Effective data visualizations Flashcards

1
Q

what is the David McCandless method?

A

Inform, Story,Goal,Visual form.

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2
Q

Information

A

the data with which you’re working

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3
Q

Story

A

a clear and compelling narrative or concept

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4
Q

Goal

A

a specific objective or function for the visual

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5
Q

visual form

A

an effective use of metaphor or visual expression

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6
Q

Effective visualization questions

A

What is the practical question? What does the data say? What does the visual say?

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7
Q

mark

A

are basic visual objects such as points ,line, and shapes. Every mark can be broken down into four qualities.

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8
Q

what are the four qualities of a mark?

A

position, size,shape,color

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9
Q

position

A

where a specific mark in a space relative to a scale or to other marks

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10
Q

Size

A

how big,small,long,or tall is the mark

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11
Q

shape

A

does the shape of the specific object communicate something about it?

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12
Q

color

A

what color is the mark?

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13
Q

channels

A

are visual aspects or variables that represent characteristics of the data in a visualization.

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14
Q

Accuracy

A

are the channels helpful in accurately estimating the values being represented?

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15
Q

pop out

A

how easy it it to distinguish certain values from others?

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16
Q

grouping

A

how effective is a channel at communicating groups that exist in the data

17
Q

Correlation

A

in statistics is the measure of the degree to which two variables move in relationship to each other

18
Q

Causation

A

refers to the idea that an event leads to specific outcome

19
Q

what si the difference between correlation and causation?

A

Correlation: There is a positive correlation between the number of hours of sleep a person gets and their academic performance.
Causation: Getting more sleep causes people to perform better academically.
Correlation: There is a negative correlation between the amount of money a person earns and their happiness.
Causation: Earning more money does not necessarily make people happier.

20
Q

in your data analysis ,remember to

A

critically analyze correlation that you find
examine the data’s context to determine if a causation makes sense
understand the limitations of the tools that you use for analysis

21
Q

decision tree

A

is a decision-making tool that allows you to make decisions based on key questions that you can answer yourself

22
Q
A