Visual Analysis: The Value of Graphics for Risk Communications - RMG211 Spring Training: Correcting Common Mistakes Regular Season: Cutting Costs/Become.

Slides:

Advertisements

Similar presentations

Chapter 14 Writing and Presenting The Systems Proposal

Advertisements

How to Avoid Some Common Graphical Mistakes London October 1, 2012 Copyright © 2012, Naomi B. Robbins.

Excel Tutorial 4: Enhancing a Workbook with Charts and Graphs

Slideshow C4: Drawing graphs. Features of a good bar chart The bars should be drawn accurately with a pencil and ruler. They should be of equal width.

1.2 - Displaying quantitative data with graphs (Histograms)

Reading Graphs and Charts are more attractive and easy to understand than tables enable the reader to ‘see’ patterns in the data are easy to use for comparisons.

HISTOGRAMS Representing Data. Why use a Histogram When there is a lot of data When data is Continuous a mass, height, volume, time etc Presented in a.

COMPREHENSIVE Excel Tutorial 4 Working with Charts and Graphics.

Graphing. When to Graph Your Data When "a picture could tell billions of words" To impress people Dramatize a research finding Some people think visually.

Analytical Reports Analysis and Illustrating Report Data.

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

Secondary National Strategy Handling Data Graphs and charts Created by J Lageu, KS3 ICT Consultant – Coventry Based on the Framework for teaching mathematics.

Copyright, Gerry Quinn & Mick Keough, 1998 Please do not copy or distribute this file without the authors’ permission Experimental Design & Analysis Presentation.

Spring Training: Correcting Common Mistakes Regular Season: Cutting Costs/Become a Hero Post Season: Raising your Batting Average Visual Analysis: The.

Chapter 13 Creating Graphics. 2Chapter 13. Creating Graphics.

Graphics – Part1. Why use graphics u Different learning styles u Many things are hard to explain in text u Provides interest u Relationships are visual.

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

Sullivan – Fundamentals of Statistics – 2 nd Edition – Chapter 2 Section 1 – Slide 1 of 27 Chapter 2 Section 1 Organizing Qualitative Data.

CHAPTER 14 WRITING AND PRESENTING THE SYSTEMS PROPOSAL.

Effective Communication for Colleges, 10 th ed., by Brantley & Miller, 2005© Chapter 10 Chapter 10 – Slide 1 Visuals and Presentations.

16 Graph Skills How to read and understand advanced types of bar charts, area graphs, climographs and triangle graphs How to advance their skills of drawing.

MATH 3400 Computer Applications of Statistics Lecture 6 Data Visualization and Presentation.

CTS130 Spreadsheet Lesson 9 - Building Charts. What is a Chart? A chart is a visual display of information in a worksheet. Charts can help you make comparisons,

McGraw-Hill/Irwin © 2009 The McGraw-Hill Companies, All Rights Reserved Copyright © 2010 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin.

Lecture and Resource Slides BCOM 3e, Lehman & DuFrene © 2012 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted.

Chapter 12. Creating Graphics © 2010 by Bedford/St. Martin's1 Graphics serve five functions: They can catch the reader’s attention and interest. They can.

Chapter 8. Creating Graphics © 2013 by Bedford/St. Martin's1 Graphics serve five functions: They can catch readers’ attention and interest. They can help.

Copyright © 2015, 2010, and 2007 Pearson Education, Inc. 1 Chapter 7 Data, Graphs, and Statistics.

How to create a Scientific poster for the Group 4 presentation.

Dr. Serhat Eren GRAPHICAL DISPLAYS OF DATA Graphical Displays for Qualitative Data There are two methods that you can use to display qualitative.

Using Visuals Module Twenty Five Copyright © 2014 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin.

5 cm6 cm4 cm2 cm >>

Tables and Graphs. Graphs: Visual Display of Data X Axis: Independent Variable Y Axis: Dependent Variable.

Tables and Figures AGED 520V. Tables and Figures Tables Tables are for complex data –To display data for detailed analysis –To remove long strings of.

Copyright © 2015 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.

CLIMATE GRAPHS. Temp In °C Precipitation In mm OTTAWA LABELS! CITY AT TOP TEMPERATURE ON LEFT IN °C PRECIPITATION ON RIGHT MONTHS ACROSS THE BOTTOM.

Lecture Slides Business Communication, 16e, Lehman & DuFrene © 2011 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or.

Lecture and Resource Slides BCOM 3e, Lehman & DuFrene © 2012 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted.

A histogram is a special type of bar graph used to display numerical data that has been organized into intervals. The heights of the bars show the number.

Graphing Notes. All graphs must have: Title: must be specific Labels on each axis: must include a UNIT put unit in parentheses ( m )

LAB 01: BAR AND LINE CHARTS February 3, 2015 SDS 136 Communicating with Data.

COM: 111 Introduction to Computer Applications Department of Information & Communication Technology Panayiotis Christodoulou.

 Line Graphs: are used to show something changing over time.  Bar Graphs: are used to show a comparison between two or more variables.  Pie Chart:

Draw, analyze, and use bar graphs and histograms. Organize data into a frequency distribution table The Frequency Distribution.

Organizing Qualitative Data

Figures, Graphs, and Tables

Misleading Graphs and Statistics

Chapter 15 : Communicating Evidence Visually

Excel Part 4 Working with Charts and Graphics

Learning Objectives I can construct and organize data into tables.

Objectives Construct and/or interpret bar graphs, line graphs, and circle graphs (2-3 and 2-4).

Excel Part 4 Working with Charts and Graphics

STAT 4030 – Jennifer Priestley, Ph.D. Programming in R

Visual Elements English 202C.

Warm Up What number is half-way between 0.7 and 0.8?

Creating Figures Figure 9. Daily patterns of full stomachs (%) of herring and sprat sampled during the 1997 survey. Standard errors (bars) were not available.

Tips for Creating Graphs

Review of Graphing Understanding Graphs.

Analyzing One-Variable Data

MAP ELEMENTS LINK.

Environmental Science

Creating Visuals and Data Displays

Why Use Visuals? Draw attention to important information.

Notes: Organizing Data pg.4-5

Notes: Organizing Data pg.4-5

Excel Part 4 Working with Charts and Graphics

Using graphics and visuals

9.4 Part 2: Misleading graphs

What’s wrong with this picture

Presentation transcript:

Visual Analysis: The Value of Graphics for Risk Communications - RMG211 Spring Training: Correcting Common Mistakes Regular Season: Cutting Costs/Become a Hero Post Season: Raising your Batting Average Visual Analysis: The Value of Graphics for Risk Communications - RMG2111

Richard Denning President, Shelter Island Risk Services Phone: (631) Website: Libby Christman Vice President of Risk Management, Ahold USA Phone: (717) Website: Naomi Robins Consultant and seminar leader on effective data presentation Principal, NBR Phone: (973) Website:

How to Avoid Common Graphical Mistakes RIMS Philadelphia, PA 18 April, 2012 Copyright © 2012, Naomi B. Robbins

Graphical Mistakes Not making the data stand out Misleading the audience Problems with tick marks and labels

Make the data stand out. Factors that keep data from standing out: Clutter – Too many percent signs – Too many trailing zeros – Unnecessary dimensions Lack of contrast for model or data Graphical elements that hide data Colors that not all can distinguish

Before and After

Too many dollar signs and percent signs

Unnecessary 3D effect

Lack of Contrast

Do you notice the point on the x axis?

Data and axis labels conflict

Avoid color combinations that not all can distinguish. Simulation from

Red and green can cause problems.

How some see last slide

Avoid misleading the audience Equally spaced tick marks for unequal intervals Comparisons with different scales Bar graphs with no zero Figure not to scale Difference between curves

Data with uneven intervals

Data with even intervals

Comparison

Unequal intervals

Actuarial: Time handled correctly

Inconsistent Use of Color

Bar Graph with No Zero

Not drawn to scale

Draw the data to scale.

Number of police officers redrawn

Difference between Curves

Problems with tick marks and labels Too many labels Labels hard to read Tick marks not at round numbers Uneven number of decimal places Labels not proofread

Too many labels

No legend outside of text

Proofread Graphs

Linked Micro-maps Visualizing Data Patterns with Micromaps by Dan Carr and Linda Pickle