Comprehensive FA Review 2025 (MBA) Data
Driven Decision Marking MGMT 6010
(GRADED A+)
How many graphics of the same story should you make? - ANS✔✔---Make many
simple ones about the same story
-Do this until you find the right one
Larry Silverstein - ANS✔✔---Strategic Visualization Consultant
Cross-Tab Report - ANS✔✔---Good for when you have to look up information, but it
is not very effective.
-With Red value cues it could be a little better, but not much.
Visual Cortex - ANS✔✔--Thinking is slow. Seeing is FAST
-Cerebral Cortex (Thinking)
-Visual Cortex (Seeing)
Why Visualize data? - ANS✔✔---Good way to communicate complex information
-People are highly visual animals, who evolved to spot patterns and make visual
comparisons
What does Visualize Data with Visual Cues mean? - ANS✔✔---Encoding Data with
visuals or "Mapping" it on a variation of size, shape, or color, etc.
Examples of ways to Visualize Data? - ANS✔✔---Length (diff size lines)
-Slope /
-Color Hue (Color pallets)
-Volume (3D)
-Angle (V)
-Length (Aligned)
-Area (oO0)
-Color Intensity (Same color light to deep)
William Cleveland and Robert McGill - ANS✔✔---Statisticians in the 1980's tested to
see how well perceived the quantitative info encoded by diff cues' would be.
Perceptual Hierarchy of Visual cues - ANS✔✔--1. Length (Aligned)
2. Length
3. Slope or Angle
4. Area or Color intensity
5. Volume
, 6. Color hue
When comparing continuous variables, aim to use cues like #1 on the scale. Examples
are bar graphs when comparing numbers.
What to use when composition (parts of a whole) is present? - ANS✔✔---Pie Chart
(However, if there are 3 or more parts to the story you may consider abandoning this
method, as it becomes hard to read)
-Square charts may be a good method for composition with just categories.
-Treemap: uses the are to encode the size of parts of a the whole.
What to use when composition (Change over time) is present? - ANS✔✔---Good for
when you are showing how parts of a whole are changing overtime. Can also show
change in size of the whole.
-Stacked column format (with no spaces)
-The parts-of-the-whole equivalent of the line chart
Network Graphs - ANS✔✔---Can answer "location"
-Can show connections
-Can show who gave money to who, companies connections to each other, Network
intricacies.
Hairball - Network Graphs - ANS✔✔---Complex Network graphs can be hard to read
will be dubbed by this name.
-These will need to be filtered if you wish to tell your audience a clear story.
Heat Maps - ANS✔✔---Gives quick/easy way to scan for countries and years if
looking at highest rate of something for example.
Using Color Effectively? - ANS✔✔---Low on the hierarchy of perceptual visual cues
-Often deployed to highlight particular elements of a chart or encode data values
-Poor choice of color schemes is a problem
-you should take your time to determine how to most effectively use color.
-Harmonica color and think of the "color wheel" for contrasts.
What should you consider when encoding data with color? - ANS✔✔---Fit the color
scheme to your data, and the story you are aiming to tell
-Color is used to encode categorical data
-Use "Qualitative" color schemes, where the aim is to maximally distinguish color
around the color wheel.
Driven Decision Marking MGMT 6010
(GRADED A+)
How many graphics of the same story should you make? - ANS✔✔---Make many
simple ones about the same story
-Do this until you find the right one
Larry Silverstein - ANS✔✔---Strategic Visualization Consultant
Cross-Tab Report - ANS✔✔---Good for when you have to look up information, but it
is not very effective.
-With Red value cues it could be a little better, but not much.
Visual Cortex - ANS✔✔--Thinking is slow. Seeing is FAST
-Cerebral Cortex (Thinking)
-Visual Cortex (Seeing)
Why Visualize data? - ANS✔✔---Good way to communicate complex information
-People are highly visual animals, who evolved to spot patterns and make visual
comparisons
What does Visualize Data with Visual Cues mean? - ANS✔✔---Encoding Data with
visuals or "Mapping" it on a variation of size, shape, or color, etc.
Examples of ways to Visualize Data? - ANS✔✔---Length (diff size lines)
-Slope /
-Color Hue (Color pallets)
-Volume (3D)
-Angle (V)
-Length (Aligned)
-Area (oO0)
-Color Intensity (Same color light to deep)
William Cleveland and Robert McGill - ANS✔✔---Statisticians in the 1980's tested to
see how well perceived the quantitative info encoded by diff cues' would be.
Perceptual Hierarchy of Visual cues - ANS✔✔--1. Length (Aligned)
2. Length
3. Slope or Angle
4. Area or Color intensity
5. Volume
, 6. Color hue
When comparing continuous variables, aim to use cues like #1 on the scale. Examples
are bar graphs when comparing numbers.
What to use when composition (parts of a whole) is present? - ANS✔✔---Pie Chart
(However, if there are 3 or more parts to the story you may consider abandoning this
method, as it becomes hard to read)
-Square charts may be a good method for composition with just categories.
-Treemap: uses the are to encode the size of parts of a the whole.
What to use when composition (Change over time) is present? - ANS✔✔---Good for
when you are showing how parts of a whole are changing overtime. Can also show
change in size of the whole.
-Stacked column format (with no spaces)
-The parts-of-the-whole equivalent of the line chart
Network Graphs - ANS✔✔---Can answer "location"
-Can show connections
-Can show who gave money to who, companies connections to each other, Network
intricacies.
Hairball - Network Graphs - ANS✔✔---Complex Network graphs can be hard to read
will be dubbed by this name.
-These will need to be filtered if you wish to tell your audience a clear story.
Heat Maps - ANS✔✔---Gives quick/easy way to scan for countries and years if
looking at highest rate of something for example.
Using Color Effectively? - ANS✔✔---Low on the hierarchy of perceptual visual cues
-Often deployed to highlight particular elements of a chart or encode data values
-Poor choice of color schemes is a problem
-you should take your time to determine how to most effectively use color.
-Harmonica color and think of the "color wheel" for contrasts.
What should you consider when encoding data with color? - ANS✔✔---Fit the color
scheme to your data, and the story you are aiming to tell
-Color is used to encode categorical data
-Use "Qualitative" color schemes, where the aim is to maximally distinguish color
around the color wheel.
