on Modern Data Analysis held in Raleigh, North Carolina, on June 2-4, 1980 under the auspices of the United States Army Research Office. The papers review theories and methods of data analysis and cover topics ranging from single and multiple quantile-quantile (Q-Q) plotting procedures to biplot display and pencil-and-paper exploratory data analysis methods. Projection pursuit methods for data analysis are also discussed. Comprised of nine chapters, this book begins with an introduction to styles of data analysis techniques, followed by an analysis of single and multiple Q-Q plotting procedures. Problems involving extreme-value data and the behavior of sample averages are considered. Subsequent chapters deal with the use of smelting in guiding re-expression; geometric data analysis; and influence functions and regression diagnostics. The final chapter examines the use and interpretation of robust analysis of variance for the general non-full-rank linear model. The procedures are described in terms of their mathematical structure, which leads to efficient computational algorithms. This monograph should be of interest to mathematicians and statisticians.
Book Synopsis Exploratory Data Analysis in Business and Economics by : Thomas Cleff
Download or read book Exploratory Data Analysis in Business and Economics written by Thomas Cleff and published by . This book was released on 2013-11-30 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Data Analysis and Data Mining by : Adelchi Azzalini
Download or read book Data Analysis and Data Mining written by Adelchi Azzalini and published by Oxford University Press. This book was released on 2012-04-23 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to statistical data mining, Data Analysis and Data Mining is both textbook and professional resource. Assuming only a basic knowledge of statistical reasoning, it presents core concepts in data mining and exploratory statistical models to students and professional statisticians-both those working in communications and those working in a technological or scientific capacity-who have a limited knowledge of data mining. This book presents key statistical concepts by way of case studies, giving readers the benefit of learning from real problems and real data. Aided by a diverse range of statistical methods and techniques, readers will move from simple problems to complex problems. Through these case studies, authors Adelchi Azzalini and Bruno Scarpa explain exactly how statistical methods work; rather than relying on the "push the button" philosophy, they demonstrate how to use statistical tools to find the best solution to any given problem. Case studies feature current topics highly relevant to data mining, such web page traffic; the segmentation of customers; selection of customers for direct mail commercial campaigns; fraud detection; and measurements of customer satisfaction. Appropriate for both advanced undergraduate and graduate students, this much-needed book will fill a gap between higher level books, which emphasize technical explanations, and lower level books, which assume no prior knowledge and do not explain the methodology behind the statistical operations.
Book Synopsis Graphical Exploratory Data Analysis by : S. H. C. Du Toit
Download or read book Graphical Exploratory Data Analysis written by S. H. C. Du Toit and published by . This book was released on 1986 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt:
