Information visualization
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The concept Information visualization represents the subject, aboutness, idea or notion of resources found in University of Missouri Libraries.
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Information visualization
Resource Information
The concept Information visualization represents the subject, aboutness, idea or notion of resources found in University of Missouri Libraries.
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- Information visualization
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- http://id.worldcat.org/fast/00973185
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- fast
427 Items that share the Concept Information visualization
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- #MakeoverMonday : improving how we visualize and analyze data, one chart at a time
- 11th [IEEE] International Conference Information Visualization : IV 2007 : [proceedings] : 4-6 July 2007, Zurich, Switzerland
- 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization, WSOM+ 2017 : Nancy, France, June 28-30, 2017 : proceedings
- 16th International Conference Information on Visualisation (IV 2012) : Montpellier, France, 11-13 July 2012
- 1998 IEEE Conference on Information Visualization : an International Conference on Computer Visualization & Graphics : proceedings, July 29-31, 1998, London, England
- 1st IEEE Symposium on Large-Scale Data Analysis and Visualization 2011 : proceedings, Providence, Rhode Island, USA, October 23-24, 2011
- 2008 Ultrascale Visualization Workshop : November 16, 2008, Austin, TX
- 2009 Fourth International Workshop on Requirements Engineering Visualization (REV '09)
- 2009 IEEE Workshop on Computational Intelligence for Visual Intelligence (CIVI 2009) proceedings : March 30-April 2, 2009, Sheraton Music City Hotel, Nashville, TN, USA
- 2010 2nd International Conference on Modeling, Simulation, and Visualization Methods : WMSVM 2010 : 15-16 May 2010 : Sanya, China
- 2011 7th Iranian Conference on Machine Vision and Image Processing : proceedings, Tehran, Iran, 16-17 November 2011
- 2011 IEEE Symposium on Biological Data Visualization
- 2011 IEEE Workshop on Computational Intelligence for Visual Intelligence
- 2011 Irish Machine Vision and Image Processing Conference : proceedings, IMVIP 2011, 8-9 September, 2011, Dublin, Ireland
- 2012 IEEE Pacific Visualization Symposium
- 2012 International Conference on Machine Vision and Image Processing (MVIP) : 14th and 15th December 2012
- 2013 17th International Conference on Information Visualisation
- 2013 17th International Conference on Information Visualisation : IV 2013 : 16-18 July 2013 London, United Kingdom
- 2013 8th Iranian Conference on Machine Vision and Image Processing (MVIP)
- 2013 IEEE Pacific Visualization Symposium (PacificVis)
- 2014 IEEE Conference on Visual Analytics Science and Technology : proceedings : Paris, France, 9-14 October 2014
- 2014 IEEE Pacific Visualization Symposium (PacificVis)
- 2015 IEEE Conference on Visual Analytics Science and Technology : proceedings : Chicago, Illinois, USA, 25-30 October 2015
- 2015 IEEE Pacific Visualization Symposium (PacificVis) : proceedings : Hangzhou, China, 14-17 April 2015
- 2015 IEEE Scientific Visualization Conference : proceedings : Chicago, Illinois, USA, 25-30 October 2015
- 2015 IEEE Symposium on Visualization for Cyber Security (VizSec)
- 2016 20th International Conference Information Visualisation : IV 2016 : proceedings : Lisbon, Portugal, 19-22 July 2016
- 2016 Fourth International Conference on 3D Vision : 3DV 2016 : proceedings : 25-28 October 2016, Stanford, California, USA
- 2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP)
- 2016 IEEE Conference on Visual Analytics Science and Technology : proceedings : Baltimore, Maryland, USA, 23-28 October 2016
- 2016 IEEE Pacific Visualization Symposium (PacificVis) : proceedings : Taipei, Taiwan, 19-22 April, 2016
- 2016 International Conference on Big Data and Smart Computing (BigComp) : 18-20 Jan. 2016
- 2016 International Conference on Virtual Reality and Visualization : ICVRV 2016 : proceedings : 24-26 September 2016, Hangzhou, Zhejiang, China
- 2017 21st International Conference Information Visualisation : IV 2017 : proceedings : London, United Kingdom, 11-14 July 2017
- 2017 IEEE Conference on Visual Analytics Science and Technology : proceedings : Phoenix, Arizona, USA, 1-6 October 2017
- 2017 IEEE International Conference on Big Data and Smart Computing (BigComp) : 13-16 Feb. 2017
- 2017 IEEE Pacific Visualization Symposium (PacificVis) : proceedings : Seoul, Korea, 18-21 April, 2017
- 2017 IEEE Visualization in Data Science (VDS)
- 2017 IEEE Visualization in Data Science (VDS) : 1 October, Phoenix, Arizona, USA
- 2017 IEEE Workshop on Data Systems for Interactive Analysis (DSIA) : 1-2 Oct. 2017
- 2017 IEEE Workshop on Visual Analytics in Healthcare (VAHC) : 1 October 2017
- 2018 IEEE Conference on Visual Analytics Science and Technology : proceedings : Berlin, Germany, 21-26 October, 2018
- 2018 IEEE International Conference on Big Data and Smart Computing : proceedings : 15-18 January 2018, Shanghai, China
- 2018 IEEE Pacific Visualization Symposium : proceedings : 10-13 April 2018, Kobe, Japan
- 2018 IEEE Scientific Visualization Conference : proceedings : Berlin, Germany, 21-26 October 2018
- 2019 IEEE 9th Symposium on Large Data Analysis and Visualization (LDAV)
- 2019 IEEE Conference on Visual Analytics Science and Technology : proceedings : Vancouver, BC, Canada, 20-25 October 2019
- 2019 IEEE Pacific Visualization Symposium : proceedings : 23-26 April 2019, Bangkok, Thailand
- 2019 IEEE Scientific Visualization Conference (SciVis)
- 2019 IEEE Visualization in Data Science (VDS)
- 2019 IEEE Workshop on Visual Analytics in Healthcare (VAHC)
- 2019 International Conference on 3D Vision : 3DV 2019 : proceedings : Quebec, Canada, 15-18 September 2019
- 2020 IEEE 10th Symposium on Large Data Analysis and Visualization : LDAV 2020 : proceedings : virtual event, 25 October 2020
- 2020 IEEE 5th Workshop on Visualization for the Digital Humanities : VIS4DH 2020 : proceedings : virtual event, 25 October 2020
- 2020 IEEE Conference on Visual Analytics Science and Technology : VAST 2020 : virtual event, 25-30 October 2020
- 2020 IEEE Pacific Visualization Symposium (PacificVis) : proceedings : Tianjin, China, 14-17 April, 2020
- 2020 IEEE VIS Arts Program : VISAP 2020 : virtual event, 27-29 October 2020
- 2020 International Conference on 3D Vision : 3DV 2020 : proceedings : 25-28 November 2020, virtual event
- 3DV 2017 : 2017 International Conference on 3D Vision : proceedings : Qingdao, Canada, 10-12 October 2017
- 3DV 2018 : 2018 International Conference on 3D Vision : proceedings : Verona, Italy, 5-8 September 2018
- 4th International Conference on Computer, Communication and Signal Processing : ICCCSP 2020 : Special Focus on Data Visualization : September 28-29, Department of Information Technology, SSN College of Engineering, Chennai, India
- 8th International Conference on Virtual Reality and Visualization : ICVRV 2018 : proceedings : 22-24 October 2018, Qingdao, P.R. China
- 9th IEEE International Symposium on Mixed and Augmented Reality 2010 : Seoul, Korea, October 13-16, 2010 : arts, media and humanities proceedings
- 9th IEEE International Symposium on Mixed and Augmented Reality 2010 : Seoul, Korea, October 13-16, 2010 : science & technology proceedings
- 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
- Advances in visual informatics : third International Visual Informatics Conference, IVIC 2013, Selangor, Malaysia, November 13-15, 2013. Proceedings
- 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
- 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
- Architecting for access : simplifying analytics on big data infrastructure
- Asia-Pacific Symposium on Visualisation, 2007 : Sydney, NSW, Australia, February 5-7, 2007 : proceedings
- Avoiding data pitfalls : how to steer clear of common blunders when working with data and presenting analysis and visualizations
- BELIV 2018 : proceedings : evaluation and beyond : methodological approaches for visualization : seventh biennial workshop : Berlin, Germany, October 21, 2018
- BELIV 2020 : proceedings : Evaluation and Beyond: Methodological Approaches for Visualization : eighth biennial workshop : Salt Lake City, UT, USA, October 25, 2020
- 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
- Beyond visualization : productivity, complexity, and information overload
- Big Data and Smart Computing (BIGCOMP), 2014 International Conference on : date, 15-17 Jan. 2014
- Big Data and Smart Computing (BigComp), 2015 International Conference on : date 9-11 Feb. 2015
- 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
- BioVis : 2013 IEEE Symposium on Biological Data Visualization : 13-14 October 2013
- Biological Data Visualization (BioVis), 2012 IEEE Symposium on : date, 14-15 Oct. 2012
- Biovis : IEEE Symposium on Biological Data Visualization 2013 : proceedings : Atlanta, Georgia, USA, 13-14 October 2013
- Building responsive data visualization for the Web
- CGIV 2004 : International Conference on Computer Graphics, Imaging and Visualization : proceedings : 26-29 July, 2004, Penang, Malaysia
- CGiV 2017 : 2017 14th International Conference on Computer Graphics, Imaging and Visualization : proceedings : Marrakesh, Morocco, 23-25 May 2017
- CMV 2004 : Second International Conference on Coordinated & Multiple Views in Exploratory Visualization : proceedings : 13 July, 2004, London, England
- Can data science help us find what makes a hit television show
- Colloquium on Image Processing in Medicine : on Friday, 19 April 1991
- Computational social networks : mining and visualization
- Cool infographics : effective communication with data visualization and design
- Cooperation in classification and data analysis : proceedings of two German-Japanese workshops
- 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
- Data analysis with Pandas and Python
- Data analytics in sports : how playing with data transforms the game
- Data fluency : empowering your organization with effective data communication
- Data insights : new ways to visualize and make sense of data
- Data journalism and democracy : how American mass media framed the 2016 presidential campaign in the United States using data visualization
- Data points : visualization that means something
- Data preparation in the big data era : best practices for data integration
- 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 and Dask
- 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 basics with Python : tips, techniques, and best practices for effective chart visualizations with matplotlib
- Data visualization in R with ggplot2 : creating effective and attractive data visualizations
- Data visualization recipes in Python
- Data visualization solutions for begginers
- Data visualization with D3 and AngularJS : build dynamic and interactive visualizations from real-world data with D3 on AngularJS
- Data visualization with Python and JavaScript : scrape, clean, explore & transform your data
- Data visualization with Tableau
- Data wrangling with Python : creating actionable data from raw sources
- Database issues for data visualization : IEEE Visualization '95 Workshop, Atlanta, Georgia, USA, October 28, 1995 : proceedings
- Datenvisualisierung - Grundlagen und Praxis : wie Sie aussagekräftige Diagramme und Grafiken gestalten
- Datenvisualisierung mit Tableau
- 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
- Designing data visualizations
- Designing for mixed reality : blending data, AR, and the physical world
- Designing orientation : signage, concepts & wayfinding systems
- Designing with data : improving the user experience with A/B testing
- Developing advanced plots with Matplotlib
- Development workflows for data scientists
- Discovering JMP 11
- Discovering JMP 13
- Doing data science
- Don't make them guess : how to improve your architectural visualizations
- 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
- Expanding the frontiers of visual analytics and visualization
- FCV 2013 : the 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision : Proceedings of the 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision : January 30-February 1, 2013, Inha University, Incheon, Korea
- Fifth International Conference on Coordinated & Multiple Views in Exploratory Visualization : CMV 2007 : proceedings : 2 July, 2007, Zurich, Switzerland
- 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
- Fourth International Conference on Coordinated & Multiple Views in Exploratory Visualization : CMV 2006 : 4 July 2006, London, England : proceedings
- From integrated publication and information systems to virtual information and knowledge environments : essays dedicated to Erich J. Neuhold on the occasion of his 65th birthday
- From zero to distributed traces : an OpenTracing tutorial
- Frontiers of Computer Vision (FCV), 2015 21st Korea-Japan Joint Workshop on : date, 28-30 Jan. 2015
- 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 Haskell data analysis : put your data analysis techniques to work and generate publication-ready visualizations
- Graphical data analysis with R
- Graphing data with R : an introduction
- Handbook of data visualization
- Handbook of human centric visualization
- Hands on with Google Data Studio : a data citizen's survival guide
- 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 science with Anaconda : utilize the right mix of tools to create high-performance data science applications
- 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
- History of information graphics
- How I learned to stop worrying and love graph databases
- How charts lie : getting smarter about visual information
- Human-centered visualization environments : GI-Dagstuhl Research Seminar, Dagstuhl Castle, Germany, March 5-8, 2006 : revised lectures
- IBM Power Systems Enterprise AI solutions
- ICVRV 2017 : 2017 International Conference on Virtual Reality and Visualization : proceedings : Zhengzhou, China, 21-22 October 2017
- ICVRV 2019 : 2019 International Conference on Virtual Reality and Visualization : proceedings : Hong Kong, China 21-22, November 2019
- ICoAC 2015, Seventh International Conference on Advanced Computing : December 15-17, 2015
- IEEE Conference on Visual Analytics Science & Technology 2012 : Seattle, Washington, USA, 14-19 October 2012 : proceedings
- IEEE Pacific Visualisation Symposium 2008 : proceedings : Kyoto, Japan, March 4-7, 2008
- IEEE Pacific Visualization Symposium 2009 : Beijing, China, April 20-23, 2009 : proceedings
- IEEE Pacific Visualization Symposium 2011 : proceedings : Hong Kong, China, March 1-4, 2011
- IEEE PacificVis 2010 : IEEE Pacific Visualization Symposium 2010, Taipei, Taiwan, March 2-5, 2010 : proceedings
- IEEE Symposium on Information Visualization 2003 : InfoVis 2003 : Seattle, Washington, October 19-21, 2003
- IEEE Symposium on Visual Analytics Science and Technology, 2008 : Columbus, Ohio, USA, October 21-23, 2008 : proceedings
- IEEE Symposium on Visual Analytics Science and Technology, 2009 : Atlantic City, New Jersey, USA, October 12-13, 2009 : proceedings
- IMVIP 2007 : International Machine Vision and Image Processing Conference : 5-7 September, 2007, National University of Ireland Maynooth, Maynooth, County Kildare, Ireland : proceedings
- IMVIP 2008 : 2008 International Machine Vision and Image Processing Conference : proceedings : 3-5 September, 2008, University of Ulster, Coleraine, Northern Ireland
- INSIGHTFUL DATA VISUALIZATION WITH SAS VIYA
- 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
- IV 2009 : Information Visualization : proceedings, 1517 July 2009, Barcelona, Spain
- IV 2010 : 2010 14th International Conference Information Visualisation : proceedings, 26-29 July 2010, London, United Kingdom
- IVMSP 2011 : 2011 IEEE 10th IVMSP Workshop : perception and visual signal analysis : proceedings : June 16-17, 2011, Ithaca, New York, U.S.A.
- IVMSP 2013
- Implementing Qlik Sense : design, develop, and validate BI solutions for consultants
- Info we trust : how to inspire the world with data
- Infographic designers' sketchbooks
- Infographics : designing and visualizing data = design et visualisation de l'information = diseño y visualización de la informaćion = design e visualização das informações
- Infographics : the power of visual storytelling
- Infographics powered by SAS : data visualization techniques for business reporting
- Information Visualisation (IV 2002) : 6th International Conference
- Information Visualisation : 5-7July 2006, London, England
- Information Visualisation : biomedical visualization, visualisation on built and rural environments & geometric modelling and imaging : Salerno, Italy 10-13 July 2018
- Information Visualisation : visualisation, biomedical visualization, visualisation on built and rural environments & geometric modelling and imaging : 16-18 July 2014, Paris, France
- Information Visualization, 1997 IEEE Symposium
- Information retrieval meets information visualization : PROMISE Winter School 2012, Zinal, Switzerland, January 23-27, 2012, Revised tutorial lectures
- Information visualization
- Information visualization : an introduction
- Information visualization : beyond the horizon
- Information visualization : human-centered Issues and perspectives
- Information visualization : perception for design
- Information visualization : proceedings : Eighth [IEEE] International Conference on Information Visualization : IV 2004 : 14-16 July, 2004, London, England
- Integrating D3.js with React : learn to bring data visualization to life
- 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
- International Conference on Coordinated & Multiple Views in Exploratory Visualization : CMV 2003 : proceedings : 15 July 2003, London, England ; associated and co-located with International Conference on Information Visualization (IV03)
- 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 data science with R : manipulating, visualizing, and modeling data with the R language
- Introduction to data visualization with R and ggplot2
- Introduction to scientific visualization
- JMP 11 profilers
- 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
- 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
- Jupyter for data science : exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter
- JupyterCon New York 2018
- 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
- Knowledge and information visualization : searching for synergies
- Knowledge visualization currents : from text to art to culture
- 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 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
- 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 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 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 - Fourth Edition
- Learning Tableau : leverage the power of Tableau 9.0 to design rich data visualizations and build fully interactive dashboards
- Machine Vision and Image Processing (MVIP), 2010 6th Iranian
- 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 data visual : a practical guide to using visualization for insight
- Making sense of data II : a practical guide to data visualization, advanced data mining methods, and applications
- 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 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
- Mastering data visualization with QlikView
- Mastering social media analytics : use data to build a business strategy
- 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 for Python developers : effective techniques for data visualization with Python
- Matplotlib for developers : data visualization and analysis with Python
- MediVis 2008 : Fifth International Conference BioMedical Visualization : information visualization in medical and biomedical informatics : proceedings, 9-11 July 2008, London, United Kingdom
- Meet the expert : Denise Gosnell on seeing the unseen with graph technology
- Metagraphs and their applications
- Mind, maps and infographics
- Modern big data processing with Hadoop : expert techniques for architecting end-to-end big data solutions to get valuable insights
- Multidimensional data visualization : methods and applications
- Multivariate network visualization : Dagstuhl Seminar #13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised discussions
- Network science with Python and NetworkX quick start guide : explore and visualize network data effectively
- Ninth International Conference on Information Visualisation : proceedings : 06-08 July 2005, London, England
- 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
- Pixelization paradigm : First Visual Information Expert Workshop, VIEW 2006, Paris, France, April 24-25, 2006 : revised selected papers
- 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 D3.js
- 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
- Prepare your data for Tableau : a practical guide to the tableau data prep tool
- Pro Tableau : a step-by-step guide
- Pro data visualization using R and JavaScript
- Proceedings : International Conference on Medical Information Visualisation - Biomedical Visualisation (MediVis 2006), July 5-7, 2006, London, England
- Proceedings of 12th International Conference Information Visualisation : July 9-11, 2008, London, UK
- Proceedings of ISAV 2016 : 2nd International Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization : November 13, 2016
- Proceedings of ProTools 2019 : Workshop on Programming and Performance Visualization Tools
- Proceedings of VPA 2016 : the 3rd Workshop on Visual Performance Analysis
- Proceedings of the IEEE VIS Arts Program (VISAP) 2018 : Berlin, Germany, October 23-26, 2018
- Proceedings of the IEEE VIS Arts Program (VISAP) 2019 : Vancouver, BC, Canada, October 20-25, 2019
- Proceedings of the IEEE VIS Arts Program (VISAP) : Phoenix, Arizona, October 1st-October 6th, 2017
- Proceedings of the Second Workshop on Eye Tracking and Visualization : ETVIS 2016
- Proceedings, 2009 13th International Machine Vision and Image Processing Conference : IMVIP 2009 : 2-4 September 2009, Dublin, Ireland
- Proceedings, 4th International Conference Medical Information Visualisation : BioMedical Visualisation : MediViz 2007 : 4-6 July, 2007, Zurich, Switzerland ; edited by Gordon Clapworthy, Chris Moore
- Proceedings, Computer Graphics, Imaging & Visualization : new techniques and trends : CGiV 2016 : 29 March-1 April 2016, Beni Mellal City, Morocco
- Proceedings, Seventh International Conference on Information Visualization : IV 2003, an international conference on computer visualization & graphics applications : 16-18 July, 2003, London, England
- Programming skills for data science : start writing code to wrangle, analyze, and visualize data with R
- 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 for marketing research and analytics
- 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, 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 cookbook : over 80 recipes to analyze data and create stunning visualizations with R
- 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
- Requirements Engineering Visualization (REV), 2010 Fifth International Workshop on : date, 28-28 Sept. 2010
- SAS programming and data visualization techniques : a power user's guide
- SAS visual analytics 6.1 : getting started with exploration and reporting
- 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
- Scientific visualization : the visual extraction of knowledge from data
- Scientific visualization : uncertainty, multifield, biomedical, and scalable visualization
- Self-service analytics : making the most of data access
- 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 : a data visualization guide for business professionals
- Storytelling with data : let's practice!
- 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 tips, tricks, and techniques
- Taking graph applications to production
- Telling great data stories online
- The KML handbook : geographic visualization for the Web
- 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
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