Alices Adventures in Reporting Services Presenter: Jen Stirrup, Contact: SQLBits VII Saturday 2 nd October, 2010.

Slides:



Advertisements
Similar presentations
What in the World? Geographical Representation of Library Collections in WorldCat: A Prototype Lynn Silipigni Connaway Clifton Snyder.
Advertisements

1 G492 Eric Rasmusen, 14 September 2009 Graphs.
Presenter Name(s) Issue date National Student.
1 st October 2010 Save the Pies for Lunch! Visualising Data with SQL Server Reporting Services Tim
Numeracy & Quantitative Methods: Numeracy for Professional Purposes Laura Lake.
Ultimate Bundle Overview Products Benefits Technical Requirements Licensing Pricing Valid until 01-Sep-2010.
Poster Print Size: This poster template is 24 high by 36 wide. It can be used to print any poster with a 2:3 aspect ratio including 36x54 and 48x72. Placeholders:
Poster Print Size: This poster template is 30 high by 50 wide and is printed at 120% for a 36 high by 60 wide poster. It can be used to print any poster.
Project Management from Simple to Complex
Geo GIS Practicuum Introduction to ArcGIS 8 Exercise 5 - ESRI Virtual Campus Chapters 1-2, ArcGIS Methods …
1  Janet Hensley  Pam Lange  Barb Rowenhorst Meade School District.
Poster Print Size: This poster template is 48” high by 48” wide. It can be used to print any poster with a 1:1 aspect ratio. Placeholders: The various.
SC ICT Certification Level 1 07 Spreadsheets By Ross Parker.
National Society of Black Engineers Presentation Title Subtitle and/or Presenter Name.
Lecture 1: Beautiful graphics in R
Lecture 8: tables, text annotations, mathematical expressions, legends, custom axes Trevor A. Branch Beautiful graphics in R, FISH507H SAFS,
The visual display of quantitative data Joyce Chapman, Consultant for Communications & Data Analysis State Library of North Carolina,
Interface Design Tufteism.
THE BRIEF PSYCHIATRIC RATING SCALE SYSTEM Senior Project by John Newman.
Packard BioScience. Packard BioScience What is ArrayInformatics?
CS 5764 Information Visualization Dr. Chris North.
Information Visualisation Praminda Caleb-Solly. Learning Objectives Gain an understanding of the benefits of information visualisation Explore ways of.
Business Intelligence and Data Visualization: Microsoft SQL Server 2012 Jen Stirrup MVP Copper Blue Consulting DBI206.
1 About Xcelsius Prasad BKR. 2 Agenda About Xcelsius and Editions Features and Components Comparison: MS Excel vs SAP Xcelsius Xcelsius.
Designing Great Visualizations Jock D. Mackinlay Director, Visual Analysis, Tableau Software.
Info Vis: Multi-Dimensional Data Chris North cs3724: HCI.
WPI Center for Research in Exploratory Data and Information Analysis From Data to Knowledge: Exploring Industrial, Scientific, and Commercial Databases.
CS 235: User Interface Design November 12 Class Meeting Department of Computer Science San Jose State University Fall 2014 Instructor: Ron Mak
Information Design and Visualization
Extreme Scaling with SQL Azure SQL Bits 7, York, October 2010 Martin Schmidt – Miracle A/S Denmark.
© 2010 Pearson Addison-Wesley. All rights reserved. Addison Wesley is an imprint of Designing the User Interface: Strategies for Effective Human-Computer.
Digital Media Dr. Jim Rowan ITEC 2110 Wednesday, September 4.
© 2010 Pearson Addison-Wesley. All rights reserved. Addison Wesley is an imprint of Designing the User Interface: Strategies for Effective Human-Computer.
ON TARGET Presenter Name By PresenterMedia.comPresenterMedia.com.
Fall 2002CS/PSY Information Visualization Picture worth 1000 words... Agenda Information Visualization overview  Definition  Principles  Examples.
Perception, Cognition and the Visual Seeing, thinking, knowing (link to optical video) (link to optical video) (link to optical video)
Introduction to ArcGIS for Environmental Scientists Module 1 – Data Visualization Chapter 3 – Symbology and Labeling.
Making data meaningful through effective visual presentation 5 th - 9 th December 2011, Rome Slides courtesy of: United Nations Economic Commission for.
Organizational Text Patterns What is structure?. Monday, December 2, 2013 In the Genre/Green section of your journal Write: Information Text: Then copy.
ราชภัฏสุราษฎร์ธานีวิจัย ครั้งที่ 11
Click to add text © 2012 IBM Corporation 1 Visualization of View Data Susan L. Cline SWS Visualization.
Copyright 2007 Paradigm Publishing Inc. EXCEL 2007 Chapter 7 BACKNEXTEND 7-1 LINKS TO OBJECTIVES Create a Chart with Data in a Worksheet Create a Chart.
Digital Media Dr. Jim Rowan ITEC 2110 Chapter 3. Roll call.
1 CSE 2337 Chapter 3 Data Visualization With Excel.
WORD VOCABULARY LIST #5 MICROSOFT OFFICE WORD VOCABULARY LIST #5 bar chart - A chart with bars that compares the quantities of two or more items.
Information Visualization Chris North cs3724: HCI.
Theme1 Generalisation and Symbolisation 《 Digital Cartography and Map Generalization 》
Information Visualization External Cognition Using perception to amplify cognition 34 x
Tight Coupling of Dynamic Query Filters with Starfield Displays / Spotfire.net Desktop By Chris Ahlberg and Ben Shneiderman / Spotfire Inc. IC280 5/9/02.
CONFIDENTIAL Data Visualization Katelina Boykova 15 October 2015.
© 2010 Pearson Addison-Wesley. All rights reserved. Addison Wesley is an imprint of Designing the User Interface: Strategies for Effective Human-Computer.
With Microsoft Excel 2007Comprehensive 1e© 2008 Pearson Prentice Hall1 Chapter 4: PowerPoint Presentation GO! with Microsoft Excel ® 2007 Comprehensive.
Computer Graphics Lecture 02 Fasih ur Rehman. Last Class Introduction to Computer Graphics Areas Application.
Online Intelligence Solutions Data Visualization and Dashboard Design LIVE WEBINAR 04/04/2013.
Digital Media Dr. Jim Rowan ITEC 2110 Chapter 3. Roll call.
Stanford hci group / cs376 research topics in human-computer interaction Information Visualization Scott Klemmer 03 November.
Framework and Models. Framework To help understand the field To develop a system that will allow us to ▫ Develop good designs ▫ Test ▫ Evaluate We need.
Visualizing Collections Data Why Pie Charts Aren't Always the Answer.
DATA VISUALIZATION BOB MARSHALL, MD MPH MISM FAAFP FACULTY, DOD CLINICAL INFORMATICS FELLOWSHIP.
Visualizing your data effectively
Are you winning the Red Queen’s Race?
MIS2502: Data Analytics Principles of Data Visualization
An Animated PowerPoint
Information Design and Visualization
Your Presentation Name
CMPE 280 Web UI Design and Development March 26 Class Meeting
CHAPTER 7: Information Visualization
CHAPTER 14: Information Visualization
Figure 1. Prediction result for birch pollen allergen Bet v 1 (PDB: 1bv1), as obtained by comparison to the cherry ... Figure 1. Prediction result for.
Fig. 2 Full-frame images recording the violation of a Bell inequality in four images. Full-frame images recording the violation of a Bell inequality in.
Presentation transcript:

Alices Adventures in Reporting Services Presenter: Jen Stirrup, Contact: SQLBits VII Saturday 2 nd October, 2010

Agenda Business Intelligence and the Red Queens Race you want to get somewhere… you must run at least twice as fast as that!

Agenda Business Intelligence and the Red Queens Race you want to get somewhere… you must run at least twice as fast as that! Business Intelligence and Alices Question What is the use of a book, without pictures?

Agenda Business Intelligence and the Red Queens Race you want to get somewhere… you must run at least twice as fast as that! Business Intelligence and Alices Question What is the use of a book, without pictures? Practical Applications – the Doorknob Read the directions and directly you will be directed in the right direction. Over to you!

Reporting and the Red Queen

Why not just tables? Zimbabwean inflation rates (official) since independence DateRateDateRateDateRateDateRateDateRateDateRate 19807%198114%198215%198319%198410%198510% %198710%19888%198914%199017%199148% %199320%199425%199528%199616%199720% % % % % % % % % , % ,212. 3% ,150, % (July)

Thinking with your Eyes

Stages of Processing Preattentive Processing Visual Integration Cognitive Integration

Stages of Processing Preattentive Processing Visual Integration Cognitive Integration

Pre-attentive Attributes AttributeExampleAssumption Spatial Position 2D Grouping 2D Position Sloping to the right = Greater FormLength Width Orientation Size Longer = Greater Higher = Greater ColourHue Intensity Brighter = Greater Darker = Greater

Pre-attentive Attributes AttributeExampleGraph Type Spatial Position 2D Grouping 2D Position Line Graph FormLength Width Orientation Size Bar Chart ColourHue Intensity Scatter Chart

Stages of Processing Preattentive Processing Visual Integration Cognitive Integration

Visual Integration Chartjunk Data/Ink Ratio

Mobilising Visual Integration Affordance Highlighting – bright colours Increasing Intensity = Increasing Values Eye Tracking Studies Eye Path going from cluster to legend, and back again (Ratwani, 2008)

Mobilising Visual Integration Sequential Palettes Diverging Palettes Qualitative Palettes

Visual Integration

Stages of Processing Preattentive Processing Visual Integration Cognitive Integration

Building an understanding of the graph Eye Tracking Studies Eye Path going from cluster to cluster, rather than cluster to legend (Ratwani, 2008)

Cognitive Integration Summary first Zoom and filter Then details on-demand (Schneiderman, 1999)

Cognitive Integration Comparison Sorting Bookmarks – analytical view of browsing

Mobilising Cognitive Integration Humans are not good at judging: 2D Area Angles

Mobilising Cognitive Integration Humans are not good at judging: 2D Area Angles Pie Charts and Gauges rely on these characteristics…

Lost Finale: Mins Breakdown

Bullet Chart Text LabelBar to display Performance measure Marker to display Comparative measure

Bar Chart Example - Original

Dot Plot Example

Bullet Graph Example

Summary Reporting and the Red Queens Race Three Stages of Processing Some Practical Suggestions! Over to you!

Contact Details Twitter.com/jenstirrup

Coming up… P/X001 Understanding and Preventing SQL Injection Attacks Kevin Kline P/L001 SSIS Fieldnotes Darren Green P/L002 The (Geospatial) Shapes of Things to Come Simon Munro P/L005 End to End Master Data Management with SQL Server Master Data Services Jeremy Kashel P/T007 Understanding Microsoft Certification in SQL Server Chris Testa-O'Neill # SQLBITS

References Information Visualisation, Perception For Design, Second Edition, Colin Ware, Morgan Kaufmann Publishers, San Francisco CA. Cleveland, W.S. The elements of graphing data. Wadsworth Advanced Books and Software, Monterey, Canada, 1985 Treisman, A. Features and Objects in visual processing. Scientific American, 255(2): , 1986 Navigation-related structural change in the hippocampi of taxi drivers, MacGuire et al 1999 Chartjunk image used 80 4-point "ley lines" pass through 137 random points. Original raster image by The Anome, vectors by Mysid. for details. This file is licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license.ley lines

References Raj M. Ratwani, J. Gregory Trafton, Deborah A. Boehm-Davis (2008). Thinking graphically: Connecting vision and cognition during graph comprehension. Journal of Experimental Psychology: Applied, 14 (1), DOI: Stuart K. Card, Jock D. Mackinlay, and Ben Shneiderman, Readings in Information Visualization: Using Vision to Think, Academic Press, San Diego, California, 1999, quoting a research paper by Kumar, Plaisant, and Shneiderman.) Visual Explanations, Edward Tufte (1997)