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

Slides:



Advertisements
Similar presentations
GRAPHICS Adding Visual Interest. Overview Tables Figures.
Advertisements

® Microsoft Office 2010 Excel Tutorial 4: Enhancing a Workbook with Charts and Graphs.
E FFECTIVE V ISUALS Tables Graphs Charts Illustrations.
Using Visual Rhetoric in Report Writing Professor Stevens Amidon Department of English and Linguistics, IPFW.
Chapter 14. Creating Graphics © 2004 by Bedford/St. Martin's1 Graphics Are Important in Technical Communication Because They Can: Help you communicate.
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.
Graphing Section 1.3. Why use graphs? Graph- used to make data easier to read and understand- shows patterns and trends.
Let's zoom in on one corner of the coordinate plane
Analytical Reports Analysis and Illustrating Report Data.
Designing Effective Graphics Using MATLAB The Cain Project in Engineering and Professional Communication ENGINEERING SERIES.
Charts and Graphs V
1 Effective Communication Through Graphs: The do's and don'ts. Juan Paulo Ramírez PPC Brown Bag Meeting 29 November 2007.
July, 2000Guang Jin Statistics in Applied Science and Technology Chapter 3 Organizing and Displaying Data.
CMPT 880/890 Writing labs. Outline Presenting quantitative data in visual form Tables, charts, maps, graphs, and diagrams Information visualization.
Graphs in Science You Can Do It!!!.
How do you know which chart to use? In this PowerPoint, each chart will be defined and described with an example of the data it is most appropriately.
P REPARING, D ESIGNING, D ELIVERING G REAT P RESENTATIONS 1.
Designing Graphics Strategic Planning for Visual Information in your Formal Report.
Quantitative Skills 1: Graphing
Integrating Graphics, Charts, Tables Into your technical writing documents.
Graphing in Science Class
Graphs Graphs are used to display data. They visually represent relationships between data. All graphs should have a title that identifies the variables.
Chapter 13 Creating Graphics. 2Chapter 13. Creating Graphics.
CHAPTER 14 WRITING AND PRESENTING THE SYSTEMS PROPOSAL.
Destroying the ART in CARTOGRAPHY: Mapping DON’TS by Dr. Miriam Helen Hill Jacksonville State University Jacksonville, Alabama.
1 Eric Rasmusen, March 10, 2014 Graphs and Tables.
Graphing Why? Help us communicate information : Visual What is it telling your? Basic Types Line Bar Pie.
Graphing Data: Introduction to Basic Graphs Grade 8 M.Cacciotti.
Graphing Data in Science Looking for a pattern. Why use a graph? Easier to analyze data Visualize patterns in the data Looks for trends.
Graphing.
Sort the graphs. Match the type of graph to it’s name.
Visual Display of Data Brad McMillen Evaluation and Research Department.
Graphing Basics Graphs are used to organize and analyze collected data. There are four types of graphs that are typically used in science: Data Table.
GrowingKnowing.com © Frequency distribution Given a 1000 rows of data, most people cannot see any useful information, just rows and rows of data.
Design Elements of Graphical Representation, (Factors supporting appearance and functionality of solutions). P0CCUAA.
Templates – Graphs US Business Group. General rules Presenter/timing Bar and column graphs Presenter/timing Line and combination graphs Presenter/timing.
Graphing In Science Graphing Graphs are a useful tool in science. The visual characteristics of a graph make trends in data easy to see. One of the most.
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.
The Scientific Method Tables, Charts and Diagrams.
GRAPHICS GUIDELINES MUSE/CE 11B Anagnos/Williamson From Pfeiffer, W.S Technical Writing: A Practical Approach. 5th Edition. Prentice Hall. New Jersey.
Chapter One, Section 5: Graphs in Science
Graphing Notes. Different Types of Graphs Tables, charts and graphs are convenient ways to clearly show your data.
Technical Communication A Practical Approach Chapter 13: Graphics William Sanborn Pfeiffer Kaye Adkins.
Surveillance and Population-based Prevention Department for Prevention of Noncommunicable Diseases Displaying data and interpreting results.
Effective Visuals Tables Graphs Charts Illustrations.
MATH 1107 Elementary Statistics Lecture 2 Frequency Distributions and Visualizations of Categorical Data.
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.
PowerPoint Etiquette What works in the world of presentations…color, fonts, and transitions.
Integrating Graphics, Illustrations, Figures, Charts.
CHART COMPONENTS Excel. COMPONENTS OF CHARTS AND GRAPHS ▪ The y-axis is the left vertical side of the graph. It contains the numerical data. ▪ The x-axis.
Organizing Qualitative Data
Chapter 15 : Communicating Evidence Visually
Graphing Data.
STAT 4030 – Jennifer Priestley, Ph.D. Programming in R
Century 21 Computer Skills and Applications
Module 6: Presenting Data: Graphs and Charts
CSc4730/6730 Scientific Visualization
Presenting Data.
Study these for your Scientific Method Test!!!!
Presentation graphics are the visualization of information and ideas
Presentation, layout and labeling
Graphing in Science Graphs are pictures of you data and can reveal patterns and trends in data.
Environmental Science
Designing Effective Graphics Using MATLAB
How to Start This PowerPoint® Tutorial
Organizing Qualitative Data
Charts Charts are used to present information so that it can be quickly and easily understood.
Presentation transcript:

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

Management Problem-Solving Scenario Scenario: You have to create a professional presentation for your client – can you do it? Do you know what NOT to do?

Challenger Disaster January 28, 1986 the Challenger Space Shuttle exploded killing 7 astronauts. Direct cause was the faulty seal of 2 rubber “O” rings. The indirect cause of the tragedy was poor data presentation.

Data Presentation Edward Tufte is considered the authority on the Visual Display of Quantitative Information. Some of his thoughts -  Clear and intelligent design not only reflects, but also spurs clear and intelligent thought.  Clutter and confusion are failures of design, not attributes of the information.  Bad graphics fail because they omit or manipulate context, deceive by discouraging comparison or obscuring important details.

Membership Mix Analysis – Projected Financial Impact Projected monthly dues will decrease over time - This graph manipulates the audience!

Membership Mix Analysis – Projected Financial Impact Projected monthly dues will decrease over time - This graph communicates the same information, but does not manipulate!

Membership Mix Analysis – Projected Financial Impact What the heck is this?

This graph is counterintuitive…

Please never do this…

Data Presentation Most data that you will be asked to present will be represented by one of the following: Line Graphs Column Graphs Bar Graphs Pie Graphs Regarding graphs – the graph should instantly communicate the message. Within presentations, graphs are generally displayed for 15 seconds. Therefore, the graph should be simple (no 3D!), and the data legible.

Data Presentation The line graph is the most common graph used to display data. The line graph should be used to communicate trends over time. If negative values need to be communicated, the line should fall below the x axis. Don’t use red unless the figures are negative.

Data Presentation Column Graphs highlight specific amounts for specific periods of time. The focus is on the quantity rather than the trend. As with line graph, if the values are negative, the values should fall below the x axis.

Data Presentation Bar Graphs focus on quantities of particular items. No time element. NOT a column graph on its side. Most underutilized graph.

Data Presentation Pie Charts show relationships of each part to the whole. Use sparingly. VERY rarely used in academia. Don’t use if more than 4 wedges. “…the only thing worse than a pie chart is several pie charts…” - Tufte

Data Presentation For more than four categories, use a table rather than a pie chart. NorcrossDallasChicagoAtlanta 2000 Units Produced Units Produced

Graph Components The Title –Use one or at most 2 lines. –Main Title should either be in ALL CAPS or in upper and lower case in bold. –Subtitle should be in smaller (but same) font. –Use Black or Blue.

Graph Components  Vertical Axis –Scale is the key –If 0 is not the lowest point on your graph, point this out to the audience. (This is one way to manipulate data) –Your scale should only go as high as necessary to contain the data. –Ensure that the units are labeled. –Never label a vertical axis vertically.

What the manager of the Dallas Plant might show to Senior Management…

What the manager of the Norcross Plant might show to Senior Management…

What should be shown…

Graph Components  Horizontal Axis Normally indicates time, or the independent variable. Ensure that the axis is labeled. Again, scale is the key.

GMAT scores go down with age… What is wrong with this graph?

Graph Components  Tick Marks and Grid Lines Use Sparingly – they can make the graph look too busy. Decrease the color (use gray rather than black). Err on the side of too few rather than too many.

Comparison of Tick Marks…

Conventions of Visual Design* Audiences read visuals from left to right Audiences read visuals from top to bottom Audiences read visuals from center to periphery Audiences assume that the items in the foreground are more important than items in the background. Audiences assume that large things are more important than small things Audiences assume that thick things are more important than thin things. Audiences assume that things with the same size, shape, color are related. Audiences assume that an item is important if it contrasts with the surroundings. Leslie S. Olsen and Thomas H. Huckin, Principles of Communication for Science and Technology (New York, McGraw Hill Book Co., 1983) (pg )

Guidelines for Using Color Less is Better! If in doubt, use black. Use color to – –Emphasize –Differentiate the data –Differentiate you (e.g., UPS=Brown…Home Depot=Orange) Generally, Black and Blue are used for Titles and Text. Red usually indicates a negative situation.

Guidelines for using color  Are members of your audience colorblind?  8% of all men and.5% of all women are colorblind  Colorblind people have difficulty seeing the following combinations: Red and green Red, brown and green Green, brown and gray Red and black Light blue and purple Pastels

Guidelines for using color If you cannot change the colors you have chosen, incorporate a simple pattern…