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VISUALIZATION OF
DATA
My mind map notes from #WIAD16
Speaker wasTroy Palanca
http://ph.linkedin.com/in/tjpalanca
What data is…
Data needs
Design Designers
Need to have mindset to communicate it
to others
What data is…
Data
weird
Just like
your
undergrad
thesis
People not needing it
People are not obliged to read your work
no matter how brilliant it is
There was a disconnect between really
good analysis vs. the academia and
research institutions
Standardized
collection of
Stories
Meaning
How data is processed…
Data
Standardized
collection of
stories
Add context
How bad really is Kuliat Public School in
relation to other public schools?
Say, Schools
Rows Columns
How bad really is Kuliat Public School in
relation to other public schools?
How is it
staffed?
No. of
rooms
No. of
students
dropped out
Stories of
each school
Budget per
student
Say, Schools
Rows Columns
How bad really is Kuliat Public School in
relation to other public schools?
How is it
staffed?
No. of
rooms
No. of
students
dropped out
Stories of
each school
Budget per
student
How is it in relation to other populations?
Say, Schools
Rows Columns
How bad really is Kuliat Public School in
relation to other public schools?
Add more context to the story…
Another example,
Rows Columns
Condensing State of the Nation
Addresses of Philippine Presidents
.. … ….
How much
they talk
about
certain
topics
Presidents
Looking at tweets,
Rows Columns
it reflects on how a business is run.
.. … ….
How much
they talk
about
certain
topics
Presidents
Create interesting stories…
See the bigger picture instead of one the individual story
Looking at tweets, it reflects on how a business is run.
Create interesting stories…
See the bigger picture instead of one the individual story
Emotion
polarity of
tweets
Air Asia Cebu Pacific PAL
5 steps to story telling…
Define row/
protagonists
Define
elements of the
story
Collect data Tell the story Visualize
1 2 3 4 5
5 steps to story telling…
Define row/
protagonists
1
1 2 3 4 5
Schools Country
5 steps to story telling…
Define elements of the
story.
2
1 2 3 4 5
What do you want to
know of the
protagonists?
5 steps to story telling…
Collect data
3
1 2 3 4 5
Define what you want
to do
5 steps to story telling…
Tell the story
4
1 2 3 4 5
5 steps to story telling…
Visualize
5
1 2 3 4 5
Why need this?
Builds trust
Keeps abstraction to
a minimum
Facilitates info
assessment
Beneficiaries vs.
Population of poor
areas
Cognitive overload
when reading a
table instead
Ways to analyze data…
Exploratory Descriptive
Inferential/
Predictive
a b c
Ways to analyze data…
Exploratory Descriptive
Inferential/
Predictive
a b c
Display all info available
without removing info
Leads to higher trust No bias Less control
Ways to analyze data…
Exploratory Descriptive
Inferential/
Predictive
a b c
Processed to show
subset of data
Less trust
Processed to make it
useful
Ways to analyze data…
Exploratory Descriptive
Inferential/
Predictive
a b c
Lots of control to show
audience
Making conclusions
Visualizing
Cartesian
Elements – deliberate design
Polar
coordinates
Points
Columns
Bars
Coordinates Geometries Aesthetics
Color
Size
Width
Shape
Mapped to a data value
Should represent
something
If it’s not ‘mappable’, don’t map it.
We want as much information density as
possible
But we don’t want to put all the information there.
Visualize these…
Financial habits of Filipino
household
Election data
Why do this?
Filipinos have problem with
scale
Most organizations have
small windows to get to see
what people are doing.
They do well in coordination
but once it increases in size,
dysfunction settles in
Lacks trust
Lack of common
data/ info
available
Bureaucracy Nationalism
Patronage
politics
Little kingdoms Control

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Visualization of Data Mind map

  • 1. VISUALIZATION OF DATA My mind map notes from #WIAD16 Speaker wasTroy Palanca http://ph.linkedin.com/in/tjpalanca
  • 2. What data is… Data needs Design Designers Need to have mindset to communicate it to others
  • 3. What data is… Data weird Just like your undergrad thesis People not needing it People are not obliged to read your work no matter how brilliant it is There was a disconnect between really good analysis vs. the academia and research institutions Standardized collection of Stories Meaning
  • 4. How data is processed… Data Standardized collection of stories Add context How bad really is Kuliat Public School in relation to other public schools?
  • 5. Say, Schools Rows Columns How bad really is Kuliat Public School in relation to other public schools? How is it staffed? No. of rooms No. of students dropped out Stories of each school Budget per student
  • 6. Say, Schools Rows Columns How bad really is Kuliat Public School in relation to other public schools? How is it staffed? No. of rooms No. of students dropped out Stories of each school Budget per student How is it in relation to other populations?
  • 7. Say, Schools Rows Columns How bad really is Kuliat Public School in relation to other public schools? Add more context to the story…
  • 8. Another example, Rows Columns Condensing State of the Nation Addresses of Philippine Presidents .. … …. How much they talk about certain topics Presidents
  • 9. Looking at tweets, Rows Columns it reflects on how a business is run. .. … …. How much they talk about certain topics Presidents Create interesting stories… See the bigger picture instead of one the individual story
  • 10. Looking at tweets, it reflects on how a business is run. Create interesting stories… See the bigger picture instead of one the individual story Emotion polarity of tweets Air Asia Cebu Pacific PAL
  • 11. 5 steps to story telling… Define row/ protagonists Define elements of the story Collect data Tell the story Visualize 1 2 3 4 5
  • 12. 5 steps to story telling… Define row/ protagonists 1 1 2 3 4 5 Schools Country
  • 13. 5 steps to story telling… Define elements of the story. 2 1 2 3 4 5 What do you want to know of the protagonists?
  • 14. 5 steps to story telling… Collect data 3 1 2 3 4 5 Define what you want to do
  • 15. 5 steps to story telling… Tell the story 4 1 2 3 4 5
  • 16. 5 steps to story telling… Visualize 5 1 2 3 4 5 Why need this? Builds trust Keeps abstraction to a minimum Facilitates info assessment Beneficiaries vs. Population of poor areas Cognitive overload when reading a table instead
  • 17. Ways to analyze data… Exploratory Descriptive Inferential/ Predictive a b c
  • 18. Ways to analyze data… Exploratory Descriptive Inferential/ Predictive a b c Display all info available without removing info Leads to higher trust No bias Less control
  • 19. Ways to analyze data… Exploratory Descriptive Inferential/ Predictive a b c Processed to show subset of data Less trust Processed to make it useful
  • 20. Ways to analyze data… Exploratory Descriptive Inferential/ Predictive a b c Lots of control to show audience Making conclusions
  • 21. Visualizing Cartesian Elements – deliberate design Polar coordinates Points Columns Bars Coordinates Geometries Aesthetics Color Size Width Shape Mapped to a data value Should represent something
  • 22. If it’s not ‘mappable’, don’t map it.
  • 23. We want as much information density as possible But we don’t want to put all the information there.
  • 24. Visualize these… Financial habits of Filipino household Election data
  • 25. Why do this? Filipinos have problem with scale Most organizations have small windows to get to see what people are doing. They do well in coordination but once it increases in size, dysfunction settles in Lacks trust Lack of common data/ info available Bureaucracy Nationalism Patronage politics Little kingdoms Control