Exploring Data
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Exploring Data An Introduction To Data Analysis For Social Scientists
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Author : Jane; Marsh Elliott (Catherine)
language : en
Publisher: Polity
Release Date : 2009
Exploring Data An Introduction To Data Analysis For Social Scientists written by Jane; Marsh Elliott (Catherine) and has been published by Polity this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
Exploring Data Science Concepts Techniques And Tools
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Author : Dr. A.P. Siva Kumar
language : en
Publisher: IIP Iterative International Publishers
Release Date : 2025-06-24
Exploring Data Science Concepts Techniques And Tools written by Dr. A.P. Siva Kumar and has been published by IIP Iterative International Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Computers categories.
Welcome to "Data Science with Python"! Whether you're a student, a professional looking to switch careers, or an enthusiast eager to explore the world of data science, this book is designed to take you on an exciting journey through one of the most rapidly growing fields in the world. Data science is the key to unlocking the potential of vast amounts of data in today's digital age. With Python emerging as the leading language for data analysis, machine learning, and visualization, this book leverages Python's rich ecosystem of libraries to provide a hands-on and practical approach to learning data science concepts. Throughout the chapters, you will gain a solid foundation in the essential techniques used in data science, including data manipulation, exploration, statistical analysis, machine learning, and data visualization. You’ll also find real-world examples, case studies, and step-by-step tutorials that will guide you in solving complex problems using Python. The book assumes no prior knowledge of data science or Python, making it suitable for beginners. As you progress, you will gradually move into more advanced topics, empowering you to build your own data-driven solutions with confidence. By the end of this book, you will not only have a deep understanding of the core principles of data science but also be equipped with practical skills to tackle real-world challenges using Python’s powerful data science tools. Whether you're analyzing business data, building machine learning models, or visualizing complex datasets, you'll find the skills you need to succeed. Data science is an ever-evolving field, and as you embark on this journey, remembers that learning is continuous. This book serves as a foundation for that journey, and the possibilities are endless as you dive deeper into data science with Python.
R For Data Science
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Author : Hadley Wickham
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-12-12
R For Data Science written by Hadley Wickham and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-12 with Computers categories.
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Exploring Data Analysis
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Author : W. J. Dixon
language : en
Publisher: Univ of California Press
Release Date : 2023-12-22
Exploring Data Analysis written by W. J. Dixon and has been published by Univ of California Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-22 with Computers categories.
Exploring Data Using R
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Author : Kamarul Imran Musa & Wan Nor Arifin Wan Mansor
language : en
Publisher: Penerbit USM
Release Date : 2021-10-27
Exploring Data Using R written by Kamarul Imran Musa & Wan Nor Arifin Wan Mansor and has been published by Penerbit USM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-27 with Education categories.
Exploring Data Using R introduces readers to R and RStudio to make data exploration fast, fluid and fun. This book is suitable for readers with no previous R programming experience. It aims to get the readers to analyse data as quickly as possible. Authors Kamarul Imran Musa and Wan Nor Arifin Wan Mansor guide through three main steps in data exploration: data management, descriptive statistics and visual exploration. Readers will get a quick understanding and easy-to-use guides, along with the basic tools needed to use R in the RStudio IDE for efficient data exploration. Readers will learn how to: Install R and RStudio ,Manage data – turn datasets into formats convenient for analysis ,Describe data – for one and two variables and cross-tabulation ,Explore the data visually – create plots using popular R packages, for example, ggplot and lattice
Exploring Data Graphs And Numerical Summaries
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Author : The Open University
language : en
Publisher: The Open University
Release Date : 2011-07-27
Exploring Data Graphs And Numerical Summaries written by The Open University and has been published by The Open University this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-27 with categories.
This 20-hour free course introduced a number of ways of representing data graphically and summarising data numerically.
Exploring Data Tables Trends And Shapes
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Author : David C. Hoaglin
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-28
Exploring Data Tables Trends And Shapes written by David C. Hoaglin and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-28 with Mathematics categories.
WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "Exploring Data Tables, Trends, and Shapes (EDTTS) was written as a companion volume to the same editors' book, Understanding Robust and Exploratory Data Analysis (UREDA). Whereas UREDA is a collection of exploratory and resistant methods of estimation and display, EDTTS goes a step further, describing multivariate and more complicated techniques . . . I feel that the authors have made a very significant contribution in the area of multivariate nonparametric methods. This book [is] a valuable source of reference to researchers in the area." —Technometrics "This edited volume . . . provides an important theoretical and philosophical extension to the currently popular statistical area of Exploratory Data Analysis, which seeks to reveal structure, or simple descriptions, in data . . . It is . . . an important reference volume which any statistical library should consider seriously." —The Statistician This newly available and affordably priced paperback version of Exploring Data Tables, Trends, and Shapes presents major advances in exploratory data analysis and robust regression methods and explains the techniques, relating them to classical methods. The book addresses the role of exploratory and robust techniques in the overall data-analytic enterprise, and it also presents new methods such as fitting by organized comparisons using the square combining table and identifying extreme cells in a sizable contingency table with probabilistic and exploratory approaches. The book features a chapter on using robust regression in less technical language than available elsewhere. Conceptual support for each technique is also provided.
Exploring Data And Metrics Of Value At The Intersection Of Health Care And Transportation
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Author : National Academies of Sciences, Engineering, and Medicine
language : en
Publisher: National Academies Press
Release Date : 2016-12-28
Exploring Data And Metrics Of Value At The Intersection Of Health Care And Transportation written by National Academies of Sciences, Engineering, and Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-28 with Medical categories.
Evidence from the public health sector demonstrates that health care is only one of the determinants of health, which also include genes, behavior, social factors, and the built environment. These contextual elements are key to understanding why health care organizations are motivated to focus beyond their walls and to consider and respond in unprecedented ways to the social needs of patients, including transportation needs. In June 2016 the National Academies of Sciences, Engineering, and Medicine held a joint workshop to explore partnerships, data, and measurement at the intersection of the health care and transportation sectors. This publication summarizes the presentations and discussions from the workshop.
Exploring Data Science With R And The Tidyverse
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Author : Jerry Bonnell
language : en
Publisher: CRC Press
Release Date : 2023-08-14
Exploring Data Science With R And The Tidyverse written by Jerry Bonnell and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-14 with Mathematics categories.
This book introduces the reader to data science using R and the tidyverse. No prerequisite knowledge is needed in college-level programming or mathematics (e.g., calculus or statistics). The book is self-contained so readers can immediately begin building data science workflows without needing to reference extensive amounts of external resources for onboarding. The contents are targeted for undergraduate students but are equally applicable to students at the graduate level and beyond. The book develops concepts using many real-world examples to motivate the reader. Upon completion of the text, the reader will be able to: Gain proficiency in R programming Load and manipulate data frames, and "tidy" them using tidyverse tools Conduct statistical analyses and draw meaningful inferences from them Perform modeling from numerical and textual data Generate data visualizations (numerical and spatial) using ggplot2 and understand what is being represented An accompanying R package "edsdata" contains synthetic and real datasets used by the textbook and is meant to be used for further practice. An exercise set is made available and designed for compatibility with automated grading tools for instructor use.
Exploring Data Sense From Business Insights To Strategic Decisions
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-04-15
Exploring Data Sense From Business Insights To Strategic Decisions written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-15 with Business & Economics categories.
In today's data-driven world, businesses that can effectively harness the power of data gain a significant competitive advantage. "Exploring Data Sense: From Business Insights to Strategic Decisions" is the ultimate guide to unlocking the potential of data and transforming it into actionable insights that fuel growth and success. This comprehensive book takes you on a journey through the world of data analysis, empowering you with the skills and knowledge to make sense of complex data, uncover hidden patterns, and make informed decisions. With clear explanations, real-world examples, and practical exercises, "Exploring Data Sense" is your roadmap to becoming a data-savvy decision-maker. Inside this book, you'll discover: * The fundamentals of data analysis, from data collection and preparation to statistical analysis and data visualization * The power of data visualization to communicate insights effectively and make complex data more accessible * Techniques for uncovering hidden patterns and relationships in data using statistical analysis and machine learning algorithms * How to use data to make better decisions, optimize business processes, and drive innovation * Strategies for building a data-driven culture within your organization and overcoming common challenges in data-driven decision-making With "Exploring Data Sense" as your guide, you'll gain the confidence to leverage data to its fullest potential, turning it into a strategic asset that drives growth, profitability, and long-term success. Whether you're a business leader, an aspiring data analyst, or a professional seeking to enhance your decision-making abilities, this book is your essential companion on the journey to data-driven excellence. Unlock the power of data and transform your business into a data-driven powerhouse. "Exploring Data Sense" is the key to making data-driven decisions, optimizing strategies, and achieving lasting success in the digital age. If you like this book, write a review on google books!