Applied Data Visualization With R And Ggplot2
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Applied Data Visualization With R And Ggplot2
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Author : Dr. Tania Moulik
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-09-28
Applied Data Visualization With R And Ggplot2 written by Dr. Tania Moulik and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-28 with Computers categories.
Develop informative and aesthetic visualizations that enable effective data analysis in less time Key FeaturesDiscover structure of ggplot2, grammar of graphics, and geometric objectsStudy how to design and implement visualization from scratchExplore the advantages of using advanced plotsBook Description Applied Data Visualization with R and ggplot2 introduces you to the world of data visualization by taking you through the basic features of ggplot2. To start with, you’ll learn how to set up the R environment, followed by getting insights into the grammar of graphics and geometric objects before you explore the plotting techniques. You’ll discover what layers, scales, coordinates, and themes are, and study how you can use them to transform your data into aesthetical graphs. Once you’ve grasped the basics, you’ll move on to studying simple plots such as histograms and advanced plots such as superimposing and density plots. You’ll also get to grips with plotting trends, correlations, and statistical summaries. By the end of this book, you’ll have created data visualizations that will impress your clients. What you will learnSet up the R environment, RStudio, and understand structure of ggplot2Distinguish variables and use best practices to visualize themChange visualization defaults to reveal more information about dataImplement the grammar of graphics in ggplot2 such as scales and facetingBuild complex and aesthetic visualizations with ggplot2 analysis methodsLogically and systematically explore complex relationshipsCompare variables in a single visual, with advanced plotting methodsWho this book is for Applied Data Visualization with R and ggplot2 is for you if you are a professional working with data and R. This book is also for students who want to enhance their data analysis skills by adding informative and professional visualizations. It is assumed that you know basics of the R language and its commands and objects.
Applied Data Visualization With R And Ggplot2
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Author : Chris Dalla Villa
language : en
Publisher:
Release Date : 2019
Applied Data Visualization With R And Ggplot2 written by Chris Dalla Villa and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
"Applied Data Visualization with R and ggplot2 introduces you to the world of data visualization by taking you through the basic features of ggplot2. To start with, you'll learn how to set up the R environment, followed by getting insights into the grammar of graphics and geometric objects before you explore the plotting techniques. You'll discover what layers, scales, coordinates, and themes are, and study how you can use them to transform your data into aesthetical graphs. Once you've grasped the basics, you'll move on to studying simple plots such as histograms and advanced plots such as superimposing and density plots. You'll also get to grips with plotting trends, correlations, and statistical summaries. By the end of this course, you'll have created data visualizations that will impress your clients."--Resource description page.
Apache Superset Quick Start Guide
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Author : Shashank Shekhar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-12-19
Apache Superset Quick Start Guide written by Shashank Shekhar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-19 with Computers categories.
Integrate open source data analytics and build business intelligence on SQL databases with Apache Superset. The quick, intuitive nature for data visualization in a web application makes it easy for creating interactive dashboards. Key FeaturesWork with Apache Superset's rich set of data visualizationsCreate interactive dashboards and data storytellingEasily explore dataBook Description Apache Superset is a modern, open source, enterprise-ready business intelligence (BI) web application. With the help of this book, you will see how Superset integrates with popular databases like Postgres, Google BigQuery, Snowflake, and MySQL. You will learn to create real time data visualizations and dashboards on modern web browsers for your organization using Superset. First, we look at the fundamentals of Superset, and then get it up and running. You'll go through the requisite installation, configuration, and deployment. Then, we will discuss different columnar data types, analytics, and the visualizations available. You'll also see the security tools available to the administrator to keep your data safe. You will learn how to visualize relationships as graphs instead of coordinates on plain orthogonal axes. This will help you when you upload your own entity relationship dataset and analyze the dataset in new, different ways. You will also see how to analyze geographical regions by working with location data. Finally, we cover a set of tutorials on dashboard designs frequently used by analysts, business intelligence professionals, and developers. What you will learnGet to grips with the fundamentals of data exploration using SupersetSet up a working instance of Superset on cloud services like Google Compute EngineIntegrate Superset with SQL databasesBuild dashboards with SupersetCalculate statistics in Superset for numerical, categorical, or text dataUnderstand visualization techniques, filtering, and grouping by aggregationManage user roles and permissions in SupersetWork with SQL LabWho this book is for This book is for data analysts, BI professionals, and developers who want to learn Apache Superset. If you want to create interactive dashboards from SQL databases, this book is what you need. Working knowledge of Python will be an advantage but not necessary to understand this book.
Quantitative Drug Safety And Benefit Risk Evaluation
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Author : William Wang
language : en
Publisher: CRC Press
Release Date : 2021-12-30
Quantitative Drug Safety And Benefit Risk Evaluation written by William Wang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-30 with Mathematics categories.
Quantitative Methodologies and Process for Safety Monitoring and Ongoing Benefit Risk Evaluation provides a comprehensive coverage on safety monitoring methodologies, covering both global trends and regional initiatives. Pharmacovigilance has traditionally focused on the handling of individual adverse event reports however recently there had been a shift towards aggregate analysis to better understand the scope of product risks. Written to be accessible not only to statisticians but also to safety scientists with a quantitative interest, this book aims to bridge the gap in knowledge between medical and statistical fields creating a truly multi-disciplinary approach that is very much needed for 21st century safety evaluation.
Learning Technologies And Systems
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Author : Tianyong Hao
language : en
Publisher: Springer Nature
Release Date : 2025-04-16
Learning Technologies And Systems written by Tianyong Hao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-16 with Computers categories.
This book constitutes the revised selected papers of the 9th International Symposium on Emerging Technologies for Education, SETE 2024, held in Shanghai, China, during November 26–28, 2024. The 21 full papers presented in this book were carefully reviewed and selected from 45 submissions. The contributions cover the latest findings in various areas, such as Artificial Intelligence in Education, Big Data Driven Education, Informal Learning in the Workplace, Data Driven Decision Making in Education, User/Student/Teacher Modeling, Learning Analytics, Modeling Complex Learning Processes with Multi-Channel Learning Data, Educational Technology and ICT for Education, Assessment in Technology Enhanced Learning, and Inclusive Education. The conjunct events also feature 3 distinguished keynote presentations and 3 workshops, which cover a wide range of topics, such as Generative Artificial Intelligence in Education, Educational Technology and Cognitive Neuroscience for Language Learning, and Digitalization in Language and Cross-Cultural Education.
Machine Learning With Microsoft Technologies
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Author : Leila Etaati
language : en
Publisher: Apress
Release Date : 2019-06-12
Machine Learning With Microsoft Technologies written by Leila Etaati and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-12 with Computers categories.
Know how to do machine learning with Microsoft technologies. This book teaches you to do predictive, descriptive, and prescriptive analyses with Microsoft Power BI, Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, HD Insight, and more. The ability to analyze massive amounts of real-time data and predict future behavior of an organization is critical to its long-term success. Data science, and more specifically machine learning (ML), is today’s game changer and should be a key building block in every company’s strategy. Managing a machine learning process from business understanding, data acquisition and cleaning, modeling, and deployment in each tool is a valuable skill set. Machine Learning with Microsoft Technologies is a demo-driven book that explains how to do machine learning with Microsoft technologies. You will gain valuable insight into designing the best architecture for development, sharing, and deploying a machine learning solution. This book simplifies the process of choosing the right architecture and tools for doing machine learning based on your specific infrastructure needs and requirements. Detailed content is provided on the main algorithms for supervised and unsupervised machine learning and examples show ML practices using both R and Python languages, the main languages inside Microsoft technologies. What You'll Learn Choose the right Microsoft product for your machine learning solution Create and manage Microsoft’s tool environments for development, testing, and production of a machine learning project Implement and deploy supervised and unsupervised learning in Microsoft products Set up Microsoft Power BI, Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, and HD Insight to perform machine learning Set up a data science virtual machine and test-drive installed tools, such as Azure ML Workbench, Azure ML Server Developer, Anaconda Python, Jupyter Notebook, Power BI Desktop, Cognitive Services, machine learning and data analytics tools, and more Architect a machine learning solution factoring in all aspects of self service, enterprise, deployment, and sharing Who This Book Is For Data scientists, data analysts, developers, architects, and managers who want to leverage machine learning in their products, organization, and services, and make educated, cost-saving decisions about their ML architecture and tool set.
Data Visualization Made Simple
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Author : Kristen Sosulski
language : en
Publisher: Routledge
Release Date : 2018-09-27
Data Visualization Made Simple written by Kristen Sosulski and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-27 with Business & Economics categories.
Data Visualization Made Simple is a practical guide to the fundamentals, strategies, and real-world cases for data visualization, an essential skill required in today’s information-rich world. With foundations rooted in statistics, psychology, and computer science, data visualization offers practitioners in almost every field a coherent way to share findings from original research, big data, learning analytics, and more. In nine appealing chapters, the book: examines the role of data graphics in decision-making, sharing information, sparking discussions, and inspiring future research; scrutinizes data graphics, deliberates on the messages they convey, and looks at options for design visualization; and includes cases and interviews to provide a contemporary view of how data graphics are used by professionals across industries Both novices and seasoned designers in education, business, and other areas can use this book’s effective, linear process to develop data visualization literacy and promote exploratory, inquiry-based approaches to visualization problems.
Biomedical Data Visualization Methods And Applications
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Author : Guangchuang Yu
language : en
Publisher: Frontiers Media SA
Release Date : 2022-05-24
Biomedical Data Visualization Methods And Applications written by Guangchuang Yu and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-24 with Science categories.
Mitteilungen Klosterneuburg
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Author :
language : en
Publisher:
Release Date : 2023
Mitteilungen Klosterneuburg written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Fruit-culture categories.
Data Visualization In R With Ggplot2
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Author : Mike Chapple
language : en
Publisher:
Release Date : 2018
Data Visualization In R With Ggplot2 written by Mike Chapple and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.