Using Data Visualization to Supercharge your Supply ChainSupply Chain Summit 2018 APICS Vancouver Chapter 1 November, 2018

Speaker: Joyce Lewis, MAEd, CPIM, CSCP, CLTD, C.P.M.APICS Master Instructor (CPIM / CSCP / IT / AIS)APICS Los Angeles Chapter PresidentInstructor, The Fresh ConnectionData Freak & Visual Learner: “VKA zero R”

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Presentation Agenda

Data Visualization Definitions… Purpose….

– Why the heck is this info valuable to your company or career?

Infographics: Compare / Contrast Understanding Optimal Data Visual Tool Selections Try to interpret the intended message…

Sprinkled within: Types of Excel Charts/Graphs Hints when creating a Basic Chart/Graph Learn to sparkline! (Golden Nugget)

PDF VERSIONSAMPLE SET REMOVED

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Viewer’s Choice…

What is Data Visualization? Types / Tools

Activities

Infographic? DV Tool Must-Haves

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What is Data Visualization?

Loosely defined: Techniques used to communicate data or information by encoding it as visual objects contained in graphics.

Purpose: Communicate information clearly and efficiently to users .

Key Requirements: Both aesthetics and functionality need to provide insights to complex data sets using intuitive means.

Based on: Cognition: ~ 2/3 of neurons can support visual processing

Success looks like: Communicating clearly while stimulating viewer engagement and attention.

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Foundation for Data Visualization

Vision trumps all other senses.- Brain Rules by John Medina (Rule #10)

IBM: 2.5 quintillion bytes of data . - 1 followed by 18 zeros

IDC: 163 zettabytes* of data by 2025*trillion gigabytes – International Data Corp

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Infographics v. Data Visualization

Information & Knowledge &

Data

Context-sensitive

Answers the ?sTells the story

**Visual Display**Animated **

Interactive ****Static .

Measured Qty Coordination system,

. points, lines, shapes,

. digits

Context-free

Lets viewersanswer the ?s

or tell thestory

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Data Visualization Tools

• Bar (Excel Column) / Line / Pie

• Dials / Gauges

• Cartogram or Geo(graphic) maps

• Error plots

• Box plots (Whisker)

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Data Visualization Tools (beginning with S)

• Spiderplot (Radar / Radial)

• Scatter-plot

• Stock plot

• Splines

• Sparklines

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Data Visualization Tool “Must-Haves”

Visually show the data

Focus the viewer on the substance instead of methodology, graphic design, technology use… or something else

Serve a reasonably clear purpose: description, exploration, tabulation or decoration

Reveal the data from a broad overview to a fine structure

Present many numbers in a small “space”

Make large data sets coherent and comparable

Be closely integrated with the statistical and verbal descriptions of a data set…

…Avoid distortion of the data

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Graphic (Charts) Do’s and Don’tsDo’s Don’ts Use the full axis (but start at 0 only when

appropriate) Overload the chart with too much info

Use two+ charts for wide ranges (PanelChart) – Zoom Feature in PPT

Make your audience visualize and calculate at the same time

Use consistent, consecutive intervals (for both x & y axis)

Use more than 6 colors on a chart or rainbows

Simplify to highlight (eliminate gridlines, data labels, etc.)

Skip time in a time series (keep the aspect ratio to avoid dramatic slopes)

Use titles, legends, and labels Use a legend for only one category Apply a squint test Use a shaded (gray) plot area Perceptually order values based on hue or

saturation (i.e. dark to light) but apply colors to different categories

Use 3D effects, blow aparts, gradients, shadows, glows, smoothed lines, excessive gap width, or exaggerated maximum y-values

Test for color blindness & gray scale Change styles or formats midstream Show predicted values using a dashed

border Show unnecessary precision (cents)

Ask for opinions Confuse correlation with causationSee: https://guides.library.duke.edu/datavis/topten

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Choosing An Effective Chart

Use Data Relationships… …In order to• Nominal Comparison

(Ranking)Compare Values

• Part to Whole Show Composition of Whole

• Distribution Understand the Distribution• Time Series Analyze Trends• Ordinal Comparison (Ranking)• Correlation (not Causation)• Deviation

Show Relationships between Value Sets

• Geospatial Comparison by location

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Optimal Data Visualization(valid until 1/10/18)

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Resources for your Data Visualization Journey

Data Visualization 101 - Online Article

ExcelJet.net - Tips & Daily Tricks

Duke University - https://guides.library.duke.edu/datavis/topten

European Environment Agency -– https://www.eea.europa.eu/data-and-maps/daviz/learn-more/chart-dos-and-donts#toc-1

Excel F1 Key – Help Sparklines

YouTube - Check the Excel Version!

Submit interest for courses to:

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Questions?