SpotFire Instructional ICS 105, Human Computer Interaction Research Group Winter 2002.

Slides:

Advertisements

Similar presentations

VOTER REGISTRATION INSIGHTS HELPING COMMUNITY ORGANIZERS TO FIND UNDERREPRESENTED COMMUNITIES.

Advertisements

26a. Average hourly wage in construction, by age group, 2010 (Production workers)

World Printing Production Team members: Sean Whitehead,Project Manager William Shamburg,Asst. Project Manager Regan Presley,GIS Analyst Erik Olden,GIS.

Spreadsheets With Microsoft Excel ® as an example.

Business Statistics: A Decision-Making Approach, 7e © 2008 Prentice-Hall, Inc. Chap 1-1 Business Statistics: A Decision-Making Approach 7 th Edition Chapter.

Chapter 1 The Where, Why, and How of Data Collection

Raw Census Microdata from IPUMS IPUMS Data Structure Household record (shaded) followed by a person record for each member of the household Relationship.

Microsoft Excel vs. Inxight Eureka. Column Headings Rows Text values do not show when data is unfocused Numbers appear in blue bars longer the bar larger.

Geography Skills Vocab

Chapter 3: Graphic Presentation

Create A Crime Forensic Science. Directions Students are to work in groups to complete the following assignment due on or before Tuesday, February 24,

CS 235: User Interface Design November 12 Class Meeting Department of Computer Science San Jose State University Fall 2014 Instructor: Ron Mak

DiversityDiversity Valuing. Objectives PS:A2 Acquire Interpersonal Skills PS:A2.1 Recognize that everyone has rights and responsibilities PS:A2.2 Respect.

242/102/49 0/51/59 181/172/166 Primary colors 248/152/29 PMS 172 PMS 137 PMS 546 PMS /206/ /227/ /129/123 Secondary colors 114/181/204.

Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc. Chap 1-1 Business Statistics: A Decision-Making Approach 6 th Edition Chapter.

Copyright © 2010 SAS Institute Inc. All rights reserved. Effective Data Visualization Design for Dashboards Lisa Whitman TriUPA May 25, 2011.

1 Putting Croatia on the Map: 2001 Census Data Made Available on the Web in Graphic Form Vesna Lužar-Stiffler, Ph.D. University Computing Centre and CAIR.

Inspiration InspireData Kidspiration Available in Tech 204 Tech 210 Success Connection.

Nonlinear Elements ENGL Textual Information Usually displayed linearly, line-by-line Some rhetorical situations require nonlinear presentations.

Designing a Graphical User Interface (GUI) Krisana Chinnasarn, Ph.D. January 2007.

Copyright © 2005, SAS Institute Inc. All rights reserved. 1.

MATH 2400 – Chapter 1 Vocabulary Individuals – the objects described by a set of data (doesn’t have to be people) Variable – any characteristic of an individual.

Chapter 12 Visual Aids. Learning Objective 1 Describe the purposes of visual aids in written and oral communication.

Miller Function & Participation Scales (M-FUN)

1.1 Displaying Data Visually Learning goal:Classify data by type Create appropriate graphs MSIP / Home Learning: p. 11 #2, 3ab, 4, 7, 8.

Welcome to MDM4U (Mathematics of Data Management, University Preparation)

Introduction Biostatistics Analysis: Lecture 1 Definitions and Data Collection.

EXECUTIVE WORKSHOP VOTING SOFTWARE. Sharpe Decisions A Customer-Centric Corporation Provides 24/7 Telephone Support – Toll Free in North America On-site.

An Internet of Things: People, Processes, and Products in the Spotfire Cloud Library Dr. Brand Niemann Director and Senior Data Scientist/Data Journalist.

Access: Queries Ad-hoc Reporting Chapter T. Access Queries Queries Access Properties Sorting Selection Criteria Calculations.

ICS 105 Research Team INFOZOOM How to Use Infozoom ICS 105 Research Team Winter 2002.

LESSON 3.6: GRAPHING Module 3: Drugs & Addiction Obj. 3.6: Create a clear, accurate, and compelling graph to depict data.

Graphs, Charts and Tables Describing Your Data. Frequency Distributions.

Presenting and Summarizing Data The Goal Is To Put Together A Coherent and Meaningful Story.

Chapter 2 Section 3 Using Scientific Measurements Graphs & Tables: Key Features and Reading.

Excel Charts. Column Chart The Column Chart will show the comparison of one or more series of data points. It is specially useful in comparing multiple.

Dan Grady Creating Analytic Dashboards With Visual Discovery Your business. No barriers.

NSF DUE ; Laura Johnson Cherie Aukland.

How to use Infozoom ICS 105 Research Team Fall 2000.

Computer Literacy for IC 3 Unit 1: Computing Fundamentals © 2010 Pearson Education, Inc. | Publishing as Prentice Hall.1 Chapter 4: Identifying Software.

Analytical Tools Summary Data Tables Summary Data Tables MEPSnet Query Tools MEPSnet Query Tools.

Google Image Search, Code, Fusion Tables Audrey and Chris.

Polaris: A System for Query, Analysis and Visualization of Multi- dimensional Relational Database by Chris Stolte & Pat Hanrahan presenter Andrew Trieu.

Howto use SpotFire Pro 3 ICS 105 Research Team Fall 2000.

ACIS Introduction to Data Analytics & Business Intelligence Ad-hoc Reporting Query Basics.

Tight Coupling of Dynamic Query Filters with Starfield Displays / Spotfire.net Desktop By Chris Ahlberg and Ben Shneiderman / Spotfire Inc. IC280 5/9/02.

Writing Prompts are FUN!!! 8/28/06 In complete sentences write down something you would measure in kilometers and something you would measure in millimeters.

MS-Access XP Lesson 4. Modifying Queries 1.Select query in queries 2.Click design button or Right click on query and click design view 3.Change query.

A Course In Business Statistics, 4th © 2006 Prentice-Hall, Inc. Chap 1-1 A Course In Business Statistics 4 th Edition Chapter 1 The Where, Why, and How.

MDM4U Displaying Data Visually Learning goal:Classify data by type Create appropriate graphs.

Monday 2 Sept 2006TC 310 Fall Usability Testing Gould & Lewis: 3 Principles of design –Early focus on the user –Empirical measurement –Iterative.

NAMES OF GROUPS TITLE. STATISTICAL QUESTION Your Question here. Why did you chose this question?

Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall2(1)-1 Chapter 2: Displaying and Summarizing Data Part 1: Displaying Data With Charts.

Statistics with TI-Nspire™ Technology Module E Lesson 1: Elementary concepts.

Great way to show your data!. * In your journal, draw a 4 square grid.

How to Generate Online Reports using WBTi Toolkit.

My autobiography Due January 26, 2007

Copyright © 2006, Infinite Campus, Inc. All rights reserved. Data Analysis: How to Build a Cube.

Using Audiovisual Aids

Graphical Presentation Dr. Amjad El-Shanti MD, PMH,Dr PH University of Palestine 2016.

Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc. Chap 1-1 Descriptive statistics Collecting, presenting, and describing data.

1 INTRODUCTION TO COMPUTER GRAPHICS. Computer Graphics The computer is an information processing machine. It is a tool for storing, manipulating and correlating.

Online Collaborative Visualization

21 Essential Data Visualization Tools

Chapter 13 Business Intelligence and Data Warehouses

Math 125 Stats Starts Here Copyright © 2009 Pearson Education, Inc.

Visualization of NLP Extractions Features Introduction Purpose

Graph Types Class A Class B.

Analysing quantitative data

Using Visual Aids Visual aids can be a very important element of your speech. It’s important to remember three basic tasks when showing a visual aid.

Presentation transcript:

SpotFire Instructional ICS 105, Human Computer Interaction Research Group Winter 2002

About SpotFire SpotFire is a data analysis program used to examine large data sets Created by SpotFire Inc. as an Analytic tool for the purposes of aiding in the visualization/decision making process on data sets Key feature is the ability to focus in on specific attributes of an object.

About SpotFire cont’d.. How SpotFire Decision Site accomplishes these tasks Multiple visualizations of data set Multiple visualizations of data set Pie Charts Bar Graph/Histograms Scatter Plots Line Graphs Heat Map Table View Components of Interface Components of Interface Details on Demand Query Device Trellising Sort by Properties

SpotFire Decision Site

Dating Data Set Attributes Screen Name Screen Name Gender Gender City City State State Birth date Birth date Religion Religion Ethnicity Ethnicity Eye color Eye color Go w/o sex? Go w/o sex? Like to travel? Like to travel? Want kids? Want kids? Sex important? Sex important? Hair Color Hair Type Weight Height Love at 1st sight? Income/month Spending/month Partner educated? Engage in sports? Did you cheat? Meet in bar? Data set compiles the self-descriptions of participants in an online dating service.

Census Data Set A subset of a Census Database (limited attributes) Attributes Person ID Years education Live in South? Gender Years work experience Union member? Hourly wage Hourly wage Age Age Race Race Occupation Occupation Sector Sector Married? Married?

Conclusion Closing remarks. Questions??