Module 2 Flashcards

(78 cards)

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
Your presentation has to be ___________ as well as ___________.
understood and remembered
26
Content checklist:
(What-Who-How) - What will you present - Who are you presenting to - How to measure results of the presentation
27
True or False It's also important to know how much time you have to present.
True
28
True or False Content may not always bear the truth.
False - content must always be truthful
29
True or False Content should always come out with facts and proof
True
30
True or False Your content when presented to an audience can never become their reality.
False - it can become their reality
31
True or False People will make decisions depending on your content.
True
32
True or False We are visually wired and respond quickly to visual cues.
True
33
True or False It is not really vital to incorporate the truthfulness of your data.
False - it is vital and sound to incorporate truthfulness in data
34
Name the principles of effective content:
(3Ps) - Purpose - People - Preparation
35
This principle states that you have to formulate a precise objective and identify why and what you want to present.
Purpose
36
Things to ask for **purpose**:
(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
This states to create an outline by listing as many things as you can of what you want to include in your presentation.
Purpose
38
True or False Purpose states to give yourself time to layout everything. You can subdivide it into categories of parts.
True - to find purpose is to give yourself time
39
This implores you to get to know your audience and to remember to consider the audience to achieve your objective.
People
40
True or False Associating your personality with your message in a positive way is within Purpose.
False - it is within People | personality = People
41
True or False In the 3Ps, People says that you are the star of the show.
False - You are not the star of the show | nihilism
42
This wants you to make the audience to feel comfortable or familiar, to provide a particular service.
People
43
The element of content that talks about motivating the audience to do something or inspire/challenge them to try something new.
People
44
Part of the 3Ps where you plan the facts, style, pace, tone, tactics, and practice a lot.
Preparation
45
True or False Preparation must begin as soon as you agree to the presentation.
True
46
In **preparation**, the key is in the __________.
details
47
Things to ask for **preparation**:
(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
True or False Writing a script will not help you with preparation.
False - it would help if you write yourself a script.
49
This allows you to play with the delivery - focus on tone and pace.
preparing a script
50
True or False Adding some variety keeps your audience interested.
True
51
True or False Good preparation is the key to confidence
True
52
True or False It is better to play to your strengths than to dwell on what didn't work.
True
53
What zone is the part where you seem like you don't know what to do or where to start?
Red zone
54
What zone is the part where you begin putting things together and gradually get into a rythm?
Green zone
55
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.
Brown zone
56
Who wrote Storytelling with Data?
Cole Nussbaumer Knaflic
57
What did Cole Nussbaumer Knaflic develop in 2010?
Base Camp
58
True or False Cole Nussbaumer Knaflic likes pie charts.
False - she **HATES** pie charts
59
What is Cole Nussbaumer Knaflic talk at Google titled?
Storytelling with Data: A Data Visualization Guide for Business Professionals
60
Who led Project Oxygen?
Mr. Neil Patel
61
What is Project Oxygen?
a study to understand on a mathematical and statistical level what makes managers effective.
62
Name the two types of analysis:
- Exploratory - Explanatory
63
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?
Exploratory
64
This analysis analyzes something specific you want to communicate to somebody.
Explanatory
65
True or False We don't fully see with our eyes, rather, most of visual processing takes place in the brain.
True
66
Name the two key lessons of Cole Nussbaumer Knaflic;s talk:
- Focus Attention - Tell a Story
67
It is shorter than short-term memory, the information stays there for fractions of a second before going to the short-term memory.
Iconic Memory
68
It helps our audience see what we want them to see before they even know they're seeing it.
Pre-Attentive Attributes
69
Test where you look away and back at your visual.
Where Are Your Eyes Drawn Test (WAYEDT)
70
True or False A lot of color is good for data visualizing.
False - people will get distracted with too many colors
71
Use _______________ to draw attention to one part of the story.
pre-attentive visual cues
72
Color has the ability to _____________ and _____________.
impart tone and incite emotions
73
True or False Data without story isn't meaningful.
True
74
Craft narratives that contain:
- Plot - Twists - Ending
75
True or False If there isn't anything interesting about the data, don't show the data.`
True
76
For the audience to respond, you need a _________.
call to action
77
Talk through the _________. With a strong __________, any visual can be carried. but not vice versa.
narrative
78
Parts of Storytelling with Data:
(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