Download or read book Data Collection written by Lee Baker and published by Lee Baker. This book was released on with total page 47 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prevention is better than cure. That’s as true about data collection as it is about anything else. Data collection might be an incredibly simple (and boring) task, but it’s also very easy to get wrong. Get it right and all the steps that follow, like data cleaning and preparation, analysis, plotting, statistics and machine learning, all fall into place and everything goes like a dream. But get it wrong and you’ve got weeks of pain ahead of you, correcting all the mistakes you made right at the beginning. Having a good data collection plan is the difference between a project that inspires you to go to work with a smile on your face every day and one where you struggle to drag yourself out of bed every morning. Your sanity is on the line here! Building a good data collection plan, believe it or not, is a roadmap to doing your entire study properly. Data Collection is a short guide to getting that plan up and running. It is a snappy little non-threatening book about everything you ever wanted to know (but were afraid to ask) about data collection, answers the most frequently asked questions and inspires you to take the next steps in your journey. First, I’ll explain why data is so important, and break down the differences between data, information and knowledge. Then we’ll look at why we collect data in the first place. I’ll explain the purpose of building a data collection plan and teach you about the 5 methods of data collection. Then I’ll give you my top tips for practical data collection to give you the best start possible. By the time you’ve read this short book, you’ll be able to create your own data collection plan that enables you to collect a dataset that is useful, accurate and fit-for-purpose – everything you need for a great research project. Data Collection makes no assumptions about your previous experience and is perfect for beginners and those just getting started with collecting data. Discover the world of Data Collection. Get this book, TODAY!

Download or read book Big Data written by Viktor Mayer-Schönberger and published by Houghton Mifflin Harcourt. This book was released on 2013 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

Download or read book Data Science from Scratch written by Joel Grus and published by "O'Reilly Media, Inc.". This book was released on 2015-04-14 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

Download or read book Biomedical Engineering Systems and Technologies written by Ana Fred and published by Springer. This book was released on 2011-03-02 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the Third International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2010, held in Valencia, Spain, in January 2010. The 30 revised full papers presented together with 1 invited lecture were carefully reviewed and selected from a total of 410 submissions in two rounds of reviewing and improvement. The papers cover a wide range of topics and are organized in four general topical sections on healthinf, biodevices, biosignals, and bioinformatics.

Download or read book Versus Warriors written by Hannah Wilson and published by Macmillan. This book was released on 2009-11-10 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ten warriors are gathered from across time to fight five epic battles.

Download or read book Secrets of the JavaScript Ninja written by Josip Maras and published by Simon and Schuster. This book was released on 2016-08-18 with total page 708 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary More than ever, the web is a universal platform for all types of applications, and JavaScript is the language of the web. If you're serious about web development, it's not enough to be a decent JavaScript coder. You need to be ninja-stealthy, efficient, and ready for anything. This book shows you how. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology JavaScript is rapidly becoming a universal language for every type of application, whether on the web, on the desktop, in the cloud, or on mobile devices. When you become a JavaScript pro, you have a powerful skill set that’s usable across all these domains. About the Book Secrets of the JavaScript Ninja, Second Edition uses practical examples to clearly illustrate each core concept and technique. This completely revised edition shows you how to master key JavaScript concepts such as functions, closures, objects, prototypes, and promises. It covers APIs such as the DOM, events, and timers. You’ll discover best practice techniques such as testing, and cross-browser development, all taught from the perspective of skilled JavaScript practitioners. What’s Inside Writing more effective code with functions, objects, and closures Learning to avoid JavaScript application pitfalls Using regular expressions to write succinct text-processing code Managing asynchronous code with promises Fully revised to cover concepts from ES6 and ES7 About the Reader You don’t have to be a ninja to read this book—just be willing to become one. Are you ready? About the Authors John Resig is an acknowledged JavaScript authority and the creator of the jQuery library. Bear Bibeault is a web developer and author of the first edition, as well as coauthor of Ajax in Practice, Prototype and Scriptaculous in Action, and jQuery in Action from Manning. Josip Maras is a post-doctoral researcher and teacher. Table of Contents PART 1 - WARMING UP JavaScript is everywhere Building the page at runtime PART 2 - UNDERSTANDING FUNCTIONS First-class functions for the novice: definitions and arguments Functions for the journeyman: understanding function invocation Functions for the master: closures and scopes Functions for the future: generators and promises PART 3 - DIGGING INTO OBJECTS AND FORTIFYING YOUR CODE Object orientation with prototypes Controlling access to objects Dealing with collections Wrangling regular expressions Code modularization techniques PART 4 - BROWSER RECONNAISSANCE Working the DOM Surviving events Developing cross-browser strategies

Download or read book Effective Data Visualization written by Stephanie D. H. Evergreen and published by SAGE Publications. This book was released on 2019-04-03 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: NOW IN FULL COLOR! Written by sought-after speaker, designer, and researcher Stephanie D. H. Evergreen, Effective Data Visualization shows readers how to create Excel charts and graphs that best communicate their data findings. This comprehensive how-to guide functions as a set of blueprints—supported by both research and the author’s extensive experience with clients in industries all over the world—for conveying data in an impactful way. Delivered in Evergreen’s humorous and approachable style, the book covers the spectrum of graph types available beyond the default options, how to determine which one most appropriately fits specific data stories, and easy steps for building the chosen graph in Excel. Now in full color with new examples throughout, the Second Edition includes a revamped chapter on qualitative data, nine new quantitative graph types, new shortcuts in Excel, and an entirely new chapter on Sharing Your Data With the World, which provides advice on using dashboards. New from Stephanie Evergreen! The Data Visualization Sketchbook provides advice on getting started with sketching and offers tips, guidance, and completed sample sketches for a number of reporting formats. Bundle Effective Data Visualization, 2e, and The Data Visualization Sketchbook, using ISBN 978-1-5443-7178-8!

Download or read book Data and the Built Environment written by Ian Gordon and published by Springer Nature. This book was released on with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Data Feminism written by Catherine D'Ignazio and published by MIT Press. This book was released on 2023-10-03 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.

Download or read book Ninja Bunny written by Jennifer Gray Olson and published by Knopf Books for Young Readers. This book was released on 2015-06-09 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fresh, funny, and hip picture book about a little bunny who wants to be . . . a ninja! How to be a SUPER AWESOME NINJA: · Rule #1. You must always work alone. · Rule #2. You must be super sneaky, especially in the most dangerous of situations. · Rule #3. A super awesome ninja must: possess incredible strength, achieve invisibility, master the skill of climbing, gain the ability to fly. . . . Our little bunny is ready to embark on his path to becoming a ninja. But is he cut out for the ninja life? Especially if it means leaving his friends behind?

Download or read book Data Types written by Lee Baker and published by Lee Baker. This book was released on with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data visualisation is sexy. So is Artificial Intelligence, Bayesian inference and Time Series analysis. As data analysts, we all like to do the sexy things, but it’s the boring, more mundane and every day data tasks – like understanding the different types of data – that will make or break your analysis. Few people that have to do statistics as part of their research know and understand the statistical data types, and as a result struggle to get to grips with what they can and can’t do with their data. That’s a shame, because if you know the 4 types of data in statistics you know: · How to handle your data correctly · What you can calculate with them · Which descriptive statistics and visualisations are appropriate · Which statistical hypothesis tests you can use In short, understanding your data types is a roadmap to doing your entire study properly. They really are that important! Data Types is a short guide to all the different types of data you’ll encounter in statistics. It is a snappy little non-threatening book about everything you ever wanted to know (but were afraid to ask) about the 4 types of data in statistics, answers the most frequently asked questions and inspires you to take the next steps in your journey. First, I’ll explain what Quantitative and Qualitative data are in simple terms. Then I’ll break these 2 data classes down into the 4 types of data – Ratio, Interval, Ordinal and Nominal data. I’ll show you how to handle each of them so you know precisely what you can and can’t do with them. You’ll learn which types of mathematics you can calculate with each, which descriptive statistics and visualisations you can use, and which statistics you can perform with them. I’ll even show you how to create and analyse Dummy variables! By the time you’ve read this short book, you’ll know as much about data types as a statistician with a PhD! Yes, really. I’ve left nothing out! Data Types makes no assumptions about your previous experience and is perfect for beginners and those just getting started with analysing data. Discover the world of Data Types. Get this book, TODAY!

Download or read book Event Data Recorder EDR Interpretation written by Christopher Armstrong and published by SAE International. This book was released on 2018-11-02 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collision Reconstruction Methodologies - Volume 7B -The last ten years have seen explosive growth in the technology available to the collision analyst, changing the way reconstruction is practiced in fundamental ways. The greatest technological advances for the crash reconstruction community have come in the realms of photogrammetry and digital media analysis. The widespread use of scanning technology has facilitated the implementation of powerful new tools to digitize forensic data, create 3D models and visualize and analyze crash vehicles and environments. The introduction of unmanned aerial systems and standardization of crash data recorders to the crash reconstruction community have enhanced the ability of a crash analyst to visualize and model the components of a crash reconstruction. Because of the technological changes occurring in the industry, many SAE papers have been written to address the validation and use of new tools for collision reconstruction. Collision Reconstruction Methodologies Volumes 1-12 bring together seminal SAE technical papers surrounding advancements in the crash reconstruction field. Topics featured in the series include: • Night Vision Study and Photogrammetry • Vehicle Event Data Recorders • Motorcycle, Heavy Vehicle, Bicycle and Pedestrian Accident Reconstruction The goal is to provide the latest technologies and methodologies being introduced into collision reconstruction - appealing to crash analysts, consultants and safety engineers alike.

Download or read book Data Cleaning The Ultimate Practical Guide written by Lee Baker and published by Lee Baker. This book was released on 2022-11-07 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data visualisation is sexy. So are Bayesian Belief Nets and Artificial Neural Networks. You can’t get to do any of these things, though, if your data are dirty. Your analysis package will just stare back at you, saying ‘computer says no’. But just how do you get the clean data that these packages need? What is ‘clean data’? And, for that matter, what is ‘dirty data’? Data Cleaning: The Ultimate Practical Guide is a guide to understanding what dirty data is, and how it gets into your dataset. More than that, it is a guide to helping you prevent most types of dirty data getting into your dataset in the first place, and cleaning out quickly and efficiently the remaining errors, so you can have clean, fit-for-purpose and analysis-ready data. So that your data are ready to change the world! Data Cleaning: The Ultimate Practical Guide is a snappy little non-threatening book about everything you ever wanted to know (but were afraid to ask) about the craft of cleaning and preparing your data for the sexier parts of your analysis. First, I’ll explain about the 4 phases of data cleaning. Then I’ll show you the 6 different types of dirty data that tend to find a way into your dataset. You’ll learn about the 5 data collection methods typically used in research, and you’ll get a 5 step method of cleaning data. Finally, you’ll learn about the 4 data pre-processing steps using summary statistics that will help you get your data fit-for-purpose and analysis-ready. Best of all, there is no technical jargon – it is written in plain English and is perfect for beginners! By the time you’ve read this short book, you’ll know more about data collection and cleaning than most people around you! Discover how to clean your data quickly and effectively. Get this book, TODAY!

Download or read book Network Data Analytics written by K. G. Srinivasa and published by Springer. This book was released on 2018-04-26 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: In order to carry out data analytics, we need powerful and flexible computing software. However the software available for data analytics is often proprietary and can be expensive. This book reviews Apache tools, which are open source and easy to use. After providing an overview of the background of data analytics, covering the different types of analysis and the basics of using Hadoop as a tool, it focuses on different Hadoop ecosystem tools, like Apache Flume, Apache Spark, Apache Storm, Apache Hive, R, and Python, which can be used for different types of analysis. It then examines the different machine learning techniques that are useful for data analytics, and how to visualize data with different graphs and charts. Presenting data analytics from a practice-oriented viewpoint, the book discusses useful tools and approaches for data analytics, supported by concrete code examples. The book is a valuable reference resource for graduate students and professionals in related fields, and is also of interest to general readers with an understanding of data analytics.

Download or read book Practical Data Cleaning written by Lee Baker and published by Lee Baker. This book was released on 2019-01-30 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data cleaning is a waste of time. If the data had been collected properly in the first place there wouldn’t be any cleaning to do, and you wouldn’t now be faced with the prospect of weeks of cleaning to get your dataset analysis-ready. Worse still, your boss won’t understand why your analysis report isn’t on his desk yet, a mere 48 hours after he’s asked for it. Bless him, he doesn’t understand – he thinks that cleaning data is just about clicking a few buttons in Excel and – ta da! – it’s all done. Even a monkey can do that, right? And – for good reason – you won’t get any help from statistics books either. Data is messy and cleaning it can be difficult, time-consuming and costly. Not to mention it’s the least sexy thing you can do with a dataset. Yet you’ve still got to do it, because, well, someone has to… But it doesn’t have to be so difficult. If you're organised and follow a few simple rules your data cleaning processes can be simple, fast and effective. Not to mention fun! Well, not fun exactly, just not quite as coma-inducing. Practical Data Cleaning (now in its 5th Edition!) explains the 19 most important tips about data cleaning with a focus on understanding your data, how to work with it, choose the right ways to analyse it, select the correct tools and how to interpret the results to get your data clean in double quick time. Best of all, there is no technical jargon – it is written in plain English and is perfect for beginners! Discover how to clean your data quickly and effectively. Get this book, TODAY!

Download or read book Django in Action written by Christopher Trudeau and published by Simon and Schuster. This book was released on 2024-07-30 with total page 715 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build professional quality web applications using Python and the Django 5.0 web framework. The Django web application framework powers huge sites like Netflix, Dropbox, YouTube, and Spotify. Learn how it can power your web apps too! In this hands-on book, you’ll begin building a fully functional web application with Django starting with chapter 1. In Django in Action you’ll: Build a multi-user web site in Django Read, write, and manage data Create reusable and composable HTML templates Manage user data including form submissions and file uploads Set up authentication, authorization, and per-person-per-page permissions Manage the backend using the Django Admin tool Discover Django libraries and plugins Django in Action is the perfect way to get started for new Django developers creating their first Python-based web apps. It’s written by Christopher Trudeau, co-host of The Real Python Podcast and creator of dozens of popular courses at Real Python and TalkPython. The book starts with Django’s basics and works through all of the core concepts of the framework until you’re comfortable and confident creating your own web apps. You’ll especially enjoy the author’s lighthearted style that makes learning fun! Foreword by Michael Kennedy. About the technology Django makes life easier for Python web developers. This “batteries included” framework comes packed with everything you need—a template engine that crafts HTML-like code, efficient user management features, automated testing, robust API support, and much more. If you know the basics of Python, Django will help you build professional-quality web applications. This book will show you how. About the book In Django in Action you’ll dive deep into Django as you build a complete multi-user website. Hands-on from the start, each chapter introduces new features to your site, including password management and authentication, web forms and file uploads, and dynamic, JavaScript-like interactivity. You’ll see how all the components of a Django project come together while learning practical tips on leveraging third-party libraries and deploying your code to production. What's inside Reusable and composable HTML templates Reading, writing, and managing data Backend management with Django Admin Exploring Django libraries and plugins About the reader For readers with basic Python programming and some HTML knowledge. About the author Christopher Trudeau is the co-host of the Real Python Podcast, a prolific author of Django and Python articles and video courses, and an experienced Python developer. Table of Contents PART 1 1 Django unfolds 2 Your first Django site 3 Templates 4 Django ORM 5 Django Admin PART 2 6 User management 7 Forms, user data, static files, and uploads 8 Testing your project 9 Management commands 10 Migration PART 3 11 APIs 12 Making your pages more dynamic with HTMX 13 Django power tools 14 Where to go next Appendix A Appendix B Appendix C Appendix D Appendix E

Download or read book Big Data written by Brian Clegg and published by Icon Books. This book was released on 2017-08-03 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is the Brexit vote successful big data politics or the end of democracy? Why do airlines overbook, and why do banks get it wrong so often? How does big data enable Netflix to forecast a hit, CERN to find the Higgs boson and medics to discover if red wine really is good for you? And how are companies using big data to benefit from smart meters, use advertising that spies on you and develop the gig economy, where workers are managed by the whim of an algorithm? The volumes of data we now access can give unparalleled abilities to make predictions, respond to customer demand and solve problems. But Big Brother's shadow hovers over it. Though big data can set us free and enhance our lives, it has the potential to create an underclass and a totalitarian state. With big data ever-present, you can't afford to ignore it. Acclaimed science writer Brian Clegg - a habitual early adopter of new technology (and the owner of the second-ever copy of Windows in the UK) - brings big data to life.