Business Data Visualization
IT 6713 BI
J.G. Zheng
Fall 2015
http://jackzheng.net/teaching/it6713/
Credit Card Payments Report
Legend:
OK – “On Time”; 10 – “0 to 10 days late”; 20 – “10 to 20 days late”; 30 – “20 to 30 da...
Credit Card Payments Report
1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12
2000 OK OK OK OK OK OK OK OK OK OK OK OK...
Overview
• What is (business) data visualization?
• The role and value of data visualization in
information seeking and de...
What is Business Data Visualization?
• Data/information visualization
– To form a mental imagery representation of data/in...
Why use visualization?
• Visualization and BI
– Information visualization is an important part of understanding for
inform...
Identify Structures/Relationships
• Does June report to Joy?
Employee Reports to
Jane Jack
Jessie Jane
Jason Jane
John Joy...
Identify Trends and Patterns
What's the difference between these two cities? Which one is Atlanta? In 10 seconds?
Identify Trends and Patterns
Monthly average temperature
Monthly average precipitation
What's the difference between these...
Quickly Focus on Area of Interests
• Which stock performed different from others?
http://finviz.com/map.ashx
More Comprehendible with Reality
Data Visualization Concepts
• Visual forms
– Visual form is the basic style a visualization is presented. It can be
catego...
Visual Forms/Styles
Style Description Types/Examples
Embedded
visuals
Embedded in a pre-define
presentation (paragraphs of...
Conditional Formatting
• Conditional formatting
– Direct formatting on text or numbers using visual
properties, embedded i...
Sparkline
• A sparkline is a small chart embedded in a context of
words, numbers, tables, images, or other type of
informa...
Illustrational Diagrams
• Illustrational diagrams
– Mainly to visualize quantitative as well as qualitative data
to illust...
Chart
• Chart is a unique combination of symbols
(visual elements) with visual properties
which directly represents quanti...
Common Chart Types
Bar chart
• Uses rectangular bars
with lengths
proportional to the
values they represent.
• Often used ...
Other Common Charts
• General types
– Area chart, Radar/Spider chart, Petal chart, Scatter chart, bubble chart, Dial or ga...
Motion charts
• A motion chart is an animated chart which allows
efficient visualization of data changes along a
dimension...
Choose a Chart
– Figure from http://extremepresentation.com/design/7-charts/ or
http://extremepresentation.typepad.com/blo...
Infographics
• Information graphics or infographics are graphic
visual representations of information, data or
knowledge.
...
More Visualization Forms/Methods
• A periodic table of visualization methods
– http://www.visual-
literacy.org/periodic_ta...
Visual Variables: SCOPeS
• Visual property is a basic feature that can represent
different values of a particular dimensio...
Composition of Multiple Properties
• More complex visual elements (such as icons
and symbols) can be built based on the ba...
Visual Properties used for OLAP
Measure Dimension
Shape **
Color * **
Orientation * *
Position ** *
Texture **
Size ** *
•...
Digital Dashboard
27
A dashboard is a visual display of the most
important information needed to achieve
one or more objec...
The Contents of a Dashboard
• A Dashboard generally contains a variety of different
views of data
– Charts, diagrams
– Tab...
Types/Levels of Dashboard
• Monitoring:
Operational real time
view of important
indicators
• Analysis/data
interaction: Pr...
Dashboard Uses
• Where is it used?
– Public report: The IT Dashboard http://it.usaspending.gov
• http://www.youtube.com/wa...
Data Visualization (Dashboard) Tools
• Enterprise reporting tools (usually
as a part of the complete BI
system)
– SSRS, SA...
Excel
• “Many individuals and small business users will
discover that MS Excel offers much of what they
need without the n...
Data Visualization: Sample Jobs
Desired Skills
• Intermediate skills with SQL, HTML, CSS and
Javascript/Javascript librari...
More Resources
• General textbook and reference
– “Introduction to Information Visualization”, by Riccardo Mazza, Springer...
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Overview of data visualization and its role in business intelligence.
-What is (business) data visualization?
•The role and value of data visualization in information seeking and decision making
•Data visualization basics
•Dashboard
•Data visualization and dashboard tools

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  • provide a high level overview of complex data sets;identify patterns and trends in data;identify structures and relationships in data;To form strong contrast to it is easy to focus on areas of “interest”; identify anomalies in data;Productivity: time sensitive response; understanding in short timeMemorization
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    1. 1. Business Data Visualization IT 6713 BI J.G. Zheng Fall 2015 http://jackzheng.net/teaching/it6713/
    2. 2. Credit Card Payments Report Legend: OK – “On Time”; 10 – “0 to 10 days late”; 20 – “10 to 20 days late”; 30 – “20 to 30 days late” 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12 2000 OK OK OK OK OK OK OK OK OK OK OK OK 2000 OK OK OK OK OK OK OK OK OK OK OK OK 2001 OK OK OK 10 20 30 30 30 20 10 10 OK 2001 OK OK OK OK OK OK OK OK OK OK OK OK 2002 OK OK OK OK OK OK OK OK OK OK OK OK 2002 OK OK OK OK OK OK OK 10 OK OK OK OK 2003 OK 20 OK 10 OK OK OK OK OK OK OK OK 2003 OK OK OK 10 OK OK OK OK OK OK OK OK 2004 OK OK OK OK OK OK OK OK 30 OK OK OK 2004 OK OK OK OK OK OK OK OK OK 10 OK OK 2005 OK OK OK OK OK OK OK OK OK OK OK OK 2005 OK 10 OK OK OK OK OK OK OK OK OK OK 2006 OK OK OK OK OK 10 OK OK OK OK OK OK 2006 OK OK OK OK OK OK OK OK OK OK OK OK 2007 OK OK OK OK OK OK OK OK OK OK OK OK 2007 OK OK OK OK 10 OK OK OK OK OK OK OK 2008 OK OK OK OK OK OK OK OK OK OK OK OK 2008 OK OK OK OK OK OK OK OK OK OK 10 OK 2009 OK OK OK OK OK OK OK OK OK OK OK OK 2009 OK OK OK OK OK OK OK OK OK OK OK OK 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12 2000 OK OK OK OK OK OK OK OK OK OK OK OK 2000 OK OK OK OK OK OK OK OK OK OK OK OK 2001 OK OK OK OK OK OK OK OK OK OK OK OK 2001 OK OK OK OK OK OK OK OK OK OK OK OK 2002 OK OK OK OK OK OK OK OK OK OK OK OK 2002 OK OK OK OK OK OK 20 20 OK OK OK OK 2003 OK OK OK OK OK OK OK OK OK OK OK OK 2003 OK OK OK 10 OK OK 30 20 OK OK OK OK 2004 OK OK OK OK OK OK OK OK OK OK OK OK 2004 OK OK OK OK OK OK 30 30 OK OK OK OK 2005 OK OK OK OK OK OK OK OK OK OK OK OK 2005 OK OK OK OK OK OK 20 30 20 OK OK OK 2006 OK OK OK OK OK OK OK 10 OK OK OK OK 2006 OK OK OK 10 OK OK 30 10 OK OK OK OK 2007 OK OK OK OK OK OK OK OK OK OK OK OK 2007 OK OK OK OK OK 30 20 30 10 OK OK OK 2008 OK OK OK OK OK 10 OK 20 OK 10 20 OK 2008 OK OK OK OK OK OK 30 10 OK OK OK OK 2009 OK 10 OK OK 30 30 OK OK OK 10 OK OK 2009 OK OK OK OK OK OK 10 20 OK OK OK OK Quickly identify the credit patterns for these 4 customers.
    3. 3. Credit Card Payments Report 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12 2000 OK OK OK OK OK OK OK OK OK OK OK OK 2000 OK OK OK OK OK OK OK OK OK OK OK OK 2001 OK OK OK 10 20 30 30 30 20 10 10 OK 2001 OK OK OK OK OK OK OK OK OK OK OK OK 2002 OK OK OK OK OK OK OK OK OK OK OK OK 2002 OK OK OK OK OK OK OK 10 OK OK OK OK 2003 OK 20 OK 10 OK OK OK OK OK OK OK OK 2003 OK OK OK 10 OK OK OK OK OK OK OK OK 2004 OK OK OK OK OK OK OK OK 30 OK OK OK 2004 OK OK OK OK OK OK OK OK OK 10 OK OK 2005 OK OK OK OK OK OK OK OK OK OK OK OK 2005 OK 10 OK OK OK OK OK OK OK OK OK OK 2006 OK OK OK OK OK 10 OK OK OK OK OK OK 2006 OK OK OK OK OK OK OK OK OK OK OK OK 2007 OK OK OK OK OK OK OK OK OK OK OK OK 2007 OK OK OK OK 10 OK OK OK OK OK OK OK 2008 OK OK OK OK OK OK OK OK OK OK OK OK 2008 OK OK OK OK OK OK OK OK OK OK 10 OK 2009 OK OK OK OK OK OK OK OK OK OK OK OK 2009 OK OK OK OK OK OK OK OK OK OK OK OK 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12 2000 OK OK OK OK OK OK OK OK OK OK OK OK 2000 OK OK OK OK OK OK OK OK OK OK OK OK 2001 OK OK OK OK OK OK OK OK OK OK OK OK 2001 OK OK OK OK OK OK OK OK OK OK OK OK 2002 OK OK OK OK OK OK OK OK OK OK OK OK 2002 OK OK OK OK OK OK 20 20 OK OK OK OK 2003 OK OK OK OK OK OK OK OK OK OK OK OK 2003 OK OK OK 10 OK OK 30 20 OK OK OK OK 2004 OK OK OK OK OK OK OK OK OK OK OK OK 2004 OK OK OK OK OK OK 30 30 OK OK OK OK 2005 OK OK OK OK OK OK OK OK OK OK OK OK 2005 OK OK OK OK OK OK 20 30 20 OK OK OK 2006 OK OK OK OK OK OK OK 10 OK OK OK OK 2006 OK OK OK 10 OK OK 30 10 OK OK OK OK 2007 OK OK OK OK OK OK OK OK OK OK OK OK 2007 OK OK OK OK OK 30 20 30 10 OK OK OK 2008 OK OK OK OK OK 10 OK 20 OK 10 20 OK 2008 OK OK OK OK OK OK 30 10 OK OK OK OK 2009 OK 10 OK OK 30 30 OK OK OK 10 OK OK 2009 OK OK OK OK OK OK 10 20 OK OK OK OK Legend: OK – “On Time”; 10 – “0 to 10 days late”; 20 – “10 to 20 days late”; 30 – “20 to 30 days late”
    4. 4. Overview • What is (business) data visualization? • The role and value of data visualization in information seeking and decision making • Data visualization basics • Dashboard • Data visualization and dashboard tools
    5. 5. What is Business Data Visualization? • Data/information visualization – To form a mental imagery representation of data/information (meaning) – The process of representing data as a visual image • Business data – Abstract – Structured or semi-structured – Multidimensional – Complicate relationship – Directly comprehendible by human • Business data visualization – Visualization of business data mainly for communication, analysis, and decision support – Simple, abstract, direct
    6. 6. Why use visualization? • Visualization and BI – Information visualization is an important part of understanding for information seeking and decision making. – Visualization tools have become increasingly important to business intelligence, in which people need technology support to make sense of and analyze complex data sets and all types of information. • Visualizations help data comprehension and enhance problem solving capabilities – Provide a high level overview of complex data sets – Exploiting the human visual system to extract additional (implicit) information/meaning – Ease the cognitive load of information processing – Recall or memorize data • More specifically (see examples in the following slides) – Identify structures or relationships – Identify patterns and trends – Quickly focus on area of interest or area of difference (can be an anomaly) – More comprehendible with reality
    7. 7. Identify Structures/Relationships • Does June report to Joy? Employee Reports to Jane Jack Jessie Jane Jason Jane John Joy Joseph Joy Joy Jack June Jessie Jack Jane Joy Jessie Jason John June Joseph
    8. 8. Identify Trends and Patterns What's the difference between these two cities? Which one is Atlanta? In 10 seconds?
    9. 9. Identify Trends and Patterns Monthly average temperature Monthly average precipitation What's the difference between these two cities? Which one is Atlanta? In 10 seconds?
    10. 10. Quickly Focus on Area of Interests • Which stock performed different from others? http://finviz.com/map.ashx
    11. 11. More Comprehendible with Reality
    12. 12. Data Visualization Concepts • Visual forms – Visual form is the basic style a visualization is presented. It can be categorized as embedded visual, standalone visual, and combined visual. • Visual elements – Visual elements are the basic building blocks in a chart or diagram to visualize data items. The most fundamental and abstract elements are: point, line, surface (area), and volume (3D). These basic elements, and the more complex elements built up on them, can represent almost anything in a visualization. • Visual variables (visual properties, or visual attributes) – Visual variables are used to "decorate" visual elements, so that the values or categories of data items can be directly and easily perceived and understood by human. – Summarized as "SCOPeS" • Design principles, best practices, and pitfalls - More to be covered in a more specific a data visualization course
    13. 13. Visual Forms/Styles Style Description Types/Examples Embedded visuals Embedded in a pre-define presentation (paragraphs of text, tables, etc.) Conditional formatting (Visual cues) Inline chart: Sparkline Standalone visuals Occupy a larger space and coherently displayed as an complete entity Illustrational diagrams Infographics Map Charts Motion charts Table Visual analysis tools Combined visuals A combination of different types of visuals Infographics Dashboard Scorecards
    14. 14. Conditional Formatting • Conditional formatting – Direct formatting on text or numbers using visual properties, embedded in a pre-established presentation • Example – Golf http://www.masters.com/en_US/scores/ – Tag cloud
    15. 15. Sparkline • A sparkline is a small chart embedded in a context of words, numbers, tables, images, or other type of information. – It presents the general shape of the variation in a simple and highly condensed way. – http://en.wikipedia.org/wiki/Sparkline • Examples – http://omnipotent.net/jquery.sparkline/ – http://www.klipfolio.com/blog/table-component-overview Sparkline
    16. 16. Illustrational Diagrams • Illustrational diagrams – Mainly to visualize quantitative as well as qualitative data to illustrate their features, relationships, sequences, etc. – http://en.wikipedia.org/wiki/Diagram • Examples – Flow chart: http://en.wikipedia.org/wiki/Flowchart – http://familydoctor.org/familydoctor/en/health- tools/search-by-symptom/cough.html – Structure diagram: http://en.wikipedia.org/wiki/Data_structure_diagram – Tree diagram: http://en.wikipedia.org/wiki/Tree_structure – Spatial map: https://maps.google.com/gallery/ – Time line: http://vizualize.me/
    17. 17. Chart • Chart is a unique combination of symbols (visual elements) with visual properties which directly represents quantitative values – http://en.wikipedia.org/wiki/Chart • Chart vs Diagram – No explicit defined difference. – Diagram is considered to include chart. – Chart is more abstract and focus on quantitative values
    18. 18. Common Chart Types Bar chart • Uses rectangular bars with lengths proportional to the values they represent. • Often used to display and compare discrete data, or categorical data Line chart Displays continuous (or semi-continuous) data serials Often used to visualize a trend in data over intervals of time Pie chart A circular chart divided into sectors, illustrating proportions. The arc length of each sector (or its angle and area) is proportional to the value it represents To represent the different parts of a whole, or the % of a total
    19. 19. Other Common Charts • General types – Area chart, Radar/Spider chart, Petal chart, Scatter chart, bubble chart, Dial or gauge chart – Tree map: http://en.wikipedia.org/wiki/Treemapping • Field specialized charts – Pareto (combo) chart (line/bar charts with left and right axis): http://en.wikipedia.org/wiki/Pareto_chart – Stock market: candlestick chart: http://en.wikipedia.org/wiki/Candlestick_chart – Project management: Gantt chart: http://en.wikipedia.org/wiki/Gantt_chart – Impacting factors and drivers: waterfall/bridge chart: http://en.wikipedia.org/wiki/Waterfall_chart – Marketing: perceptual map: http://en.wikipedia.org/wiki/Perceptual_mapping – Performance: bullet graphs: http://en.wikipedia.org/wiki/Bullet_graph – Heat map: http://en.wikipedia.org/wiki/Heat_map • More chart types – http://en.wikipedia.org/wiki/Chart – http://www.amazon.com/Information-Graphics-Comprehensive-Illustrated- Reference/dp/0195135326 – https://developers.google.com/chart/interactive/docs/gallery – http://www.inetsoft.com/business/chart_gallery/ – http://www.visualmining.com/resource/chartgallery/
    20. 20. Motion charts • A motion chart is an animated chart which allows efficient visualization of data changes along a dimension (typically temporal dimension). – http://en.wikipedia.org/wiki/Motion_chart – https://developers.google.com/chart/interactive/docs/gall ery/motionchart • Examples – http://www.google.com/publicdata/directory – http://www.amcharts.com/inspiration/motion-chart/ – http://tableau7.wordpress.com/2014/01/12/motion-map- chart/ – http://www.gapminder.org/ – https://www.youtube.com/watch?v=jbkSRLYSojo
    21. 21. Choose a Chart – Figure from http://extremepresentation.com/design/7-charts/ or http://extremepresentation.typepad.com/blog/2008/06/visualization-taxonomies.html – Online chooser with templates: http://labs.juiceanalytics.com/chartchooser/
    22. 22. Infographics • Information graphics or infographics are graphic visual representations of information, data or knowledge. – http://en.wikipedia.org/wiki/Information_graphics • Usually a mixture of text and multiple visual forms (charts, diagrams, images, tables, maps, lists, etc.) to quickly and vividly communicate complex information (multiple variables or dimensions). • Example – http://dailyinfographic.com/ – http://www.cooldailyinfographics.com/ – http://blogs.scientificamerican.com/sa- visual/2014/10/14/sa-recognized-for-great-infographics/
    23. 23. More Visualization Forms/Methods • A periodic table of visualization methods – http://www.visual- literacy.org/periodic_table/periodic_table.html
    24. 24. Visual Variables: SCOPeS • Visual property is a basic feature that can represent different values of a particular dimension of data – They can be used together to represent multiple dimensions of data • SCOPeS – Shape – Color – Orientation – Position – Texture – Size • Relevant sources: – http://www.infovis-wiki.net/index.php?title=Visual_Variables – http://wiki.gis.com/wiki/index.php/Visual_Variables
    25. 25. Composition of Multiple Properties • More complex visual elements (such as icons and symbols) can be built based on the basic elements and properties discussed above. • Combinations of these properties can be used to represent multi-dimensional data in the same visualization. • Animations (such as blinking, movement, spinning, etc.) are based on some dynamic changes of these properties, and they can be used for richer meaning and grab greater attention.
    26. 26. Visual Properties used for OLAP Measure Dimension Shape ** Color * ** Orientation * * Position ** * Texture ** Size ** * • Use one visual property to represent one dimension attribute. • Use different visual properties, instead of different values of the same visual property, for different dimensions (or dimension attributes). • Use different visual elements for different measures.
    27. 27. Digital Dashboard 27 A dashboard is a visual display of the most important information needed to achieve one or more objectives; consolidated and arranged on a single screen so the information can be monitored at a glance. Dashboard Confusion Stephen Few http://www.perceptualedge.com/articles/ie/dashboard_confusion.pdf
    28. 28. The Contents of a Dashboard • A Dashboard generally contains a variety of different views of data – Charts, diagrams – Tables – Standalone numbers – Interactive controls (such a filters) • The data is generally KPIs and shows trends, breakdowns, and comparisons against a forecast or historical data • Dashboard vs. charts, visualization, animation, diagram, interactive screen, simulation – http://www.dashboardinsight.com/articles/digital- dashboards/fundamentals/what-is-a-dashboard.aspx 28 28
    29. 29. Types/Levels of Dashboard • Monitoring: Operational real time view of important indicators • Analysis/data interaction: Provides optimized UI and information seeking and navigation feature among data and metrics to support analysis. • Summary/overview: As a summary high level report of operating status 29 http://prezi.com/qvhyfup5z7yz/dashboard-design-making-reports-pop/
    30. 30. Dashboard Uses • Where is it used? – Public report: The IT Dashboard http://it.usaspending.gov • http://www.youtube.com/watch?v=4fe39dh6xFQ – Performance monitoring • http://www.google.com/appsstatus • https://www.google.com/analytics – Election: http://elections.nytimes.com/2012/results/president – Sports: http://games.idashboards.com/winter2010/?guestuser=vancouver – Business: • Performance dashboard • Scorecard • Strategy map • More real examples – http://www.klipfolio.com/resources/dashboard-examples/executive – http://dashboardsbyexample.com – http://www.dashboardzone.com
    31. 31. Data Visualization (Dashboard) Tools • Enterprise reporting tools (usually as a part of the complete BI system) – SSRS, SAP Crystal, etc. • Standalone visualization tool (desktop) – Tableau: http://www.tableausoftware.com/publi c/ – Power BI – QlikView, Dundas, etc. • Cloud (web) based – http://idashboards.com – http://www.klipfolio.com/ • Embedded tools – Microsoft Excel (with PowerView, PowerMap), Visio – Google Docs Spreadsheet • Developer oriented libraries and APIs – Programming library:, dotNetCharting, Telerik, Nevron, amCharts, D3, etc. – Web API: Google Chart API (https://developers.google.com/chart/) • Casual charting tools – Google Chart creators: http://dexautomation.com/googlechart generator.php – Other free online charting tools • http://www.onlinecharttool.com/ • http://nces.ed.gov/nceskids/createagra ph (for kids) • More – http://www.creativebloq.com/design- tools/data-visualization-712402 – http://www.computerworld.com/article/ 2506820/business-intelligence/chart- and-image-gallery-30-free-tools-for- data-visualization-and-analysis.html
    32. 32. Excel • “Many individuals and small business users will discover that MS Excel offers much of what they need without the need.” – Data Visualization - HorizonWatch 2015 Trend Report http://www.slideshare.net/HorizonWatching/data- visualization-horizon-watch-2015-trend-report-client- version-28jan2015 • Main visualization features provided by Excel (practice these following the lab instructions) – Conditional formatting – Chart (Pivot Chart) – Slicer (visual filter) – Sparkline
    33. 33. Data Visualization: Sample Jobs Desired Skills • Intermediate skills with SQL, HTML, CSS and Javascript/Javascript libraries Comfortable in working with large, multi-dimensional data sets (data manipulation and analysis) • Experience with any of the data visualization software will be added advantage: Tableau, Qlikview, Spotfire, R or any other data visualization software Advanced Excel skills • Basic understanding of GIS concepts and how they can be included in visualizations • Basic experience working with IT server architectures and production deployments • Degree in Statistics/Mathematics/MIS/Computer Science /Graphic Design http://www.jeffersondavis.com/job-description-data-visualization-analyst-i.html The Data Visualization Analyst will be responsible for understanding the strategic needs of the business and translating high-level objectives into the development of visual data analysis and dashboards to support the category management and product strategy teams. The candidate will need to need to understand how to create and manipulate large data sets and use various visualization tools to meet the needs of needs of their customers. To ensure adoption by the business, this position will be required to ensure the quality of each dashboard release, data refresh and adhere to a regular refresh and dashboard publishing schedule. https://www.linkedin.com/jobs2/view/12915000 https://www.linkedin.com/groups/Im-looking- Data-Visualization-Analyst- 80552.S.131082745 Job Description: • Responsible for the management of database analysis projects in support of business initiatives. • Data visualization (DV) expertise to design, develop and implement clear, interactive and succinct visualizations by processing and analyzing large quantities of (un)structured data. • Candidate should have ability to turn raw data into compelling, lively stories, enriched with powerful, clear visualizations. • These visualizations would also provide end-users an ability to discover relationships within related data in fresh and innovative ways. • Updates visualization items as defined by department, in accordance with system protocol and requests from relevant departments. • Serves as a liaison between business stakeholders and technology resources to optimize processes and designed visualization functionality. • Assists with user acceptance testing for new information dashboards and/or analytical systems.
    34. 34. More Resources • General textbook and reference – “Introduction to Information Visualization”, by Riccardo Mazza, Springer, 2009, ISBN 1848002181 – “Information Dashboard Design” 2nd, by Stephen Few, 2013, http://www.amazon.com/gp/product/1938377001/ – “Business Dashboards: A Visual Catalog for Design and Deployment”, by Nils Rasmussen, et al. ,Wiley, 2009, ISBN 0470413476 – http://www.amazon.com/Information-Graphics-Comprehensive-Illustrated-Reference/dp/0195135326 • News, blog, magazines – http://mashable.com/category/data-visualization/ – http://hbr.org/special-collections/insight/visualizing-data – http://apandre.wordpress.com/ – http://nbremer.blogspot.com/ – http://understandinggraphics.com/ – https://plus.google.com/photos/+AndreiPandre/albums/5481981245951662737?banner=pwa • Communities and organizations – http://www.visualizing.org/ – http://www.interaction-design.org/ – http://flowingdata.com/ • Company – http://www.perceptualedge.com/ – http://blog.visual.ly/ • Dashboard – http://www.dashboardinsight.com – http://www.bidashboard.org/ – http://www.perceptualedge.com/library.php 34

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