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Dirty Data
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Book Synopsis Between the Spreadsheets by : SUSAN. WALSH
Download or read book Between the Spreadsheets written by SUSAN. WALSH and published by . This book was released on 2021-09-16 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a fool-proof method for cleaning and classifying business data. Covering everything from data classification to normalisation, taxonomies and presenting the author's proven COAT methodology, it helps organisations ensure their data is Consistent, Organised, Accurate and Trustworthy. A series of data horror stories outlines what can go wrong in managing data, and if it does, how it can be fixed.
Book Synopsis Discriminating Data by : Wendy Hui Kyong Chun
Download or read book Discriminating Data written by Wendy Hui Kyong Chun and published by MIT Press. This book was released on 2021-11-02 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: How big data and machine learning encode discrimination and create agitated clusters of comforting rage. In Discriminating Data, Wendy Hui Kyong Chun reveals how polarization is a goal—not an error—within big data and machine learning. These methods, she argues, encode segregation, eugenics, and identity politics through their default assumptions and conditions. Correlation, which grounds big data’s predictive potential, stems from twentieth-century eugenic attempts to “breed” a better future. Recommender systems foster angry clusters of sameness through homophily. Users are “trained” to become authentically predictable via a politics and technology of recognition. Machine learning and data analytics thus seek to disrupt the future by making disruption impossible. Chun, who has a background in systems design engineering as well as media studies and cultural theory, explains that although machine learning algorithms may not officially include race as a category, they embed whiteness as a default. Facial recognition technology, for example, relies on the faces of Hollywood celebrities and university undergraduates—groups not famous for their diversity. Homophily emerged as a concept to describe white U.S. resident attitudes to living in biracial yet segregated public housing. Predictive policing technology deploys models trained on studies of predominantly underserved neighborhoods. Trained on selected and often discriminatory or dirty data, these algorithms are only validated if they mirror this data. How can we release ourselves from the vice-like grip of discriminatory data? Chun calls for alternative algorithms, defaults, and interdisciplinary coalitions in order to desegregate networks and foster a more democratic big data.
Download or read book Blissful Data written by Margaret Y. Chu and published by AMACOM. This book was released on 2004-02-02 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analyzing information and acting accordingly is a key strategic goal of every business. But vast quantities of data are of little use if they are not structured and kept in such a way as to be readily accessible and applicable. Only optimally organized information can drive maximum productivity. Blissful Data is a reader-friendly book that reveals what it takes to achieve a state of perfect organization within the environment of a successful data warehouse. This timely book will help the reader: * understand how data evolves into information that drives better decision making * recognize the pitfalls, caused by people and politics, that lead to short-sighted solutions and long-term problems * manage data warehousing costs, performance, and expectations effectively * apply project management fundamentals to data warehouse endeavors. Blissful Data includes dozens of examples, as well as case studies illustrating successful, unsuccessful, and disastrous data warehouse strategies.
Book Synopsis Data Cleaning: The Ultimate Practical Guide by : Lee Baker
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!
Book Synopsis Practical Data Cleaning by : Lee Baker
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!
Book Synopsis E-Commerce and Web Technologies by : Kurt Bauknecht
Download or read book E-Commerce and Web Technologies written by Kurt Bauknecht and published by Springer. This book was released on 2005-08-31 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: We welcome you to the 6th International Conference on E-Commerce and Web Technology (EC-Web 2005) held in Copenhagen, Denmark. It was held in conjunction with DEXA 2005. This conference was organized for the first time in Greenwich, UK, in 2000, and it has been able to attract an increasing number of participants and interest, reflecting the progress made in the field. As in the five previous years, EC-Web 2005 served as a forum that brought together researchers from academia and practitioners from industry to discuss the current state of the art in e-commerce and Web technologies. We are sure that inspirations and new ideas emerged from the intensive discussions that took place during the formal sessions and social events. Keynote addresses, research presentations and discussions during the conference helped to further develop the exchange of ideas among current researchers, developers and practitioners. The conference attracted 139 paper submissions and each paper was reviewed by three Program Committee members. The Program Committee selected 39 papers for presentation and publication (an acceptance rate of 28%). And we have to confess that this task was not that easy due to the high quality of the submitted papers.
Book Synopsis Python Data Cleaning Cookbook by : Michael Walker
Download or read book Python Data Cleaning Cookbook written by Michael Walker and published by Packt Publishing Ltd. This book was released on 2020-12-11 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover how to describe your data in detail, identify data issues, and find out how to solve them using commonly used techniques and tips and tricks Key FeaturesGet well-versed with various data cleaning techniques to reveal key insightsManipulate data of different complexities to shape them into the right form as per your business needsClean, monitor, and validate large data volumes to diagnose problems before moving on to data analysisBook Description Getting clean data to reveal insights is essential, as directly jumping into data analysis without proper data cleaning may lead to incorrect results. This book shows you tools and techniques that you can apply to clean and handle data with Python. You'll begin by getting familiar with the shape of data by using practices that can be deployed routinely with most data sources. Then, the book teaches you how to manipulate data to get it into a useful form. You'll also learn how to filter and summarize data to gain insights and better understand what makes sense and what does not, along with discovering how to operate on data to address the issues you've identified. Moving on, you'll perform key tasks, such as handling missing values, validating errors, removing duplicate data, monitoring high volumes of data, and handling outliers and invalid dates. Next, you'll cover recipes on using supervised learning and Naive Bayes analysis to identify unexpected values and classification errors, and generate visualizations for exploratory data analysis (EDA) to visualize unexpected values. Finally, you'll build functions and classes that you can reuse without modification when you have new data. By the end of this Python book, you'll be equipped with all the key skills that you need to clean data and diagnose problems within it. What you will learnFind out how to read and analyze data from a variety of sourcesProduce summaries of the attributes of data frames, columns, and rowsFilter data and select columns of interest that satisfy given criteriaAddress messy data issues, including working with dates and missing valuesImprove your productivity in Python pandas by using method chainingUse visualizations to gain additional insights and identify potential data issuesEnhance your ability to learn what is going on in your dataBuild user-defined functions and classes to automate data cleaningWho this book is for This book is for anyone looking for ways to handle messy, duplicate, and poor data using different Python tools and techniques. The book takes a recipe-based approach to help you to learn how to clean and manage data. Working knowledge of Python programming is all you need to get the most out of the book.
Book Synopsis Multimedia Technology and Enhanced Learning by : Bing Wang
Download or read book Multimedia Technology and Enhanced Learning written by Bing Wang and published by Springer Nature. This book was released on 2024 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zusammenfassung: The four-volume set LNICST 532, 533, 534 and 535 constitutes the refereed proceedings of the 5th EAI International Conference on Multimedia Technology and Enhanced Learning, ICMTEL 2023, held in Leicester, UK, during April 28-29, 2023. The 121 papers presented in the proceedings set were carefully reviewed and selected from 285 submissions. They were organized in topical sections as follows: AI-based education and learning systems; medical and healthcare; computer vision and image processing; data mining and machine learning; workshop 1: AI-based data processing, intelligent control and their applications; workshop 2: intelligent application in education; and workshop 3: the control and data fusion for intelligent systems
Book Synopsis Applied Informatics by : Hector Florez
Download or read book Applied Informatics written by Hector Florez and published by Springer Nature. This book was released on 2019-10-28 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed papers of the Second International Conference on Applied Informatics, ICAI 2019, held in Madrid, Spain, in November 2019. The 37 full papers and one short paper were carefully reviewed and selected from 98 submissions. The papers are organized in topical sections on bioinformatics; data analysis; decision systems; health care information systems; IT Architectures; learning management systems; robotic autonomy; security services; socio-technical systems; software design engineering.
Book Synopsis Paul Muldoon and the Language of Poetry by : Ruben Moi
Download or read book Paul Muldoon and the Language of Poetry written by Ruben Moi and published by BRILL. This book was released on 2020-01-13 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: Paul Muldoon and the Language of Poetry is the first book in years that attends to the entire oeuvre of the Irish-American poet, critic, lyricist, dramatist and Princeton professor from his debut with New Weather in 1973 up to his very recent publications. Ruben Moi’s book explores, in correspondence with language philosophy and critical debate, how Muldoon’s ingenious language and inventive form give shape and significance to his poetry, and how his linguistic panache and technical verve keep language forever surprising, new and alive.
Book Synopsis Avoiding Data Pitfalls by : Ben Jones
Download or read book Avoiding Data Pitfalls written by Ben Jones and published by John Wiley & Sons. This book was released on 2019-11-19 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Avoid data blunders and create truly useful visualizations Avoiding Data Pitfalls is a reputation-saving handbook for those who work with data, designed to help you avoid the all-too-common blunders that occur in data analysis, visualization, and presentation. Plenty of data tools exist, along with plenty of books that tell you how to use them—but unless you truly understand how to work with data, each of these tools can ultimately mislead and cause costly mistakes. This book walks you step by step through the full data visualization process, from calculation and analysis through accurate, useful presentation. Common blunders are explored in depth to show you how they arise, how they have become so common, and how you can avoid them from the outset. Then and only then can you take advantage of the wealth of tools that are out there—in the hands of someone who knows what they're doing, the right tools can cut down on the time, labor, and myriad decisions that go into each and every data presentation. Workers in almost every industry are now commonly expected to effectively analyze and present data, even with little or no formal training. There are many pitfalls—some might say chasms—in the process, and no one wants to be the source of a data error that costs money or even lives. This book provides a full walk-through of the process to help you ensure a truly useful result. Delve into the "data-reality gap" that grows with our dependence on data Learn how the right tools can streamline the visualization process Avoid common mistakes in data analysis, visualization, and presentation Create and present clear, accurate, effective data visualizations To err is human, but in today's data-driven world, the stakes can be high and the mistakes costly. Don't rely on "catching" mistakes, avoid them from the outset with the expert instruction in Avoiding Data Pitfalls.
Book Synopsis Data Mining and Knowledge Discovery Handbook by : Oded Z. Maimon
Download or read book Data Mining and Knowledge Discovery Handbook written by Oded Z. Maimon and published by Springer Science & Business Media. This book was released on 2005 with total page 1436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Organizes major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD). This book provides algorithmic descriptions of classic methods, and also suitable for professionals in fields such as computing applications, information systems management, and more.
Book Synopsis How to Become a Data Analyst by : Annie Nelson
Download or read book How to Become a Data Analyst written by Annie Nelson and published by John Wiley & Sons. This book was released on 2023-11-23 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Start a brand-new career in data analytics with no-nonsense advice from a self-taught data analytics consultant In How to Become a Data Analyst: My Low-Cost, No Code Roadmap for Breaking into Tech, data analyst and analytics consultant Annie Nelson walks you through how she took the reins and made a dramatic career change to unlock new levels of career fulfilment and enjoyment. In the book, she talks about the adaptability, curiosity, and persistence you’ll need to break free from the 9-5 grind and how data analytics—with its wide variety of skills, roles, and options—is the perfect field for people looking to refresh their careers. Annie offers practical and approachable data portfolio-building advice to help you create one that’s manageable for an entry-level professional but will still catch the eye of employers and clients. You’ll also find: Deep dives into the learning journey required to step into a data analytics role Ways to avoid getting lost in the maze of online courses and certifications you can find online—while still obtaining the skills you need to be competitive Explorations of the highs and lows of Annie’s career-change journey and job search—including what was hard, what was easy, what worked well, and what didn’t Strategies for using ChatGPT to help you in your job search A must-read roadmap to a brand-new and exciting career in data analytics, How to Become a Data Analyst is the hands-on tutorial that shows you exactly how to succeed.
Book Synopsis Proceedings of the 1993 International Conference on Parallel Processing by : C.Y. Roger Chen
Download or read book Proceedings of the 1993 International Conference on Parallel Processing written by C.Y. Roger Chen and published by CRC Press. This book was released on 1993-08-16 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume work presents a compendium of current and seminal papers on parallel/distributed processing offered at the 22nd International Conference on Parallel Processing, held August 16-20, 1993 in Chicago, Illinois. Topics include processor architectures; mapping algorithms to parallel systems, performance evaluations; fault diagnosis, recovery, and tolerance; cube networks; portable software; synchronization; compilers; hypercube computing; and image processing and graphics. Computer professionals in parallel processing, distributed systems, and software engineering will find this book essential to their complete computer reference library.
Book Synopsis Web Technologies and Applications by : Feifei Li
Download or read book Web Technologies and Applications written by Feifei Li and published by Springer. This book was released on 2016-09-17 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: This LNCS double volume LNCS 9931-9932 constitutes the refereed proceedings of the 18th Asia-Pacific Conference APWeb 2016 held in Suzhou, China, in September 2016. The 79 full papers and presented together with 24 short papers and 17 demo papers were carefully reviewed and selected from 215 submissions. the focus of the conference was on following subjects: Spatio-temporal, Textual and Multimedia Data Management Social Media Data Analysis Modelling and Learning with Big Data Streaming and Real-time Data Analysis Recommendation System Data Quality and Privacy Query Optimization and Scalable Data Processing
Book Synopsis Ethics in Statistics by : Hassan Doosti
Download or read book Ethics in Statistics written by Hassan Doosti and published by Ethics International Press. This book was released on 2024-03-29 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data plays a vital role in different parts of our lives. In the world of big data, and policy determined by a variety of statistical artifacts, discussions around the ethics of data gathering, manipulation and presentation are increasingly important. Ethics in Statistics aims to make a significant contribution to that debate. The processes of gathering data through sampling, summarising of the findings, and extending results to a population, need to be checked via an ethical prospective, as well as a statistical one. Statistical learning without ethics can be harmful for mankind. This edited collection brings together contributors in the field of data science, data analytics and statistics, to share their thoughts about the role of ethics in different aspects of statistical learning.
Book Synopsis In Memory Data Management and Analysis by : Arun Jagatheesan
Download or read book In Memory Data Management and Analysis written by Arun Jagatheesan and published by Springer. This book was released on 2015-01-13 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post conference proceedings of the First and Second International Workshops on In Memory Data Management and Analysis held in Riva del Garda, Italy, August 2013 and Hangzhou, China, in September 2014. The 11 revised full papers were carefully reviewed and selected from 18 submissions and cover topics from main-memory graph analytics platforms to main-memory OLTP applications.
