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Data Literacy > Data Story telling > Flashcards

Data Story telling Flashcards

1
Q

Story telling is a proven method of communication because

A

Stories provoke emotion and emotion leads to change

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2
Q

What is a narrative?

A

A blending of facts and emotions

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3
Q

Building a blockbuster story steps (Freytag Model):

A

The exposition or problem is the first stage
Rising action
The climax of a story
Falling action
Resolution or conclusion

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4
Q

This is where it introduces the problem that must be solved.

A

The exposition or problem

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5
Q

Many events of the story take place. Tension and suspense are built.

A

Rising action

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6
Q

This is when all the tension that has been built up during the rising action is released dramatically.

The main characters overcome obstacles

A

The climax of a story

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7
Q

Occurs after the climax.
Most of the events foreshadow the last section of the story

A

Falling action

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8
Q

Conflict is finally resolved

A

The resolution or conclusion

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9
Q

What is a non-technical audience?

A

Group that is not familiar with technology discussed.

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10
Q

How to present to a non-technical audience?

A

Avoid jargons, and offer more visuals

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11
Q

Best way to ensure that you will communicate effectively?

A

Know your subject matter

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12
Q

How to know your subject matter?

A

Study how experts in your field communicate
If you can teach your subject then you understand it
Break it down to the most basic elements

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13
Q

By taking the audience’s perspective, what should we keep in mind?

A

What does your audience want to know
What problems is your audience trying to solve
Even non-technical people may be briefed by technical experts daily
Avoid technical jargon
Who is the decision maker?

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14
Q

Conciseness is the key, what should we bare in mind during this?

A

A simpler, concise approach is effective
Technical details work best in footnotes
Good text messages are clear and concise
Highlight just a few main points
Limit yourself to three or four sentences per statement
Use clear examples

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15
Q

What are operational insights?

A

Deal with day to day operations
Require technical knowledge but limited accountability

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16
Q

What are strategic insights?

A

require non-technical knowledge but greater accountability

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17
Q

What is the exposition of a story?

A

It starts a story.
Sets the mood, introduces characters
“Why are we here”
Can be dramatic or low-key depending on the situation
Data story relevance to your audience is key

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18
Q

Problem statement three elements:

A

Problem
Implied Method
Problem scope

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19
Q

Specific words or phrases that help your audience think and feel in a memorable way

A

Keywords

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20
Q

What is inductive reasoning?

A

The process of making predictions based on evidence.

Inductive reasoning leads to a new theory.

Specific observations to broad generalizations

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21
Q

What is Deductive reasoning?

A

Seeks to test an existing theory.

broad generalizations to Specific observations

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22
Q

Gives a way to solve the conflict

A

Resolution

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23
Q

Previously unrecognized patterns discovered during data analysis

A

Actionable Insight

24
Q

A prompt to encourage an immediate audience response

A

Call to action (CTA)

25
Q

Small Incremental changes

A

Kaizen

26
Q

Most commonly used visualization type

A

Charts

26
Q

Certain chart types works best with certain data types

A

true

27
Q

Visualization of numerical data divided into equal portions and presented as a circle

A

Pie Charts

28
Q

Can be used to compare two very distinct categories against each other

A

Pie Charts

29
Q

Disadvantage of pie charts

A

They do a poor job of comparing values with similar amounts

30
Q

Most common type of charts.

Show counts and frequency by category

A

Bar Charts

31
Q

When a pie chart is used, try a bar chart instead.

A

True

32
Q

Bar charts require less effort from your audience

A

True

33
Q

Best represent the relationship between two quantitative variables

A

Scatter plot

34
Q

Plot the observations using an x-axis and y-axis

A

Scatter plot

35
Q

Show if the relationship between two variables is positive, negative, or relatively neutral

A

Scatter plots

36
Q

Works well with time series data

Compare and contrast performance over time

A

Line chart

37
Q

Trends become easy to spot and analyze

A

Line chart

38
Q

Similar to line charts but fill the area between the line and the x-axis

A

Area charts

39
Q

Areas under a trend line are different colors for different categories

A

Area charts

40
Q

Trust between the data storyteller and the audience is a key

A

True

41
Q

Informing someone is merely reporting something in a clinical, passive manner

A

True

42
Q

Proper communication means the audience has complete comprehension of the message

A

True

43
Q

What is Dual coding?

A

Matches written, audible or visual cues in presentation or paper.

Leads to trust in your authority to tell the story.

44
Q

Best practices to build and maintain credibility and integrity

A

Consistency and a reputation for integrity are important to practice

Consider having a subject matter experts speak about specific visuals.

Cite your information from credible sources.

45
Q

What to avoid when building visuals?

A

Truncation without causation (avoid truncated y-axis)

46
Q

What is data density?

A

The ratio of the information displayed to how much space it occupies

47
Q

Ideal data density in a visualization is around 50%-60%

A

True

48
Q

What does creating a story board mean?

A

Selecting an order so that the charts mutually support each other, represent the narrative, and have an emotional impact.

49
Q

Questions to ask yourself while creating the storyboard?

A

Ask yourself how the visuals made you feel
Ask yourself if you are better informed after looking at the visuals
Ask yourself what you want your audience to think and feel

50
Q

Storyboard construction:

A

Sort visuals in terms of beginning, middle, and end
There’s one challenge and main message
Feel free to explore different timelines
Final result should be a clear, cohesive story, and message

51
Q
A
52
Q
A
53
Q
A
54
Q
A

Data Literacy (9 decks)

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