The Data Visualization Workshop Second Edition

What you will learn Get to grips with fundamental concepts and conventions of data visualization Learn how to use libraries like NumPy and Pandas to index, slice, and iterate data frames Implement different plotting techniques to produce ...

Author: Mario Döbler

Publisher:

ISBN: 1838981489

Category: Computers

Page: 480

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The Data Visualization Workshop

What you will learn Understand the importance of data visualization in data science Implement NumPy and pandas operations on real-life datasets Create captivating data visualizations using plotting libraries Use advanced techniques to plot ...

Author: Mario Dobler

Publisher: Packt Publishing Ltd

ISBN: 9781800568112

Category: Computers

Page: 536

View: 637

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Explore a modern approach to visualizing data with Python and transform large real-world datasets into expressive visual graphics using this beginner-friendly workshop Key Features Discover the essential tools and methods of data visualization Learn to use standard Python plotting libraries such as Matplotlib and Seaborn Gain insights into the visualization techniques of big companies Book Description Do you want to transform data into captivating images? Do you want to make it easy for your audience to process and understand the patterns, trends, and relationships hidden within your data? The Data Visualization Workshop will guide you through the world of data visualization and help you to unlock simple secrets for transforming data into meaningful visuals with the help of exciting exercises and activities. Starting with an introduction to data visualization, this book shows you how to first prepare raw data for visualization using NumPy and pandas operations. As you progress, you'll use plotting techniques, such as comparison and distribution, to identify relationships and similarities between datasets. You'll then work through practical exercises to simplify the process of creating visualizations using Python plotting libraries such as Matplotlib and Seaborn. If you've ever wondered how popular companies like Uber and Airbnb use geoplotlib for geographical visualizations, this book has got you covered, helping you analyze and understand the process effectively. Finally, you'll use the Bokeh library to create dynamic visualizations that can be integrated into any web page. By the end of this workshop, you'll have learned how to present engaging mission-critical insights by creating impactful visualizations with real-world data. What you will learn Understand the importance of data visualization in data science Implement NumPy and pandas operations on real-life datasets Create captivating data visualizations using plotting libraries Use advanced techniques to plot geospatial data on a map Integrate interactive visualizations to a webpage Visualize stock prices with Bokeh and analyze Airbnb data with Matplotlib Who this book is for The Data Visualization Workshop is for beginners who want to learn data visualization, as well as developers and data scientists who are looking to enrich their practical data science skills. Prior knowledge of data analytics, data science, and visualization is not mandatory. Knowledge of Python basics and high-school-level math will help you grasp the concepts covered in this data visualization book more quickly and effectively.
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The Data Visualization Workshop

Fun activities and exercises featured throughout the book will keep you engaged as you build interactive visualizations with real data.

Author: Mario Dobler

Publisher:

ISBN: 1800568843

Category: Computers

Page: 536

View: 211

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Explore a modern approach to visualizing data with Python and transform large real-world datasets into expressive visual graphics using this beginner-friendly workshopKey Features* Discover the essential tools and methods of data visualization* Learn to use standard Python plotting libraries such as Matplotlib and Seaborn* Gain insights into the visualization techniques of big companiesBook DescriptionDo you want to transform data into captivating images? Do you want to make it easy for your audience to process and understand the patterns, trends, and relationships hidden within your data?The Data Visualization Workshop will guide you through the world of data visualization and help you to unlock simple secrets for transforming data into meaningful visuals with the help of exciting exercises and activities.Starting with an introduction to data visualization, this book shows you how to first prepare raw data for visualization using NumPy and pandas operations. As you progress, you'll use plotting techniques, such as comparison and distribution, to identify relationships and similarities between datasets. You'll then work through practical exercises to simplify the process of creating visualizations using Python plotting libraries such as Matplotlib and Seaborn. If you've ever wondered how popular companies like Uber and Airbnb use geoplotlib for geographical visualizations, this book has got you covered, helping you analyze and understand the process effectively. Finally, you'll use the Bokeh library to create dynamic visualizations that can be integrated into any web page.By the end of this workshop, you'll have learned how to present engaging mission-critical insights by creating impactful visualizations with real-world data.What you will learn* Understand the importance of data visualization in data science* Implement NumPy and pandas operations on real-life datasets* Create captivating data visualizations using plotting libraries* Use advanced techniques to plot geospatial data on a map* Integrate interactive visualizations to a webpage* Visualize stock prices with Bokeh and analyze Airbnb data with MatplotlibWho this book is forThe Data Visualization Workshop is for beginners who want to learn data visualization, as well as developers and data scientists who are looking to enrich their practical data science skills. Prior knowledge of data analytics, data science, and visualization is not mandatory. Knowledge of Python basics and high-school-level math will help you grasp the concepts covered in this data visualization book more quickly and effectively.
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Database Issues for Data Visualization

This volume presents the proceedings of the International Workshop on Database Issues for Data Visualization, held in conjunction with the IEEE Visualization '93 conference in San Jose, California in October 1993.

Author: John P. Lee

Publisher: Springer Science & Business Media

ISBN: 3540585192

Category: Computers

Page: 229

View: 771

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This volume presents the proceedings of the International Workshop on Database Issues for Data Visualization, held in conjunction with the IEEE Visualization '93 conference in San Jose, California in October 1993. The book contains 13 technical contributions organized in sections on datamodels; system integration issues; and interaction, user interfaces, and presentation issues. In addition there are three introductory section surveys and an overall workshop description summarizing the whole event. In total, the reader is presented with a thoroughly refereed and carefully edited state-of-the-art report on the hot interdisciplinary topic of database issues and data visualization.
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Database Issues for Data Visualization

This book constitutes the strictly refereed post-workshop proceedings of the Second International Workshop on Database Issues for Data Visualization, held in conjunction with the IEEE Visualization '95 conference in Atlanta, Georgia, in ...

Author: Andreas Wierse

Publisher: Springer

ISBN: 3540622217

Category: Computers

Page: 229

View: 970

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This book constitutes the strictly refereed post-workshop proceedings of the Second International Workshop on Database Issues for Data Visualization, held in conjunction with the IEEE Visualization '95 conference in Atlanta, Georgia, in October 1995. Besides 13 revised full papers, the book presents three workshop subgroup reports summarizing the contents of the book as well as the state-of-the-art in the areas of scientific data modelling, supporting interactive database exploration, and visualization related metadata. The volume provides a snapshop of current research in the area and surveys the problems that must be addressed now and in the future towards the integration of database management systems and data visualization.
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Visualization in Medicine and Life Sciences II

The workshop and the book addressed questions of whether medical data visualization approaches can be devised or improved to meet these challenges, with the promise of ultimately being adopted by medical experts.

Author: Lars Linsen

Publisher: Springer Science & Business Media

ISBN: 9783642216084

Category: Mathematics

Page: 288

View: 189

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For some time, medicine has been an important driver for the development of data processing and visualization techniques. Improved technology offers the capacity to generate larger and more complex data sets related to imaging and simulation. This, in turn, creates the need for more effective visualization tools for medical practitioners to interpret and utilize data in meaningful ways. The first edition of Visualization in Medicine and Life Sciences (VMLS) emerged from a workshop convened to explore the significant data visualization challenges created by emerging technologies in the life sciences. The workshop and the book addressed questions of whether medical data visualization approaches can be devised or improved to meet these challenges, with the promise of ultimately being adopted by medical experts. Visualization in Medicine and Life Sciences II follows the second international VMLS workshop, held in Bremerhaven, Germany, in July 2009. Internationally renowned experts from the visualization and driving application areas came together for this second workshop. The book presents peer-reviewed research and survey papers which document and discuss the progress made, explore new approaches to data visualization, and assess new challenges and research directions.
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Introduction to Data Visualization and Storytelling

"I was going through the book and it looks great!" - Mauricio Zanotti, Director ONG La Ruta Solar. "Here in Argentina the community in data science is really growing, and I love visualizations and find the way to tell the story.

Author: Jose Berengueres

Publisher: Independently Published

ISBN: 1085827836

Category:

Page: 99

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An introduction to data visualization and data storytelling. This book explains (visually) the fundamental principles of a meaningful chart making at high level. No coding or statistics skills required. Audience: data visualization students, senior data scientists, prescriptive analytics consultants. Written by a design thinking professor and multiple-times awarded kaggle master, this book hits the sweet spot between abstraction and detail.
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Visualization in Medicine and Life Sciences II

The workshop and the book addressed questions of whether medical data visualization approaches can be devised or improved to meet these challenges, with the promise of ultimately being adopted by medical experts.

Author: Lars Linsen

Publisher: Springer

ISBN: 3642216072

Category: Mathematics

Page: 290

View: 765

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For some time, medicine has been an important driver for the development of data processing and visualization techniques. Improved technology offers the capacity to generate larger and more complex data sets related to imaging and simulation. This, in turn, creates the need for more effective visualization tools for medical practitioners to interpret and utilize data in meaningful ways. The first edition of Visualization in Medicine and Life Sciences (VMLS) emerged from a workshop convened to explore the significant data visualization challenges created by emerging technologies in the life sciences. The workshop and the book addressed questions of whether medical data visualization approaches can be devised or improved to meet these challenges, with the promise of ultimately being adopted by medical experts. Visualization in Medicine and Life Sciences II follows the second international VMLS workshop, held in Bremerhaven, Germany, in July 2009. Internationally renowned experts from the visualization and driving application areas came together for this second workshop. The book presents peer-reviewed research and survey papers which document and discuss the progress made, explore new approaches to data visualization, and assess new challenges and research directions.
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HEPVIS96 Workshop on Visualization in High Energy Physics

two objects together , the color of the link actually provides a visual indication of
the data types of the connected parameters . ' Users of the Developer Edition can
" drill - down " into every module in the system to access the lowest levels of a ...

Author: L. Taylor

Publisher:

ISBN: UVA:X004031157

Category: Computer graphics

Page: 153

View: 782

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Storytelling with Data

This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story.

Author: Cole Nussbaumer Knaflic

Publisher: John Wiley & Sons

ISBN: 9781119002253

Category: Business & Economics

Page: 384

View: 136

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Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!
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Data Visualization Techniques

( vWHVP91 ] T . van Walsum , A . J . S . Hin , J . Versloot , and F . H . Post .
Efficient hybrid rendering of volume data and polygons . In Second Eurographics
Workshop on Visualization in Scientific Computing , Delft , Netherlands , April
1991 .

Author: Chandrajit Bajaj

Publisher: John Wiley & Son Limited

ISBN: UOM:39015042990435

Category: Computers

Page: 144

View: 533

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Data visualization techniques are a means to manipulate sampled and computed data for comprehensive display. Visualized data can be static or in motion, to provide visual explanations of algorithms or general information. This book draws on examples from a broad selection of subject areas, such as atmospheric sciences or biology, which deal with diverse data analysis and visualization techniques. The various visualization methodologies covered in this book also include moving images as well as static. It is an important source of information for computer graphics software engineers, graduates and researchers who work in the field of visualization techniques. Unique features in this book include: Details of data visualization techniques for scalar, vector and tensor field data and accompanying data structures Explanation of how to express visual images in computational terms and turn these into display, with minimum delay Methodology for "probing" a displayed visualization, in order to elicit more detail Collection of information from several interrelated subject areas in one volume Trends in Software - edited by Balachander Krishnamurthy of AT&T Research - is a sister publication of the journal Software: Practice and Experience
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Advances in Self Organizing Maps Learning Vector Quantization Clustering and Data Visualization

This book gathers papers presented at the 13th International Workshop on Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization (WSOM+), which was held in Barcelona, Spain, from the 26th to the 28th of June ...

Author: Alfredo Vellido

Publisher: Springer

ISBN: 9783030196424

Category: Computers

Page: 342

View: 817

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This book gathers papers presented at the 13th International Workshop on Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization (WSOM+), which was held in Barcelona, Spain, from the 26th to the 28th of June 2019. Since being founded in 1997, the conference has showcased the state of the art in unsupervised machine learning methods related to the successful and widely used self-organizing map (SOM) method, and extending its scope to clustering and data visualization. In this installment of the AISC series, the reader will find theoretical research on SOM, LVQ and related methods, as well as numerous applications to problems in fields ranging from business and engineering to the life sciences. Given the scope of its coverage, the book will be of interest to machine learning researchers and practitioners in general and, more specifically, to those looking for the latest developments in unsupervised learning and data visualization.
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Visualization in Scientific Computing

Recent Conferences and Workshops in Scientific Visualization V . Watson ,
Representation of Complex Systems M ... Remote Graphics Facility L . Treinish ,
Data Structure and Data Management for Scientific Visualization The workshop
report ...

Author: Gregory M. Nielson

Publisher:

ISBN: UOM:39015021512580

Category: Computer graphics

Page: 283

View: 756

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The purpose of this text is to provide a reference source to scientists, engineers, and students who are new to scientific visualization or who are interested in expanding their knowledge in this subject. If used properly, it can also serve as an introduction and tutorial.
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Big Data in Small Slices Data Visualization for Communicators

This book offers an engaging and accessible introduction to data visualization for communicators, covering everything from data collection and analysis to the creation of effective data visuals.

Author: Dianne M. Finch-Claydon

Publisher: Taylor & Francis

ISBN: 9781317435358

Category: Language Arts & Disciplines

Page: 140

View: 400

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This book offers an engaging and accessible introduction to data visualization for communicators, covering everything from data collection and analysis to the creation of effective data visuals. Straying from the typical "how to visualize data" genre often written for technical audiences, Big Data in Small Slices offers those new to data gathering and visualization the opportunity to better understand data itself. Using the concept of the "data backstory," each chapter features discussions with experts, from marine scientists to pediatricians and city government officials, who produce datasets in their daily work. The reader is guided through the process of designing effective visualizations based on their data, delving into how datasets are produced and vetted, and how to assess their weaknesses and strengths, ultimately offering readers the knowledge needed to produce their own effective data visuals. This book is an invaluable resource for anyone interested in data visualization and storytelling, from journalism and communications students to public relations professionals. A detailed accompanying website features additional material for readers, including links to all the original datasets used in the text, at www.bigdatainsmallslices.com
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Database Issues for Data Visualization

IEEE Visualization '95 Workshop, Atlanta, Georgia, USA, October 28, 1995.
Proceedings Andreas Wierse, Georges G. Grinstein, Ulrich Lang. 2 Workshop
Format The papers were solicited in the Call for Participation . The working
subgroups ...

Author: Andreas Wierse

Publisher: Springer Verlag

ISBN: UOM:39015041000228

Category: Computers

Page: 219

View: 117

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This book constitutes the strictly refereed post-workshop proceedings of the Second International Workshop on Database Issues for Data Visualization, held in conjunction with the IEEE Visualization '95 conference in Atlanta, Georgia, in October 1995. Besides 13 revised full papers, the book presents three workshop subgroup reports summarizing the contents of the book as well as the state-of-the-art in the areas of scientific data modelling, supporting interactive database exploration, and visualization related metadata. The volume provides a snapshop of current research in the area and surveys the problems that must be addressed now and in the future towards the integration of database management systems and data visualization.
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Sas graph

Describes how to visualize and investigate the patterns and relationships that are hidden in network data (node-link data).

Author: SAS Institute

Publisher: Sas Inst

ISBN: 1599948036

Category: Computers

Page: 124

View: 709

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Describes how to visualize and investigate the patterns and relationships that are hidden in network data (node-link data). Some common applications that use network data include supply chains, communication networks, Web sites, database schema, and software module dependencies. This document explains how to combine data tables, statistical graphs, and network graphs in order to extract information that would otherwise remain hidden.
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Data Visualization for Oracle Business Intelligence 11g

At our data visualization workshops and seminars, we consistently get asked one
question afterward: “How should we get started?” Most OBIEE implementations
are large, complex, and represent significant investment in time, money, and ...

Author: Dan Vlamis

Publisher: McGraw Hill Professional

ISBN: 9780071837279

Category: Computers

Page: 352

View: 846

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The only Oracle Press guide to creating effective visual presentations of business intelligence data quickly and easily Data Visualization for Oracle Business Intelligence 11g reveals the best practices for creating graphs, tables, maps, and other methodologies for presenting data-driven insights using one of the most common business intelligence front-end systems in the world, Oracle Business Intelligence 11g. This information-rich guide offers clear instructions for building top-quality dashboards, analyses, and visualizations from real-world implementers and respected data visualization experts. You’ll learn everything from improving the readability of your tables to implementing the latest Advanced Trellis Chart features and from adding native map views of BI data to designing optimal dashboard layout strategies. You’ll see how to produce accurate, compelling, and professional graphics that will immediately enhance corporate decision making. Shows proven steps for extracting maximum impact from native features that are little known to the majority of BI users Covers dashboard strategy, including layout, design, navigation, master detail linking, action links, and prompts Addresses how to extend Oracle Business Intelligence 11g with advanced languages and visualization systems such as JavaScript-based D3 and JQuery, R, and Oracle Application Development Framework Includes an associated web gallery showcasing the colors and graphics that render best digitally
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