DJM Topic 1 - Introduction to Data Journalism Flashcards

1
Q

Data Journalism

A

A journalistic process that involves analyzing and filtering large data sets to create or enhance news stories

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2
Q

Information visualization

A

The communication of information using graphical representations

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3
Q

Scientific visualization

A

Represents physical data like X-rays and MRI scans

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4
Q

John Snow’s cholera map

A

Used bars within houses to represent deceased individuals from cholera in London in 1663

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5
Q

Tokyo Underground map

A

A logical representation of the metro system highlighting qualitative relationships between stops

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6
Q

Dow Jones Industrial Average (DJIA)

A

A stock index based on the weighted average of stock prices of 30 large U.S. companies from 1900 to 2000

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7
Q

Human working memory limitation

A

Can only hold about 3 slots of information at a time

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8
Q

Data visualization process steps

A

Raw data –> data pre-processing –> visual mapping –> view transformations –> user interaction

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9
Q

2) Data pre-processing

A

Mapping data to fundamental types, handling missing values, extracting relevant data

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10
Q

3) Visual mapping

A

Choosing appropriate visual representation for data based on expressiveness and effectiveness

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11
Q

4) View transformations

A

Mapping visual representation to final presentation considering expressiveness and effectiveness

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12
Q

Pre-attentive processing

A

Visual properties perceived immediately without focused attention, important for visualization design

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13
Q

Pre-attentive visual attributes

A

Position, color, shape, size, motion

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14
Q

Gestalt principles of perception

A

Closure, proximity, similarity, continuity, figure-ground - how humans perceive and organize visual information

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15
Q

Visual variables

A

Position, mark, size, brightness, color, orientation, texture, motion - used to represent data in visualizations

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16
Q

Effective visualization considerations

A

Suitable data-to-visualization mapping, modifiable views, information density, keys/labels/legends, colour and aesthetics

17
Q

Avoiding distortion techniques

A

Avoiding 3D effects, nonlinear data scaling, truncated graphs

18
Q

Successful visualization

A

Efficiently and accurately conveys desired information to target audience