Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present their work visually. This book details essential strategies to create more effective data visualizations. Jonathan Schwabish walks readers through the steps of creating better graphs and how to move beyo...
Mobile phone and seat belt usage rates in London 2008 (Published Project Reports, #364)
by J. Knowles, LK Walter, and G Buckle
Solve business challenges with Microsoft Power BI's advanced visualization and data analysis techniquesKey FeaturesCreate effective storytelling reports by implementing simple-to-intermediate Power BI featuresDevelop powerful analytical models to extract key insights for changing business needsBuild, publish, and share impressive dashboards for your organizationBook DescriptionTo succeed in today's transforming business world, organizations need business intelligence capabilities to make smarter...
Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.Key FeaturesGet a hands-on, fast-paced introduction to the Python data science stackExplore ways to create useful metrics and statistics from large datasetsCreate detailed analysis reports with real-world dataBook DescriptionProcessing big data in real time is challenging due to scalability, information inconsistency, and fault tolerance. Big Data Analysis with Python tea...
Extract valuable insights from data by leveraging various analysis and visualization techniques with this comprehensive guide Purchase of the print or Kindle book includes a free PDF eBook Key Features Gain practical experience in conducting EDA on a single variable of interest in Python Learn the different techniques for analyzing and exploring tabular, time series, and textual data in Python Get well versed in data visualization using leading Python libraries like Matplotlib and seaborn Boo...
Emerging Technologies in Computing
Emerging Technologies in Computing: Theory, Practice, and Advances reviews the past, current, and future needs of technologies in the computer science field while it also discusses the emerging importance of appropriate practices, advances, and their impact. It outlines emerging technologies and their principles, challenges, and applications as well as issues involved in the digital age. With the rapid development of technologies, it becomes increasingly important for us to remain up to date on...
Applied Unsupervised Learning with Python
by Benjamin Johnston, Aaron Jones, and Christopher Kruger
Design clever algorithms that can uncover interesting structures and hidden relationships in unstructured, unlabeled dataKey FeaturesLearn how to select the most suitable Python library to solve your problemCompare k-Nearest Neighbor (k-NN) and non-parametric methods and decide when to use themDelve into the applications of neural networks using real-world datasetsBook DescriptionUnsupervised learning is a useful and practical solution in situations where labeled data is not available. Applied...
Innovative Psychometric Modeling and Methods (The MARCES Book)
The general theme of this book is to present innovative psychometric modeling and methods. In particular, this book includes research and successful examples of modeling techniques for new data sources from digital assessments, such as eye-tracking data, hint uses, and process data from game-based assessments. In addition, innovative psychometric modeling approaches, such as graphical models, item tree models, network analysis, and cognitive diagnostic models, are included. Chapters 1, 2, 4 and...
Apply data storytelling concepts and analytical thinking to create dashboards and reports in Looker Studio to aid data-driven decision making Key Features Gain a solid understanding of data visualization principles and learn to apply them effectively Get to grips with the concepts and features of Looker Studio to create powerful data stories Explore the end-to-end process of building dashboards with the help of practical examples Book DescriptionPresenting data visually makes it easier for or...
Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can’t scale data science teams fast enough to keep up with the growing amounts of data to transform. What’s the answer? Self-service data. With this practical book, data engineers, data scientists, and team managers will learn how to build a self-service data science platform that helps anyone in your organization extract insights from...
Data has become the most powerful tool in business today, and telling its story effectively is critical to decision making. Yet color is the most neglected tool in data visualization. With this book, author and DATAcated founder Kate Strachnyi provides the ultimate guide to the correct use of color for representing data in graphs, charts, tables, and infographics. Ideal for data and business analysts, data scientists, and others who design infographics and data visualizations, this practical...
Data Analytics & Visualization All-in-One For Dummies
by Jack A. Hyman
Building upon the knowledge introduced in The Data Science Framework, this book provides a comprehensive and detailed examination of each aspect of Data Analytics, both from a theoretical and practical standpoint. The book explains representative algorithms associated with different techniques, from their theoretical foundations to their implementation and use with software tools. Designed as a textbook for a Data Analytics Fundamentals course, it is divided into seven chapters to correspond wi...
Dashboard Design (River Publishers Series in Mathematical, Statistical and Computational Modelling for Engineering)
by Michael Burch and Marco Schmid
Interactive visualization and visual analytics tools have been designed and developed in the past and will be developed in the future as well. In each application domain in which data is measured, generated, and recorded we see a potential candidate for an interactive visualization tool with the goal to find insights and knowledge in the data. This knowledge can be found either visually by humans’ interventions or algorithmically by the machine, in the best case by applying both concepts in comb...
Master Machine Learning L lifecycle management with Oracle Cloud and you will be ready to implement ML driven applications. Key Features How to decide to make a decision about when to retrain How to observe the drifting patterns in ML models How to build cloud networks to support the relevant services and infrastructure Book DescriptionUnlock the full potential of your ML models with Oracle Cloud data science services. This guide provides a hands-on approach to managing the entire ML lifecycl...
Discover all the essential design and architectural patterns in one place to help you rapidly build and deploy your modern data platform using AWS services Key Features Learn to build modern data platforms on AWS using data lakes and purpose-built data services Uncover methods of applying security and governance across your data platform built on AWS Find out how to operationalize and optimize your data platform on AWS Purchase of the print or Kindle book includes a free PDF eBook Book Descri...