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Data Literacy > Communicating Data Insights > Flashcards

Communicating Data Insights Flashcards

1
Q

Four types of communication?

A

Written
Visual
Verbal
NonVerbal

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2
Q

What type of communication is anything written on a paper or presentation?

A

Written

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3
Q

What type of communication uses charts, graphs, pictures, and videos?

A

Visual

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4
Q

What type of communication encompasses actions such as posture, eye contact, facial expression, and gestures?

A

Nonverbal

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5
Q

What type of communication is anything spoken and heard?

A

Verbal

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6
Q

Developing a strong written communication skill requires two key concepts?

A

Appropriate format and Concise

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7
Q

What type of communication is the easiest format to consume and can hit a wider audience than written communication?

A

Visual

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8
Q

What is something not possible with traditional written and visual forms of communication?

A

Responding directly to audience needs

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9
Q

What type of communication illustrates how well the message is being performed?

A

Nonverbal communication

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10
Q

What is the deep understanding of a business issue or situation to uncover value?

A

Data Insights

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11
Q

How to obtaining insights?

A
  1. Collect Information
  2. Organize information
  3. Analyze information
  4. Determine action plan
  5. Communicate action plan
  6. Observe outcome
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12
Q

Best Practice: Tie insights back to common business objectives for better context.

A

True

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13
Q

Best Practice: Business context alone isn’t enough. Build a foundation of support.

A

True

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14
Q

Best Practice: Simplicity is essential. Break complex insights to smaller ideas.

A

True

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15
Q

What is the most important facet of communicating?

A

Your audience

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16
Q

Key questions to keep in mind with your audiences?

A
  1. What roles does your audience have?
  2. What does your audience already know?
  3. What does your audience need to know?
  4. How well does your audience know about you?
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17
Q

Translate information into a more accessible form to discover insights

A

Visualizations

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18
Q

Are the forefront of communicating data insights

A

Visualizations

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19
Q

Simplify the vast amount of information generated daily.

A

Charts and graphs

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20
Q

Show an aggregated view of our data, highlighting trends and patterns.

A

Visualizations

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21
Q

Positive effects of visualizations

A

Faster and better decision making
Wider appeal to decision makers
Shows more complete picture than simple aggregations

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22
Q

Bar charts and histograms look very similar, why?

A

Because both utilize bars of different heights to display information

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23
Q

How do bar charts and histograms differ?

A

Differ based on which kind of data they support.

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24
Q

Bar charts uses what kind of underlying data?

A

Categorical data

25
Q

Categorical data can be thought as what?

A

Labels for data points

26
Q

What type of chart displays bars with heights based on summary information?

A

Bar chart

27
Q

Most common summary information?

A

frequency or counts

28
Q

Histograms uses what kind of data?

A

Numerical Data

29
Q

The underlying data of histogram charts are what?

A

Broken into bins of equal size

30
Q

What does the height of each bin in the histogram represent?

A

frequency of data within the bin

31
Q

What is the goal of scatterplots?

A

Show the relationship between two numerical variables in a dataset

32
Q

The points in a scatterplot chart are arranged based on what?

A

Horizontal and vertical positions

33
Q

Relationship between variables are easier to detect in which type of chart?

A

Scatter plot

34
Q

What is the limitation of the basic bar chart?

A

Only display one category at a time.

35
Q

What bar chart allows more information and highlight additional insights by adding a second categorical variable?

A

Stacked bar chart

36
Q

What type of chart scales the data to 100%?

A

100% Stacked bar chart

37
Q

Visualizations aim to share general information that can be quickly understood and actioned.

A

True

38
Q

Overall trend information is more important than knowing exact details when constructing a visual.

A

True

39
Q

Data Story Distinctions:

A

Easier to understand
Inspire action
Retain information

40
Q

Stories increase engagement over raw data

A

true

41
Q

Method of communicating data insights tailored to a specific audience with an overarching narrative

A

Data Storytelling

42
Q

To tell a good story what are the three elements you will consider?

A

Visualization - share story familiar format
Context - shows story as part of larger effort
Narrative - gives the data a voice

43
Q

Share information quickly that is easy to understand and action

A

Visualizations

44
Q

Core of a data story

A

Visualizations

45
Q

Focus more on _______ and _________ over ________ details.

A

trends and patterns, specific details

46
Q

Shows audience broader picture

A

Context

47
Q

Focus on what is essential to understand

A

Context

48
Q

Unify data story with business objective and outcomes

A

Context

49
Q

People need to connect with the message to make decisions

A

Narrative

50
Q

Narrative objectives:

A

Give data a clear and convincing voice
Explain why insights are significant
Clearly outline next steps and inspire action

51
Q

Data Story telling has three key components that fall within four typical roles:

A

Subject matter Expert
Analyst
Visualizer
Reviewer

52
Q

Responsible for knowing the business problem completely

A

Subject matter expert (sme)

53
Q

Objectives of SME:

A

Develop narrative, giving data story a voice
Build context, relate data story to organizational efforts

54
Q

Blends art and science to create compelling visuals

A

Visualizer

55
Q

Group objectives of visualizaer:

A

Craft stunning visuals
Ensure insights are properly showcased

56
Q

Technical expert in charge of uncovering and supporting insights

A

Analyst

57
Q

Group objectives of analyst:

A

Support other roles
Answer Analytical questions
Does not require business expertise

58
Q

Evaluates the overall data story

A

Reviewer

59
Q

Group Objectives of a Reviewer:

A

Verifies assumptions
Gives overall impression of data story
Acts as sample audience

Data Literacy (9 decks)

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