Visualization for Linguistic Research: Day 2 - Tools and Methods Olga Scrivner Course Info Methods Design Rules Tools Visualization for Linguistic Research: Day 2 - Tools and Methods Olga Scrivner Olga Scrivner 29th European Summer School in Logic, Language, and Information, Toulouse, 2017
Visualization Design, Methods and Tools - ESSLLI 2017 Workshop Day 2
Jan 23, 2018
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Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Visualization for Linguistic Research:Day 2 - Tools and Methods
Olga Scrivner
Olga Scrivner
29th European Summer School in Logic,Language, and Information, Toulouse, 2017
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
What You Will Learn
DAY 1 Introduction to Visual Analytics
DAY 2 Visualization Methods, Design, and Tools
DAY 3 Working with Unstructured Data
DAY 4 Working with Structured Data
DAY 5 Advanced Analytics
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Our Materials - Web Site
http:
//obscrivn.wixsite.com/visualization
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
What We Need
I Computer
I WiFi
I R and Rstudio (Installation)
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
What We Need
I Computer
I WiFi
I R and Rstudio (Installation)
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Visualization Selection - 5 min
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Visualization Selection - 5 min
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
How to Classify Different Visualization?
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Research Question
I Qualitative research
I Goals: gain insights, discover hidden patterns, exploreand generate ideas for quantitative analysis
I Data collection: unstructured, semi-structured(transcript, text)
I Quantitative research
I Goals: quantification of data, generalization, hypothesistesting
I Data collection: structured
http://atlasti.com/quantitative-vs-qualitative-research/
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Different Question Types
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Different Levels of Abstraction/Analysis
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Different Levels of Abstraction/Analysis
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Different Levels of Abstraction/Analysis
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Different Levels of Abstraction/Analysis
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Audience: Exploration versus Presentation
http://www.infovis-wiki.net/index.php?title=Exploratory_Analysis
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Data Format
1. Structured Data
2. Unstructured Data
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Variables
Variable - a measurable characteristic
I Independent variables
What you have control over and what you think maycause variation
I Dependent
what you measure and what is affected by other factors
Find dependent and independent factors - 5 min:
1. You are investigating R pronunciation variation in NewYork: you variables are R (deleted or present), stores(Macys, Klein, Sax), lexical items (fourth and floor)
2. You are studying word order variation in French: youvariables are age of speakers, gender, discourse(neutral, non-neutral), order (direct object+verb orverb+direct object)
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Variables
Variable - a measurable characteristic
I Independent variables
What you have control over and what you think maycause variation
I Dependent
what you measure and what is affected by other factors
Find dependent and independent factors - 5 min:
1. You are investigating R pronunciation variation in NewYork: you variables are R (deleted or present), stores(Macys, Klein, Sax), lexical items (fourth and floor)
2. You are studying word order variation in French: youvariables are age of speakers, gender, discourse(neutral, non-neutral), order (direct object+verb orverb+direct object)
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Variable Types - 5 min
Provide an example of linguistic/sociolinguistic variables foreach data type.
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Variable Types - 5 min
Provide an example of linguistic/sociolinguistic variables foreach data type.
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Data Mapping (Mackinley, 1987)
I Nominal
I Quantitative
I Ordinal
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Mapping: Quantitative Data
Based on slides by John Hart https://www.coursera.org/learn/datavisualization
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Mapping Perceptual Accuracy
Color Hue - wheel colorSaturation - intensityMackinlay, 1987 - https://research.tableau.com/sites/default/files/p110-mackinlay.pdf
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Mapping Data - Bar Chart
Based on slides by John Hart https://www.coursera.org/learn/datavisualization
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Mapping Data - Stacked Bar Chart
Based on slides by John Hart https://www.coursera.org/learn/datavisualization
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Mapping Data - Relative Stacked Bar Chart
Based on slides by John Hart https://www.coursera.org/learn/datavisualization
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Mapping Data - Line Chart
Based on slides by John Hart https://www.coursera.org/learn/datavisualization
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Mapping Data - Area Chart
Combination of a line and a stacked bar chart. The chartshows the total of the fields as well as their relative size toeach other
https://www.interworks.com/fr/blog/ccapitula/2014/11/13/
tableau-essentials-chart-types-area-charts-continuous-discrete
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Mapping Data - Scatter Plot
Based on slides by John Hart https://www.coursera.org/learn/datavisualization
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Mapping Data - Bubble Chart
Plot or technique to accentuate data on scatter plots ormaps
https://www.tableau.com/sites/default/files/media/which_chart_v6_final_0.pdf
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Mapping Data - Gantt Chart
Showing start/finish or over time use
Based on slides by John Hart https://www.coursera.org/learn/datavisualization
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Mapping Data - Pie Chart
I Indicates relative proportion of a quantitative dependentvariable
I Maps percentage of total to angle
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Mapping Data - Table
Based on slides by John Hart https://www.coursera.org/learn/datavisualization
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Mapping Data - Heatmap (Table)
Similar to a table with two categories. Colorsaturation/intensity shows where the intersection is weakeror stronger.
https://www.tableau.com/sites/default/files/media/which_chart_v6_final_0.pdf
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Mapping Data - Treemap (Hierarchical Table)
Shows hierarchical data as a proportion of a whole. Thischart uses a series of rectangles, nested within otherrectangles.https://www.tableau.com/sites/default/files/media/which_chart_v6_final_0.pdf
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Mapping Data - Box-and-Whisker Plot
Shows the distribution of a set of a data and how data isskewed towards one end, identifying outliers in your data.
1. Box - contains the median of the data along with the1st and 3rd quartiles
2. Whiskers - show maximum and minimum points withinthe data
https://www.tableau.com/sites/default/files/media/which_chart_v6_final_0.pdf
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Choosing a Good Chart
www.ExtremePresentation.com© 2009 A. Abela — [email protected]
Chart Suggestions—A Th ought-StarterCircular Area Chart Line Chart Column Chart Line Chart
Scatter Chart
3D Area Chart
Pie Chart Waterfall Chart Stacked 100% Column Chart with Subcomponents
Stacked Area ChartStacked 100%Area Chart
StackedColumn Chart
Stacked 100%Column Chart
Bubble Chart
Scatter Chart
Variable WidthColumn Chart
Table or Table withEmbedded Charts
Bar Chart Column Chart
Column Histogram
Line Histogram
Th reeVariables
TwoVariables
SingleVariable
Many PeriodsFew Periods
Two VariablesTwo VariablesTwo Variablesper Itemper Itemper Item
ManyManyManyCategoriesCategoriesCategories
One Variable per ItemOne Variable per ItemOne Variable per ItemOne Variable per Item
Among ItemsAmong ItemsAmong Items
What would youlike to show?
Many ItemsMany ItemsMany Items
Few CategoriesFew CategoriesFew Categories
Few ItemsFew ItemsFew Items
Many PeriodsMany PeriodsMany Periods
Cyclical DataCyclical DataCyclical DataCyclical Data Non-Cyclical DataNon-Cyclical DataNon-Cyclical Data
Few PeriodsFew PeriodsFew Periods
Single or Few CategoriesSingle or Few CategoriesSingle or Few CategoriesSingle or Few Categories Many CategoriesMany CategoriesMany CategoriesMany Categories
Over TimeOver TimeOver Time
ComparisonComparisonComparison
DistributionDistributionDistribution
FewDataDataData
Points
ManyDataData
Points
TwoVariablesVariablesVariables
Th reeVariablesVariablesVariables
RelationshipRelationshipRelationship
CompositionCompositionComposition
Simple ShareSimple ShareSimple Shareof Totalof Totalof Total
Accumulation orAccumulation orAccumulation orSubtraction to TotalSubtraction to TotalSubtraction to Total
ComponentsComponentsComponentsComponentsof Componentsof Componentsof Componentsof Components
StaticStaticStatic
Only RelativeOnly RelativeOnly RelativeDiff erences MatterDiff erences MatterDiff erences Matter
Relative and Absolute Relative and Absolute Relative and Absolute Diff erences MatterDiff erences MatterDiff erences Matter
Only RelativeOnly RelativeOnly RelativeOnly RelativeDiff erences MatterDiff erences MatterDiff erences MatterDiff erences Matter
Relative and Absolute Relative and Absolute Relative and Absolute Diff erences MatterDiff erences MatterDiff erences Matter
ChangingChangingChangingOver TimeOver TimeOver Time
http://extremepresentation.typepad.com/files/choosing-a-good-chart-09.pdf
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Map Your Research - Pair Work 10 min
I Go to the web sitehttp://obscrivn.wixsite.com/visualization
I Syllabus Day 2
I Select Charts Selection
I Review Choosing a Good Chart
I Map your own research data
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Perception Tricks
Lower elements influence perception of upper elements
Based on slides by John Hart https://www.coursera.org/learn/datavisualization
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Design Tricks - Size
Based on slides by John Hart https://www.coursera.org/learn/datavisualization
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Design Tricks - Size
Based on slides by John Hart https://www.coursera.org/learn/datavisualization
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Design Tricks - Size
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Design Tricks - Size
The horizontal lines are parallel, despite appearing to be atdifferent angles to each otherhttps://en.wikipedia.org/wiki/Caf%C3%A9_wall_illusion
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Design Tricks - Shade
The background progresses from dark grey to light grey. Thehorizontal bar appears to progress from light grey to darkgrey, but is in fact just one colorhttps://en.wikipedia.org/wiki/Optical_illusion
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Design Tricks - Shade
The background progresses from dark grey to light grey. Thehorizontal bar appears to progress from light grey to darkgrey, but is in fact just one colorhttps://en.wikipedia.org/wiki/Optical_illusion
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Design Tricks - Contrast
Exaggeration of the contrast between edges of slightlydifferent shades of grey
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Design Tricks - Contrast
Exaggeration of the contrast between edges of slightlydifferent shades of grey
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Design Tricks - Depth
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Tufte’s Design Rules - 10 min
Assignment - Design
go to http:
//obscrivn.wixsite.com/visualization/assignments
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Visualization Do’s and Don’ts
http://guides.library.duke.edu/topten
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Distortion
http://flowingdata.com/2012/08/06/fox-news-continues-charting-excellence/
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Do’s: Avoid Distortion
Use the full axis.
http://guides.library.duke.edu/datavis/topten
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Do’s: Consistent Intervals
The trend is distorted if you do not have even intervalsbetween your dates
http://guides.library.duke.edu/datavis/topten
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Do’s: Simplify
Highlight the most important: eliminate gridlines or reservecolor to isolate individual data series
http://guides.library.duke.edu/datavis/topten
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Don’ts: 3D
3D effects reduce comprehension
http://guides.library.duke.edu/datavis/topten
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Color-Blind Test - 10 min
Go to our site syllabus - assignment color-blind test
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Tools List - Pair work 15 min
http://selection.datavisualization.ch/
Go to Day 2 Syllabus and select Tools
I Explore at least five different visualization tools
I Filter by Charts, Data and Color
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Practice - Flashcards
Go to Syllabus Day 2 - IVMOOC flashcards app
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
See you tomorrow!
Visualization forLinguisticResearch:
Day 2 - Tools andMethods
Olga Scrivner
Course Info
Methods
Design Rules
Tools
Acknowledgments
Data Visualization MOOC course, University of Illinois atUrbana-Champaign -https://www.coursera.org/learn/datavisualization
IVMOOC, Indiana University-http://ivmooc.cns.iu.edu/
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