Information visualization
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The concept Information visualization represents the subject, aboutness, idea or notion of resources found in San Francisco Public Library.
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Information visualization
Resource Information
The concept Information visualization represents the subject, aboutness, idea or notion of resources found in San Francisco Public Library.
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- Information visualization
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- #MakeoverMonday : Improving How We Visualize and Analyze Data, One Chart at a Time
- #MakeoverMonday : improving how we visualize and analyze data, one chart at a time
- 30 zhang tu du dong tai kong : zhi shi hua fan wei jian deInfographic, 3-60 sui yi du jiu dong
- A Gentle Introduction to Statistics Using SAS Studio in the Cloud
- A Gentle Introduction to Statistics using SAS Studio
- A librarian's guide to graphs, data and the Semantic Web
- Actionable Insights with Amazon QuickSight : Develop Stunning Data Visualizations and Machine Learning-Driven Insights with Amazon QuickSight
- Advanced Jupyter Notebook development : deployment and customization of notebooks, tmpnb, nbviewer and JupyterHub
- Advanced R statistical programming and data models : analysis, machine learning, and visualization
- Advanced analytics in power BI with R and Python : ingesting, transforming, visualizing
- Advanced analytics in power BI with R and Python : ingesting, transforming, visualizing
- An introduction to SAS Visual Analytics : how to explore numbers, design reports, and gain insight into your data
- An introduction to SAS Visual Analytics : how to explore numbers, design reports, and gain insight into your data
- An introduction to d3.js : from scattered to scatterplot
- Analytics for the Internet of Things (IoT) : intelligent analytics for your intelligent devices
- Animal facts by the numbers : a book of infographics
- AnySurface : bringing agent-based simulation and data visualization to all surfaces
- Apache Spark deep learning cookbook : over 80 recipes that streamline deep learning in a distributed environment with Apache Spark
- Applied analytics through case studies using SAS and R : implementing predictive models and machine learning techniques
- Applied business analytics : integrating business process, big data, and advanced analytics
- Applied concept mapping : capturing, analyzing, and organizing knowledge
- Applied data science with Python and Jupyter
- Applied data visualization with R and ggplot2
- Applied data visualization with R and ggplot2 : Create useful, elaborate, and visually appealing plots
- Applied security visualization
- Apply ML to knowledge graphs using Neo4j
- Architecting for access : simplifying analytics on big data infrastructure
- Avoiding data pitfalls : how to steer clear of common blunders when working with data and presenting analysis and visualizations
- Beautiful visualization : [looking at data through the eyes of experts]
- Beautiful visualization : [looking at data through the eyes of experts]
- Beginning Google Maps mashups with mapplets, KML and GeoRSS : from novice to professional
- Beginning MATLAB and Simulink : from novice to professional
- Beginning data analysis with Python and Jupyter : use powerful industry-standard tools to unlock new, actionable insight from your existing data
- Beginning data science with Python and Jupyter
- Better data visualizations : a guide for scholars, researchers, and wonks
- Beyond visualization : productivity, complexity, and information overload
- Big data analytics with Hadoop 3 : build highly effective analytics solutions to gain valuable insight into your big data
- Big data visualization : learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualization
- Building responsive data visualization for the Web
- Can data science help us find what makes a hit television show
- Collaborative exploration of scientific datasets using immersive and statistical visualization
- ColorWise : a data storyteller's guide to the intentional use of color
- Colorwise : a data storyteller's guide to the intentional use of color
- Communicating with data : making your case with data
- Cool infographics : effective communication with data visualization and design
- Cool infographics : effective communication with data visualization and design
- Cool infographics : effective communication with data visualization and design
- Create Web charts with D3
- Creating a data-driven enterprise with DataOps : insights from Facebook, Uber, LinkedIn, Twitter, and eBay
- Creating data stories with Tableau Public : illustrate your data in a more interactive and interesting way using Tableau Public
- Creating maps, charts, and infographics with Adobe Illustrator : learn by video
- D3 and CoffeeScript
- Dashboards for Excel
- Data analysis with Pandas and Python
- Data analytics in sports : how playing with data transforms the game
- Data at work : best practices for creating effective charts and information graphics in Microsoft Excel
- Data fluency : empowering your organization with effective data communication
- Data fluency : empowering your organization with effective data communication
- Data fluency : empowering your organization with effective data communication
- Data insights : new ways to visualize and make sense of data
- Data insights : new ways to visualize and make sense of data
- Data points : visualization that means something
- Data points : visualization that means something
- Data points : visualization that means something
- Data preparation in the big data era : best practices for data integration
- Data science and big data analytics : discovering, analyzing, visualizing and presenting data
- Data science for dummies
- Data science for marketing analytics
- Data science projects with Python : a case study approach to successful data science projects using Python, pandas, and scikcit-learn
- Data science with Python : combine Python with machine learning principles to discover hidden patterns in raw data
- Data science with Python : combine Python with machine learning principles to discover hidden patterns in raw data
- Data science with Python and Dask
- Data sketches
- Data translations to support the Battlespace Terrain Ownership Project
- Data visualization : a successful design process : a structured design approach to equip you with the knowledge of how to successfully accomplish any data visualization challenge efficiently and effectively
- Data visualization : principles and practice
- Data visualization : representing information on modern web : unleash the power of data by creating interactive, engaging, and compelling visualizations for the web : a course in three modules
- Data visualization : ultimate guide to data mining and visualization
- Data visualization basics with Python : tips, techniques, and best practices for effective chart visualizations with matplotlib
- Data visualization for dummies
- Data visualization in R with ggplot2 : creating effective and attractive data visualizations
- Data visualization in Stata
- Data visualization in society
- Data visualization with D3 and AngularJS : build dynamic and interactive visualizations from real-world data with D3 on AngularJS
- Data visualization with Flash builder : designing RIA and AIR applications with remote data sources
- Data visualization with Python and JavaScript : scrape, clean, explore & transform your data
- Data visualization with Python and JavaScript : scrape, clean, explore & transform your data
- Data visualization with Python and JavaScript : scrape, clean, explore and transform your data
- Data visualization with Python for beginners : visualize your data using Pandas, Matplotlib and Seaborn
- Data visualization with Tableau
- Data wrangling with Python : creating actionable data from raw sources
- Data-driven healthcare : how analytics and BI are transforming the industry
- Data-driven security : analysis, visualization and dashboards
- Data-driven security : analysis, visualization, and dashboards
- Datenvisualisierung - Grundlagen und Praxis : wie Sie aussagekräftige Diagramme und Grafiken gestalten
- Dear data
- Dear data
- Deep learning for strategic decision makers : understanding deep learning and how it produces business value
- Delivering embedded analytics in modern applications : a product manager's guide to integrating contextual analytics
- Design for information : an introduction to the histories, theories, and best practices behind effective information visualizations
- Design for information : an introduction to the histories, theories, and best practices behind effective information visualizations
- Designing data visualizations
- Designing for mixed reality : blending data, AR, and the physical world
- Designing with data : improving the user experience with A/B testing
- Designing with data : improving the user experience with A/B testing
- Development workflows for data scientists
- Discovering JMP 11
- Discovering JMP 11
- Discovering JMP 12
- Discovering JMP 13
- Doing data science
- Don't make them guess : how to improve your architectural visualizations
- Duo mo xing si wei : tian cai de 32 ge si kao ce lue
- Effective data storytelling : how to drive change with data, narrative, and visuals
- Effective data visualization : from design fundamentals to big data techniques
- Effective data visualization : the right chart for the right data
- Elasticsearch 7 quick start guide : get up and running with the distributed search and analytics capabilities of Elasticsearch
- Engaging audiences with data visualization
- Enhance recommendations in Uber Eats with graph convolutional networks
- Exam ref 70-779 analyzing and visualizing data with Microsoft Excel
- Extending post-processing and run time capabilities of the CTH shock physics code
- Fan bei xiao lu gong zuo shu : bu hui jiu tai ke xi de Excel+Power Bi da shu ju shi jiao tu biao she ji yu fen xi
- Flash builder @ work : building user interactions
- Flash builder @ work : charting and multimedia
- Flash builder @ work : customizing the user interface
- Flash builder @ work : your first information-rich application
- Food & drink infographics
- From zero to distributed traces : an OpenTracing tutorial
- Functional aesthetics for data visualization
- Fundamentals of Programming in SAS : A Case Studies Approach
- Fundamentals of data visualization : a primer on making informative and compelling figures
- Fundamentals of data visualization : a primer on making informative and compelling figures
- GPU-based interactive visualization techniques
- Generative adversarial networks cookbook : over 100 recipes to build generative models using Python, TensorFlow, and Keras
- Getting Started with SAS Programming : Using SAS Studio in the Cloud
- Getting started with Grafana : real-time dashboards for IT and business operations
- Getting started with Haskell data analysis : put your data analysis techniques to work and generate publication-ready visualizations
- Getting started with the Neo4j GraphQL library
- Google Data Studio for beginners : start making your data actionable
- Graph analysis and visualization : discovering business opportunity in linked data
- Graph-based clustering and data visualization algorithms
- Graphesis : visual forms of knowledge production
- Graphic recording : live illustrations for meetings, conferences and workshops
- Graphical data analysis with R
- Graphing data with R : an introduction
- HBR guide to data analytics basics for managers
- Hands on with Google Data Studio : a data citizen's survival guide
- Hands-on Matplotlib : learn 3D plotting, visualizations, and animations with Python 3
- Hands-on Python for finance
- Hands-on business intelligence with DAX : discover the intricacies of this powerful query language to gain valuable insights from your data
- Hands-on business intelligence with Qlik Sense : implement self-service data analytics with insights and guidance from Qlik Sense experts
- Hands-on computer vision with Julia : build complex applications with advanced Julia packages for image processing, neural networks, and artificial intelligence
- Hands-on data analysis with NumPy and Pandas : implement Python packages from data manipulation to processing
- Hands-on data analysis with NumPy and Pandas : implement Python packages from data manipulation to processing
- Hands-on data science with Anaconda : utilize the right mix of tools to create high-performance data science applications
- Hands-on data visualization : interactive storytelling from spreadsheets to code
- Hands-on data visualization with Bokeh : interactive web plotting for Python using Bokeh
- Hands-on deep learning with Apache Spark : build and deploy distributed deep learning applications on Apache Spark
- High impact data visualization with Power View, Power Map, and Power BI
- High impact data visualization with Power View, Power Map, and Power BI
- How Charts Work : Understand and Explain Data with Confidence
- How charts lie : getting smarter about visual information
- How charts lie : getting smarter about visual information
- How to start Neo4j and load files
- How to talk about data : a visual guide to data fluency
- I am a book. I am a portal to the universe
- IBM Power Systems Enterprise AI solutions
- IPython interactive computing and visualization cookbook : over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook
- IPython interactive computing and visualization cookbook : over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook
- IPython interactive computing and visualization cookbook : over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science with Python
- Implementing Qlik Sense : design, develop, and validate BI solutions for consultants
- Implementing Splunk : big data reporting and development for operational intelligence : learn to transform your machine data into valuable IT and business insights with this comprehensive and practical tutorial
- Industrialization in infographics
- Info We Trust : How to Inspire the World with Data
- Info we trust : how to inspire the world with data
- Info we trust : how to inspire the world with data
- Info we trust : how to inspire the world with data
- Infographic guide to music
- Infographics : the power of visual storytelling
- Infographics For Dummies
- Infographics for dummies
- Infographics for dummies
- Infographics powered by SAS : data visualization techniques for business reporting
- Infographics powered by SAS : data visualization techniques for business reporting
- Information visualization : perception for design
- Information visualization : perception for design, third edition
- Insects : by the numbers
- Insightful data visualization with SAS® Viya®
- Integrating D3.js with React : learn to bring data visualization to life
- Interactive Reports in SAS Visual Analytics : Advanced Features and Customization
- Interactive Reports in SAS Visual Analytics : Advanced Features and Customization
- Interactive data visualization for the web : an introduction to designing with D3
- Interaktywna wizualizacja danych
- Intro to Pandas : Pragmatic AI Labs course
- Introduction to D3.js : demystifying the challenges
- Introduction to Shiny : learn how to build interactive web apps with R, Shiny, and reactive programming
- Introduction to business analytics
- Introduction to data science with R : manipulating, visualizing, and modeling data with the R language
- Introduction to data visualization with R and ggplot2
- Invasive species in infographics
- JMP 11 profilers
- JMP 11 profilers
- JMP 13 Multivariate Methods, Second Edition
- JMP 13 basic analysis
- JMP 13 consumer research
- JMP 13 design of experiments guide
- JMP : version 12 : discovering JMP
- JMP version 12 : consumer research
- JMP version 12 : profilers
- JMP version 12 : quality and process methods
- JMP version 12 : using JMP
- JMP version 13 consumer research
- JMP version 13 design of experiments guide
- JMP version 13 profilers
- JMP version 13 profilers
- Java data analysis : data mining, big data analysis, NoSQL, and data visualization
- JavaScript and jQuery for data analysis and visualization
- JavaScript and jQuery for data analysis and visualization
- Julia for data science : explore the world of data science from scratch with Julia by your side
- Jupyter Notebook for data science
- Jupyter cookbook : over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more
- Kibana 7 quick start guide : visualize your Elasticsearch data with ease
- Kibana essentials : use the functionalities of Kibana to reveal insights from the data and build attractive visualizations and dashboards for real-world scenarios
- LE PETIT MANUEL DES SOLUTIONS VISUELLES : 60 DIAGRAMMES POUR RESOUDRE TOUS VOS PROBLEMES
- Leaders and innovators : how data-driven organizations are winning with analytics
- Leaders and innovators : how data-driven organizations are winning with analytics
- Learn Chart.js : create interactive visualizations for the Web with Chart.js 2
- Learn JavaScript with p5.js : coding for visual learners
- Learn Qlik Sense dashboard development
- Learn R programming
- Learn how to use Alteryx and Tableau to quickly blend data and gain insights through visualization
- Learning D3.js 4 mapping : build cutting-edge maps and visualizations with JavaScript
- Learning ELK stack : build mesmerizing visualizations, and analytics from your logs and data using Elasticsearch, Logstash, and Kibana
- Learning Elastic Stack 6.0 : a beginner's guide to distributed search, analytics, and visualization using Elasticsearch, Logstash, and Kibana
- Learning Elastic Stack 7.0 : distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana
- Learning IPython for interactive computing and data visualization : get started with Python for data analysis and numerical computing in the Jupyter notebook
- Learning Jupyter 5 : explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab
- Learning Jupyter : learn how to write code, mathematics, graphics, and output, all in a single document as well as in a web browser using Project Jupyter
- Learning Kibana 5.0 : exploit the visualization capabilities of Kibana and build powerful interactive dashboards
- Learning Microsoft Power BI : transforming data into insights
- Learning Python for data science
- Learning Qlik Sense : the official guide : get the most out of your Qlik Sense investment with the latest insight and guidance direct from the Qlik Sense team
- Learning Responsive Data Visualization
- Learning SAP Analytics Cloud : discover, plan, predict, collaborate, visualize, and extend all in one solution
- Learning Tableau 10 - Second Edition
- Learning Tableau 10.x
- Learning Tableau 2019 : tools for business intelligence, data prep, and visual analytics
- Learning Tableau 2020 : create effective data visualizations, build interactive visual analytics, and transform your organization
- Learning Tableau 2022 : create effective data visualizations, build interactive visual analytics, and transform your organization
- Learning Tableau : leverage the power of Tableau 9.0 to design rich data visualizations and build fully interactive dashboards
- Living in data : a citizen's guide to a better information
- Living in data : a citizen's guide to a better information future
- Machine learning concepts with Python and the Jupyter Notebook environment : using Tensorflow 2.0
- Machine learning with the Elastic Stack : expert techniques to integrate machine learning with distributed search and analytics
- Making Numbers Count : The Art and Science of Communicating Numbers
- Making data visual : a practical guide to using visualization for insight
- Making numbers count : the art and science of communicating numbers
- Making sense of data : a practical guide to data visualization, advanced data mining methods, and applications, II, A practical guide to data visualization, advanced data mining methods, and applications
- Making sense of data II : a practical guide to data visualization, advanced data mining methods, and applications
- Making sense of data, III, A practical guide to designing interactive data visualizations
- Managing and Visualizing Your BIM Data : Understand the Fundamentals of Computer Science for Data Visualization Using Autodesk Dynamo, Revit, and Microsoft Power BI
- Mapowanie wrażeń : kreowanie wartości przy pomocy ścieżek klienta, schematów usług i diagramów
- Mapping experiences : a guide to creating value through journeys, blueprints and diagrams
- Mastering IPython 4.0 : get to grips with the advanced concepts of interactive computing to make the most out of IPython
- Mastering Kibana 6.x : visualize your Elastic Stack data with histograms, maps, charts, and graphs
- Mastering Matplotlib 2.x : effective data visualization techniques with Python
- Mastering Python data visualization : generate effective results in a variety of visually appealing charts using the plotting packages in Python
- Mastering Qlik Sense
- Mastering Qlik Sense : expert techniques on self-service data analytics to create enterprise ready business intelligence solutions
- Mastering QlikView : unleash the power of QlikView and Qlik Sense to make optimum use of data for business intelligence
- Mastering QlikView data visualization : take your QlikView skills to the next level and master the art of creating visual data analysis for real business needs
- Mastering data analysis with R : gain clear insights into your data and solve real-world data science problems with R--from data munging to modeling and visualization
- Mastering data visualization with Microsoft Visio Professional 2016 : master the art of presenting information visually using Microsoft Visio Professional 2016 and Visio Pro for Office365
- Matplotlib 2.x by example : multi-dimensional charts, graphs, and plots
- Matplotlib 2.x cookbook : over 100 recipes to create highly detailed interactive visualizations in Python
- Matplotlib 3.0 Cookbook
- Matplotlib for Python developers : effective techniques for data visualization with Python
- Matplotlib for developers : data visualization and analysis with Python
- Microstories and presentations
- Modern big data processing with Hadoop : expert techniques for architecting end-to-end big data solutions to get valuable insights
- Modern data visualization with R
- Moving to Responsive Web Design : Bring Existing Static Sites into Today's Multi-Device World with Responsive Web Design
- NETWORK SCIENCE WITH PYTHON : explore the networks around us using network science, social network analysis, and machine learning
- Network Science with Python and NetworkX Quick Start Guide : Explore and Visualize Network Data Effectively
- Network science with Python and NetworkX quick start guide : explore and visualize network data effectively
- Numerical computing with Python : harness the power of Python to analyze and find hidden patterns in the data
- O'Reilly Strata Conference : making data work
- Pandas cookbook : recipes for scientific computing, time series analysis and data visualization using Python
- Playful data : graphic design and illustration for infographics
- Pollution in infographics
- PolyBase revealed : data virtualization with SQL server, Hadoop, Apache Spark, and beyond
- Power BI data visualization with purpose : communicating through color, shape, and layout
- Practical App Development with Aurelia : Leverage the Power of Aurelia to Build Personal and Business Applications
- Practical D3.js
- Practical Highcharts with Angular : your essential guide to creating real-time dashboards
- Practical Python data visualization : a fast track approach to learning data visualization with Python
- Practical data analysis using Jupyter Notebook : learn how to speak the language of data by extracting useful and actionable insights using Python
- Practical data analysis with JMP
- Practical data science with Jupyter : explore data cleaning, pre-processing, data wrangling, feature engineering and machine learning using Python and Jupyter
- Praxisbuch Infografik : Informationen visualisieren, Daten präzise darstellen, Gängige Fehler vermeiden
- Prepare Your Data for Tableau : A Practical Guide to the Tableau Data Prep Tool
- Prepare your data for Tableau : a practical guide to the tableau data prep tool
- Presenting data effectively : communicating your findings for maximum impact
- Principles of design diagramming
- Pro Tableau : A Step-by-Step Guide
- Pro Tableau : a step-by-step guide
- Pro data visualization using R and JavaScript
- Pro data visualization using R and JavaScript
- Pro data visualization using R and JavaScript : analyze and visualize key data on the web
- Programming skills for data science : start writing code to wrangle, analyze, and visualize data with R
- Programming with data : Python and Pandas : LiveLessons
- Python : advanced predictive analytics : gain practical insights by exploiting data in your business to build advanced predictive modeling applications
- Python : data analytics and visualization : understand, evaluate, visualize data
- Python : end-to-end data analysis : leverage the power of Python to clean, scrape, analyze, and visualize your data : a course in three modules
- Python data science essentials : a practitioner's guide covering essential data science principles, tools, and techniques
- Python data science essentials : become an efficient data science practitioner by understanding Python's key concepts
- Python data visualization cookbook : over 70 recipes, based on the principal concepts of data visualization, to get you started with popular Python libraries
- Python interactive dashboards with Plotly Dash
- Python, SQL, Tableau : integrating Python, SQL, and Tableau
- Qlik Sense cookbook : over 80 recipes on data analytics to solve business intelligence challenges
- Qlik sense : advanced data visualization for your organization : learning path : create smart data visualizations and predictive analytics solutions
- QlikView your business : an expert guide to business discovery with QlikView and Qlik Sense
- QlikView, advanced data visualization : discover deeper insights with QlikView by building your own rich analytical applications from scratch
- R : data analysis and visualization : a course in five modules
- R data visualization recipes : a cookbook with 65+ data visualization recipes for smarter decision-making
- R data visualization recipes : a cookbook with 65+ data visualization recipes for smarter decision-making
- R graphics cookbook
- R programming fundamentals
- R programming fundamentals : deal with data using various modeling techniques
- Rapid techniques for mapping experiences
- Redash v5 quick start guide : create and share interactive dashboards using Redash
- Responsive Web Design, Second Edition
- SAS 9.2 language reference : dictionary
- SAS Graphics for Clinical Trials by Example
- SAS Visual Analytics for SAS Viya
- SAS Visual Analytics for SAS Viya
- SAS programming and data visualization techniques : a power user's guide
- SAS programming and data visualization techniques : a power user's guide
- SAS visual analytics 6.1 : getting started with exploration and reporting
- STEP file analyzer user's guide (version 2)
- Scala data analysis cookbook : navigate the world of data analysis, visualization, and machine learning with over 100 hands-on Scala recipes
- Scaling data science for the Industrial Internet of Things : advanced analytics in real time
- Seeing science : the art of making the invisible visible
- Seeing with fresh eyes : meaning, space, data, truth
- Self-service analytics : making the most of data access
- Semiology of graphics : diagrams, networks, maps
- Shu ju ke xue zhi bian cheng ji shu : shi yong R jin xing shu ju qing li, fen xi yu ke shi hua
- Simulation for data science with R : harness actionable insights from your data with computational statistics and simulations using R
- Statistics for biomedical engineers and scientists : how to visualize and analyze data
- Stories that move mountains : storytelling and visual design for persuasive presentations
- Storytelling with Data : Let's Practice!
- Storytelling with data : a data visualization guide for business professionals
- Storytelling with data : a data visualization guide for business professionals
- Storytelling with data : a data visualization guide for business professionals
- Strata Data & AI Superstream Series-Data Analytics : From Collection to Visualization
- Structure perception in 3D point clouds : preprint
- Supercharging Elasticsearch for extended Knowledge Graph use cases
- TIBCO spotfire--a comprehensive planner : create innovative enterprise-class informatics solutions using TIBCO Spotfire
- Tableau 10 complete reference : transform your business with rich data visualizations and interactive dashboards with Tableau 10
- Tableau 2019.1 for data scientists
- Tableau : creating interactive data visualizations : illustrate your data in a more interactive way by implementing data visualization principles and creating visual stories using Tableau : a course in three modules
- Tableau : first steps
- Tableau : next steps
- Tableau for Dummies
- Tableau tips, tricks, and techniques
- Taking graph applications to production
- Telling great data stories online
- The Designer's Guide to Presenting Numbers, Figures, and Charts
- The KML handbook : geographic visualization for the Web
- The Practitioner's Guide to Graph Data
- The best American infographics, 2013
- The big picture : how to use data visualization to make better decisions--faster
- The big picture : how to use data visualization to make better decisions--faster
- The craft of information visualization : readings and reflections
- The data analysis workshop : solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way
- The data visualization lifecycle
- The functional art : an introduction to information graphics and visualization
- The infographic : a history of data graphics in news and communications
- The model thinker : what you need to know to make data work for you
- The power of data storytelling
- The power of infographics : using pictures to communicate and connect with your audiences
- The practitioner's guide to graph data : applying graph thinking and graph technologies to solve complex problems
- The security data lake : leveraging big data technologies to build a common data repository for security
- The state of data analytics and visualization adoption
- The truthful art : data, charts, and maps for communication
- The truthful art : data, charts, and maps for communication
- The visual organization : data visualization, big data, and the quest for better decisions
- The visual organization : data visualization, big data, and the quest for better decisions
- This is service design methods : a companion to this is Service design doing
- US geography through infographics
- Ultimate tableau desktop course : beginner to advanced bundle
- Un diario visual : aprende a dibujar la información de tu vida cotidiana
- Understanding data visualizations
- Unlocking financial data : a practical guide to technology for equity and fixed income analysts
- Unlocking financial data : a practical guide to technology for equity and fixed income analysts
- Use Matplotlib to create informative 2D visualizations
- Using JMP 13
- Using every pixel to visualize big data
- Visual Data Insights Using SAS ODS Graphics : a Guide to Communication-Effective Data Visualization
- Visual analytics fundamentals
- Visual computing for medicine : theory, algorithms, and applications
- Visual data mining : the VisMiner approach
- Visual data mining : the VisMiner approach
- Visual data storytelling with Tableau
- Visual design of GraphQL data : a practical introduction with legacy data and Neo4j
- Visual insights : a practical guide to making sense of data
- Visual intelligence : Microsoft tools and techniques for visualizing data
- Visual storytelling with D3 : an introduction to data visualization in JavaScript
- Visualization analysis & design
- Visualizing Data in R 4 : Graphics Using the Base, Graphics, Stats, and ggplot2 Packages
- Visualizing categorical data
- Visualizing climate change risk and adaptation options for California : Cal-Adapt : final project report
- Visualizing climate-related risks to the electricity sector using Cal-Adapt : final project report
- Visualizing data in R 4 : graphics using the base, graphics, stats, and ggplot2 packages
- Visualizing financial data
- Visualizing railroad operations : a tool for planning and monitoring railroad traffic
- Visualizing railroad operations : a tool for planning and monitoring railroad traffic
- W.E.B. Du Bois's data portraits : visualizing Black America : the color line at the turn of the twentieth century
- W.E.B. Du Bois's data portraits : visualizing Black America : the color line at the turn of the twentieth century
- W.E.B. Du Bois's data portraits : visualizing Black America : the color line at the turn of the twentieth century
- World Geography through Infographics
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.sfpl.org/resource/Jv8KgA4iPgU/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.sfpl.org/resource/Jv8KgA4iPgU/">Information visualization</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.sfpl.org/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="https://link.sfpl.org/">San Francisco Public Library</a></span></span></span></span></div>
