Scatter Plot
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| Author | : Joiner Associates |
| Publisher | : Oriel Incorporated |
| Total Pages | : 140 |
| Release | : 1995-09 |
| Genre | : Computers |
| ISBN | : 9781884731082 |
In problem solving it is often important to learn how different factors are related to one another. This guide covers scatter plots, a tool that shows whether factors are related and, if so, what kind of relationships they have. This guide covers what scatter plots are, how to interpret them, and how to create them. Other titles in the 'Plain & Simple' Series include: * Data Collection (7.2 JOI 1) * Pareto Charts (7.2 JOI 3) * How To Graph (7.2. JOI 2) * Flowcharts (7.2. JOI 8) * Frequency Plots (7.2. JOI 6) * Scatter Plots (7.2. JOI 10) * Time Plots (7.2. JOI 7) * Individuals Charts (7.2. JOI 4) * Cause-And-Effect Diagrams (7.2. JOI 5) * Defect Tile Cards and Process Tile Cards 7.2 JOI 9).
| Author | : Jake VanderPlas |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 609 |
| Release | : 2016-11-21 |
| Genre | : Computers |
| ISBN | : 1491912138 |
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
| Author | : Cole Nussbaumer Knaflic |
| Publisher | : John Wiley & Sons |
| Total Pages | : 284 |
| Release | : 2015-10-09 |
| Genre | : Mathematics |
| ISBN | : 1119002265 |
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!
| Author | : Winston Chang |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 414 |
| Release | : 2013 |
| Genre | : Computers |
| ISBN | : 1449316956 |
"Practical recipes for visualizing data"--Cover.
| Author | : Steve DeGroof |
| Publisher | : Lulu.com |
| Total Pages | : 191 |
| Release | : 2017-05-14 |
| Genre | : Fiction |
| ISBN | : 136596373X |
"A Hole in the Sky" - Things are looking up... with telescopes. * "Book Keepers" - Librarians rule! No, seriously, they rule. * "Batterie de Cuisine" - Aliens would like to have humans for dinner. * "Cat Flap" - The problems involved in living with a hyperdimensional cat. * "Invasive Species" - Alien brain parasites have invaded. No one's above suspicion. * "Feedback Loop" - The robots killed us all off, then felt a bit bad about it. * "Contact Paper" - Flying saucer? How cliche! * "Magic Markers" - You can do magic? Expect a visit from the Feds. * "Relation Ship" - A mining operation quickly turns into something else entirely. * "Character Study" - Are we living in a simulation? Flip a coin.
| Author | : Deborah J. Rumsey |
| Publisher | : John Wiley & Sons |
| Total Pages | : 423 |
| Release | : 2016-06-07 |
| Genre | : Mathematics |
| ISBN | : 1119293529 |
The fun and easy way to get down to business with statistics Stymied by statistics? No fear? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these concepts apply to your everyday life. Statistics For Dummies shows you how to interpret and critique graphs and charts, determine the odds with probability, guesstimate with confidence using confidence intervals, set up and carry out a hypothesis test, compute statistical formulas, and more. Tracks to a typical first semester statistics course Updated examples resonate with today's students Explanations mirror teaching methods and classroom protocol Packed with practical advice and real-world problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or on-the-job performance.
| Author | : Michael Rodríguez-Muñiz |
| Publisher | : Princeton University Press |
| Total Pages | : 312 |
| Release | : 2024-06-04 |
| Genre | : Political Science |
| ISBN | : 0691259135 |
An in-depth look at how U.S. Latino advocacy groups are using ethnoracial demographic projections to bring about political change in the present For years, newspaper headlines, partisan speeches, academic research, and even comedy routines have communicated that the United States is undergoing a profound demographic transformation—one that will purportedly change the “face” of the country in a matter of decades. But the so-called browning of America, sociologist Michael Rodríguez-Muñiz contends, has less to do with the complexion of growing populations than with past and present struggles shaping how demographic trends are popularly imagined and experienced. Offering an original and timely window into these struggles, Figures of the Future explores the population politics of national Latino civil rights groups. Based on eight years of ethnographic and qualitative research, spanning both the Obama and Trump administrations, this book investigates how several of the most prominent of these organizations—including UnidosUS (formerly NCLR), the League of United Latin American Citizens, and Voto Latino—have mobilized demographic data about the Latino population in dogged pursuit of political recognition and influence. In census promotions, get-out-the-vote campaigns, and policy advocacy, this knowledge has been infused with meaning, variously serving as future-oriented sources of inspiration, emblems for identification, and weapons for contestation. At the same time, Rodríguez-Muñiz considers why these political actors have struggled to translate this demographic growth into tangible political gain and how concerns about white backlash have affected how they forecast demographic futures. Figures of the Future looks closely at the politics surrounding ethnoracial demographic changes and their rising influence in U.S. public debate and discourse.
| Author | : The Experts at Dummies |
| Publisher | : John Wiley & Sons |
| Total Pages | : 498 |
| Release | : 2022-04-19 |
| Genre | : Mathematics |
| ISBN | : 111988361X |
Become more likely to succeed—gain stats mastery with Dummies Statistics: 1001 Practice Problems For Dummies gives you 1,001 opportunities to practice solving problems from all the major topics covered in Statistics classes—in the book and online! Get extra help with tricky subjects, solidify what you’ve already learned, and get in-depth walk-throughs for every problem with this useful book. These practice problems and detailed answer explanations will help you gain a valuable working knowledge of statistics, no matter what your skill level. Thanks to Dummies, you have a resource to help you put key stats concepts into practice. Work through practice problems on all Statistics topics covered in school classes Read through detailed explanations of the answers to build your understanding Access practice questions online to study anywhere, any time Improve your grade and up your study game with practice, practice, practice The material presented in Statistics: 1001 Practice Problems For Dummies is an excellent resource for students, as well as parents and tutors looking to help supplement Statistics instruction. Statistics: 1001 Practice Problems For Dummies (9781119883593) was previously published as 1,001 Statistics Practice Problems For Dummies (9781118776049). While this version features a new Dummies cover and design, the content is the same as the prior release and should not be considered a new or updated product.
| Author | : Aldrin Yim |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 297 |
| Release | : 2018-04-24 |
| Genre | : Computers |
| ISBN | : 1788628136 |
Leverage the power of Matplotlib to visualize and understand your data more effectively Key Features Perform effective data visualization with Matplotlib and get actionable insights from your data Design attractive graphs, charts, and 2D plots, and deploy them to the web Get the most out of Matplotlib in this practical guide with updated code and examples Book Description Python is a general-purpose programming language increasingly being used for data analysis and visualization. Matplotlib is a popular data visualization package in Python used to design effective plots and graphs. This is a practical, hands-on resource to help you visualize data with Python using the Matplotlib library. Matplotlib for Python Developers, Second Edition shows you how to create attractive graphs, charts, and plots using Matplotlib. You will also get a quick introduction to third-party packages, Seaborn, Pandas, Basemap, and Geopandas, and learn how to use them with Matplotlib. After that, you’ll embed and customize your plots in third-party tools such as GTK+3, Qt 5, and wxWidgets. You’ll also be able to tweak the look and feel of your visualization with the help of practical examples provided in this book. Further on, you’ll explore Matplotlib 2.1.x on the web, from a cloud-based platform using third-party packages such as Django. Finally, you will integrate interactive, real-time visualization techniques into your current workflow with the help of practical real-world examples. By the end of this book, you’ll be thoroughly comfortable with using the popular Python data visualization library Matplotlib 2.1.x and leveraging its power to build attractive, insightful, and powerful visualizations. What you will learn Create 2D and 3D static plots such as bar charts, heat maps, and scatter plots Get acquainted with GTK+3, Qt5, and wxWidgets to understand the UI backend of Matplotlib Develop advanced static plots with third-party packages such as Pandas, GeoPandas, and Seaborn Create interactive plots with real-time updates Develop web-based, Matplotlib-powered graph visualizations with third-party packages such as Django Write data visualization code that is readily expandable on the cloud platform Who this book is for This book is essentially for anyone who wants to create intuitive data visualizations using the Matplotlib library. If you’re a data scientist or analyst and wish to create attractive visualizations using Python, you’ll find this book useful. Some knowledge of Python programming is all you need to get started.
| Author | : Nancy Tague |
| Publisher | : Quality Press |
| Total Pages | : 625 |
| Release | : 2004-07-14 |
| Genre | : Business & Economics |
| ISBN | : 1953079008 |
The Quality Toolbox is a comprehensive reference to a variety of methods and techniques: those most commonly used for quality improvement, many less commonly used, and some created by the author and not available elsewhere. The reader will find the widely used seven basic quality control tools (for example, fishbone diagram, and Pareto chart) as well as the newer management and planning tools. Tools are included for generating and organizing ideas, evaluating ideas, analyzing processes, determining root causes, planning, and basic data-handling and statistics. The book is written and organized to be as simple as possible to use so that anyone can find and learn new tools without a teacher. Above all, this is an instruction book. The reader can learn new tools or, for familiar tools, discover new variations or applications. It also is a reference book, organized so that a half-remembered tool can be found and reviewed easily, and the right tool to solve a particular problem or achieve a specific goal can be quickly identified. With this book close at hand, a quality improvement team becomes capable of more efficient and effective work with less assistance from a trained quality consultant. Quality and training professionals also will find it a handy reference and quick way to expand their repertoire of tools, techniques, applications, and tricks. For this second edition, Tague added 34 tools and 18 variations. The "Quality Improvement Stories" chapter has been expanded to include detailed case studies from three Baldrige Award winners. An entirely new chapter, "Mega-Tools: Quality Management Systems," puts the tools into two contexts: the historical evolution of quality improvement and the quality management systems within which the tools are used. This edition liberally uses icons with each tool description to reinforce for the reader what kind of tool it is and where it is used within the improvement process.
