?.

Slides:



Advertisements
Similar presentations
Assessment Report School of Arts, Humanities, Social Sciences Department: Art Chair: Timothy Massey Assessment Coordinator: Chris Carson, Timothy.
Advertisements

317 The Leadership Excellence Series Giving Effective Feedback.
CS 221 Chapter 2 Excel. In Excel: A1 = 95 A2 = 95 A3 = 80 A4 = 0 =IF(A1
Copyright © 2005 Brooks/Cole, a division of Thomson Learning, Inc. 3.1 Chapter Three Art and Science of Graphical Presentations.
LECTURE 5 5 FEBRUARY 2009 STA291 Fall Itinerary 2.3 Graphical Techniques for Interval Data (mostly review) 2.4 Describing the Relationship Between.
Copyright © 2005 Brooks/Cole, a division of Thomson Learning, Inc. 3.1 Chapter Three Art and Science of Graphical Presentations.
2007 會計資訊系統計學 ( 一 ) 上課投影片 3.1 Chapter Three Art and Science of Graphical Presentations.
1 The Assumptions. 2 Fundamental Concepts of Statistics Measurement - any result from any procedure that assigns a value to an observable phenomenon.
Information Visualization in Data Mining S.T. Balke Department of Chemical Engineering and Applied Chemistry University of Toronto.
Information Graphics Joyeeta Dutta-Moscato July 9, 2013.
Making Graphs. The Basics … Graphical Displays Should: induce the viewer to think about the substance rather than about the methodology, graphic design,
Review of Measures of Central Tendency, Dispersion & Association
Writing Business Reports. Introduction Gives background of problem or assignment. Introduces the subject and shows why it is significant or important.
LECTURE 5 10 SEPTEMBER 2009 STA291 Fall Itinerary Graphical Techniques for Interval Data (mostly review) Describing the Relationship Between Two.
CO_02.jpg. 2.4 Graphical Misrepresentations of Data Objective: By the end of this section, I will be able to… 1) Understand what can make a graph misleading,
Lecture 3 Dustin Lueker. 2  Suppose the population can be divided into separate, non-overlapping groups (“strata”) according to some criterion ◦ Select.
Lecture 3 Dustin Lueker.  Simple Random Sampling (SRS) ◦ Each possible sample has the same probability of being selected  Stratified Random Sampling.
LECTURE 6 15 SEPTEMBER 2009 STA291 Fall Review: Graphical/Tabular Descriptive Statistics Summarize data Condense the information from the dataset.
Review of Measures of Central Tendency, Dispersion & Association
V. Rouillard  Introduction to measurement and statistical analysis GRAPHICAL PRESENTATION OF EXPERIMENTAL DATA It is nearly always the case that.
Chapter 1 Section 4 Presenting Scientific Data. Organizing Data Scientists can organize their data by using data table and graphs.
Chapter 2 Section 2.7 Graphing Techniques. Multiplying the Function or the Independent Variable by a Number.
A graphical display should: Show the data Induce the viewer to think about the substance of the graphic Avoid distorting the message.
Art and Science of Graphical Presentations Statistics for Management and Economics Chapter 3.
Chapter 3: Organizing Data. Raw data is useless to us unless we can meaningfully organize and summarize it (descriptive statistics). Organization techniques.
Grades And what they mean. What Grades are NOT: Punishment or Reward Compliments or Insults Kindness or Meanness Indication of how well you are liked.
Infographic (informational graphic) Edward TufteEdward Tufte in The Visual Display of Quantitative Information defines 'graphical displays' in the following.
Shared reading in science Castlemaine SC November, 2009.
Chapter 3 Section 3.3 Linear Functions: Graphs and Applications.
DATA VISUALIZATION BOB MARSHALL, MD MPH MISM FAAFP FACULTY, DOD CLINICAL INFORMATICS FELLOWSHIP.
Welcome to Curriculum Night 2014 Grade 8 Ms. McArthur.
Objectives: Graph (and write) inequalities on a number line.
Task Definition Evaluation Science Fair Projects Location & Access
Organizing Qualitative Data
Keller: Stats for Mgmt & Econ, 7th Ed
Chapter 2 Organizing and Summarizing Data
Chapter 2 Review 14 questions: 1 – write a verbal expression
Graphing 2017.
6-7 Graphing and Solving Quadratic Inequalities
Century 21 Computer Skills and Applications
STA 291 Spring 2008 Lecture 3 Dustin Lueker.
Core Methods in Educational Data Mining
Graphical Misrepresentations of Data
Graphing Section 1.3.
Organizing & Using Data
Unit 5D Graphics in the Media Ms. Young.
Chapter 1 : Chemistry an Introduction
Graphing Data Ms. Jefferson.
Daily Science Aug 21 Label the following
STA 291 Summer 2008 Lecture 4 Dustin Lueker.
Graphical Data Displays and Interpretation
Learning Objectives You should be able to: Vocabulary
DATA.
Feedback Information given to one or more team members concerning their behavior, attitude, relationships and progress toward the achievement or non achievement.
The Scientific Method A series of steps used to solve a problem
Roots: Bracketing Methods
Organizing Qualitative Data
IDC (not IDK!) How to turn absolutely anything (well almost) into a science experiment!
Keller: Stats for Mgmt & Econ, 7th Ed
Statistical Reasoning
Chapter 3 – Art and Science of Graphical Presentations
Keller: Stats for Mgmt & Econ, 7th Ed
Chapter 1 The Nature of Science 1.3 Communicating With Graphs
STA 291 Spring 2008 Lecture 4 Dustin Lueker.
GRAPHING NIZOTES KEY CONCEPTS: What are the parts of a graph?
Roots: Bracketing Methods
Linear Equations Chapter 2/unit
Giving Effective Feedback
Feedback Information given to one or more team members concerning their behavior, attitude, relationships and progress toward the achievement or non achievement.
Graphs in Science p. 34.
Presentation transcript:

?

Art and Science of Graphical Presentation Chapter 3 Art and Science of Graphical Presentation

3.2 Graphical Excellence “Graphical excellence” deals with the effective use of graphical techniques. Effective graphical techniques are informative, concise, clear presentation of the data to the viewer. How can we achieve graphical excellence?

Graphical excellence is achieved when The graph presents large data sets concisely and coherently. The ideas and concepts to be delivered are clearly understood to the viewer. The graph encourages the viewer to compare variables. The display induces the viewer to address the substance of the data and not the form of the graph. There is no distortion of what the data reveal.

3.3 Graphical Deception It is important to be able to evaluate critically the information presented by graphical techniques. Things to be cautious about when observing a graph: Is there a missing scale on one axis. Do not be influenced by a graph’s caption. Are changes presented in absolute values only, or in percent form too.

? Has any axis been stretched? 10% Dollars Is there a missing scale on one axis. Are changes presented in absolute values only, or in percent form too. ? (3%) 120.0 (2%) 110.0 (1%) 100.0 Time Time Has any axis been stretched? 10% Dollars 10% Aug. 98 Sept. 98 1980 1985 1990