Data Science 5

0.0(0)
studied byStudied by 0 people
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
Card Sorting

1/19

encourage image

There's no tags or description

Looks like no tags are added yet.

Study Analytics
Name
Mastery
Learn
Test
Matching
Spaced

No study sessions yet.

20 Terms

1
New cards

Why tell a story with data?

Stories are memorable, while facts are recorded.

2
New cards

What is exploratory analysis?

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

3
New cards

What is explanatory analysis?

The process of communicating interesting findings to someone else.

4
New cards

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?

5
New cards

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

Audience biases can make them resistant to your message.

6
New cards

What should a successful outcome look like in data storytelling?

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

7
New cards

Which visual might you choose for showing single numbers?

Simple text works well for highlighting single numbers.

8
New cards

When are tables most useful in data communication?

For mixed audiences or showing multiple units of measure.

9
New cards

What type of chart is best for continuous data?

Line charts are typically best for continuous data.

10
New cards

What is crucial to remember about bar charts?

Bar charts must have a zero baseline.

11
New cards

What cognitive burden do visual elements create?

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

12
New cards

What are Gestalt Principles?

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

13
New cards

How can preattentive attributes be used in visual communication?

They can direct attention and establish a visual hierarchy.

14
New cards

What is the importance of color in data visualization?

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

15
New cards

How can titles and labels aid data storytelling?

They help explain and reinforce the narrative being told.

16
New cards

What elements are pivotal in crafting a narrative arc?

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

17
New cards

How does conflict play a role in storytelling?

Conflict and tension make stories engaging and memorable.

18
New cards

What is the value of soliciting a fresh perspective?

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

19
New cards

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

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

20
New cards

What is the main goal of storytelling with data?

To create a narrative that resonates and engages the audience.