What is involved in Interactive Computing and Data Visualization
Find out what the related areas are that Interactive Computing and Data Visualization connects with, associates with, correlates with or affects, and which require thought, deliberation, analysis, review and discussion. This unique checklist stands out in a sense that it is not per-se designed to give answers, but to engage the reader and lay out a Interactive Computing and Data Visualization thinking-frame.
How far is your company on its Interactive Computing and Data Visualization journey?
Take this short survey to gauge your organization’s progress toward Interactive Computing and Data Visualization leadership. Learn your strongest and weakest areas, and what you can do now to create a strategy that delivers results.
To address the criteria in this checklist for your organization, extensive selected resources are provided for sources of further research and information.
Start the Checklist
Below you will find a quick checklist designed to help you think about which Interactive Computing and Data Visualization related domains to cover and 252 essential critical questions to check off in that domain.
The following domains are covered:
Interactive Computing and Data Visualization, Misleading graphs, Interactive data visualization, Computer graphics, Graphic organizer, Graphic design, Patent drawing, Statistical inference, Statistical analysis, Bar chart, Line chart, Engineering drawing, Ade Olufeko, Internet of things, Information discovery, User interface, Data warehouse, Giorgia Lupi, Scatter plot, Thematic map, Turin Papyrus Map, Blaise Pascal, Interaction design, Interactive Computing and Data Visualization, Pie chart, Human–computer interaction, Data analysis, Visual perception, Volume cartography, Volume rendering, General Assembly, Tycho Brahe, Software visualization, Big Data, Grounded theory, Change management, Chemical imaging, Computer science, Jock D. Mackinlay, Data science, Misleading graph, Claudius Ptolemy, Area chart, Business Intelligence, Imaging science, Control chart, Information architecture, Visual journalism, Mathematical diagram, National Geographic, Visual analytics, Run chart, Congressional Budget Office, René Descartes, Technical drawing, Graph of a function, Data profiling, Medical imaging, Small multiple, Exploratory Data Analysis, Hanspeter Pfister, The Data Incubator:
Interactive Computing and Data Visualization Critical Criteria:
Boost Interactive Computing and Data Visualization planning and clarify ways to gain access to competitive Interactive Computing and Data Visualization services.
– Who is the main stakeholder, with ultimate responsibility for driving Interactive Computing and Data Visualization forward?
– What new services of functionality will be implemented next with Interactive Computing and Data Visualization ?
– Why are Interactive Computing and Data Visualization skills important?
Misleading graphs Critical Criteria:
Prioritize Misleading graphs outcomes and get out your magnifying glass.
– What management system can we use to leverage the Interactive Computing and Data Visualization experience, ideas, and concerns of the people closest to the work to be done?
– Why is it important to have senior management support for a Interactive Computing and Data Visualization project?
– What is our formula for success in Interactive Computing and Data Visualization ?
Interactive data visualization Critical Criteria:
Consult on Interactive data visualization decisions and finalize the present value of growth of Interactive data visualization.
– Consider your own Interactive Computing and Data Visualization project. what types of organizational problems do you think might be causing or affecting your problem, based on the work done so far?
– What business benefits will Interactive Computing and Data Visualization goals deliver if achieved?
– How will you measure your Interactive Computing and Data Visualization effectiveness?
Computer graphics Critical Criteria:
Interpolate Computer graphics visions and check on ways to get started with Computer graphics.
– What other jobs or tasks affect the performance of the steps in the Interactive Computing and Data Visualization process?
Graphic organizer Critical Criteria:
Do a round table on Graphic organizer visions and find the essential reading for Graphic organizer researchers.
– How do you determine the key elements that affect Interactive Computing and Data Visualization workforce satisfaction? how are these elements determined for different workforce groups and segments?
– What is Effective Interactive Computing and Data Visualization?
Graphic design Critical Criteria:
Unify Graphic design projects and question.
– What are the Key enablers to make this Interactive Computing and Data Visualization move?
– How can skill-level changes improve Interactive Computing and Data Visualization?
Patent drawing Critical Criteria:
Familiarize yourself with Patent drawing leadership and don’t overlook the obvious.
– Have you identified your Interactive Computing and Data Visualization key performance indicators?
– Are assumptions made in Interactive Computing and Data Visualization stated explicitly?
Statistical inference Critical Criteria:
Consult on Statistical inference quality and correct better engagement with Statistical inference results.
– Does the Interactive Computing and Data Visualization task fit the clients priorities?
– How would one define Interactive Computing and Data Visualization leadership?
– How can we improve Interactive Computing and Data Visualization?
Statistical analysis Critical Criteria:
See the value of Statistical analysis results and innovate what needs to be done with Statistical analysis.
– Among the Interactive Computing and Data Visualization product and service cost to be estimated, which is considered hardest to estimate?
– what is the most effective tool for Statistical Analysis Business Analytics and Business Intelligence?
– How is the value delivered by Interactive Computing and Data Visualization being measured?
– How to Secure Interactive Computing and Data Visualization?
Bar chart Critical Criteria:
Focus on Bar chart results and slay a dragon.
– What are the success criteria that will indicate that Interactive Computing and Data Visualization objectives have been met and the benefits delivered?
– Does Interactive Computing and Data Visualization systematically track and analyze outcomes for accountability and quality improvement?
– What are current Interactive Computing and Data Visualization Paradigms?
Line chart Critical Criteria:
Chat re Line chart issues and ask questions.
– Think about the functions involved in your Interactive Computing and Data Visualization project. what processes flow from these functions?
– Is Interactive Computing and Data Visualization dependent on the successful delivery of a current project?
– What are all of our Interactive Computing and Data Visualization domains and what do they do?
Engineering drawing Critical Criteria:
Analyze Engineering drawing goals and find out what it really means.
– Is Supporting Interactive Computing and Data Visualization documentation required?
– Are we Assessing Interactive Computing and Data Visualization and Risk?
– Do we have past Interactive Computing and Data Visualization Successes?
Ade Olufeko Critical Criteria:
Dissect Ade Olufeko engagements and inform on and uncover unspoken needs and breakthrough Ade Olufeko results.
– Does Interactive Computing and Data Visualization analysis show the relationships among important Interactive Computing and Data Visualization factors?
Internet of things Critical Criteria:
Talk about Internet of things tactics and probe the present value of growth of Internet of things.
– What types of service platforms are required to deploy event driven applications and to make possible dynamic adaptation of service platforms or application to insertion of sensors with new classes of capabilities?
– What privacy training is provided to users either generally or specifically relevant to the functionality of the program or system?
– What are our key showtoppers which will prevent or slow down IoT applications rise?
– Do individuals have an opportunity and/or right to decline to provide information?
– Are our executives are aware of the transformational potential of the Internet of Things?
– How can the internet of things represent an innovative use case in our sector?
– Disaster Recovery Site–what happens if Contractors server is destroyed?
– Does our system use roles to assign privileges to users of the system?
– How would a society benefit from an AI that passes the Turing test?
– What is the foreseen roadmap of IoT applications with the main milestones?
– Who will be the leading companies of the Internet of Things?
– What are some available APIs for the Internet of Things?
– What startups are focused on the Internet of Things IoT?
– What does a good Internet of Things strategy include?
– How will the Internet of Things affect the Smartgrid?
– What is the effect of agent diversity on the system?
– What are the best Internet of Things use cases?
– How do we secure this?
Information discovery Critical Criteria:
Face Information discovery planning and know what your objective is.
– How can we incorporate support to ensure safe and effective use of Interactive Computing and Data Visualization into the services that we provide?
– Why is Interactive Computing and Data Visualization important for you now?
– How to deal with Interactive Computing and Data Visualization Changes?
User interface Critical Criteria:
Grasp User interface leadership and look in other fields.
– What are internal and external Interactive Computing and Data Visualization relations?
– What if we substitute prototyping for user interface screens on paper?
– Does a User interface survey show which search ui is better ?
Data warehouse Critical Criteria:
Adapt Data warehouse projects and do something to it.
– Do we cover the five essential competencies-Communication, Collaboration,Innovation, Adaptability, and Leadership that improve an organizations ability to leverage the new Interactive Computing and Data Visualization in a volatile global economy?
– What tier data server has been identified for the storage of decision support data contained in a data warehouse?
– Do we need an enterprise data warehouse, a Data Lake, or both as part of our overall data architecture?
– What does a typical data warehouse and business intelligence organizational structure look like?
– Does big data threaten the traditional data warehouse business intelligence model stack?
– Is data warehouseing necessary for our business intelligence service?
– Why should we adopt a Interactive Computing and Data Visualization framework?
– Is Data Warehouseing necessary for a business intelligence service?
– What is the purpose of data warehouses and data marts?
– What are alternatives to building a data warehouse?
– Do we offer a good introduction to data warehouse?
– Data Warehouse versus Data Lake (Data Swamp)?
– Do you still need a data warehouse?
– Centralized data warehouse?
Giorgia Lupi Critical Criteria:
Align Giorgia Lupi projects and improve Giorgia Lupi service perception.
– In the case of a Interactive Computing and Data Visualization project, the criteria for the audit derive from implementation objectives. an audit of a Interactive Computing and Data Visualization project involves assessing whether the recommendations outlined for implementation have been met. in other words, can we track that any Interactive Computing and Data Visualization project is implemented as planned, and is it working?
– Is there any existing Interactive Computing and Data Visualization governance structure?
– Does Interactive Computing and Data Visualization appropriately measure and monitor risk?
Scatter plot Critical Criteria:
Cut a stake in Scatter plot planning and assess and formulate effective operational and Scatter plot strategies.
– Are there any easy-to-implement alternatives to Interactive Computing and Data Visualization? Sometimes other solutions are available that do not require the cost implications of a full-blown project?
– Will Interactive Computing and Data Visualization deliverables need to be tested and, if so, by whom?
Thematic map Critical Criteria:
Deduce Thematic map issues and display thorough understanding of the Thematic map process.
– What tools do you use once you have decided on a Interactive Computing and Data Visualization strategy and more importantly how do you choose?
– Is the scope of Interactive Computing and Data Visualization defined?
Turin Papyrus Map Critical Criteria:
Gauge Turin Papyrus Map leadership and explain and analyze the challenges of Turin Papyrus Map.
– Do several people in different organizational units assist with the Interactive Computing and Data Visualization process?
Blaise Pascal Critical Criteria:
Read up on Blaise Pascal goals and probe Blaise Pascal strategic alliances.
– Will new equipment/products be required to facilitate Interactive Computing and Data Visualization delivery for example is new software needed?
– What are the record-keeping requirements of Interactive Computing and Data Visualization activities?
Interaction design Critical Criteria:
Adapt Interaction design strategies and check on ways to get started with Interaction design.
– What is the source of the strategies for Interactive Computing and Data Visualization strengthening and reform?
– Should typography be included as a key skill in information architecture or even interaction design?
– What is the difference between Interaction Design and Human Computer Interaction?
– What is the difference between information architecture and interaction design?
– How do we maintain Interactive Computing and Data Visualizations Integrity?
Interactive Computing and Data Visualization Critical Criteria:
Graph Interactive Computing and Data Visualization governance and explore and align the progress in Interactive Computing and Data Visualization.
– Does Interactive Computing and Data Visualization analysis isolate the fundamental causes of problems?
– What are the long-term Interactive Computing and Data Visualization goals?
Pie chart Critical Criteria:
Talk about Pie chart management and attract Pie chart skills.
– What will be the consequences to the business (financial, reputation etc) if Interactive Computing and Data Visualization does not go ahead or fails to deliver the objectives?
– What are the Essentials of Internal Interactive Computing and Data Visualization Management?
Human–computer interaction Critical Criteria:
Weigh in on Human–computer interaction quality and look at the big picture.
– At what point will vulnerability assessments be performed once Interactive Computing and Data Visualization is put into production (e.g., ongoing Risk Management after implementation)?
Data analysis Critical Criteria:
See the value of Data analysis management and secure Data analysis creativity.
– What is the difference between Data Analytics Data Analysis Data Mining and Data Science?
– What are some real time data analysis frameworks?
Visual perception Critical Criteria:
Powwow over Visual perception management and shift your focus.
– In what ways are Interactive Computing and Data Visualization vendors and us interacting to ensure safe and effective use?
– How do we go about Securing Interactive Computing and Data Visualization?
Volume cartography Critical Criteria:
Deduce Volume cartography planning and find answers.
– What are your current levels and trends in key measures or indicators of Interactive Computing and Data Visualization product and process performance that are important to and directly serve your customers? how do these results compare with the performance of your competitors and other organizations with similar offerings?
– What other organizational variables, such as reward systems or communication systems, affect the performance of this Interactive Computing and Data Visualization process?
– Is maximizing Interactive Computing and Data Visualization protection the same as minimizing Interactive Computing and Data Visualization loss?
Volume rendering Critical Criteria:
Align Volume rendering projects and define Volume rendering competency-based leadership.
– Think of your Interactive Computing and Data Visualization project. what are the main functions?
General Assembly Critical Criteria:
Coach on General Assembly results and report on developing an effective General Assembly strategy.
– What are the disruptive Interactive Computing and Data Visualization technologies that enable our organization to radically change our business processes?
– Risk factors: what are the characteristics of Interactive Computing and Data Visualization that make it risky?
Tycho Brahe Critical Criteria:
Study Tycho Brahe failures and diversify by understanding risks and leveraging Tycho Brahe.
Software visualization Critical Criteria:
Pilot Software visualization tactics and revise understanding of Software visualization architectures.
– Is there a Interactive Computing and Data Visualization Communication plan covering who needs to get what information when?
Big Data Critical Criteria:
Consult on Big Data visions and point out improvements in Big Data.
– New roles. Executives interested in leading a big data transition can start with two simple techniques. First, they can get in the habit of asking What do the data say?
– How we make effective use of the flood of data that will be produced will be a real big data challenge: should we keep it all or could we throw some away?
– Do you see the need to support the development and implementation of technical solutions that are enhancing data protection by design and by default?
– If this nomination is completed on behalf of the customer, has that customer been made aware of this nomination in advance of this submission?
– Which core Oracle Business Intelligence or Big Data Analytics products are used in your solution?
– what is needed to build a data-driven application that runs on streams of fast and big data?
– What are the legal risks in using Big Data/People Analytics in hiring?
– How are the new Big Data developments captured in new Reference Architectures?
– Which other Oracle Business Intelligence products are used in your solution?
– Does your organization have the necessary skills to handle big data?
– Can analyses improve with more detailed analytics that we use?
– Solution for updating (i.e., adding documents)?
– What if the data cannot fit on your computer?
– Hash tables for term management?
– Is Big data different?
– what is Different about Big Data?
– How to deal with ambiguity?
– What is Big Data to us?
Grounded theory Critical Criteria:
Understand Grounded theory leadership and describe which business rules are needed as Grounded theory interface.
– Where do ideas that reach policy makers and planners as proposals for Interactive Computing and Data Visualization strengthening and reform actually originate?
Change management Critical Criteria:
Guide Change management leadership and drive action.
– Workforce Change Management How do you prepare your workforce for changing capability and capacity needs? How do you manage your workforce, its needs, and your needs to ensure continuity, prevent workforce reductions, and minimize the impact of workforce reductions, if they do become necessary? How do you prepare for and manage periods of workforce growth?
– The objective of Change Management is to ensure that standard methods and procedures are used, such that changes can be dealt with quickly, with the lowest possible impact on service quality. all changes should be traceable, in other words, one can answer the question, what changed? Do we do this?
– Troubleshooting – are problems related to what is actually changing (the change), to the management of tasks and resources to make the change happen (project management) or to issues relating to employee engagement, buy-in and resistance (Change Management)?
– Business Change and Training Manager responsibilities include Planning, coordinating and implementing an Organizational Change Management Plan?
– How should projects be phased to allow adequate time for Change Management and organizational acceptance of the selected technologies?
– How do we ensure that implementations of Interactive Computing and Data Visualization products are done in a way that ensures safety?
– Have all the major Change Management issues associated with the preferred alternative been identified and discussed?
– What are some concrete ways to help executives understand the value of change management?
– Does your organization have a preferred organizational change management methodology?
– Do changes in business processes fall under the scope of Change Management?
– In what scenarios should change management systems be introduced?
– When is Change Management used on a project at which level?
– What is the latest success strategy in change management?
– What is the Change Management process?
– What is workplace Change Management?
– What is Change Management?
Chemical imaging Critical Criteria:
Prioritize Chemical imaging projects and intervene in Chemical imaging processes and leadership.
– How likely is the current Interactive Computing and Data Visualization plan to come in on schedule or on budget?
– What will drive Interactive Computing and Data Visualization change?
Computer science Critical Criteria:
Consolidate Computer science visions and budget the knowledge transfer for any interested in Computer science.
– What are our best practices for minimizing Interactive Computing and Data Visualization project risk, while demonstrating incremental value and quick wins throughout the Interactive Computing and Data Visualization project lifecycle?
– What sources do you use to gather information for a Interactive Computing and Data Visualization study?
Jock D. Mackinlay Critical Criteria:
Probe Jock D. Mackinlay planning and find out what it really means.
– Do those selected for the Interactive Computing and Data Visualization team have a good general understanding of what Interactive Computing and Data Visualization is all about?
– Who are the people involved in developing and implementing Interactive Computing and Data Visualization?
– What vendors make products that address the Interactive Computing and Data Visualization needs?
Data science Critical Criteria:
Conceptualize Data science risks and plan concise Data science education.
– Who will provide the final approval of Interactive Computing and Data Visualization deliverables?
Misleading graph Critical Criteria:
Incorporate Misleading graph adoptions and get the big picture.
– Are there any disadvantages to implementing Interactive Computing and Data Visualization? There might be some that are less obvious?
– Have the types of risks that may impact Interactive Computing and Data Visualization been identified and analyzed?
Claudius Ptolemy Critical Criteria:
Have a meeting on Claudius Ptolemy tasks and give examples utilizing a core of simple Claudius Ptolemy skills.
– Do we monitor the Interactive Computing and Data Visualization decisions made and fine tune them as they evolve?
– What is the purpose of Interactive Computing and Data Visualization in relation to the mission?
Area chart Critical Criteria:
Judge Area chart governance and achieve a single Area chart view and bringing data together.
Business Intelligence Critical Criteria:
Start Business Intelligence issues and don’t overlook the obvious.
– What are the potential areas of conflict that can arise between organizations IT and marketing functions around the deployment and use of business intelligence and data analytics software services and what is the best way to resolve them?
– Does the software let users work with the existing data infrastructure already in place, freeing your IT team from creating more cubes, universes, and standalone marts?
– Does the software allow users to bring in data from outside the company on-the-flylike demographics and market research to augment corporate data?
– Choosing good key performance indicators (KPI Key Performance Indicators) did we start from the question How do you measure a companys success?
– What statistics should one be familiar with for business intelligence and web analytics?
– What is the difference between business intelligence business analytics and data mining?
– Does your software facilitate the setting of thresholds and provide alerts to users?
– Is business intelligence set to play a key role in the future of human resources?
– What are direct examples that show predictive analytics to be highly reliable?
– What specialized bi knowledge does your business have that can be leveraged?
– What should recruiters look for in a business intelligence professional?
– What social media dashboards are available and how do they compare?
– What information needs of managers are satisfied by the bi system?
– Can Business Intelligence BI meet business expectations?
– How do we use AI algorithms in practical applications?
– To create parallel systems or custom workflows?
– Is the product accessible from the internet?
– Will your product work from a mobile device?
– How are you going to manage?
– Using dashboard functions?
Imaging science Critical Criteria:
Gauge Imaging science adoptions and find the essential reading for Imaging science researchers.
– How do we Improve Interactive Computing and Data Visualization service perception, and satisfaction?
– How can you measure Interactive Computing and Data Visualization in a systematic way?
Control chart Critical Criteria:
Add value to Control chart visions and don’t overlook the obvious.
Information architecture Critical Criteria:
Have a session on Information architecture strategies and reduce Information architecture costs.
– Users increasingly demand from web sites the ability to get information that is customized to their interests and needs. Many web sites now tailor their content through the use of architectures designed to support multiple audience types, or through technologies that allow users to profile their personal interests. These kinds of sites demonstrate that their designers are sensitive to the fact the users arent all the same. Besides the influence of users, marketing efforts have driven this trend to a large degree: why present general information to the broadest audience (e.g., trying to sell tobacco products to everyone, including the antismoking activists) when you can target information to prequalified market segments (e.g., selling expensive cigars to yuppies)?
– The labels used for the groupings of content make a difference in a users understanding of the site and their ability to navigate its content. Which labels stand out in your mind as particularly good ones?
– How important are hard measurements that show return on investment compared to soft measurements that demonstrate customer satisfaction and public perception?
– How does one design a sites information architecture so that findability is balanced with discoverability?
– Has the usage analysis been performed for the information that will be generated?
– What are the main obstacles to constructing a Web site with a solid architecture?
– How can I set up a good information architecture for my site seo efforts?
– Take a look at the site structure listing. What are the major sections?
– What should an experienced information architect be learning right now?
– Do you have the technology and the skills to meet each requirement?
– Have advanced search types been considered and evaluated for use?
– Which labels stand out in your mind as particularly good ones?
– What are the differences in designing a web app vs a website?
– Is this content better suited for a PDF (or other download)?
– Are there any information policies that should be followed?
– How to judge when enough information has been gathered?
– Should you organize by topic, by task, or by audience?
– How to decide when to give up an unsuccesful search?
– What is your users comfort level with technology?
– Why do bad architectures happen so often?
Visual journalism Critical Criteria:
Learn from Visual journalism quality and explain and analyze the challenges of Visual journalism.
– What are the top 3 things at the forefront of our Interactive Computing and Data Visualization agendas for the next 3 years?
– How do we measure improved Interactive Computing and Data Visualization service perception, and satisfaction?
Mathematical diagram Critical Criteria:
Generalize Mathematical diagram risks and use obstacles to break out of ruts.
– Who will be responsible for documenting the Interactive Computing and Data Visualization requirements in detail?
– How do we manage Interactive Computing and Data Visualization Knowledge Management (KM)?
National Geographic Critical Criteria:
Huddle over National Geographic strategies and correct National Geographic management by competencies.
– Are there recognized Interactive Computing and Data Visualization problems?
Visual analytics Critical Criteria:
Powwow over Visual analytics risks and revise understanding of Visual analytics architectures.
– Can Management personnel recognize the monetary benefit of Interactive Computing and Data Visualization?
– Are there Interactive Computing and Data Visualization problems defined?
Run chart Critical Criteria:
Define Run chart tactics and balance specific methods for improving Run chart results.
– For your Interactive Computing and Data Visualization project, identify and describe the business environment. is there more than one layer to the business environment?
– How does the organization define, manage, and improve its Interactive Computing and Data Visualization processes?
– What are the barriers to increased Interactive Computing and Data Visualization production?
Congressional Budget Office Critical Criteria:
Think about Congressional Budget Office engagements and gather practices for scaling Congressional Budget Office.
– What are the key elements of your Interactive Computing and Data Visualization performance improvement system, including your evaluation, organizational learning, and innovation processes?
– Can we add value to the current Interactive Computing and Data Visualization decision-making process (largely qualitative) by incorporating uncertainty modeling (more quantitative)?
– Who is responsible for ensuring appropriate resources (time, people and money) are allocated to Interactive Computing and Data Visualization?
René Descartes Critical Criteria:
Wrangle René Descartes visions and describe the risks of René Descartes sustainability.
Technical drawing Critical Criteria:
Powwow over Technical drawing management and find the ideas you already have.
Graph of a function Critical Criteria:
See the value of Graph of a function tasks and summarize a clear Graph of a function focus.
– Is a Interactive Computing and Data Visualization Team Work effort in place?
Data profiling Critical Criteria:
Understand Data profiling issues and reduce Data profiling costs.
– What prevents me from making the changes I know will make me a more effective Interactive Computing and Data Visualization leader?
– In a project to restructure Interactive Computing and Data Visualization outcomes, which stakeholders would you involve?
– Do we do data profiling?
Medical imaging Critical Criteria:
Scrutinze Medical imaging projects and define what our big hairy audacious Medical imaging goal is.
Small multiple Critical Criteria:
Wrangle Small multiple adoptions and integrate design thinking in Small multiple innovation.
– What is the total cost related to deploying Interactive Computing and Data Visualization, including any consulting or professional services?
Exploratory Data Analysis Critical Criteria:
Be responsible for Exploratory Data Analysis failures and raise human resource and employment practices for Exploratory Data Analysis.
Hanspeter Pfister Critical Criteria:
Confer over Hanspeter Pfister strategies and transcribe Hanspeter Pfister as tomorrows backbone for success.
– Do we aggressively reward and promote the people who have the biggest impact on creating excellent Interactive Computing and Data Visualization services/products?
The Data Incubator Critical Criteria:
Derive from The Data Incubator outcomes and probe using an integrated framework to make sure The Data Incubator is getting what it needs.
– How do senior leaders actions reflect a commitment to the organizations Interactive Computing and Data Visualization values?
– What role does communication play in the success or failure of a Interactive Computing and Data Visualization project?
– What potential environmental factors impact the Interactive Computing and Data Visualization effort?
This quick readiness checklist is a selected resource to help you move forward. Learn more about how to achieve comprehensive insights with the Interactive Computing and Data Visualization Self Assessment:
Author: Gerard Blokdijk
CEO at The Art of Service | http://theartofservice.com
Gerard is the CEO at The Art of Service. He has been providing information technology insights, talks, tools and products to organizations in a wide range of industries for over 25 years. Gerard is a widely recognized and respected information expert. Gerard founded The Art of Service consulting business in 2000. Gerard has authored numerous published books to date.
To address the criteria in this checklist, these selected resources are provided for sources of further research and information:
Misleading graphs External links:
Misleading Graphs – Math Help
[PDF]31 Misleading Graphs and Statistics
Misleading Graphs | Passy’s World of Mathematics
Interactive data visualization External links:
Power BI | Interactive Data Visualization BI Tools
Computer graphics External links:
Computer Graphics – Animation, M.F.A. | Degrees | NYIT
Double Your Computer Graphics for Free – YouTube
Introduction to Computer Graphics – YouTube
Graphic organizer External links:
Story Elements Graphic Organizer – TeacherVision
Double-Entry Journals: Graphic Organizer & Advice …
Spider Map Graphic Organizer | Web Graphic Organizers
Graphic design External links:
Title Graphic Design Jobs, Employment | Indeed.com
The Art Institutes® – Graphic Design Online (BS)
http://Ad · lp.aionline.edu/graphic-design
The Art Institutes® – Graphic Design Online (BS)
http://Ad · lp.aionline.edu/graphic-design
Patent drawing External links:
Contact | The Patent Drawings Company
Patent Drawing Software – Create Patent Diagrams Easy
Design Patent Drawing Services for Law Firms & Corporations
Statistical inference External links:
[PDF]Introduction to Statistical Inference
Statistical inference (Book, 2002) [WorldCat.org]
Title: Statistical Inference – arXiv
Statistical analysis External links:
Statistical Analysis Flashcards | Quizlet
Football Predictions and Bet Tips from Statistical Analysis
The Statistical Analysis Center (SAC) – State of Delaware
Bar chart External links:
Stacked Bar Chart in SSRS – Tutorial Gateway
CREATE A BAR CHART
Bar Charts | Charts | Google Developers
Line chart External links:
Line Chart in SSRS – Tutorial Gateway
Line Chart | Charts | Google Developers
Matplotlib Line chart – Python Tutorial
Engineering drawing External links:
[PDF]Engineering Drawing & CAD Standards – KSU | Faculty …
Engineering Drawing Title Block – Engineers Edge
Engineering Drawing – AbeBooks
Ade Olufeko External links:
ADE OLUFEKO PRE EMINENT THINKER – YouTube
Ade Olufeko Silver Spring, MD | Intelius
Ade Olufeko – Oxford Africa Conference 2018
Internet of things External links:
Internet of Things World Forum – IoTWF Home
The Internet of Things
http://Ad · GoldmanSachs.com/Internet-of-Things
Internet of Things (IoT) | Microsoft
User interface External links:
Datatel User Interface 5.4
What is user interface (UI)? – Definition from WhatIs.com
Portal Web Mail User Interface – MyCopper.net
Data warehouse External links:
Condition Categories – Chronic Conditions Data Warehouse
[PDF]Data Warehouse – Utility’s Smart Grid Clearinghouse
http://smartgrid.epri.com/UseCases/DW – Utility DOE SG Clearhouse_ph2add.pdf
HRSA Data Warehouse Home Page
Giorgia Lupi External links:
giorgia lupi – Medium
Giorgia Lupi – Information Designer – YouTube
Giorgia Lupi | Facebook
Scatter plot External links:
SAS Scatter Plot Example with PROC SGPLOT – …
Scatter Plot maker – Meta-Chart.com
Creating a Scatter Plot in Excel – Nc State University
Thematic map External links:
Cartography: Thematic Map Design – Google Books
Buy Cartography: Thematic Map Design on Amazon.com FREE SHIPPING on qualified orders
[PDF]Design and analysis for thematic map accuracy …
Turin Papyrus Map External links:
Conférence Ifao : The Turin Papyrus Map – facebook.com
Turin papyrus map by Ana Pietscher on Prezi
The Turin Papyrus Map, Gold, Myrrh and Punt – Travel To Eat
Blaise Pascal External links:
Blaise Pascal Quotes – BrainyQuote
PHILOSOPHY – Blaise Pascal – YouTube
Blaise Pascal Quotes – BrainyQuote
Interaction design External links:
global community – The Interaction Design Foundation
Interaction Design Program – Farmingdale State College
Jobs – Interaction Design Association – IxDA
Pie chart External links:
How to Add Titles in a Pie chart in Excel 2013 – YouTube
sample pie chart with labels and title – Math Is Fun
Visualization: Pie Chart | Charts | Google Developers
Data analysis External links:
Learn Data Analysis – Intro to Data Analysis | Udacity
Data Analysis – Illinois State Board of Education
Data Analytics – More Powerful Data Analysis
http://Ad · www.periscopedata.com/data-analytics
Visual perception External links:
VISUAL PERCEPTION – Psychology Dictionary
Visual Perception (eVideo, 2015) [WorldCat.org]
Culture Visual Perception – AbeBooks
Volume cartography External links:
Volume cartography – update.revolvy.com
Volume rendering External links:
Download Microsoft Research Volume Rendering SDK …
[PDF]Non-Photorealistic Volume Rendering Using …
General Assembly External links:
Colorado General Assembly
Georgia General Assembly
Virginia General Assembly – Official Site
Tycho Brahe External links:
Tycho Brahe – Scientist, Astronomer – Biography
Tycho Brahe – That Happened Thursdays – YouTube
Tycho Brahe’s 467th Birthday – Google
Software visualization External links:
Software Visualization (extended english version) – YouTube
Software Visualization – Imagix
[PDF]Software Visualization in the Large – people.cs.pitt.edu
Grounded theory External links:
[PDF]Qualitative Research: A Grounded Theory Example …
What is Grounded Theory? | Grounded Theory Online
Grounded Theory – Qualitative Research Guidelines Project
Change management External links:
CCMP™ – The Association of Change Management …
ADKAR Change Management Model Overview & …
[PDF]Change Management Best Practices Guide
Chemical imaging External links:
Chemical Imaging | ORNL
3D Quantitative Chemical Imaging of Tissues by Spectromics
See How We Have Made Molecular Chemical Imaging …
Computer science External links:
Computer Science Curriculum for Grades K-5 | Code.org
Computer Science Moodle
TEALS – Computer Science in Every High School
Jock D. Mackinlay External links:
[PDF]Bay-Wei Chang, Jock D. Mackinlay, Polle T. Zellweger
Jock D. Mackinlay – Google Scholar Citations
Jock D. Mackinlay – Infogalactic: the planetary knowledge core
Data science External links:
AnacondaCON ’18 | Data Science Conference
Datasets for Data Science and Machine Learning
What is data science – Data Science at NYU
Misleading graph External links:
Misleading Graphs | Passy’s World of Mathematics
[PDF]31 Misleading Graphs and Statistics
Misleading Graphs Examples – Math@TutorVista.com
Claudius Ptolemy External links:
Claudius Ptolemy – YouTube
The Life of Astronomer Claudius Ptolemy – ThoughtCo
Claudius Ptolemy Flashcards | Quizlet
Area chart External links:
Area chart | Highcharts
Visualization: Area Chart | Charts | Google Developers
Business Intelligence External links:
Business Intelligence Tools & Software | Square
SQL Server Business Intelligence | Microsoft
Business Intelligence Software – Dataminr
http://Ad · info.dataminr.com/News
Imaging science External links:
Certification Training – Imaging Science
Vanderbilt University Institute of Imaging Science
[PDF]Principles of Imaging Science II (RAD 120)
Control chart External links:
QC: The Levey-Jennings Control Chart – Westgard
[PDF]CONTROL CHART – Air University
Control Chart Analysis Flashcards | Quizlet
Information architecture External links:
What is Information Architecture? | IA Institute
Information Architecture – AbeBooks
Information Architecture Basics | Usability.gov
Visual journalism External links:
Visual Journalism Associate’s Degree – Learn.org
Visual journalism (Book, 2015) [WorldCat.org]
1080p | Princeton’s place for visual journalism
National Geographic External links:
National Geographic – Official Site
National Geographic Education – National Geographic …
Visual analytics External links:
Visual Analytics Tool – Tell A Story With Your Data
http://Ad · info.gooddata.com/Visual/Analytics
Visual Analytics Guide
http://Ad · www.sas.com/visual-analytics-guide
Visual Analytics Made Easy – Qlik Sense® Desktop
http://Ad · www.qlik.com/Qlik-Sense/Download
Run chart External links:
RMSB – Pesidents’ Day Tournament – 18u Run Chart
ASQ Quality Tools – Run Chart
[PDF]How to Make a Run Chart in Excel – OAHHS
Congressional Budget Office External links:
Congressional Budget Office-18-17 Information …
Congressional Budget Office – The New York Times
The Congressional Budget Office just handed …
René Descartes External links:
SparkNotes: René Descartes (1596–1650): Themes, …
René Descartes – Official Site
Technical drawing External links:
Free Technical Drawing Online or Download – SmartDraw
technical drawing paper sizes in the United States
Ch. 10 Technical Drawing Flashcards | Quizlet
Graph of a function External links:
[PDF]How to Sketch the Graph of a Function – Faculty Websites
Data profiling External links:
What is data profiling? – Definition from WhatIs.com
18 Performing Data Profiling – Oracle
Data Analysis | Data Profiling | Experian Data Quality
Medical imaging External links:
Locations – Chesapeake Medical Imaging
Medical Imaging | Overlake Medical Center
Touchstone Medical Imaging – Touchstone Medical Imaging
Small multiple External links:
How to Make Small Multiple Maps in Tableau | DataRemixed
Tableau Tip Tuesday: How to Create Small Multiple Line Charts
How to Create Small Multiple Line Charts in Tableau – YouTube
Exploratory Data Analysis External links:
Exploratory Data Analysis with R (Roger D. Peng) – Leanpub
R for Data Science Workshop: Exploratory Data Analysis …
[PDF]Exploratory Data Analysis Using PROC …
Hanspeter Pfister External links:
Hanspeter Pfister | The Harvard Data Science Initiative
Hanspeter Pfister | Harvard Extension School
Hanspeter Pfister – Google Scholar Citations
The Data Incubator External links:
The Data Incubator Events | Eventbrite
The Data Incubator – YouTube
The Data Incubator (@thedatainc) | Twitter