Visualization Week 8.

Slides:



Advertisements
Similar presentations
Sociology 549, Lecture 3 Graphs by Paul von Hippel.
Advertisements

© Anselm Spoerri Lecture 4 Human Visual System –Recap –3D vs 2D Debate –Object Recognition Theories Tufte – Envisioning Information.
Displaying Data in Graphs and charts. Challenger Disaster.
GREAT RIVERS Great Innovations TWENTY FIFTEEN GREAT RIVERS Great Innovations TWENTY FIFTEEN Measuring the Message Laura Gainor – Executive Director, United.
Data Presentation A guide to good graphics Bureau of Justice Statistics Marianne W. Zawitz.
Show what you know. Share your expertise Tell your story Pass along something from a friend Create a How-To Talk about the complex decision you face.
Data Visualization.
1 Visualization Solutions for Effective Communication Warren C. Weber California State Polytechnic University, Pomona.
Information Visualization in Data Mining S.T. Balke Department of Chemical Engineering and Applied Chemistry University of Toronto.
Infographics Visualizing Data. What are they? InfographicsInfographics can be used to visualize data in beautiful and interesting ways making it fun and.
Making Graphs. The Basics … Graphical Displays Should: induce the viewer to think about the substance rather than about the methodology, graphic design,
Information Design and Visualization
The Center for IDEA Early Childhood Data Systems April 25, 2014 Data Visualization: A Picture’s Worth a Thousand Numbers Nick Ortiz, Alice Ridgway and.
Principles of Good Presentation Slides & Graphics November 21, 2008 Adapted from slides used by Katie Kopren.
Graphical Display and Presentation of Quantitative Information 13 February 2006.
Information Visualization: Ten Years in Review Xia Lin Drexel University.
Intro to HCI Day 6: Info Vis Slides Prepared by: Michael A. Oren June 29, 2011 REU 2011.
Analyzing Data with Advanced Visualizations
On 15 October The Social Network, a film telling the story of Facebook, is released in the UK.
Recap Iterative and Combination of Data Visualization Unique Requirements of Project Avoid to take much Data Audience of Problem.
Visual Presentation of Quantitative Data Cliff Shaffer Virginia Tech Fall 2015.
Characteristics of file formats and ease of conversion Term 2 – Week 10 VCE IT – UNIT 2.
MIS5101: What is Analytics? Principles of Data Visualization.
Data Visualization: The What, the Who, & the How Abraham George, Vice President of IT and Chief Information Officer, Columbus State University Kamalika.
MIS 420: Data Visualization, Representation, and Presentation Content adapted from Chapter 2 and 3 of
DATA VISUALIZATION BOB MARSHALL, MD MPH MISM FAAFP FACULTY, DOD CLINICAL INFORMATICS FELLOWSHIP.
An introduction to the fundamentals of “The greatest value of a picture is when it forces us to notice what we never expected to see.” -John W. Tukey,
Table Lens Paper – The Table Lens: Merging Graphical and Symbolic Representations in an Interactive Focus + Context Visualization for Tabular Information.
INTRODUCTION TO SOCIAL MEDIA. MARKETING TOOL Global Networking 24/7 Building a Following Giving to Others Building Quality Relationships Online Sales.
Information Visualization Course
Reaching out to data users regarding next-generation news releases
What is an infographic?.
Social media at seed.
The Campaign Management Cheat Sheet
In Concert: An Integrated Reading and Writing Approach by Kathleen T
Display of Quantitative Information
Operational Efficiency and Success Through Data
The cognitive style of powerpoint
Oral Communication Week Two.
Three Using Visuals in Written and Oral Communication.
Chapter 2 Organizing and Summarizing Data
Lecture 02.
Designing Information Systems Notes
Visualizing Data and Effective Graphics Design
Milwee Middle School Math Night
graphical representation of data
Module 6: Presenting Data: Graphs and Charts
MIS2502: Data Analytics Principles of Data Visualization
Visual Presentation of Quantitative Data
graphical representation of data
Telling Your Story: Sharing Assessment Results
Visual Presentation of Quantitative Data
Multi-Dimensional Data Visualization
A picture is worth a thousand words.
Graphical Misrepresentations of Data
Concept maps.
Information Design and Visualization
Understand EDI-Net Dashboard
effective and affordable ways to connect with your audience
Infographics A picture is worth a thousand words
Statistical Reasoning Discussion Paragraph:
Information Visualization (Part 1)
graphical representation of data
Exemplary Practices for Displaying Public Health Data
Statistical Reasoning
Chapter 3 Visual Display of Data.
Disseminating your research through data visualization
What is an Infographic?.
Chapter 3: Graphic Presentation
Communications 101: tips and tools
Presentation transcript:

Visualization Week 8

What is Data Visualization? A picture can say a thousand words (Chinese proverb) Data visualization is the use of tools to represent data in the form of charts, maps, tag clouds, animations, or any graphical means that make content easier to understand. Creating a picture in your mind Interpreting data in visual terms Raw data is too complex Not a substitute for statistical analysis or other quantitative methods Exploit visual perception to amplify cognition

criteria of visualization Creating a story with the data It should be based on data Focus on content than graphics Integrate statistical and verbal information Reveal data at several levels of detail It must be readable and recognizable Should produce an actionable insight Avoid distortions

Why visualization is effective Short attention spans Information overload Easy to grasp format More retention

Tufte - Minard's Napoleon's March to Moscow

Maximize data-ink ratio Tufte’s Measures Data ink ratio = Data ink Total ink used in graphic Maximize data-ink ratio Maximize data density Data density of graphic = Number entries in data matrix Area of data graphic Measuring Misrepresentation  close to 1 Size of effect shown in graphic Size of effect in data Lie factor =

Stock market crash? Example 500 475 450 1998 1999 2000 2001 2002

Example 500 250 Show entire scale 1998 1999 2000 2001 2002

Example 500 250 Show in context 1960 1970 1980 1990 2000

“Lie factor” = 2.8 Error: Shrinking along both dimensions

Examples of visualization Telling a story with the data!

Where Google street view is available

Tools Excel Tools – charts, histograms, pie charts Heat Maps One dimensional, and not useful to represent complex data Heat Maps Infographics Social Media Visualization Visualizing World Bank Data http://data.worldbank.org/products/data-visualization-tools Other tools Google Trends Fusion Tables Tibco Spotfire Twitter Analytics for Excel 2013

Heat Map Graphical representation of data in a map or a matrix Using colors instead of numbers Different colors denote different intensities or categories Tools Open heat map (http://www.openheatmap.com/)

Infographic Present information using visual tools According to visual.ly visualizations that present complex information quickly and clearly visualizations that integrate words and graphics to reveal information, patterns or trends visualizations that are easier to understand than words alone visualizations that are beautiful and engaging Tools Infogram Visual.ly

Social Media Visualization Big Data Analytics is only one aspect of social media Story telling through visualizations is the key Easy to get lost in pure numbers Online conversations Sentiment analysis Reviews and ratings Feedback Online networks Influencers

Twitter Analytics for Excel 2013 Demo

Twitter Analytics

Social Networks Connections between people Applications How many? Who? One way or two way? Intensity of connections? Applications LinkedIn InMaps (inmaps.linkedinlabs.com) Klout Score How Google allotted the first set of Google glasses?

Inclass exercises Tableau Openheatmap LinkedIn InMap TwitterStream

Links TED Talk on Data Visualization http://video- subtitle.tedcdn.com/talk/podcast/2010G/None/DavidMcCandless_2010G-480p- en.mp4