Products related to Data:
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Data Preparation and Exploration : Applied to Healthcare Data
Data scientists spend more than two-thirds of their time cleaning, preparing, exploring, and visualizing data before it is ready for modeling and mining.This textbook covers the important steps of data preparation and exploration that anyone who deals with data should know. This textbook is an excellent companion text for our other textbook Introduction to Biomedical Data Science. The data preparation and exploration methods we include are spreadsheet and statistics package approaches, as well as the programming languages R and Python.The reader is introduced to the free stat packages Jamovi and BlueSky Statistics.Multiple techniques for data visualization are presented.Medical datasets are used for demonstrations and student exercises.Importantly, chapter content is supplemented with YouTube videos.Chapters are well referenced (100+) and there is a chapter on health data resources so the reader can find data to prepare and explore on their own. Prominent issues such as how to handle missing data and imbalanced datasets are covered along with sections on descriptive statistics, visualization, correlations, handling duplicates and outliers, scaling, standardization, and much more.A downloadable Data Checklist is available on https://www.informaticseducation.org
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Data Sketches : A journey of imagination, exploration, and beautiful data visualizations
In Data Sketches, Nadieh Bremer and Shirley Wu document the deeply creative process behind 24 unique data visualization projects, and they combine this with powerful technical insights which reveal the mindset behind coding creatively.Exploring 12 different themes – from the Olympics to Presidents & Royals and from Movies to Myths & Legends – each pair of visualizations explores different technologies and forms, blurring the boundary between visualization as an exploratory tool and an artform in its own right.This beautiful book provides an intimate, behind-the-scenes account of all 24 projects and shares the authors’ personal notes and drafts every step of the way. The book features:Detailed information on data gathering, sketching, and coding data visualizations for the web, with screenshots of works-in-progress and reproductions from the authors’ notebooksNever-before-published technical write-ups, with beginner-friendly explanations of core data visualization conceptsPractical lessons based on the data and design challenges overcome during each projectFull-color pages, showcasing all 24 final data visualizationsThis book is perfect for anyone interested or working in data visualization and information design, and especially those who want to take their work to the next level and are inspired by unique and compelling data-driven storytelling.
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Learning Data Science : Data Wrangling, Exploration, Visualization, and Modeling with Python
As an aspiring data scientist, you appreciate why organizations rely on data for important decisions—whether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And you want the skills required to distill a messy pile of data into actionable insights.We call this the data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data. Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass this entire lifecycle.It's aimed at those who wish to become data scientists or who already work with data scientists, and at data analysts who wish to cross the "technical/nontechnical" divide.If you have a basic knowledge of Python programming, you'll learn how to work with data using industry-standard tools like pandas. Refine a question of interest to one that can be studied with dataPursue data collection that may involve text processing, web scraping, etc. Glean valuable insights about data through data cleaning, exploration, and visualizationLearn how to use modeling to describe the dataGeneralize findings beyond the data
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Daphne Draws Data : A Storytelling with Data Adventure
With every stroke of her crayon, Daphne transforms numbers into stories, helping new friends solve their problems with the power of data! Daphne is not your ordinary dragon. She doesn't breathe fire—she breathes life into numbers, turning them into pictures that unravel mysteries, forge friendships, and save the day!From the imaginative mind of bestselling author Cole Nussbaumer Knaflic and the vibrant illustrations of John Skewes comes a story that will captivate kids and parents alike.Follow Daphne’s journey to distant lands, where numbers are heroes in disguise and her adventures teach the basics of graphs in a way that’s fun, interactive, and empowering. Young readers will be delighted by the endearing character of Daphne.They’ll be equally enchanted by her colorful companions, amazed by her clever lessons, and inspired to build their own analytical skills (STEM).Daphne’s story isn’t solely about data; it’s also about appreciating that everyone has their own special talents.It's about teamwork, creativity, and the beauty of seeing the world through a different lens. Dive into Daphne Draws Data and let your child draw their own conclusions, both on the page and in the world.This smart tale is perfect for bedtime stories, classroom reads, and fostering the next generation of curious minds and innovative thinkers.
Price: 16.99 £ | Shipping*: 3.99 £
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Which hobbies involve being outdoors in nature?
Hobbies that involve being outdoors in nature include hiking, birdwatching, gardening, camping, fishing, and photography. These activities allow individuals to connect with the natural world, breathe in fresh air, and enjoy the beauty of the outdoors. Engaging in these hobbies can also provide physical and mental health benefits, such as reducing stress and increasing physical activity.
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Do active mobile data consume data volume?
Yes, active mobile data does consume data volume. When your mobile data is turned on and you are using apps, browsing the internet, streaming videos, or downloading files, data is being consumed from your data plan. It is important to monitor your data usage to avoid exceeding your data limit and potentially incurring extra charges from your mobile service provider.
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Do activated mobile data consume data volume?
Yes, activated mobile data does consume data volume. When mobile data is turned on, it allows your device to connect to the internet using your cellular network, and any data used during this connection will be deducted from your data plan. Activities such as browsing the web, streaming videos, or using apps that require an internet connection will all consume data volume when mobile data is activated. It's important to monitor your data usage to avoid exceeding your plan's limits and incurring additional charges.
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What are master data and transactional data?
Master data refers to the core data entities of an organization, such as customer, product, employee, and supplier information. This data is typically static and does not change frequently. Master data is used as a reference point for transactional data. On the other hand, transactional data refers to the detailed records of day-to-day business activities, such as sales orders, purchase orders, invoices, and payments. This data is dynamic and changes frequently as business transactions occur. Transactional data is used to track and record the specific activities and events within an organization.
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The Enterprise Data Catalog : Improve Data Discovery, Ensure Data Governance, and Enable Innovation
Combing the web is simple, but how do you search for data at work?It's difficult and time-consuming, and can sometimes seem impossible.This book introduces a practical solution: the data catalog.Data analysts, data scientists, and data engineers will learn how to create true data discovery in their organizations, making the catalog a key enabler for data-driven innovation and data governance. Author Ole Olesen-Bagneux explains the benefits of implementing a data catalog.You'll learn how to organize data for your catalog, search for what you need, and manage data within the catalog.Written from a data management perspective and from a library and information science perspective, this book helps you:Learn what a data catalog is and how it can help your organizationOrganize data and its sources into domains and describe them with metadataSearch data using very simple-to-complex search techniques and learn to browse in domains, data lineage, and graphsManage the data in your company via a data catalogImplement a data catalog in a way that exactly matches the strategic priorities of your organizationUnderstand what the future has in store for data catalogs
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Exploration and Discovery
The discovery and mapping of the world, its peoples, oceans and continents, are the result of centuries of exploration.This book traces the history of such travel and the pioneers who pushed back the frontiers of the known world.It explains the reasons for their journeys, whether out of scientific curiosity, to create trading opportunities, to spread religious beliefs or for personal gain or glory.With the aid of over 250 illustrations, maps and photographs, this accessible reference work captures all the excitement and spirit of adventure.
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The Nature Adventure Book : 40 activities to do outdoors
Get curious, get creative, get outside! Get close to nature with this outdoor project book. This is the perfect gift for adventurous children, as they play their way through 40 crafts and games to be done outside. Inside the pages of this activity book for kids, you'll discover:- More than 40 inspiring outdoor activities split into four sections: adventure skills, nature detective, wild art, and sensory games- Outdoor crafts that are explained clearly through beautiful photography and step-by-step instructions - Colourful and fun pages with illustrations mixed in throughout about fun things to do in natureNature is a destination, but you don't have to travel anywhere to find it!Perfect for kids aged 5-7 years, this nature book includes heaps of ideas for outdoor fun that can be done on-the-go, in your neighbourhood, or at your local park.It's the ultimate way to keep even the tiniest of explorers entertained for hours. From leading a friend on a journey to meet a tree and building a twig raft to collecting leaves on a nature walk and creating nature-inspired art, children will love discovering the magic of nature.It's the perfect gift for adventurous kids who love being outdoors and for parents looking for creative outdoor projects and an escape from digital entertainment.
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The Nature of Data : Infrastructures, Environments, Politics
When we look at some of the most pressing issues in environmental politics today, it is hard to avoid data technologies.Big data, artificial intelligence, and data dashboards all promise “revolutionary” advances in the speed and scale at which governments, corporations, conservationists, and even individuals can respond to environmental challenges. By bringing together scholars from geography, anthropology, science and technology studies, and ecology, The Nature of Data explores how the digital realm is a significant site in which environmental politics are waged.This collection as a whole makes the argument that we cannot fully understand the current conjuncture in critical, global environmental politics without understanding the role of data platforms, devices, standards, and institutions.In particular, The Nature of Data addresses the contested practices of making and maintaining data infrastructure, the imaginaries produced by data infrastructures, the relations between state and civil society that data infrastructure reworks, and the conditions under which technology can further socio-ecological justice instead of re-entrenching state and capitalist power.This innovative volume presents some of the first research in this new but rapidly growing subfield that addresses the role of data infrastructures in critical environmental politics.
Price: 25.99 £ | Shipping*: 3.99 £
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How can one store data and create commands for a text adventure in Python?
To store data for a text adventure in Python, you can use dictionaries to store information about the game world, such as room descriptions, item locations, and character attributes. You can also use lists to store information about available commands and actions. To create commands for the text adventure, you can use if-else statements or switch-case statements to handle different user inputs and trigger corresponding actions in the game. Additionally, you can use functions to encapsulate specific actions or interactions within the game world. By organizing data and commands in this way, you can create a structured and interactive text adventure game in Python.
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Is data volume the same as mobile data?
No, data volume and mobile data are not the same. Data volume refers to the amount of data being used or transferred, which can include various types of data such as text, images, videos, etc. On the other hand, mobile data specifically refers to the internet data that is used on a mobile device, typically through a cellular network. Mobile data is a subset of data volume, as data volume can also include data used on other devices or networks.
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What do Data Science and Data Engineering mean?
Data Science involves extracting insights and knowledge from data using various techniques such as statistics, machine learning, and data visualization. Data Scientists are responsible for analyzing and interpreting complex data sets to inform business decisions and solve problems. Data Engineering, on the other hand, focuses on the design and construction of systems for collecting, storing, and processing data. Data Engineers build and maintain the infrastructure that enables data to be accessed and utilized by Data Scientists and other stakeholders. They are also responsible for ensuring the reliability, scalability, and efficiency of data pipelines and storage systems.
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How do you compare experimental data with theoretical data?
Experimental data is collected through direct observation or measurement, while theoretical data is derived from mathematical models or theoretical predictions. To compare the two, one can analyze the agreement or disagreement between the experimental and theoretical results. This can involve statistical analysis, such as calculating the percent difference or correlation coefficient, as well as visual comparison through graphs or plots. Additionally, one can also consider the sources of error in the experimental data and assess the validity of the theoretical model in explaining the observed results.
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