Data Science 5

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20 Terms

1

Why tell a story with data?

Stories are memorable, while facts are recorded.

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2

What is exploratory analysis?

The process of identifying interesting things to learn from your data.

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3

What is explanatory analysis?

The process of communicating interesting findings to someone else.

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4

What are key questions to ask before creating explanatory content?

Who is your audience? What do you need them to know or do? How can you use data to help make your point?

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5

What role does the audience's bias play in communication?

Audience biases can make them resistant to your message.

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6

What should a successful outcome look like in data storytelling?

It should clearly convey the intended message and resonate with the audience.

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7

Which visual might you choose for showing single numbers?

Simple text works well for highlighting single numbers.

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8

When are tables most useful in data communication?

For mixed audiences or showing multiple units of measure.

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9

What type of chart is best for continuous data?

Line charts are typically best for continuous data.

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10

What is crucial to remember about bar charts?

Bar charts must have a zero baseline.

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11

What cognitive burden do visual elements create?

Every single element on the page adds cognitive load to the audience.

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12

What are Gestalt Principles?

Principles that help identify and eliminate clutter by focusing on informative value.

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13

How can preattentive attributes be used in visual communication?

They can direct attention and establish a visual hierarchy.

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14

What is the importance of color in data visualization?

Color should be used sparingly to draw attention, not just for aesthetics.

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15

How can titles and labels aid data storytelling?

They help explain and reinforce the narrative being told.

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16

What elements are pivotal in crafting a narrative arc?

Plot, rising action, climax, falling action, and resolution.

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17

How does conflict play a role in storytelling?

Conflict and tension make stories engaging and memorable.

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18

What is the value of soliciting a fresh perspective?

It can offer new insights into data visualization and broader communication.

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19

What are some tactics for ensuring clarity in a data story?

Utilize repetition, horizontal and vertical logic, and reverse storyboarding.

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20

What is the main goal of storytelling with data?

To create a narrative that resonates and engages the audience.

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