Informationsvisualisering

Hvorfor skal vi tegne mere sammen?Mange organisationer oplever et behov for nye arbejdsmetoder til at håndtere og navigere i den stigende kompleksitet, som de indgår i. Når vi arbejder visuelt, kan vi skabe fælles billeder og derigennem opnå fælles forståelse på tværs af faggrupper, afdelinger og kulturer. Derfor skal vi tegne mere, sammen. Når vi tegner, bliver vi konkrete og gør verden mere håndgribelig. Tegn mere sammen tilbyder ledere, forandringsagenter og iværksættere en effektiv tilgang til at tænke, kommunikere og samarbejde på.giver en praktisk, nem og overskuelig indføring i, hvordan vi alle kan tegne - det drejer sig blot om at mestre nogle simple grundformer.viser, hvordan du kan designe og facilitere værdifulde processer, møder, workshops og konferencer gennem FEM DESIGNLOOPS.På tegnmeresammen.dk finder du bogens digitale univers. Her kan du downloade redskaber og hente endnu mere inspiration til at arbejde mere visuelt.

Learn the latest version of ArcGIS Pro with the newest edition of this bestselling series. Getting to Know ArcGIS Pro 2.8 introduces the tools and functions of ArcGIS Pro, the powerful desktop GIS application. Geographic information system (GIS) software is making a huge impact in businesses and organizations with mapping and analytic capabilities.  Getting to Know ArcGIS Pro 2.8 uses practical project workflows to teach best practices to readers of all skill levels. Readers will explore data visualizations, build a geodatabase, discover 3D GIS, create maps for web and physical presentations, and more. With more than 300 full-color images, Getting to Know ArcGIS Pro 2.8 clarifies complicated processes such as developing a geoprocessing model, using Python to write a script tool, and creating space-time cubes for analysis. Throughout the book, short sidebars about real-world GIS scenarios in specific industries help readers understand how ArcGIS Pro can be applied widely to solve problems. At the end of each chapter, a summary and glossary help reinforce the skills learned.  This edition has been completely updated for use with ArcGIS Pro 2.8. Other updates include new chapters on ArcGIS Online and geocoding. The Getting to Know series has been teaching readers about GIS for more than 20 years. Ideal for students, self-learners, and professionals who want to learn the premier GIS desktop application, Getting to Know ArcGIS Pro 2.8 is a textbook and desk reference designed to show users how they can use ArcGIS Pro successfully on their own.

This expansive publication follows up on TASCHEN's Information Graphics with more than 280 contemporary and vintage visualizations to help us understand our world, including seven fold-out spreads. Spanning the present state, and historical shaping, of society, culture, technology, economics and the environment, this is at once a showcase of...

Unlock the full potential of your data by mastering the art of cleaning, preparing, and transforming data with Power BI for smarter insights and data visualizationsKey Features:Implement best practices for connecting, preparing, cleaning, and analyzing multiple sources of data using Power BIConduct exploratory data analysis (EDA) using DAX, PowerQuery, and the M languageApply your newfound knowledge to tackle common data challenges for visualizations in Power BIPurchase of the print or Kindle book includes a free PDF eBookBook Description:Microsoft Power BI offers a range of powerful data cleaning and preparation options through tools such as DAX, Power Query, and the M language. However, despite its user-friendly interface, mastering it can be challenging. Whether you're a seasoned analyst or a novice exploring the potential of Power BI, this comprehensive guide equips you with techniques to transform raw data into a reliable foundation for insightful analysis and visualization.This book serves as a comprehensive guide to data cleaning, starting with data quality, common data challenges, and best practices for handling data. You'll learn how to import and clean data with Query Editor and transform data using the M query language. As you advance, you'll explore Power BI's data modeling capabilities for efficient cleaning and establishing relationships. Later chapters cover best practices for using Power Automate for data cleaning and task automation. Finally, you'll discover how OpenAI and ChatGPT can make data cleaning in Power BI easier.By the end of the book, you will have a comprehensive understanding of data cleaning concepts, techniques, and how to use Power BI and its tools for effective data preparation.What You Will Learn:Connect to data sources using both import and DirectQuery optionsUse the Query Editor to apply data transformationsTransform your data using the M query languageDesign clean and optimized data models by creating relationships and DAX calculationsPerform exploratory data analysis using Power BIAddress the most common data challenges with best practicesExplore the benefits of using OpenAI, ChatGPT, and Microsoft Copilot for simplifying data cleaningWho this book is for:If you're a data analyst, business intelligence professional, business analyst, data scientist, or anyone who works with data on a regular basis, this book is for you. It's a useful resource for anyone who wants to gain a deeper understanding of data quality issues and best practices for data cleaning in Power BI. If you have a basic knowledge of BI tools and concepts, this book will help you advance your skills in Power BI.

Unleash the full potential of Microsoft Excel's latest version and elevate your data-driven prowess with this comprehensive resourceKey FeaturesCreate robust and automated dashboards in Excel for M365Apply data visualization principles and employ dynamic charts and tables to create constantly updated and informative dashboards for your organizationUncover the best practices for effective dashboard creationPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionM365 Excel is a modern Excel version that is constantly updated with features that make creating and automating analyses, reports, and dashboards very easy compared with older Excel versions. This book will help you leverage its full capabilities, beginning with a quick overview of what dashboards are and how they are different from other types of reports. Then, you'll familiarize yourself with the different standard dashboards currently available and what they are meant to accomplish for organizations. As you progress, you'll get to grips with the use of new powerful tools such as Power Query and dynamic array formulae in the automation of analysis, gaining insights into the right approach to take in building effective dashboards. You'll equip yourself with not only all the essential formulae, charts, and non-chart visuals but also learn how to set up your dashboard perfectly. Along the way, you'll build a couple of awesome dashboards from scratch to utilize your newfound knowledge.By the end of this book, you will be able to carry out an impressive and robust level of analysis on business data that may come from multiple sources or files, using better processes, formulae, and best practices in M365 to create insightful dashboards faster.What you will learnUnderstand the importance of dashboards in today's business analytics environmentDelve into the various essential formulae in ExcelUtilize Power Query to shape and transform data to extract insights easilyExplore the power of the new dynamic array functions in M365Employ PivotTable and Power Pivot to automate your dashboardsMaster the setup and optimization of your dashboard canvasDiscover best practices for visualization, charts, and effective dashboard creationConsolidate your knowledge through a hands-on concluding projectWho this book is forThis book is for Microsoft Excel users, especially those tasked with creating dynamic reports and dashboards that require data and help support to decision-makers within an organization with visually engaging and actionable insights. Financial analysts, data analysts, business analysts, and BI professionals will also greatly benefit from this book. Some familiarity with the Microsoft Excel interface is a prerequisite. Table of ContentsDashboards, Reports, and M365 ExcelCommon Dashboards in Large CompaniesThe Importance of Connecting Directly to the Primary Data SourcesPower Query: the Ultimate Data Transformation ToolPivotTable and Power PivotMust-Know Legacy Excel FunctionsDynamic Array Functions and Lambda FunctionsGetting Comfortable with the 19 Excel ChartsNon-Chart VisualsSetting Up the Dashboard's Data ModelPerfecting the DashboardBest Practices for Real-World Dashboard Building

Getting to Know Mobile GIS empowers readers to creatively use mobile GIS and drive innovation in this fast-advancing field."Mobile-first" and the "post-PC era" aren't just buzzwords; they represent today's reality. Within the GIS industry, the mobile internet and mobile GIS have profoundly transformed how we acquire, visualize, analyze, and disseminate geospatial information. With its ubiquitous use and location-aware capabilities, the mobile platform is an essential part of enterprise GIS across industries, making mobile GIS crucial to the business operations and future success of wide-ranging organizations.Getting to Know Mobile GIS helps GIS professionals and GIS students grasp the opportunities presented by mobile GIS. It provides principles and detailed tutorials to teach today's cutting-edge mobile GIS technologies. Using a no-code, low-code approach, it makes mobile GIS easy and fun to learn. Readers can immediately become productive in creating enterprise GIS solutions, ranging from online and offline spatial data visualization, data collection, location sharing, and workforce coordination to integration with enterprise workflows.Pinde Fu leads the ArcGIS Platform Engineering team at Esri Professional Services and teaches at universities, including Harvard University Extension School. His specialties include web and mobile GIS technologies and applications in various industries. Several of his projects have won special achievement awards. Fu is the author of Getting to Know Web GIS (Esri Press, 2022) and lead author of Web GIS: Principles and Applications (Esri Press, 2010).

Wer hat das Skifahren erfunden? Wie machen Vögel Musik? Was ist das Geheimnis unseres Schlafs? Seit 1888 beantwortet das Magazin National Geographic solche und Tausende andere Fragen unaufgeregt, klug und mit bestechend guten Infografiken . Wir haben die besten davon ausgesucht.

To make sense of the vast amount of data in today's business landscape, you not only need to visualize data, but incorporate statistics into your visualizations as well. This practical book walks intermediate to advanced Tableau users through ways that statistics can help you incorporate decision science into the visualizations you create. Data analysts, business analysts, and business intelligence specialists will greatly benefit from this book. Author Ethan Lang, data visualization designer and engineer, explains the decision science process and then demonstrates how you, your stakeholders, and your business can take action and make informed decisions with data much faster than before. You'll learn how this process will help you make more sense of your data and make data analysis more actionable and insightful. This book helps you: Get up to speed with the basic statistics & Tableau concepts you need to know Understand how to incorporate statistical models into your visualizations and/or analysis Understand how to explore your data to ensure you implement the correct models Explore multiple ways to detect and visualize anomalies in your data Use and understand tools native to Tableau to implement different regression models, forecasting, and clustering Download the necessary software and connect to external connections Explore examples that show you how to build and implement models using external connections

Get up and running with building data pipelines and creating interactive dashboards to visualize, monitor, and present a wide variety of time-series data with this comprehensive introductory guideKey FeaturesInstall, set up, and configure Grafana for real-time data analysis, visualization, and alertingVisualize and monitor data using data sources such as InfluxDB, Telegraf, Prometheus, and ElasticsearchExplore Grafana's cloud support with Microsoft Azure, Amazon CloudWatch, and Google Cloud MonitoringPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionGet ready to unlock the full potential of the open-source Grafana observability platform, ideal for analyzing and monitoring time-series data with this updated second edition. This beginners guide will help you get up to speed with Grafana's latest features for querying, visualizing, and exploring logs and metrics, no matter where they are stored.Starting with the basics, this book demonstrates how to quickly install and set up a Grafana server using Docker. You'll then be introduced to the main components of the Grafana interface before learning how to analyze and visualize data from sources such as InfluxDB, Telegraf, Prometheus, Logstash, and Elasticsearch. The book extensively covers key panel visualizations in Grafana, including Time Series, Stat, Table, Bar Gauge, and Text, and guides you in using Python to pipeline data, transformations to facilitate analytics, and templating to build dynamic dashboards. Exploring real-time data streaming with Telegraf, Promtail, and Loki, you'll work with observability features like alerting rules and integration with PagerDuty and Slack. As you progress, the book addresses the administrative aspects of Grafana, from configuring users and organizations to implementing user authentication with Okta and LDAP, as well as organizing dashboards into folders, and more. By the end of this book, you'll have gained all the knowledge you need to start building interactive dashboards.What you will learnLearn the techniques of data visualization using GrafanaGet familiar with the major components of Time series visualizationExplore data transformation operations, query inspector, and time interval settingsWork with advanced dashboard features, such as annotations, variable-based templating, and dashboard linking and sharingConnect user authentication through Okta, Google, GitHub, and other external providersDiscover Grafana's monitoring support for cloud service infrastructuresWho this book is forThis book is for business intelligence developers, business analysts, data analysts, and anyone interested in performing time-series data analysis and monitoring using Grafana. You'll also find this book useful if you're looking to create and share interactive dashboards or get up to speed with the latest features of Grafana. Although no prior knowledge of Grafana is required, basic knowledge of data visualization and some Python programming experience will help you understand the concepts covered in the book.Table of ContentsIntroducing Data Visualization with GrafanaTouring the Grafana InterfaceDiving into Grafana's Time Series VisualizationConnecting Grafana to a Prometheus Data SourceExtracting and Visualizing Data with InfluxDB and GrafanaShaping Data with Grafana TransformationsSurveying Key Grafana VisualizationsSurveying Additional Grafana VisualizationsCreating Insightful DashboardsWorking with Advanced Dashboard Features and Elasticsearch(N.B. Please use the Look Inside option to see further chapters)

The guide includes a downloadable Power BI file so you can work and experiment with the code.This comprehensive guide is intended for a quick resolution of the most common cases that can be encountered when performing a modeling from scratch in POWER BI. Through its use, it is intended to stop investing numerous hours in development and poorly written (non-optimized) code that generates serious bugs. The result of this guide is a knowledge base that guides us to find the DAX code we need or to generate it by ourselves.In it you will find the resolution of the same case from different perspectives applying the different FUNCTIONS AND COMBINATIONS BETWEEN THEM so that you can find the best one that fits the need of the project.As you consult this guide, you will learn:Use and combine FUNCTIONS in DAX Language.Create code using a cleaner syntax.Acquire an agile development style.If you want to go deeper into DAX programming, this guide will help you write code cleanly and optimally.

Streamline your workflow, transform raw data into actionable insights, and use Alteryx Designer to shape, design, and visualize dataKey FeaturesAcquire the skills necessary to perform analytics operations like an expertDiscover hidden trends and insights in your data from various sources to make accurate predictionsReduce the time and effort required to derive insights from your dataPurchase of the print or Kindle book includes a free eBook in the PDF formatBook DescriptionAlteryx allows you to create data manipulation and analytic workflows with a simple, easy-to-use, code-free UI, and perform fast-executing workflows, offering multiple ways to achieve the same results. The Alteryx Designer Cookbook is a comprehensive guide to maximizing your Alteryx skills and determining the best ways to perform data operations.This book's recipes will guide you through an analyst's complete journey, covering all aspects of the data life cycle. The first set of chapters will teach you how to read data from various sources to obtain reports and pass it through the required adjustment operations for analysis. After an explanation of the Alteryx platform components with a particular focus on Alteryx Designer, you'll be taken on a tour of what and how you can accomplish by using this tool. Along the way, you'll learn best practices and design patterns. The book also covers real-world examples to help you apply your understanding of the features in Alteryx to practical scenarios.By the end of this book, you'll have enhanced your proficiency with Alteryx Designer and an improved ability to execute tasks within the tool efficiently.What you will learnSpeed up the cleansing, data preparing, and shaping processPerform operations and transformations on the data to suit your needsBlend different types of data sources for analysisPivot and un-pivot the data for easy manipulationPerform aggregations and calculations on the dataEncapsulate reusable logic into macrosDevelop high-quality, data-driven reports to improve consistencyWho this book is forThis book is for data analysts, data professionals, and business intelligence professionals seeking to harness the full potential of the tool. A basic understanding of Alteryx Designer and Alteryx terminology, including macros, apps, and workflows, is all you need to get started with this book.Table of ContentsInput data from filesWorking with databasesData Preparation Data Transformations Data Parsing Grouping DataBlending and Merging dataAggregationsDynamic Operations/ ToolsMacros and AppsDownloads, APIs & Web ServicesDeveloper optionsReporting with AlteryxOutputting Data

Discover over 80 recipes for modeling and handling real-life biological data using modern libraries from the R ecosystemKey Features:Apply modern R packages to process biological data using real-world examplesRepresent biological data with advanced visualizations and workflows suitable for research and publicationsSolve real-world bioinformatics problems such as transcriptomics, genomics, and phylogeneticsPurchase of the print or Kindle book includes a free PDF eBookBook Description:The updated second edition of R Bioinformatics Cookbook takes a recipe-based approach to show you how to conduct practical research and analysis in computational biology with R. You'll learn how to create a useful and modular R working environment, along with loading, cleaning, and analyzing data using the most up-to-date Bioconductor, ggplot2, and tidyverse tools.This book will walk you through the Bioconductor tools necessary for you to understand and carry out protocols in RNA-seq and ChIP-seq, phylogenetics, genomics, gene search, gene annotation, statistical analysis, and sequence analysis. As you advance, you'll find out how to use Quarto to create data-rich reports, presentations, and websites, as well as get a clear understanding of how machine learning techniques can be applied in the bioinformatics domain. The concluding chapters will help you develop proficiency in key skills, such as gene annotation analysis and functional programming in purrr and base R. Finally, you'll discover how to use the latest AI tools, including ChatGPT, to generate, edit, and understand R code and draft workflows for complex analyses.By the end of this book, you'll have gained a solid understanding of the skills and techniques needed to become a bioinformatics specialist and efficiently work with large and complex bioinformatics datasets.What You Will Learn:Set up a working environment for bioinformatics analysis with RImport, clean, and organize bioinformatics data using tidyrCreate publication-quality plots, reports, and presentations using ggplot2 and QuartoAnalyze RNA-seq, ChIP-seq, genomics, and next-generation genetics with BioconductorSearch for genes and proteins by performing phylogenetics and gene annotationApply ML techniques to bioinformatics data using mlr3Streamline programmatic work using iterators and functional tools in the base R and purrr packagesUse ChatGPT to create, annotate, and debug code and workflowsWho this book is for:This book is for bioinformaticians, data analysts, researchers, and R developers who want to address intermediate-to-advanced biological and bioinformatics problems by learning via a recipe-based approach. Working knowledge of the R programming language and basic knowledge of bioinformatics are prerequisites.

Master the art of machine learning by using the one-of-a-kind Qlik platform, and take your data analytics skills to the next levelKey FeaturesGain a solid understanding of machine learning concepts and learn to effectively define a problemExplore the application of machine learning principles within the Qlik platformApply your knowledge of ML to real-world scenarios with the help of practical examplesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThe ability to forecast future trends through data prediction, coupled with the integration of ML and AI, has become indispensable to global enterprises. Qlik, with its extensive machine learning capabilities, stands out as a leading analytics platform enabling businesses to achieve exhaustive comprehension of their data. This book helps you maximize these capabilities by using hands-on illustrations to improve your ability to make data-driven decisions.You'll begin by cultivating an understanding of machine learning concepts and algorithms, and build a foundation that paves the way for subsequent chapters. The book then helps you navigate through the process of framing machine learning challenges and validating model performance. Through the lens of Qlik Sense, you'll explore data preprocessing and analysis techniques, as well as find out how to translate these techniques into pragmatic machine learning solutions. The concluding chapters will help you get to grips with advanced data visualization methods to facilitate a clearer presentation of findings, complemented by an array of real-world instances to bolster your skillset.By the end of this book, you'll have mastered the art of machine learning using Qlik tools and be able to take your data analytics journey to new heights.What you will learnFind out how to build practical machine learning solutions with the Qlik platformDevelop the skills needed to generate and verify machine learning models using the Qlik platformDiscover techniques used for preparing and investigating data to craft machine learning solutionsUnderstand how to transform real-world business problems into machine learning modelsExpand your potential to new use cases with data analyticsExplore advanced visualization techniques to make your models come aliveWho this book is forIf you're interested in data and analytics and are looking to extend your skillset to machine learning, this book is for you. Basic working knowledge of data, preferably with Qlik tools, will help you get started with this book. This is an excellent guide for anyone who wants to start using machine learning as part of their data analytics journey.Table of ContentsIntroduction to Machine Learning with QlikMachine Learning Algorithms and Models with QlikData Literacy in Machine Learning ContextCreating a Good Machine Learning Solution with the Qlik PlatformSetting Up the EnvironmentsPreprocessing and Exploring Data with Qlik SenseDeploying and Monitoring Machine Learning ModelsUtilizing Qlik AutoMLAdvanced Data Visualisation Techniques for Machine Learning SolutionsExamples and Case StudiesFuture Direction

This book focuses on a wide range of breakthroughs related to digital biometrics and forensics.  The authors introduce the concepts, techniques, methods, approaches and trends needed by cybersecurity specialists and educators for keeping current their biometrics and forensics knowledge. Furthermore, the book provides a glimpse of future directions where biometrics and forensics techniques, policies, applications, and theories are headed. Topics include multimodal biometrics, soft biometrics, mobile biometrics, vehicle biometrics, vehicle forensics, integrity verification of digital content, people identification, biometric-based cybercrime investigation, among others. The book is a rich collection of carefully selected and reviewed manuscripts written by diverse digital biometrics and forensics experts in the listed fields and edited by prominent biometrics and forensics researchers and specialists.

Work through practical examples to unlock the full potential of web scraping with Python and gain valuable insights from high-quality dataKey Features:Build an initial portfolio of web scraping projects with detailed explanationsGrasp Python programming fundamentals related to web scraping and data extractionAcquire skills to code web scrapers, store data in desired formats, and employ the data professionallyPurchase of the print or Kindle book includes a free PDF eBookBook Description:Web scraping is a powerful tool for extracting data from the web, but it can be daunting for those without a technical background. Designed for novices, this book will help you grasp the fundamentals of web scraping and Python programming, even if you have no prior experience.Adopting a practical, hands-on approach, this updated edition of Hands-On Web Scraping with Python uses real-world examples and exercises to explain key concepts. Starting with an introduction to web scraping fundamentals and Python programming, you'll cover a range of scraping techniques, including requests, lxml, pyquery, Scrapy, and Beautiful Soup. You'll also get to grips with advanced topics such as secure web handling, web APIs, Selenium for web scraping, PDF extraction, regex, data analysis, EDA reports, visualization, and machine learning.This book emphasizes the importance of learning by doing. Each chapter integrates examples that demonstrate practical techniques and related skills. By the end of this book, you'll be equipped with the skills to extract data from websites, a solid understanding of web scraping and Python programming, and the confidence to use these skills in your projects for analysis, visualization, and information discovery.What You Will Learn:Master web scraping techniques to extract data from real-world websitesImplement popular web scraping libraries such as requests, lxml, Scrapy, and pyqueryDevelop advanced skills in web scraping, APIs, PDF extraction, regex, and machine learningAnalyze and visualize data with Pandas and PlotlyDevelop a practical portfolio to demonstrate your web scraping skillsUnderstand best practices and ethical concerns in web scraping and data extractionWho this book is for:This book is for beginners who want to learn web scraping and data extraction using Python. No prior programming knowledge is required, but a basic understanding of web-related concepts such as websites, browsers, and HTML is assumed. If you enjoy learning by doing and want to build a portfolio of web scraping projects and delve into data-related studies and application, then this book is tailored for your needs.

Build scalable and reliable data ecosystems using Data Mesh, Databricks Spark, and KafkaKey Features:Develop modern data skills used in emerging technologiesLearn pragmatic design methodologies such as Data Mesh and data lakehousesGain a deeper understanding of data governancePurchase of the print or Kindle book includes a free PDF eBookBook Description:Modern Data Architectures with Python will teach you how to seamlessly incorporate your machine learning and data science work streams into your open data platforms. You'll learn how to take your data and create open lakehouses that work with any technology using tried-and-true techniques, including the medallion architecture and Delta Lake.Starting with the fundamentals, this book will help you build pipelines on Databricks, an open data platform, using SQL and Python. You'll gain an understanding of notebooks and applications written in Python using standard software engineering tools such as git, pre-commit, Jenkins, and Github. Next, you'll delve into streaming and batch-based data processing using Apache Spark and Confluent Kafka. As you advance, you'll learn how to deploy your resources using infrastructure as code and how to automate your workflows and code development. Since any data platform's ability to handle and work with AI and ML is a vital component, you'll also explore the basics of ML and how to work with modern MLOps tooling. Finally, you'll get hands-on experience with Apache Spark, one of the key data technologies in today's market.By the end of this book, you'll have amassed a wealth of practical and theoretical knowledge to build, manage, orchestrate, and architect your data ecosystems.What You Will Learn:Understand data patterns including delta architectureDiscover how to increase performance with Spark internalsFind out how to design critical data diagramsExplore MLOps with tools such as AutoML and MLflowGet to grips with building data products in a data meshDiscover data governance and build confidence in your dataIntroduce data visualizations and dashboards into your data practiceWho this book is for:This book is for developers, analytics engineers, and managers looking to further develop a data ecosystem within their organization. While they're not prerequisites, basic knowledge of Python and prior experience with data will help you to read and follow along with the examples.

This book develops survey data analysis tools in Python, to create and analyze cross-tab tables and data visuals, weight data, perform hypothesis tests, and handle special survey questions such as Check-all-that-Apply. In addition, the basics of Bayesian data analysis and its Python implementation are presented. Since surveys are widely used as the primary method to collect data, and ultimately information, on attitudes, interests, and opinions of customers and constituents, these tools are vital for private or public sector policy decisions.As a compact volume, this book uses case studies to illustrate methods of analysis essential for those who work with survey data in either sector. It focuses on two overarching objectives:Demonstrate how to extract actionable, insightful, and useful information from survey data; andIntroduce Python and Pandas for analyzing survey data.

Build, design, and improve advanced business intelligence solutions using Tableau's newest updates, including new Tableau Desktop, Tableau Prep, and Tableau Server featuresPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesMaster new Tableau 2023 features to solve real-world analytics challengesLearn how to use both pre-defined and your own Machine Learning models in TableauHow to manage Data Governance and secure high data qualityBook DescriptionThis edition of the bestselling Tableau guide will teach you how to leverage Tableau's newest features and offerings in various paradigms of the BI domain. Updated with fresh topics, including the newest features in Tableau Server,Prep, and Desktop, as well as up-to-date examples, this book will take you from mastering essential Tableau concepts to advance functionalities. A chapter on data governance has also been added.Throughout this book, you'll learn how to use Tableau Hyper files and Prep Builder to easily perform data preparation and handling, as well as complex joins, spatial joins, unions, and data blending tasks using practical examples. You'll also get to grips with executing data densification and explore other expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions.Later chapters will teach you all about improving dashboard performance, connecting to Tableau Server, and understanding data visualization with examples. Finally, you'll cover advanced use cases, such as self-service analysis, time series analysis, geo-spatial analysis, and how to connect Tableau to Python and R to implement programming functionalities within Tableau.By the end of this book, you'll have mastered Tableau 2023 and be able to tackle common and advanced challenges in the BI domain.What you will learnLearn about various Tableau components, such as calculated fields, table calculations, and LOD expressionsMaster ETL (Extract, Transform, Load) techniques using Tableau Prep BuilderExplore and implement data storytelling with Python and RUnderstand Tableau Exchange by using accelerators, extensions, and connectorsInteract with Tableau Server to understand its functionalitiesStudy advanced visualizations and dashboard creation techniquesBrush up on powerful self-service analytics, time series analytics, and geo-spatial analyticsFind out why data governance matters and how to implement itWho this book is forThis book is designed for business analysts, business intelligence professionals, and data analysts who want to master Tableau to solve a range of data science and business intelligence problems. Prior exposure to Tableau will help you get to grips with the features more quickly, but it's not a prerequisite.Table of ContentsReviewing the BasicsGetting Your Data ReadyUsing Tableau Prep BuilderLearning about Joins, Blends, and Data StructuresIntroducing Table CalculationsUtilizing OData, Data Densification, Big Data, and Google BigQueryPracticing Level of Detail CalculationsGoing Beyond the BasicsWorking with MapsPresenting with TableauDesigning Dashboards and Best Practices for VisualizationsLeveraging Advanced AnalyticsImproving PerformanceExploring Tableau Server and Tableau CloudIntegrating Programming LanguagesDeveloping Data Governance Practices

This open access book explores the role visual tools and graphical models play in safety management. It explains the importance of visualising safety, for teaching concepts, communicating ideas to peers, and raising awareness of potential threats through posters. Visualising Safety, an Exploration introduces graphical models which have been influential in promoting ideas of safety, and impacting the organisational design of safety mechanisms, including the Heinreich ¿safety pyramid¿ and Reason¿s ¿Swiss Cheese¿. It analyses these models, as well as other forms of visualization, presenting viewpoints from academics and practitioners in the fields of safety science, history, ethnography and interface design.This brief will be of interest to anyone working in the field of safety management and design, including researchers, managers and students.

Learn how to use R for everything from workload automation and creating online reports, to interpreting data, map making, and more.Written by the founder of a very popular online training platform for the R programming language!The R programming language is a remarkably powerful tool for data analysis and visualization, but its steep learning curve can be intimidating for some. If you just want to automate repetitive tasks or visualize your data, without the need for complex math, R for the Rest of Us is for you.Inside you’ll find a crash course in R, a quick tour of the RStudio programming environment, and a collection of real-word applications that you can put to use right away. You’ll learn how to create informative visualizations, streamline report generation, and develop interactive websites—whether you’re a seasoned R user or have never written a line of R code.You’ll also learn how to:• Manipulate, clean, and parse your data with tidyverse packages like dplyr and tidyr to make data science operations more user-friendly• Create stunning and customized plots, graphs, and charts with ggplot2 to effectively communicate your data insights• Import geospatial data and write code to produce visually appealing maps automatically• Generate dynamic reports, presentations, and interactive websites with R Markdown and Quarto that seamlessly integrate code, text, and graphics• Develop custom functions and packages tailored to your specific needs, allowing you to extend R’s functionality and automate complex tasksUnlock a treasure trove of techniques to transform the way you work. With R for the Rest of Us, you’ll discover the power of R to get stuff done. No advanced statistics degree required.

Learn to use ArcGIS Pro confidently, quickly, and effectively with the newest edition in this best-selling series. Getting to Know ArcGIS Pro 3.2 introduces readers to ArcGIS Pro, the world's most powerful desktop GIS. Getting to Know ArcGIS Pro 3.2 walks readers through how to build a geodatabase, discover 3D GIS, create maps for web and physical presentations, and more. With more than 300 full-color images, Getting to Know ArcGIS Pro 3.2 clarifies complicated processes such as developing a geoprocessing model, using Python to write a script tool, and creating space-time cubes for analysis in easy-to-follow workflows. This edition has been completely updated for use with ArcGIS Pro 3.2.Michael Law is a cartographer and GIS professional with more than 16 years of experience. He lives in Toronto, Canada. Amy Collins is a writer and editor who lives in Northern California.

No matter what electronic tools you take into the field, everyone takes a notebook or a guidebook. Along with all your equipment, be sure to include this fieldwork guide.   Fieldwork Handbook gives you tips, best practices, and activities that make your work in the field more productive and successful. No matter how you use location intelligence in the field, you can up your game with this book and improve your experience. Covering preparation, equipment, workflows, and data, this book will show you how to Organize and reconcile field dataEffectively coordinate and dispatch field resourcesRefine fieldwork workflowsSync the office with the fieldThis handbook is your friend in the field.

Are you a reasonably competent Power BI user but still struggling to generate reports that truly tell the story of your data? Or do you simply want to extend your knowledge of Power BI by exploring more complex areas of visualizations, data modelling, DAX, and Power Query? If so, this book is for you. This book serves as a comprehensive resource for users to implement more challenging visuals, build better data models, use DAX with more confidence, and execute more complex queries so they can find and share important insights into their data. The contents of the chapters are in a question-and-answer format that explore everyday data analysis scenarios in Power BI. These questions have been generated from the author¿s own client base and from commonly sought-for information from the Power BI community. They cover a wide and diverse range of topics that many Power BI users often struggle to get to grips with or don¿t fully understand. Examples of suchquestions are:How can I generate dynamic titles for visuals?How can I control subtotals in a Matrix visual?Why do I need a date dimension?How can I show the previous N month¿s sales in a column chart?Why do I need a Star Schema?Why aren't my totals correct?How can I bin measures into numeric ranges?Can I import a Word document?Can I dynamically append data from different source files?Solutions to these questions and many more are presented in non-technical and easy-to-follow explanations negating the requirement to perform tiresome and fruitless ¿google¿ searches. There are also companion Power BI Desktop files that set out the answers to each question so you can follow along with the examples given in the book..After working through this book, you will have extended your knowledge of Power BI to an expert level, alleviating your existing frustrations and so enabling you to design Power BI reports where you are no longer limited by your lack of knowledge or experience.Who is This Book For: Power BI users who can build reports and now want to extend their knowledge of Power BI.

This methodology utilizes the principle of optimistic mindset and incorporates the utilization of all sensory faculties - visual perception, auditory perception, tactile perception, gustatory perception, and olfactory perception. It serves as a potent instrument which effectively conveys an individual's self-assurance and exerts a profound influence on their personal disposition as well as on the surrounding milieu.Achieving significant accomplishments is a challenging endeavor, and a considerable advantage can be gained by understanding the methods to align one's mind in support of one's goals. The brain operates as a proficient problem-solver, wherein providing explicit instructions regarding your intentions would effectively streamline the process of achieving your objectives. By doing so, the brain would aptly guide you towards undertaking the requisite actions essential for actualizing those goals.Selling an architectural design can prove challenging unless accompanied by at least a visual representation. Given the paramount importance of architectural visualization in bolstering the marketing efficacy of your project, individuals of distinguished caliber such as developers, architects, interior designers, or home builders would significantly enhance their expertise by acquainting themselves with this integral facet of the design process.

Individuals make attempts to cultivate positivity at various stages of their existence. Instances of crashes and software defects are reasonably tolerable, particularly in situations wherein one lacks a proactive support network. I find it incredibly challenging to overcome this.Creative visualization, functioning as a cognitive method, likewise amplifies an individual's inclination and dedication towards the attainment of their goals. Due to the fact that creative visualization instills a favorable and optimistic perception of accomplishment, individuals who engage in this technique often encounter a profound feeling of personal empowerment. It instills an individual with the necessary self-assurance to undertake the necessary measures for the attainment of his objectives.It is evident that a considerable number of accomplished individuals in contemporary times attain success as a direct result of their unwavering enthusiasm and conviction in their capabilities. Successful individuals predominantly possess an optimistic outlook and exhibit unwavering determination in their relentless pursuit of their objectives.

Have you ever desired the ability to metamorphose into an improved individual or an enhanced version of yourself? Have you ever pondered the existence of individuals in the world who appear to be invincible or beyond reach? Have you ever pondered the reasons behind why certain individuals attract specific qualities in life that appear unattainable for you to achieve?You have the ability to overcome these challenging circumstances and direct your attention towards the various facets of your desired self. Regardless of the number of mistakes we have made, each one of us has the ability to attain our goals. The crucial aspect lies in maintaining one's trajectory and acquiring knowledge about the most effective and ineffective approaches. The Guide for Novices provides comprehensive instructions!Creative visualization techniques harness the cognitive faculties of the human mind. An aspect of its functionality lies in empowering individuals to triumph over and eradicate their dread of failure. The apprehension associated with potential failure hinders individuals from exerting their utmost efforts and impedes their ability to demonstrate resolute determination in pursuit of their objectives. An individual's potential for success is often hindered by their fears, resulting in a lack of exceptional achievement and rather an average and risk-averse performance. Creative visualization eliminates the possibility of mediocrity, as it grants individuals the chance to envision their success by meticulously visualizing the intricacies of their plans and endeavors.