Download What is the visualization looking for? Some reflections in qualitative

WHAT IS THE VISUALIZATION
LOOKING FOR? SOME REFLECTIONS
IN QUALITATIVE SOFTWARE TOOLS
EVOLUTION
CAQDAS CONFERENCE 2014: PAST, PRESENT & FUTURE
25 YEARS OF CAQDAS
SURREY, ENGLAND
César A. Cisneros Puebla
Professor at Department of Sociology. UAM Iztapalapa
Director of Qualitative Computing Consultancy
México
In the 25th celebration of CAQDAS a
question arises on my qualitative
software user´s mind: What is the
visualization looking for in the field of
qualitative inquiry?
Connections between social sciences
and visualizations have been scarcely
explored and some discussions are
emerging today
Outline
1.
2.
3.
Some images from CAQDAS knowledge
representation
Some influences from other fields of research
and/or knowledge
Some current and future challenges
SOME IMAGES FROM CAQDAS
KNOWLEDGE REPRESENTATION
QUALITATIVE COMPUTING
TIMELINE (DECADES)
 1980:
mostly of literature was written to
convince researches about using it
 1990: discussions on epistemological
implications of use computers
 2000: discussions based on empirical
analysis of using programs or evaluation
of some software tools
 2010: high competition but strategies for
interchangeability and migration of
projects between software programs
INDEX THREE, V.GR
MAXMAPS: DIFFERENT APPROACH
QSR: MODELLING STRATEGIES
ATLAS.TI: NETWORK VIEWS
NVIVO: GRAPHICS
SOME INFLUENCES FROM OTHER
RESEARCH AND/OR KNOWLEDGE
FIELDS
What is visualization for me in this context?
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Is a new discipline to make sense of complex issues
as Information Visualization coined by Jock
Mackinlay (Using vision to think). TABLEAU
Visualization transforms from the invisible to the
visible
Visualization produces an image
The result must be readable and recognizable
Visualizations makes data accessible (Noah Iliinsky)
A community of creative people making sense of
complex issues through data and design as at
http://www.visualizing.org/
What is the autorithy of the image?
The most fundamental data analysis approaches
are:
 visualization (histograms, scatter plots, surface
plots, tree maps, parallel coordinate plots, etc.)
 statistics (hypothesis test, regression, PCA, etc.)
 data mining (association mining, etc.)
 and machine learning methods (clustering,
classification, decision trees, etc.).
WORDLE
WORD TREE
HEATING MAPS
TEXTUAL ANALYTICS: PROXIMITY PLOTS
SOME CURRENT AND FUTURE
CHALLENGES
GROUP QUERY
TREE MAP
WHAT IS DATA?

What is data?
Geodata,
 Video and audio data
 Temporal data
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Visualization and visual arts
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Geonarratives
Aesthetics of infographics vs visualization
Hans Rosling and Gapminder
 Visual explanations and Edward Tufte
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“Simplicity is the ultimate sophistication”
Leonardo da Vinci
 WWW and infographics

David McCandless one of the new visualizing
information´s guru
.
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Making the data juicy….
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How?
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Merging data, concepts, visual design and story-telling