structured data presentation
Post on 06-May-2015
721 Views
Preview:
TRANSCRIPT
An Introduction to Structured Data PresentationNew Perspectives on Old Data
Shawn DayDigital Humanities Observatory
14 November 2012
http://www.slideshare.net/shawnday/structured-data-presentation
Objective
To appreciate the variety of structured data presentation tools available to digital humanities scholars and to be able to judge between them.
AgendaData Presentation versus Data Analysis?
The ReadingsExhibit Thesis
The Data Vis Challenge to the Humanities
Products to be have an awareness of
Hands On Install and ConfigExhibit
OMEKA?
The Two Faces of Data Visualisation
One of the keys to good visualization is understanding what your immediate (and longer term) goals are.
Are you visualizing data to understand what’s in it, or are you trying to communicate meaning to others?
You - Visualisation for Data Analysis
Others - Visualisation for Presentation
Information Visualisation:Challenge for the Humanities
To use the vast stores of digitised data we are collecting we need to develop a digital fluency
Access
Exploration
Visualisation
Analysis
Collabouration
The ChallengesDeveloping new genres for complex info presentation
creating a literacy that has same rigour and richness as current scholarship
expanding text-based pedagogy to include simulation, animation and spatial and geographic representation
The OpportunityBalance complexity with conciseness
Balance accuracy with essence
Speak authoritatively, yet inspire exploration and personal insight
A Short HistoryOriginated in Computer Science
Disseminated into broader scientific realm
A late comer to the humanities
Tufte: concise - clear - accurate
William Playfair (1758 - 1823)bar chart
pie chart
time series
This is a file from the Wikimedia Commons.
John Snow (1813 - 1858)Dot Plot
Spatial Analysis
This is a file from the Wikimedia Commons
Charles Minard (1781 - 1870)Flow Diagram
Multi-Vector Information Visualisation
This is a file from the Wikimedia Commons
Tools for collection are far more successful to date than those for exploration
New InfluencesSimulation - 3D What if?
Monitor - Real time data
Collabouration - Many Eyes
The Challenges to the Use of Visualisation
Too Easy to confuse, miscommunicate or downright lie
Break or lack basic visual design principles
Fail to understand the data, the audience or the problem being solved
Fail to appreciate the visceral or emotional power of graphics
Lack of technical skills in this domain
Structured Data Presentation Tools(a tiny subset)
WebservicesTimeFlow
Google Fusion Tables
Many Eyes
HostedOmeka (Omeka)
FrameworksGephi
Exhibit (Exercise)
GraphViz
Prefuse
D3
Processing
TimeFlow
Google FusionTables
Many Eyes
Hands-On Exercise: Simile Exhibit
Looking at Exhibit
Setup and PreparationDo Not Use Safari - Firefox or Chrome should be fine
You can find instructions at: http://myeye.ie/ftp1/exhibit/recipe.txt
Need to copy datafiles:http://myeye.ie/ftp1/exhibit/nobelists.js?action=raw
http://myeye.ie/ftp1/exhibit/index1.html
X
Background on Exhibit
Exhibit was developed at MIT to provide a lightweight framework for the presentation, searching and faceted browsing of digital collections. Exhibit lets you easily create web pages with advanced text search and filtering functionalities, with interactive maps, timelines, and other visualizations
Little programming (JavaScript Template);
No database (JSON text);
a series of useful ‘instantly interactive’ visualisations.
So What?...
Backgroundhttp://www.simile-widgets.org/exhibit/
A couple examples…Canadian Network for Economic History
Comox Valley Crime Stoppers
Research at the DHO
DHO: Discovery
Exhibit in a Nutshell
The Simplest Exhibit<html>
! <head>
! ! <title>MIT Nobel Prize Winners</title>
! ! <link href="nobelists.js" type="application/json" rel="exhibit/data" />
! ! <script src=http://static.simile.mit.edu/exhibit/api-2.0/exhibit-api.js type="text/javascript"></script>
! <style></style>
! </head>
! <body>
! ! <h1>MIT Nobel Prize Winners</h1>
! ! <table width="100%”>
! ! <tr valign="top”>
! ! <td ex:role="viewPanel”><div ex:role="view"></div></td><td width="25%”>browsing controls here… </td></tr>
</table>
</body>
</html>
The Data {
"items" : [
{ type : "Nobelist",
label : "Burton Richter",
! ! ! latlng: "42.359089,-71.093412",
discipline : "Physics",
shared : "yes",
"last-name" : "Richter",
"nobel-year" : "1976",
relationship : "alumni",
"co-winner" : "Samuel C.C. Ting",
"relationship-detail" : "MIT S.B. 1952, Ph.D. 1956",
imageURL : "http://nobelprize.org/nobel_prizes/physics/laureates/1976/richter_thumb.jpg"
},
………
]
}
The Simplest View
Add Faceted BrowsingExplore data in context
Filter data by attributes
Faceted Browsing Code <div ex:role="facet" ex:expression=".discipline" ex:facetLabel="Discipline"></div>
<div ex:role="facet" ex:expression=".relationship" ex:facetLabel="Relationship"></div>
<div ex:role="facet" ex:expression=".shared" ex:facetLabel="Shared?"></div>
<div ex:role="facet" ex:expression=".deceased" ex:facetLabel="Deceased?"></div>
Add Search and Sort
Search Code
<div ex:role="facet" ex:facetClass="TextSearch"></div>
Add a Table View
Table Code<div
ex:role="exhibit-view”
ex:viewClass="Exhibit.TabularView” ex:columns=".label, .imageURL, .discipline, .nobel-year, .relationship-detail”
ex:columnLabels="name, photo, discipline, year, relationship with MIT”
ex:columnFormats="list, image, list, list, list”
ex:sortColumn="3”
ex:sortAscending="false">
</div>
Add a Timeline
Timeline Code<script src="http://static.simile.mit.edu/exhibit/extensions-2.0/time/time-extension.js"
type="text/javascript"></script>
+
<div ex:role="view" ex:viewClass="Timeline" ex:start=".nobel-year" ex:colorKey=".discipline"></div>
Add a Map View
Wrapup: ExhibitPros
Simple
Lightweight
No server required
A host of visualisations
Embeddable in other systems - ExhibitPress
ConsLimited Scalability
Some cross-browser issues
Restrictions on Look and Feel
Extensive customisation means getting into code
Here comes Exhibit 3
Moving Beyond with ExhibitEnsemble Project Advanced Tutorial:
http://ensemble.ljmu.ac.uk/q/calbooklet
Omeka Basics
ItemRepresentations
Metadata TypeTag(s)Item
Representations
Metadata TypeTag(s)Item
Representations
Metadata TypeTag(s)
Collection(s)
ExhibitMetadata
OAI/PMH
CSV
etc...
SectionPage
Page
SectionPage
Page
OMEKAhttp://iridium.omeka.net/exhibits/show/carlingford/day1
http://www.omeka.net/dashboard
Omeka.org versus Omeka.net
Sign-Up at: http://www.omeka.net
Where to go nexthttp://datajournalism.stanford.edu/
Bamboo - DIRT (Digital Research Toolkit)
Timeline Tools
Visualisation in Education
Visual Complexity
http://www.autodeskresearch.com/projects/citeology
Academic Visualisation?There’s lots of published papers out there...what can you do with them?
The Life on An Idea through Citations
1. Show the Data
2. Provoke Thought about the Subject at Hand
3. Avoid Distorting the Data
4. Present Many Numbers in a Small Space
5. Make Large Datasets Coherent
6. Encourage Eyes to Compare Data
7. Reveal Data at Several Levels of Detail
8. Serve a Reasonably Clear Purpose
9. Be Closely Integrated with Statistical and Verbal Descriptions of the Dataset
Data Visualisation Lessons from Tufte
Connecting your data with the right visualisation
What is your message?
How do we know what we might use?
Start with your Exploratory/Research/Analytical Environment (last seminar)
How do visuals fit into your narrative?
What Visual Techniques Exist?
Connecting your data with the right visualisation
What Visual Techniques Exist?
Thanks for your attention
top related