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Data Viz > Module 2 > Flashcards

Module 2 Flashcards

1
Q

Name the types of Data Visualization:

A
  • Comparison
  • Composition
  • Distribution
  • Relationship
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2
Q

This type shows the dependence and relationship between two or more datasets.

A

Comparison

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3
Q

Best type of comparison representation:

A

(LCBT)
- Line
- Column
- Bar
- Two-Axis

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4
Q

Common applications of comparison include:

A
  • Time-series data
  • Differentiating trends
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5
Q

This is the number of respondents to a survey per day over a one-month period or travel time across the city depending on the time of day.

A

Time-series data

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6
Q

This is a visual representation of data that highlights distinct patters or trends within the data set. This type of chart is used to emphasize specific trends or variations in the data that may not be immediately apparent in a standard trend chart.

A

Differentiating trends

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7
Q

This type shows how data is a part of a whole.

A

Composition

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8
Q

Best type of composition representation:

A

(PWDSS)
- Pie
- Waterfall
- Donut
- Stacked Column
- Stacked Area

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9
Q

Common applications of composition include:

A
  • Displaying residence of members in a group
  • Cookie recipe
  • Any mixture of products made up of several components, which you want to show each amount.
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10
Q

This type shows outliers in data while it shows common items subdivided across several categories or features.

A

Distribution

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11
Q

Best type of distribution representation:

A

(LCST)
- Line
- Column
- Scatter
- Two-Axis

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12
Q

This type shows an implicit relationship between data or variables.

A

Relationship

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13
Q

Best type of relationship representation:

A

(BST)
- Bubble
- Scatter
- Two-Axis

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14
Q

Common applications of relation include:

A
  • show the number of constituents per barangay as a basis for evaluating congestion or distribution of service per area.
  • show mileage and fuel prices over time.
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15
Q

__________ and __________ types provide descriptive information.

A

Composition and Comparison

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16
Q

__________ and __________ types require more in-depth communication which may result in a diagnosis, prescriptive or predictive analysis.

A

Distribution and Relation

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17
Q

Data Visualization -> ?

A

information

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18
Q

Data Storytelling -> ?

A

communication

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19
Q

The two words– _________ and _________ are often used _________, but they signify quite different things.

  • Sydney J. Harris
A

information, communication, interchangeability

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20
Q

Information is _________ while communication is _________.

A

giving out, getting through

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21
Q

Name the components of a good presentation:

A
  • Content
  • Human Element
  • Structure
  • Packaging
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22
Q

It is the heart of any presentation; the vital element that all other components will enhance.

A

Content

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23
Q

A good presentation requires a fair amount of ________.

A

content

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24
Q

The objective of a presentation is to __________.

A

convey your message

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25
Q

Your presentation has to be ___________ as well as ___________.

A

understood and remembered

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26
Q

Content checklist:

A

(What-Who-How)
- What will you present
- Who are you presenting to
- How to measure results of the presentation

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27
Q

True or False
It’s also important to know how much time you have to present.

A

True

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28
Q

True or False
Content may not always bear the truth.

A

False - content must always be truthful

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29
Q

True or False
Content should always come out with facts and proof

A

True

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30
Q

True or False
Your content when presented to an audience can never become their reality.

A

False - it can become their reality

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31
Q

True or False
People will make decisions depending on your content.

A

True

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32
Q

True or False
We are visually wired and respond quickly to visual cues.

A

True

33
Q

True or False
It is not really vital to incorporate the truthfulness of your data.

A

False - it is vital and sound to incorporate truthfulness in data

34
Q

Name the principles of effective content:

A

(3Ps)
- Purpose
- People
- Preparation

35
Q

This principle states that you have to formulate a precise objective and identify why and what you want to present.

A

Purpose

36
Q

Things to ask for purpose:

A

(do-know-do-feel)
- What do I want to do?
- What do I want my audience to know?
- What do I want my audience to do?
- How do I want my audience to feel?

37
Q

This states to create an outline by listing as many things as you can of what you want to include in your presentation.

A

Purpose

38
Q

True or False
Purpose states to give yourself time to layout everything. You can subdivide it into categories of parts.

A

True - to find purpose is to give yourself time

39
Q

This implores you to get to know your audience and to remember to consider the audience to achieve your objective.

A

People

40
Q

True or False
Associating your personality with your message in a positive way is within Purpose.

A

False - it is within People | personality = People

41
Q

True or False
In the 3Ps, People says that you are the star of the show.

A

False - You are not the star of the show | nihilism

42
Q

This wants you to make the audience to feel comfortable or familiar, to provide a particular service.

A

People

43
Q

The element of content that talks about motivating the audience to do something or inspire/challenge them to try something new.

A

People

44
Q

Part of the 3Ps where you plan the facts, style, pace, tone, tactics, and practice a lot.

A

Preparation

45
Q

True or False
Preparation must begin as soon as you agree to the presentation.

A

True

46
Q

In preparation, the key is in the __________.

A

details

47
Q

Things to ask for preparation:

A

(When-How-What)
- When are you giving the presentation?
- To how many people?
- Remote or in person - if that is allowed - and what do you wear?

48
Q

True or False
Writing a script will not help you with preparation.

A

False - it would help if you write yourself a script.

49
Q

This allows you to play with the delivery - focus on tone and pace.

A

preparing a script

50
Q

True or False
Adding some variety keeps your audience interested.

A

True

51
Q

True or False
Good preparation is the key to confidence

A

True

52
Q

True or False
It is better to play to your strengths than to dwell on what didn’t work.

A

True

53
Q

What zone is the part where you seem like you don’t know what to do or where to start?

A

Red zone

54
Q

What zone is the part where you begin putting things together and gradually get into a rythm?

A

Green zone

55
Q

What zone is the moment you think it’s enough but you give it a little more just to the point it becomes too much then it takes a fall.

A

Brown zone

56
Q

Who wrote Storytelling with Data?

A

Cole Nussbaumer Knaflic

57
Q

What did Cole Nussbaumer Knaflic develop in 2010?

A

Base Camp

58
Q

True or False
Cole Nussbaumer Knaflic likes pie charts.

A

False - she HATES pie charts

59
Q

What is Cole Nussbaumer Knaflic talk at Google titled?

A

Storytelling with Data: A Data Visualization Guide for Business Professionals

60
Q

Who led Project Oxygen?

A

Mr. Neil Patel

61
Q

What is Project Oxygen?

A

a study to understand on a mathematical and statistical level what makes managers effective.

62
Q

Name the two types of analysis:

A
  • Exploratory
  • Explanatory
63
Q

This analysis starts with a question or hypothesis, digging through data, trying to understand what’s interesting. What can you learn about this data that somebody else might care about?

A

Exploratory

64
Q

This analysis analyzes something specific you want to communicate to somebody.

A

Explanatory

65
Q

True or False
We don’t fully see with our eyes, rather, most of visual processing takes place in the brain.

A

True

66
Q

Name the two key lessons of Cole Nussbaumer Knaflic;s talk:

A
  • Focus Attention
  • Tell a Story
67
Q

It is shorter than short-term memory, the information stays there for fractions of a second before going to the short-term memory.

A

Iconic Memory

68
Q

It helps our audience see what we want them to see before they even know they’re seeing it.

A

Pre-Attentive Attributes

69
Q

Test where you look away and back at your visual.

A

Where Are Your Eyes Drawn Test (WAYEDT)

70
Q

True or False
A lot of color is good for data visualizing.

A

False - people will get distracted with too many colors

71
Q

Use _______________ to draw attention to one part of the story.

A

pre-attentive visual cues

72
Q

Color has the ability to _____________ and _____________.

A

impart tone and incite emotions

73
Q

True or False
Data without story isn’t meaningful.

A

True

74
Q

Craft narratives that contain:

A
  • Plot
  • Twists
  • Ending
75
Q

True or False
If there isn’t anything interesting about the data, don’t show the data.`

A

True

76
Q

For the audience to respond, you need a _________.

A

call to action

77
Q

Talk through the _________. With a strong __________, any visual can be carried. but not vice versa.

A

narrative

78
Q

Parts of Storytelling with Data:

A

(UCIFTDTPCW)
- Understand the Context
- Choose an Appropriate Visual
- Identify & Eliminate Clutter
- Focus attention
- Think like a designer
- Dissecting model visuals
- Tell a story
- Pulling it all together
- Case studies
- Wrap up

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