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US Census Data, Volume 58: Concepts and Applications for Supporting Research, Frank Donnelly


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Автор: Frank Donnelly
Название:  US Census Data, Volume 58: Concepts and Applications for Supporting Research
ISBN: 9780838938171
Издательство: Mare Nostrum (Eurospan)
Классификация:

ISBN-10: 0838938175
Обложка/Формат: Paperback
Страницы: 40
Вес: 0.73 кг.
Дата издания: 30.09.2022
Серия: Library technology reports
Язык: English
Размер: 27.99 x 21.59 x 1.85 cm
Читательская аудитория: Professional and scholarly
Ключевые слова: Data analysis: general,Social research & statistics
Подзаголовок: Concepts and applications for supporting research
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Поставляется из: Англии
Описание: The US census is a collection of high-quality, geographically detailed, and free and open datasets that describe the demographic and socio-economic characteristics of the nation on an on-going basis. This issue of Library Technology Reports provides readers with a crash course on the census.

Regression Analysis and Linear Models: Concepts, Applications, and Implementation

Автор: Darlington Richard B., Hayes Andrew F.
Название: Regression Analysis and Linear Models: Concepts, Applications, and Implementation
ISBN: 1462521134 ISBN-13(EAN): 9781462521135
Издательство: Taylor&Francis
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Цена: 83690.00 T
Наличие на складе: Невозможна поставка.
Описание: Ephasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and measurement of multivariate and partial associations, statistical control, group comparisons, moderation analysis, mediation and path analysis, and regression diagnostics, among other important topics. Engaging worked-through examples demonstrate each technique, accompanied by helpful advice and cautions. The use of SPSS, SAS, and STATA is emphasized, with an appendix on regression analysis using R. The companion website (www.afhayes.com) provides datasets for the book`s examples as well as the RLM macro for SPSS and SAS. Pedagogical Features: *Chapters include SPSS, SAS, or STATA code pertinent to the analyses described, with each distinctively formatted for easy identification. *An appendix documents the RLM macro, which facilitates computations for estimating and probing interactions, dominance analysis, heteroscedasticity-consistent standard errors, and linear spline regression, among other analyses. *Students are guided to practice what they learn in each chapter using datasets provided online. *Addresses topics not usually covered, such as ways to measure a variable`s importance, coding systems for representing categorical variables, causation, and myths about testing interaction.

Qualitative Data Collection Tools: Design, Development, and Applications

Автор: Felice D. Billups
Название: Qualitative Data Collection Tools: Design, Development, and Applications
ISBN: 1544334826 ISBN-13(EAN): 9781544334820
Издательство: Sage Publications
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Цена: 39060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Qualitative Data Collection Tools by Felice D. Billups is a new and unique supplementary text that will guide students and new researchers to design, develop, pilot, and employ qualitative tools in order to collect qualitative data.

Statistics for Beginners in Data Science: Theory and Applications of Essential Statistics Concepts using Python

Автор: Publishing Ai
Название: Statistics for Beginners in Data Science: Theory and Applications of Essential Statistics Concepts using Python
ISBN: 1734790113 ISBN-13(EAN): 9781734790115
Издательство: Неизвестно
Цена: 18380.00 T
Наличие на складе: Невозможна поставка.
Описание: Statistics for Beginners in Data Science

Statistical methods are an integral part of data science. Hence, a formal training in statistics is indispensable for data scientists.

If you are keen on getting your foot into the lucrative data science and analysis universe, you need to have a fundamental understanding of statistical analysis. Besides, Python is a versatile programming language you need to master to become a career data scientist.

As a data scientist, you will identify, clean, explore, analyze, and interpret trends or possible patterns in complex data sets. The explosive growth of Big Data means you have to manage enormous amounts of data, clean it, manipulate it, and process it. Only then the most relevant data can be used.

Python is a natural data science tool as it has an assortment of useful libraries, such as Pandas, NumPy, SciPy, Matplotlib, Seaborn, StatsModels, IPython, and several more. And Python's focus on simplicity makes it relatively easy for you to learn. Importantly, the ease of performing repetitive tasks saves you precious time. Long story short--Python is simply a high-priority data science tool.

How Is This Book Different?

The book focuses equally on the theoretical as well as practical aspects of data science. You will learn how to implement elementary data science tools and algorithms from scratch. The book contains an in-depth theoretical and analytical explanation of all data science concepts and also includes dozens of hands-on, real-life projects that will help you understand the concepts better.

The ready-to-access Python codes at various places right through the book are aimed at shortening your learning curve. The main goal is to present you with the concepts, the insights, the inspiration, and the right tools needed to dive into coding and analyzing data in Python.

The main benefit of purchasing this book is you get quick access to all the extra content provided with this book--Python codes, exercises, references, and PDFs--on the publisher's website, at no extra price. You get to experiment with the practical aspects of Data Science right from page 1.

Beginners in Python and statistics will find this book extremely informative, practical, and helpful. Even if you aren't new to Python and data science, you'll find the hands-on projects in this book immensely helpful. The topics covered include:

  • Introduction to Statistics
  • Getting Familiar with Python
  • Data Exploration and Data Analysis
  • Pandas, Matplotlib, and Seaborn for Statistical Visualization
  • Exploring Two or More Variables and Categorical Data
  • Statistical Tests and ANOVA
  • Confidence Interval
  • Regression Analysis
  • Classification Analysis
Click the BUY button and download the book now to start learning and coding Python for Data Science.

Understanding Quantitative Data in Educational Research

Автор: Gaciu Nicoleta
Название: Understanding Quantitative Data in Educational Research
ISBN: 1473982146 ISBN-13(EAN): 9781473982147
Издательство: Sage Publications
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Цена: 110880.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is designed to help Education students gain confidence in analysing and interpreting quantitative data and using appropriate statistical tests, by exploring, in plain language, a variety of data analysis methods.

Seeing Cities Through Big Data: Research, Methods and Applications in Urban Informatics

Автор: Thakuriah Piyushimita (Vonu), Tilahun Nebiyou, Zellner Moira
Название: Seeing Cities Through Big Data: Research, Methods and Applications in Urban Informatics
ISBN: 3319822136 ISBN-13(EAN): 9783319822136
Издательство: Springer
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Цена: 232910.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction to Seeing Cities Through Big Data - Research, Methods, and Applications in Urban Informatics.- Big Data and Urban Informatics: Innovations and Challenges to Urban Planning and Knowledge Discovery.- Analytics of user-generated content.- Using User-Generated Content to Understand Cities.- Developing an Interactive Mobile Volunteered Geographic Information Platform to Integrate Environmental Big Data and Citizen Science in Urban Management.- CyberGIS-enabled Urban Sensing from Volunteered Citizen Participation Using Mobile Devices.- Challenges and opportunities of urban Big Data.- The Potential for Big Data to Improve Neighborhood-Level Census Data.- Big Data and Survey Research: Supplement or Substitute?.- Big Spatio-temporal Network Data Analytics for Smart Cities: Research Needs.- A review of heteroscedasticity treatment with Gaussian Processes and Quantile Regression meta-models.- Changing organizational and educational perspectives with urban Big Data.- Urban Informatics: Critical Data and Technology Considerations.- Emerging Urban Digital Infomediaries and Civic Hacking in an Era of Big Data and Open Data Initiatives.- How Should Urban Planners Be Trained to Handle Big Data?.- Energy Planning in Big data Era: A Theme Study of the Residential Sector.- Urban data management.- Using an online spatial analytics workbench for understanding housing affordability in Sydney.- A Big Data Mashing Tool for Measuring Transit System Performance.- Developing a Comprehensive U.S. Transit Accessibility Database.- Seeing Chinese Cities through Big Data and Statistics.- Urban knowledge discovery applied to different urban contexts.- Planning for the Change: Mapping Sea Level Rise and Storm Inundation in Sherman Island Using 3Di Hydrodynamic Model and LiDAR.- The Impact of Land-Use Variables on Free-floating Carsharing Vehicle Rental Choice and Parking Duration.- Dynamic Agent Based Simulation of an Urban Disaster Using Synthetic Big Data.- Estimation of Urban Transport Accessibility at the Spatial Resolution of an Individual Traveler.- Modeling Taxi Demand and Supply in New York City Using Large-Scale Taxi GPS Data.- Detecting stop episodes from GPS trajectories with gaps.- Emergencies and Crisis.- Using Social Media and Satellite Data for Damage Assessment in Urban Areas During Emergencies.- Health and well-being.- 'Big Data': Pedestrian Volume Using Google Street View Images.- Learning from Outdoor Webcams: Surveillance of Physical Activity Across Environments.- Mapping Urban Soundscapes via Citygram.- Social equity and data democracy.- Big Data and Smart (Equitable) Cities.- Big Data, Small Apps: Premises and Products of the Civic Hackathon.


Data Science and Social Research II: Methods, Technologies and Applications

Автор: Mariani Paolo, Zenga Mariangela
Название: Data Science and Social Research II: Methods, Technologies and Applications
ISBN: 3030512215 ISBN-13(EAN): 9783030512217
Издательство: Springer
Цена: 158380.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The respective contributions focus on complex social systems and current methodological advances in extracting social knowledge from large data sets, as well as modern social research on human behavior and society using large data sets.

Big Data Analysis for Green Computing: Concepts and Applications

Автор: Sharma Rohit, Sharma Dilip Kumar, Bhatt Dhowmya
Название: Big Data Analysis for Green Computing: Concepts and Applications
ISBN: 0367442302 ISBN-13(EAN): 9780367442309
Издательство: Taylor&Francis
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Цена: 168430.00 T
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Описание: This book focuses on big data in business intelligence, data management, machine learning, cloud computing, and smart cities. It also provides an interdisciplinary platform to present and discuss recent innovations, trends, and concerns in the fields of big data and analytics.

Classic Grounded Theory: Applications with Qualitative and Quantitative Data

Автор: Holton Judith A., Walsh Isabelle
Название: Classic Grounded Theory: Applications with Qualitative and Quantitative Data
ISBN: 1483372545 ISBN-13(EAN): 9781483372549
Издательство: Sage Publications
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Цена: 63360.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides practical step-by-step guidance for doing grounded theory (GT) using the classic approach articulated by Barney Glaser.

Propensity score methods and applications

Автор: Bai, Haiyan Clark, M. H.
Название: Propensity score methods and applications
ISBN: 1506378056 ISBN-13(EAN): 9781506378053
Издательство: Sage Publications
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Цена: 39060.00 T
Наличие на складе: Поставка под заказ.
Описание: A concise, introductory text on propensity score methods that is easy to comprehend by those who have a limited background in statistics, and is practical enough for researchers to quickly generalize and apply the methods.

Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction

Автор: Joel Herndon
Название: Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction
ISBN: 1783304596 ISBN-13(EAN): 9781783304592
Издательство: Facet
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Цена: 88000.00 T
Наличие на складе: Нет в наличии.
Описание: This book explores the rapid expansion of data sources, visualizations, and analytics created in the last decade and explores the strategies, tools, and approaches that educators and information specialists are employing to train a new generation of data professionals.

Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction

Автор: Joel Herndon
Название: Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction
ISBN: 178330460X ISBN-13(EAN): 9781783304608
Издательство: Facet
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Цена: 176000.00 T
Наличие на складе: Невозможна поставка.
Описание: This book explores the rapid expansion of data sources, visualizations, and analytics created in the last decade and explores the strategies, tools, and approaches that educators and information specialists are employing to train a new generation of data professionals.

Analyzing the Role of Citizen Science in Modern Research

Автор: Ceccaroni Luigi, Piera Jaume
Название: Analyzing the Role of Citizen Science in Modern Research
ISBN: 1522509623 ISBN-13(EAN): 9781522509622
Издательство: Mare Nostrum (Eurospan)
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Цена: 180180.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As the need for sustainable development practices around the world continues to grow, it has become imperative for citizens to become actively engaged in the global transition. By evaluating data collected from various global programs, researchers are able to identify strategies and challenges in implementing civic engagement initiatives.Analyzing the Role of Citizen Science in Modern Research focuses on analyzing data on current initiatives and best practices in citizen engagement and education programs across various disciplines. Highlighting emergent research and application techniques within citizen science initiatives, this publication appeals to academicians, researchers, policy makers, government officials, technology developers, advanced-level students and program developers interested in launching or improving citizen science programs across the globe.


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