video data analysis anne nassauer nicolas legewie

Nominated for the Ludwik Fleck Prize - awarded annually to an exemplary book in Science and Technology Studies that contributes to the global STS community Nominated for the Robert K. Merton Book Award - this is awarded annually in recognition of an outstanding book on science, knowledge, and/or technology.  Video data is transforming the possibilities of social science research. Whether through mobile phone footage, body-worn cameras or public video surveillance, we have access to an ever-expanding pool of data on real-life situations and interactions. This book provides a flexible framework for working with video data and understanding what it says about social life. With examples from a range of real video research projects, the book showcases step-by-step how to analyse any kind of data, including both found and generated videos. It also includes a non-technical discussion of computer vision and its opportunities for social science research. With this book you will be able to: ·      Complete each step of the research process fully and efficiently, from data collection to management, analysis, and interpretation ·      Use video data in an ethical and effective way to maximise its impact ·  ... Unknown localization key: "more"

Objev podobné jako Video Data Analysis - Anne Nassauer, Nicolas Legewie

An Absolute Beginner''s Guide to Learning Data Analysis Using Python, a Demanding Skill for TodayKey FeaturesHands-on learning experience of Python''s fundamentals.Covers various examples of how to code end-to-end data analysis with easy illustrations.An excellent starting point to begin your data analysis journey with Python programming.DescriptionIn an effort to provide content for beginners, the book Data Analysis with Python provides a concrete first step in learning data analysis. Written by a data professional with decades of experience, this book provides a solid foundation in data analysis and numerous data science processes. In doing so, readers become familiar with common Python libraries and straightforward scripting techniques.Python and many of its well-known data analysis libraries, such as Pandas, NumPy, and Matplotlib, are utilized throughout this book to carry out various operations typical of data analysis projects.Following an introduction to Python programming fundamentals, the book combines well-known numerical calculation and statistical libraries to demonstrate the fundamentals of programming, accompanied by many practical examples. This book provides a solid groundwork for data analysis by teaching Python programming as well as Python''s built-in data analysis capabilities.What you will learnLearn the fundamentals of core Python programming for data analysis.Master Python''s most demanding data analysis and visualization libraries, ... Unknown localization key: "more"

Objev podobné jako Data Analysis with Python - Rituraj Dixit

In the age of big data, being able to make sense of data is an important key to success. Interactive Visual Data Analysis advocates the synthesis of visualization, interaction, and automatic computation to facilitate insight generation and knowledge crystallization from large and complex data.The book provides a systematic and comprehensive overview of visual, interactive, and analytical methods. It introduces criteria for designing interactive visual data analysis solutions, discusses factors influencing the design, and examines the involved processes. The reader is made familiar with the basics of visual encoding and gets to know numerous visualization techniques for multivariate data, temporal data, geo-spatial data, and graph data. A dedicated chapter introduces general concepts for interacting with visualizations and illustrates how modern interaction technology can facilitate the visual data analysis in many ways. Addressing today’s large and complex data, the book covers relevant automatic analytical computations to support the visual data analysis. The book also sheds light on advanced concepts for visualization in multi-display environments, user guidance during the data analysis, and progressive visual data analysis.The authors present a top-down perspective on interactive visual data analysis with a focus on concise and clean terminology. Many real-world examples and rich illustrations make the book ... Unknown localization key: "more"

Objev podobné jako Interactive Visual Data Analysis - Christian Tominski, Heidrun Schumann

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A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data. Adding to the value in the new edition is: • Illustrations of the use of R software to perform all the analyses in the book • A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis • New sections in many chapters introducing the Bayesian approach for the methods of that chapter • More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets • An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises Written in an applied, nontechnical style, this book illustrates the ... Unknown localization key: "more"

Objev podobné jako An Introduction to Categorical Data Analysis - Alan Agresti

For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. The eighth edition of Multivariate Data Analysis provides an updated perspective on the analysis of all types of data as well as introducing some new perspectives and techniques that are foundational in today’s world of analytics. Multivariate Data Analysis serves as the perfect companion for graduate and postgraduate students undertaking statistical analysis for business degrees, providing an application-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques.

Objev podobné jako Multivariate Data Analysis - Barry Babin, Joseph Hair, William ) Black, Rolph Anderson

The R language is widely used by statisticians for data analysis, and the popularity of R programming has therefore increased substantially in recent years. The emerging Internet of Things (IoT) gathers increasing amounts of data that can be analyzed to gain useful insights into trends.R for Data Analysis in easy steps, 2nd edition has an easy-to-follow style that will appeal to anyone who wants to produce graphic visualizations to gain insights from gathered data. The book begins by explaining core programming principles of the R programming language, which stores data in “vectors” from which simple graphs can be plotted. Next, it describes how to create “matrices” to store and manipulate data from which graphs can be plotted to provide better insights. This book then demonstrates how to create “data frames” from imported data sets, and how to employ the “Grammar of Graphics” to produce advanced visualizations that can best illustrate useful insights from your data.R for Data Analysis in easy steps, 2nd edition contains separate chapters on the major features of the R programming language. There are complete example programs that demonstrate how to create Line graphs, Bar charts, Histograms, Scatter graphs, Box plots, and more. The code for each ... Unknown localization key: "more"

Objev podobné jako R for Data Analysis in easy steps - Mike McGrath

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.Use the Jupyter notebook and IPython shell for exploratory computingLearn basic and advanced features in NumPyGet started with data analysis tools in the pandas libraryUse flexible tools to load, clean, transform, merge, and reshape dataCreate informative visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsAnalyze and manipulate regular and irregular time series dataLearn how to solve real-world data analysis problems with thorough, detailed examples

Objev podobné jako Python for Data Analysis 3e - Wes McKinney

"This comprehensive, practical, user-friendly book provides a wealth of data analysis strategies that are essential for any qualitative research. It is a must-have tool book for moving from data analysis to writing for publication!"   –Guofang Li, University of British Columbia, Canada  Miles, Huberman, and Saldaña’s Qualitative Data Analysis: A Methods Sourcebook is the authoritative text for analyzing and displaying qualitative research data. The Fourth Edition maintains the analytic rigor of previous editions while showcasing a variety of new visual display models for qualitative inquiry. Graphics are added to the now-classic matrix and network illustrations of the original co-authors. Five chapters have been substantially revised, and the appendix’s annotated bibliography includes new titles in research methods. Graduate students and established scholars from all disciplines will find this resource an innovative compendium of ideas for the representation and presentation of qualitative data. As the authors demonstrate, when researchers "think display," their analyses of social life capture the complex and vivid processes of the people and institutions studied.

Objev podobné jako Qualitative Data Analysis - International Student Edition - Johnny Saldana, A. Michael Huberman, Matthew B. Miles

Many professional, high-quality surveys collect data on people′s behaviour, experiences, lifestyles and attitudes. The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects. Here you will find all you need to know about locating, accessing, preparing and analysing secondary data, along with step-by-step instructions for using IBM SPSS Statistics. You will learn how to: Create a robust research question and design that suits secondary analysis Locate, access and explore data online Understand data documentation Check and ′clean′ secondary data Manage and analyse your data to produce meaningful results Replicate analyses of data in published articles and books Using case studies and video animations to illustrate each step of your research, this book provides you with the quantitative analysis skills you′ll need to pass your course, complete your research project and compete in the job market. Exercises throughout the book and on the book′s companion website give you an opportunity to practice, check your understanding and work hands on with real data as you′re learning.

Objev podobné jako An Introduction to Secondary Data Analysis with IBM SPSS Statistics - John MacInnes

Balancing theoretical foundations with practical strategies, this book helps you develop an approach to your qualitative analysis that is both systematic and insightful. It demonstrates the importance of tying analysis into every aspect of research, from design, through data collection and management, to writing up, and provides step-by-step guidance on how to embed analysis from start to finish. Grounded in the reality of doing research, this second edition:  • Presents visual and text-based methods for analysis, using manual and digital tools  • Inspires confidence as you code, connect and interrogate observational, text and visual data  • Showcases best practice and helps you navigate real-life dilemmas using case studies of research from across the social sciences. Together with rich online resources including videos, datasets and journal articles, this is an important new edition for all students undertaking qualitative research, with a focus on analysis and design.

Objev podobné jako Qualitative Data Analysis - Pat Bazeley

This book showcases the different ways in which contemporary forms of data analysis are being used in urban planning and management. It highlights the emerging possibilities that city-regional governance, technology and data have for better planning and urban management - and discusses how you can apply them to your research. Including perspectives from across the globe, it’s packed with examples of good practice and helps to demystify the process of using big and open data. Learn about different kinds of emergent data sources and how they are processed, visualised and presented. Understand how spatial analysis and GIS are used in city planning. See examples of how contemporary data analytics methods are being applied in a variety of contexts, such as ‘smart’ city management and megacities. Aimed at upper undergraduate and postgraduate students studying spatial analysis and planning, this timely text is the perfect companion to enable you to apply data analytics approaches in your research.

Objev podobné jako Applied Data Analysis for Urban Planning and Management

From two experts in the field comes an accessible, how-to guide that will help researchers think more productively about the relation between theory and data at every stage of their work. In Data Analysis in Qualitative Research, Iddo Tavory and Stefan Timmermans provide a how-to guide filled with tricks of the trade for researchers who hope to take excellent qualitative data and transform it into powerful scholarship. In their previous book, Abductive Analysis: Theorizing Qualitative Research, Timmermans and Tavory offered a toolkit for innovative theorizing in the social sciences. In this companion, they go one step further to show how to uncover the surprising revelations that lie waiting in qualitative data—in sociology and beyond.  In this book, they lay out a series of tools designed to help both novice and expert scholars see and understand their data in surprising ways. Timmermans and Tavory show researchers how to “stack the deck” of qualitative research in favor of locating surprising findings that may lead to theoretical breakthroughs, whether by engaging with theory, discussing research strategies, or walking the reader through the process of coding data. From beginning to end of a research project, Data Analysis in Qualitative Research helps social scientists ... Unknown localization key: "more"

Objev podobné jako Data Analysis in Qualitative Research - Iddo Tavory, Stefan Timmermans

Master business modeling and analysis techniques with Microsoft Excel and transform data into bottom-line results. Award-winning educator Wayne Winston''s hands-on, scenario-focused guide helps you use today''s Excel to ask the right questions and get accurate, actionable answers. More extensively updated than any previous edition, new coverage ranges from one-click data analysis to STOCKHISTORY, dynamic arrays to Power Query, and includes six new chapters. Practice with over 900 problems, many based on real challenges faced by working analysts. Solve real problems with Microsoft Excel—and build your competitive advantage Quickly transition from Excel basics to sophisticated analytics Use recent Power Query enhancements to connect, combine, and transform data sources more effectively Use the LAMBDA and LAMBDA helper functions to create Custom Functions without VBA Use New Data Types to import data including stock prices, weather, information on geographic areas, universities, movies, and music Build more sophisticated and compelling charts Use the new XLOOKUP function to revolutionize your lookup formulas Master new Dynamic Array formulas that allow you to sort and filter data with formulas and find all UNIQUE entries Illuminate insights from geographic and temporal data with 3D Maps Improve decision-making with probability, Bayes'' theorem, and Monte Carlo simulation and scenarios Use ... Unknown localization key: "more"

Objev podobné jako Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365) - Wayne Winston

The Second Edition of An Introduction to Statistics and Data Analysis Using Stata®: From Research Design to Final Report provides an integrated approach to methods, statistics, data analysis, and interpretation of results. The book features examples from social science research and news articles along with concise descriptions of statistics, allowing readers to understand the context of data analysis while also learning to communicate the results.

Objev podobné jako An Introduction to Statistics and Data Analysis Using Stata® - Lisa Daniels, Nicholas W. Minot

This Open Access textbook provides students and researchers in the life sciences with essential practical information on how to quantitatively analyze data images. It refrains from focusing on theory, and instead uses practical examples and step-by step protocols to familiarize readers with the most commonly used image processing and analysis platforms such as ImageJ, MatLab and Python. Besides gaining knowhow on algorithm usage, readers will learn how to create an analysis pipeline by scripting language; these skills are important in order to document reproducible image analysis workflows.The textbook is chiefly intended for advanced undergraduates in the life sciences and biomedicine without a theoretical background in data analysis, as well as for postdocs, staff scientists and faculty members who need to perform regular quantitative analyses of microscopy images.

Objev podobné jako Bioimage Data Analysis Workflows

We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial – it is collected some-where – and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges.Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics. This is a ‘learning by doing’ textbook, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.

Objev podobné jako Geographical Data Science and Spatial Data Analysis - Chris Brunsdon, Lex Comber

Using statistics to analyse research data can be tricky when you are getting started. This book shows you how to effectively conduct statistical analysis in both R and SPSS without getting overwhelmed by complex theories and formulas.It is a practical manual that uses worked examples to help you get to grips with running statistical tests using commonly used software. Straightforward and clear, it assumes no prior knowledge and calmly takes you from reading the first page to completing your own analysis.It also: Covers all the statistics you need to know to pass your exam and do well at coursework Presents varied, adaptable solutions to common problems. Embeds road-tested best practice into every stage of your analysis. Provides you with programming skills that boost your employability.  Gives any essential theory in a simple, easy to follow, manner Helps to bridge the gap between using SPSS and R (or vice versa)If you want to strengthen your grasp of statistics, overcome statistics anxiety or just pass your course - this is the guide for you.Â

Objev podobné jako A Practical Guide to Data Analysis - Andrew Jones, Christiansen

Peck and Olsen’s INTRODUCTION TO STATISTICS AND DATA ANALYSIS, 7th Edition helps you develop the ability to think statistically through its focus on conceptual understanding, use of real data and interpretation and communication of statistical information. Graphical displays of complex data sets are now common both online and in print media, and it is important to be able to interpret these types of displays. The 7th edition contains a new section on graphical displays of multivariable data, with a focus on extracting information and learning from them. WebAssign for Statistics accompanies this text. Designed by educators, WebAssign helps you learn not just do homework. WebAssign grants access to the ebook, assessments and analytics to enable you to be a self-sufficient learner and help you succeed in your course.

Objev podobné jako Introduction to Statistics and Data Analysis - Christina Olséni, Roxy Peck

With numerous approaches to choose from, knowing where to start when doing qualitative data analysis (QDA) can be a challenge. This book gives you direction with an accessible and thorough introduction to nine different approaches to QDA, written by a multi-disciplinary team with years of experience teaching and analysing data using these methods.  With a clear focus on the ‘how to’ of QDA, each chapter includes:  •Step-by-step descriptions of how to apply each approach in your research •Online and in-text activities to help you practice your skills •Annotated reading lists so you can dig deeper into key topics •Case studies from a range of disciplines so you can see how each approach works in practice. The perfect companion on your journey through QDA, the book also offers a comprehensive introduction to the use of NVivo QDA software, helping both new and experienced researchers get to grips with the essentials. Â

Objev podobné jako Qualitative Data Analysis

NOISE AND VIBRATION ANALYSIS Complete guide to signal processing and modal analysis theory, with coverage of practical applications and a plethora of learning tools Featuring numerous line diagrams and illustrations, the newly revised and updated Second Edition of Noise and Vibration Analysis is a comprehensive and practical guide that combines both signal processing and modal analysis theory with their practical application in noise and vibration analysis. This new edition has been updated with three new chapters covering experimental modal analysis, operational modal analysis, and practical vibration measurements. Taking a practical learning approach, the text includes exercises that allow the content to be developed in an academic course framework or as supplementary material for private and further study, including multiple choice questions at the end of each chapter. An accompanying website hosts a MATLAB® toolbox, additional problems and examples, and videos. Written by a highly qualified author with significant experience in the field, Noise and Vibration Analysis covers topics such as: Dynamic signals and systems, covering periodic, random, and transient signals, RMS value and power, and the Continuous Fourier TransformTime data analysis, covering the sampling theorem, analog, digital, smoothing, and acoustic octave filters, time data differentiation, and FFT-based processingStatistics and random ... Unknown localization key: "more"

Objev podobné jako Noise and Vibration Analysis - Anders Brandt

"Bruce Pease has written a much needed book on a long ignored topic: how does one lead analysts? Most analysis is at some level a group activity, whether in government or the private sector. Much has been written about good versus bad analysis and how to train analysts, but Pease, himself a veteran senior CIA analyst and manager, focuses on what the leaders of these analysts need to know and should be thinking about. Leadership matters in analysis as in all other endeavors, and Pease offers invaluable guidance on how to lead effectively. This book is a must for anyone in a leadership role in an analytic enterprise." —Mark M. Lowenthal, PhD, Intelligence & Security Academy, LLC Written by an experienced professional who has led Navy Intelligence and CIA analysts in high-stakes situations, Leading Intelligence Analysis introduces the fundamental managerial skills and practical tools needed to lead analysis projects conducted by individuals and teams. Author Bruce Pease provides insights into key questions such as What kind of environment draws out a team’s best work? What brings out their creativity? When does pressure bring out their best insights? When does pressure sap their intellectual energy? and What kind of team builds ... Unknown localization key: "more"

Objev podobné jako Leading Intelligence Analysis - Bruce E. Pease

Expanding Approaches to Thematic Analysis: Creative Engagements with Qualitative Data springboards readers into a world where generating themes from qualitative data is a creative, experimental, and wondrous process!While no one ever said it had to be, thematic analysis is invariably described as a step-by-step process that involves coding. Yet qualitative data analysis is more than a technical procedure—it invokes imagination and inspiration—intuitional engagements that are as vital to the data analysis process as they are difficult to describe. This edited book begins with two premises: (1) there is more than one way to theme data, and (2) qualitative researchers do not have to code to get to themes. Each chapter introduces readers to a different approach to thematic analysis, explores that approach’s theoretical and disciplinary roots, and illustrates how that approach can be used to generate themes. Approaches include annotating, memoing, storying, writing, composing poems, artmaking, meditating, and more, expanding conceptualizations of what themes and thematic analysis can be. The book also includes ‘methodologies in action’: helpful examples of creative theming from doctoral students and early career scholars.This book is as much a provocation for engaging thematic analysis beyond/without/in addition to coding as it is a resource for anyone interested ... Unknown localization key: "more"

Objev podobné jako Expanding Approaches to Thematic Analysis

The correct design, analysis and interpretation of plant science experiments is imperative for continued improvements in agricultural production worldwide. The enormous number of design and analysis options available for correctly implementing, analysing and interpreting research can be overwhelming. SAS® is the most widely used statistical software in the world and SAS® OnDemand for Academics is now freely available for academic institutions.This is a user-friendly guide to statistics using SAS® OnDemand for Academics, ideal for facilitating the design and analysis of plant science experiments. It presents the most frequently used statistical methods in an easy-to-follow and non-intimidating fashion, and teaches the appropriate use of SAS® within the context of plant science research. This book:- Covers experimental designs and data analysis protocols- Is presented as a how-to guide with many examples- Includes freely downloadable data sets- Examines key topics such as merging data frames, multivariate analysis and linear regressionAuthored by an experienced teacher of applied plant science statistics, this book assumes no prior background in statistics and guides users through the appropriate methodologies in research. It is an invaluable tool for advanced undergraduate and graduate students, in addition to researchers, extension consultants, faculty and technicians.

Objev podobné jako Applied Plant Science Experimental Design and Statistical Analysis Using SAS® OnDemand for Academics - Associate Professor Edward Durner

Charles Krebs'' best-selling majors-level text approaches ecology as a series of problems that are best understood by evaluating empirical evidence through data analysis and application of quantitative reasoning. No other text presents analytical, quantitative, and statistical ecological information in an equally accessible style for students. Reflecting the way ecologists actually practice, the new edition emphasises the role of experiments in testing ecological ideas and discusses many contemporary and controversial problems related to distribution and abundance. Ecology: The Experimental Analysis of Distribution and Abundance, 6th Edition builds on a clear writing style, historical perspective, and emphasis on data analysis with an updated, reorganised discussion of key topics and two new chapters on climate change and animal behavior. Key concepts and key terms are now included at the beginning of each chapter to help students focus on what is most important within each chapter, mathematical analyses are broken down step by step in a new feature called “Working with the Data,” concepts are reinforced throughout the text with examples from the literature, and end-of-chapter questions and problems emphasise application.

Objev podobné jako Ecology: The Experimental Analysis of Distribution and Abundance - Charles Krebs

This book provides a narrative of how R can be useful in the analysis of public administration, public policy, and political science data specifically, in addition to the social sciences more broadly. It can serve as a textbook and reference manual for students and independent researchers who wish to use R for the first time or broaden their skill set with the program. While the book uses data drawn from political science, public administration, and policy analyses, it is written so that students and researchers in other fields should find it accessible and useful as well. By the end of the first seven chapters, an entry-level user should be well acquainted with how to use R as a traditional econometric software program. The remaining four chapters will begin to introduce the user to advanced techniques that R offers but many other programs do not make available such as how to use contributed libraries or write programs in R. The book details how to perform nearly every task routinely associated with statistical modeling: descriptive statistics, basic inferences, estimating common models, and conducting regression diagnostics. For the intermediate or advanced reader, the book aims to open up the wide array of sophisticated ... Unknown localization key: "more"

Objev podobné jako Political Analysis Using R - James E. Monogan III

While regression analysis is widely understood, it falls short in determining the causal direction of relationships in observational data. In this groundbreaking volume, Wiedermann and von Eye introduce Direction Dependence Analysis (DDA), a novel method that leverages variable information often overlooked by traditional techniques, such as higher-order moments like skewness and kurtosis. DDA reveals the asymmetry properties of regression and correlation, enabling researchers to evaluate competing causal hypotheses, assess the roles of variables in causal flows, and develop statistical methods for testing causal direction. This book provides a comprehensive formal description of DDA, illustrated with both artificial and real-world data examples. Additionally, readers will find free software implementations of DDA, making this an essential resource for researchers seeking to enhance their understanding of causal relationships in data analysis.

Objev podobné jako Direction Dependence Analysis - Alexander von Eye, Wolfgang Wiedermann

This book provides a comprehensive discussion of market research and analysis, covering key concepts, process descriptions, qualitative and quantitative techniques for market research and data analysis, and application scenarios. Although it is not an academic textbook, it is geared toward business management professionals and graduate students who want to enhance their skills in addressing management decision problems (MDP) and test them for statistical significance. Readers will appreciate the breadth and depth of this subject, market research techniques, and how they are relevant to the business enterprise, whether it is a startup entrepreneurship or an established business organization. This book guides readers on how to conduct market research and solve business challenges. The structure of the book is based on the six steps of the market research process: problem definition, development of an approach to the problem, research design formulation, fieldwork and data collection, data preparation, qualitative and quantitative analysis, statistical test of significance of results, report preparation, and presentation.

Objev podobné jako Market Research and Analysis - MARCUS GONCALVES

Metal Earth 3D puzzle představuje detailní model plachetnice Queen Anne's Revenge z ocelových plátků. Sada obsahuje 50 dílků, které se skládají bez lepidla podle přiloženého návodu. Puzzle je určeno pro stavitele od 14 let a nabízí náročnou zábavu s historickou tematikou.

• Vyrobeno z kvalitní oceli pro trvanlivost
• Skládání bez potřeby lepidla nebo nůžek
• Detailní model ikonické pirátské lodi
• Vhodné pro náročné stavitele od 14 let

Objev podobné jako Metal Earth 3D puzzle Plachetnice Queen Anne´s Revenge (ICONX) (32309013092)

Grounded in examples from across the social sciences, this book walks you through the process of doing quantitative text analysis step by step. Clear and accessible, it empowers you to progress from beginner level to understanding and using computational social science concepts with ease. Covering key steps in the research process like ethics, data collection, and model choice, it helps you develop important research skills – and equips you with the programming tools you need to handle text data without error.The textbook offers R software guidance at an easy-to-follow pace, the book presents the coding skills you need to collect and prepare data, providing a strong foundation as you move into data analysis. It will:·    Help you develop key data skills like cleaning, managing, classifying and visualizing data·    Encourage your ability to be critical and reflective when dealing with data·    Offer clear guidance on using messy, real-world data and big data from sources like WikipediaSupported by practical online resources including extensive coding examples and software guidance, this book will give you confidence in applying your programming skills and enable you to take control of handling textual data in your own research.Â

Objev podobné jako Quantitative Text Analysis Using R - Anna Wohlmann, Julian Bernauer

Lauben Sous Vide Stick SV01 je přenosný vařič pro přípravu pokrmů metodou sous vide přímo v hrnci. Umožňuje přesné nastavení teploty od 20 °C do 95 °C a zajišťuje, že jídlo si zachová aroma, barvu a tvar. Součástí balení je kruhový držák, dva zip lock sáčky a textilní obal.

• Přesné vaření metodou sous vide pro dokonalé výsledky jako v restauraci
• Intuitivní ovládání s displejem a jednoduchým videonávodem přes QR kód
• Kompaktní a voděodolný design (IPX7) vhodný do každé kuchyně
• Kompletní balení včetně držáku, sáčků a obalu pro okamžité použití

Objev podobné jako Lauben Sous Vide Stick SV01

An incendiary examination of burnout - what got us here, the pressures that sustain it and the need for drastic changeAre you tired, stressed and trying your best but somehow it's never enough?Does your job seep into your evenings and your home life creep into your work?Does the bottom half of your To Do list feel unreachable?This is burnout and it is affecting how we work, parent, socialise and live.Through her own experience, original interviews and detailed analysis, Anne Helen Petersen traces the institutional and generational causes of burnout. And, in doing so, she helps us to let go of our guilt and imagine a possible future.'Genuinely enlightening... Can't Even is a reminder to the burned out generation that things can be different' Observer

Objev podobné jako Can't Even - Anne Helen Petersen

Růžový dětský digitální fotoaparát Wiky s rozlišením 48 Mpx a nahráváním Full HD videa. Disponuje 2" TFT LCD displejem, 4x digitálním zoomem a různými scénami. Fotoaparát je odolný díky silikonovému krytu a je vhodný pro děti od 3 let.

• Odolný silikonový kryt vhodný pro děti
• Vysoké rozlišení fotografií 48 Mpx a Full HD videa
• Jednoduché ovládání vhodné pro začátečníky
• Kompletní balení včetně popruhu a nabíjecího kabelu

Objev podobné jako Wiky Dětský digitální fotoaparát růžový - foto 48Mpx, video Full HD

Modrý dětský digitální fotoaparát Wiky s rozlišením 48 Mpx a nahráváním Full HD videa. Odolný silikonový design je vhodný pro děti od 3 let, nabízí 4x digitální zoom a různé fotografické scény. Fotoaparát neobsahuje vestavěnou paměť a vyžaduje MicroSD kartu (až 32 GB).

• Odolný silikonový kryt vhodný pro děti
• Vysoké rozlišení fotografií 48 Mpx a Full HD videa
• Jednoduché ovládání vhodné pro začátečníky
• Kompletní balení včetně popruhu a nabíjecího kabelu

Objev podobné jako Wiky Dětský digitální fotoaparát modrý - foto 48 Mpx, video Full HD

Sous vide tyčový vařič BerlingerHaus Black Rose umožňuje přesnou přípravu jídel v rozmezí 25–95 °C. Má výkon 1200 W, cirkulaci vody 8 l/min a vodotěsnost IPX7. Přístroj je vybaven LED displejem s časovačem a je vhodný pro nádoby 6–15 litrů.

• Přesné nastavení teploty 25–95 °C pro profesionální výsledky
• Výkon 1200 W a rychlá cirkulace vody 8 l/min
• LED displej s časovačem až na 99 hodin 59 minut
• Vodotěsná konstrukce IPX7 a tichý chod

Objev podobné jako BerlingerHaus Sous vide tyčový vařič Black Rose

Růžový dětský digitální fotoaparát s integrovanou tiskárnou nabízí rozlišení 12 Mpx pro fotografie a Full HD pro video. Zařízení obsahuje 2,4palcový displej, selfie kameru, časovač, digitální zoom, různé efekty, hry a MP3 přehrávač. Fotoaparát je vhodný pro děti od 3 let a v balení jsou dvě role fotopapíru.

• Okamžitý tisk fotografií na vestavěné tiskárně
• Snadné ovládání jedním tlačítkem pro focení a natáčení
• Bohatá výbava funkcí: selfie kamera, časovač, efekty, hry, MP3 přehrávač
• Dlouhá výdrž baterie (až 240 minut provozu)

Objev podobné jako Wiky Dětský digitální fotoaparát s tiskárnou růžový - foto 12Mpx, video Full HD

Motorola PIP 1200 je bezdrátová dětská video chůvička s displejem 2,8 palce. Nabízí noční vidění, monitorování teploty a dvousměrnou komunikaci. Dosah za ideálních podmínek je až 300 metrů.

• Infračervené noční vidění pro sledování za tmy
• Dvousměrná komunikace a vestavěné ukolébavky
• Monitorování teploty místnosti s volbou jednotek
• Bezdrátový dosah až 300 metrů na volném prostranství

Objev podobné jako PIP 1200 Dětská video chůvička MOTOROLA

How to build and maintain strong data organizations—the Dummies way Data Governance For Dummies offers an accessible first step for decision makers into understanding how data governance works and how to apply it to an organization in a way that improves results and doesn't disrupt. Prep your organization to handle the data explosion (if you know, you know) and learn how to manage this valuable asset. Take full control of your organization’s data with all the info and how-tos you need. This book walks you through making accurate data readily available and maintaining it in a secure environment. It serves as your step-by-step guide to extracting every ounce of value from your data. Identify the impact and value of data in your businessDesign governance programs that fit your organizationDiscover and adopt tools that measure performance and needAddress data needs and build a more data-centric business cultureThis is the perfect handbook for professionals in the world of data analysis and business intelligence, plus the people who interact with data on a daily basis. And, as always, Dummies explains things in terms anyone can understand, making it easy to learn everything you need to know.

Objev podobné jako Data Governance For Dummies - Jonathan Reichental

“This text should be required reading for everyone in contemporary business.” --Peter Woodhull, CEO, Modus21 “The one book that clearly describes and links Big Data concepts to business utility.” --Dr. Christopher Starr, PhD “Simply, this is the best Big Data book on the market!” --Sam Rostam, Cascadian IT Group “...one of the most contemporary approaches I’ve seen to Big Data fundamentals...” --Joshua M. Davis, PhD The Definitive Plain-English Guide to Big Data for Business and Technology Professionals Big Data Fundamentals provides a pragmatic, no-nonsense introduction to Big Data. Best-selling IT author Thomas Erl and his team clearly explain key Big Data concepts, theory and terminology, as well as fundamental technologies and techniques. All coverage is supported with case study examples and numerous simple diagrams. The authors begin by explaining how Big Data can propel an organization forward by solving a spectrum of previously intractable business problems. Next, they demystify key analysis techniques and technologies and show how a Big Data solution environment can be built and integrated to offer competitive advantages. Discovering Big Data’s fundamental concepts and what makes it different from previous forms of data analysis and data science Understanding the business motivations and drivers behind Big Data adoption, ... Unknown localization key: "more"

Objev podobné jako Big Data Fundamentals - Thomas Erl, Paul Buhler, Wajid Khattak

Let Python do the heavy lifting for you as you analyze large datasets Python for Data Science For Dummies lets you get your hands dirty with data using one of the top programming languages. This beginner’s guide takes you step by step through getting started, performing data analysis, understanding datasets and example code, working with Google Colab, sampling data, and beyond. Coding your data analysis tasks will make your life easier, make you more in-demand as an employee, and open the door to valuable knowledge and insights. This new edition is updated for the latest version of Python and includes current, relevant data examples. Get a firm background in the basics of Python coding for data analysisLearn about data science careers you can pursue with Python coding skillsIntegrate data analysis with multimedia and graphics Manage and organize data with cloud-based relational databasesPython careers are on the rise. Grab this user-friendly Dummies guide and gain the programming skills you need to become a data pro.

Objev podobné jako Python for Data Science For Dummies - John Paul Mueller, Luca Massaron

Great data presentations tell a story. Learn how to organize, visualize, and present data using Python, generative AI, and the cutting-edge Altair data analysis toolkit.After you''ve crunched, sliced, and organized your data behind the scenes, you need to present it in a way that tells a story. With Python''s Altair library and generative AI tools like Copilot and ChatGPT, it''s never been easier to create intuitive data presentations.In Data Storytelling with Generative AI you''ll discover: Using Python Altair for data visualization Using Generative AI tools for data storytelling The main concepts of data storytelling Building data stories with the DIKW pyramid approach Transforming raw data into a data story Data Storytelling with Generative AI teaches you how to turn raw data into effective, insightful data stories. You''ll learn exactly what goes into an effective data story, then combine your Python data skills with the Altair library and AI tools to rapidly create amazing visualizations. Your bosses and decision-makers will love your new presentations—and you''ll love how quick Generative AI makes the whole process!

Objev podobné jako Data Storytelling with Generative AI - Angelica Duca

A guide to the principles and methods of data analysis that does not require knowledge of statistics or programming A General Introduction to Data Analytics is an essential guide to understand and use data analytics. This book is written using easy-to-understand terms and does not require familiarity with statistics or programming. The authors—noted experts in the field—highlight an explanation of the intuition behind the basic data analytics techniques. The text also contains exercises and illustrative examples. Thought to be easily accessible to non-experts, the book provides motivation to the necessity of analyzing data. It explains how to visualize and summarize data, and how to find natural groups and frequent patterns in a dataset. The book also explores predictive tasks, be them classification or regression. Finally, the book discusses popular data analytic applications, like mining the web, information retrieval, social network analysis, working with text, and recommender systems. The learning resources offer: A guide to the reasoning behind data mining techniquesA unique illustrative example that extends throughout all the chaptersExercises at the end of each chapter and larger projects at the end of each of the text’s two main parts Together with these learning resources, the book can be used in ... Unknown localization key: "more"

Objev podobné jako A General Introduction to Data Analytics - Tomáš Horváth, Andre Carvalho, Joao Moreira

Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline business’s customer survey dataset to illustrate how to turn data in business decisions, in addition to numerous examples throughout. To aid in usability beyond the classroom, the text features full integration of freely-available R and RStudio software, one of the most popular data science tools available. Designed for students with little to no experience in related areas like computer science, the book chapters follow a logical order from introduction and installation of R and RStudio, working with data architecture, undertaking data collection, performing data analysis, and transitioning to data archiving and presentation. Each chapter follows a familiar structure, starting with learning objectives and background, following the basic steps of functions alongside simple examples, applying these functions to the case study, and ending with chapter challenge questions, sources, and a list of R functions so students know what to expect in each step of their data science course. Data Science for Business with ... Unknown localization key: "more"

Objev podobné jako Data Science for Business With R - Jeffrey Morgan Stanton, Jeffrey S. Saltz

Graphs are the natural way to understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with practical examples and concrete advice on implementation and deployment. In Graph Algorithms for Data Science you will learn: Labeled-property graph modeling Constructing a graph from structured data such as CSV or SQL NLP techniques to construct a graph from unstructured data Cypher query language syntax to manipulate data and extract insights Social network analysis algorithms like PageRank and community detection How to translate graph structure to a ML model input with node embedding models Using graph features in node classification and link prediction workflows Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. It''s filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs. You''ll gain practical skills by analyzing Twitter, building graphs with NLP techniques, and much more. You don''t need any graph experience to start benefiting from this insightful guide. These powerful graph algorithms are explained in clear, jargon-free text and illustrations that makes them easy to apply to your own projects. about the technology Graphs reveal ... Unknown localization key: "more"

Objev podobné jako Graph Algorithms for Data Science - Bratanic Tomaz

Transform your data analysis experience with Power Query, the ultimate tool for importing, reshaping, and cleansing data through a user-friendly interface. Whether you’re using Power BI, Excel, or other Microsoft products, Power Query’s capabilities are at your fingertips. Renowned Power Query experts Daniil Maslyuk and Gil Raviv guide you through mastering this indispensable tool, helping you eliminate tedious manual data preparation, tackle common issues, and avoid potential pitfalls. In this updated edition, you’ll delve into comprehensive analytics challenges, seamlessly integrating your skills into a realistic, final project. By the end, you’ll possess the expertise to handle any data and convert it into actionable insights. You will learn how to: Effortlessly prepare data by utilizing Power Query in Power BI and Excel to transform your data quickly and efficiently Overcome common data preparation problems with intuitive mouse clicks and straightforward formula edits Combine data from various sources, multiple queries, and mismatched tables with ease Reshape tables to suit your analysis needs Use the Power Query M formula language to create flexible data mashups and tailor transformations to your requirements Address and overcome collaboration challenges by using Power Query’s powerful features Gain crucial insights from text feeds by enhancing your data analysis ... Unknown localization key: "more"

Objev podobné jako Collect, Combine, and Transform Data Using Power Query in Power BI and Excel - Daniil Maslyuk, Gil Raviv

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.With this book, you'll learn:Why exploratory data analysis is a key preliminary step in data scienceHow random sampling can reduce bias and yield a higher-quality dataset, even with big dataHow the principles of experimental design yield definitive answers to questionsHow to use regression to estimate outcomes and detect anomaliesKey classification techniques for predicting which categories a record belongs toStatistical machine learning methods that "learn" from dataUnsupervised learning methods for extracting meaning from unlabeled data

Objev podobné jako Practical Statistics for Data Scientists - Peter Bruce, Andrew Bruce, Peter Gedeck

Prepare for Microsoft Exam 70-778–and help demonstrate your real-world mastery of Power BI data analysis and visualization. Designed for experienced BI professionals and data analysts ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Consume and transform data by using Power BI Desktop Model and visualize data Configure dashboards, reports, and apps in the Power BI Service This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have experience consuming and transforming data, modeling and visualizing data, and configuring dashboards using Excel and Power BI

Objev podobné jako Exam Ref 70-778 Analyzing and Visualizing Data by Using Microsoft Power BI - Daniil Maslyuk

GMAT Official Guide Data Insights Review 2025-2026: Includes Book + Online Question Bank + Digital Flashcards + Mobile App The GMAT Official Guide Data Insights Review provides focused practice to master the data insights section of the exam with over 275 practice questions that are not included in the main Official Guide 2024-2025. Designed by the makers of the GMAT exam, the GMAT Official Guide series is the only study guide that features real exam questions. Use this guide to: Master the data insights section of the examFamiliarize yourself with data analysis concepts through the updated review chapterGrow your confidence with the data insights questionsReview detailed explanations to understand correct and incorrect answersPractice with two-part analysis questionsGet exclusive exam preparation tips from the creators of the GMAT and Test Prep Organizations  BONUS with your purchase! Focus your studying with the Online Question Bank. Tailor your practice by building practice sets targeting question type and difficultyDiscover your strengths and weaknesses with diagnostic quizzesTrack your focus areas and progress with key metricsReinforce concepts with engaging gamesChallenge yourself with timed practiceUse digital flashcards to master key concepts, also accessible on the mobile app The Online Question Bank is accessible through your mba.com ... Unknown localization key: "more"

Objev podobné jako GMAT Official Guide Data Insights Review 2025-2026 - GMAC

Get your data team working effectively! Data is a valuable resource for improving education. Unfortunately, many school teams struggle to make sense of new and often overwhelming data. What Does Your Data Team Sound Like? provides an approach that supports teams as they review a range of data sets, and improves their conversation about effectively applying data to instructional decision-making. Written to help teams navigate the world of data analysis for on-going school improvement, this book offers an easy to follow framework that dives deep into data-driven instruction. Readers will find: Easy, step-by-step analysis techniques  Case studies that demonstrate different approaches Checklists and flowcharts to help visual the process Developed by expert authors who have worked with data teams across a wide variety of settings and scenarios, this book will help educators take action to create better learning environments for students.Â

Objev podobné jako What Does Your School Data Team Sound Like? - Dean T. Spaulding, Gail M. Smith

In Analysing Quantitative Data, Charles A. Scherbaum and Kristen M. Shockley guide the reader through Understanding Quantitative Data Analysis, Basic Components of Quantitative Data Analysis, Conducting Quantitative Data Analysis, Examples of Quantitative Data Analysis and Conclusions. An appendix contains Excel Formulas. Ideal for Business and Management students reading for a Master’s degree, each book in the series may also serve as reference books for doctoral students and faculty members interested in the method. Part of SAGE’s Mastering Business Research Methods Series, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to support researchers by providing in-depth and practical guidance on using a chosen method of data collection or analysis.

Objev podobné jako Analysing Quantitative Data for Business and Management Students - Charles A Scherbaum, Kristen M. Shockley

This book closes the gap between what people think Excel can do and what they can achieve in the tool. Over the past few years, recognition of the importance of effectively visualizing data has led to an explosion of data analysis and visualization software tools. But for many people, Microsoft Excel continues to be the workhorse for their data visualization needs, not to mention the only tool that many data workers have access to. Although Excel is not a specialist data visualization platform, it does have strong capabilities. The default chart types do not need to be the limit of the toolÂ’s data visualization capabilities, and users can extend its features by understanding some key elements and strategies. Data Visualization in Excel provides a step-by-step guide to creating more advanced and often more effective data visualizations in Excel and is the perfect guide for anyone who wants to create better, more effective, and more engaging data visualizations.

Objev podobné jako Data Visualization in Excel - Jonathan Schwabish