[BA 2501] Exam 1

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Last updated 4:18 AM on 9/23/26
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85 Terms

1
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What does it mean to "script a data narrative?"

You plan the written and/or verbal analysis that goes with the data visualization (viz)

2
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How are data viz and data storytelling related?

They are both components to displaying data findings and presenting it

3
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How are data viz and data storytelling different?

Data viz shows you how the data comes up and makes it easier to display; Data storytelling is giving the analysis behind the data/graphs

4
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What are the steps in the visual analytics process?

Data > Analysis > Insight > Story

5
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What are the details BEHIND the steps of the visual analytics process?

Gathering the data > putting it into graphs for the analysis > giving your own opinion on findings > creating a story to easily show to the audience

6
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What is the difference between visualizing data and presenting a data story?

Data viz = answers the "what"

Data storytelling = answers the "why"

7
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What two areas of the brain are activated when presented with data?

  1. Wernicke's area

  2. Broca's area


8
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What does Wernicke’s area do?

Language comprehension

9
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What does Broca’s area do?

Language production

10
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What seven areas of the brain are activated when presented with a story?

  1. Visual cortex

  2. Wernicke's area

  3. Olfactory cortex

  4. Auditory cortex

  5. Broca's area

  6. Motor cortex

  7. Sensory cortex/cerebellum


11
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What does the visual cortex do?

Colors & shapes

12
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What does the olfactory cortex do?

Scents

13
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What does the auditory cortex do?

Sounds

14
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What does the motor cortex do?

Movement

15
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What does the sensory cortex/cerebellum do?

Language comprehension

16
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What is fitness?

The need to survive

17
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Why is fitness considered a possible explanation for why humans tell stories?

It refers to the idea of evolution through surviving; explaining shared experiences would help warn and protect future generations

18
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What is closure?

The need to know

19
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Why is closure considered a possible explanation for why humans tell stories?

To focus, align, teach, inspire, and resolve anxiety

20
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Identify the first story key takeaway.

See it visually

21
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Identify the second story key takeaway.

Make it actionable

22
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Identify the third story key takeaway.

Change/challenge/confirm your thinking

23
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Identify the fourth story key takeaway.

Try something new

24
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Provide a brief description of Tableau Desktop.

You work directly with the data; connecting to sources, analyzing sources & data, building worksheets/charts, etc.

25
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Provide a brief description of Tableau Server.

Used by organizations to share dashboards/reports with employees while securing/maintaining the system

26
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Provide a brief description of Tableau Cloud.

Performs sharing/collaboration functions, but it’s hosted and maintained by Tableau

27
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Provide a brief description of Tableau Prep.

Used before analyzing the data; cleanup, combining data, fixing formatting, removing unnecessary info, etc.

28
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Provide a brief description of Tableau Public.

Designed for and publicly sharing viz; useful for students, journalists, etc., but avoid using confidential info

29
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What can you do on the “Connect to Data” screen?

This is where you can choose where your data comes from

30
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What does the “Connect” element on the “Connect to Data” screen do?

Allows you to select a data source

31
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What does the “To a File” element on the “Connect to Data” screen do?

Connects Tableau to files stored on your computer

32
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What does the “To a Server” element on the “Connect to Data” screen do?

Connects Tableau to databases and server-based sources

33
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What does the “Saved Data Sources” element on the “Connect to Data” screen do?

Allows you to connect to data sources already created/saved

34
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What can you do on the “Data Source” page?

This is where you organize and get a handle on the data that you just imported

35
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What does the “Connections” pane on the “Data Source” page do?

Shows the data sources you are connected to and lets you add more

36
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What does the “Sheets/Tables” pane on the “Data Source” page do?

Shows the available sheets/tables from the selected data source

37
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What is the “Canvas” on the “Data Source” page?

Drag tables/sheets here to use and create relationships/joins

38
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What does the “Data Grid” pane on the “Data Source” page do?

Displays a preview of the actual rows/columns in your data

39
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What does the “Metadata Grid” pane on the “Data Source” page do?

Displays info about your fields; field names, data types, and table info

40
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What does the “Live/Extract” option on the “Data Source” page do?

Determines whether Tableau communicates directly with the original data source or stores a snapshot of the data

41
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How can you change the data type?

Click the Data Type icon next to a field and select the correct type

42
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Why would you need to change the data type?

In case the data interpreter is incorrect or messy

43
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How can you split a field? Why would you need to?

Select the "Fields" menu, then choose "Split" or "Custom Split"

44
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Why would you need to split a field?

In case the fields need to be analyzed separately

45
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How can you pivot data?

On the Data page, select multiple clumps, then proceed to right click and click "Pivot"

46
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Why would you need to pivot data?

When you want to rearrange data to analyze it more efficiently

47
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What is a live connection?

It means that Tableau is directly connected to the original source

48
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What are the pros and cons of a live connection?

Data stays current/up-to-date, but performance speed declines since it’s usually through internet access

49
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What is an extract connection?

A stored snapshot/subset of the data

50
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What are the pros and cons of an extract connection?

Provides faster performance, but can become outdated if data is updated

51
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What is an inner join?

Joins records when there is a matching field in both sets

52
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What is a left join?

Joins records from the left and right sides of your equation when there is a match

53
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What is a right join?

Joins all the records from the data on the right side of your equation and any matching records from the left side

54
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What is an outer join?

Joins all the records from each dataset together, even when there is no join (rarely used)

55
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What is the data interpreter?

A tool that helps identify and clean up formatting problems in data files

56
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What are the three elements of a Tableau workbook?

  1. Worksheet

  2. Dashboard

  3. Story


57
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What do you do on the “Worksheet” of a Tableau workbook?

This is where you create an individual viz

58
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What do you do on the “Dashboard” of a Tableau workbook?

Compare several vizs that can include interactive filters/controls

59
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What is the “Story” on a Tableau workbook?

A sequence of worksheets/dashboards arranged to communicate a narrative

60
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What are the elements found on a worksheet in Tableau? What does each do?

  1. Data Pane

  2. Columns

  3. Rows

  4. Marks: change appearance

  5. Filters: choose what to show

  6. Pages: step through data

  7. View: see the chart

  8. Show Me: choose a chart


61
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What do you with the “Data Pane” on a Tableau worksheet?

This is where you pick your data

62
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What direction do columns go?

Vertically (up and down)

63
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What direction do rows go?

Horizontally (left and right)

64
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What does the “Marks” option do on a Tableau worksheet?

It lets you change the appearance

65
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What does the “Filters” option do on a Tableau worksheet?

It lets you choose what to show

66
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What does the “Pages” option do on a Tableau worksheet?

It lets you step through data

67
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What does the “View” option do on a Tableau worksheet?

It lets you see the chart


68
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What does the “Show Me” option do on a Tableau worksheet?

It lets you choose a chart

69
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How can a lack of context cause an audience to draw the wrong conclusion or make the wrong decision?

Without the right context, it leaves the audience to have no basis on why/how the info was first gathered

70
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Why should we be careful with counts?

Raw counts can be misleading without the context giving off the wrong direction/strength in correlation

71
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What is the difference between exploratory and explanatory analysis?

Exploratory analysis = searching raw data for patterns/trends

Explanatory analysis = presenting a clear story/answer to an audience

72
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What are the two parts of story structure?

  1. Plot

  2. Narrative


73
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What is the story plot?

The events of a story that relate to each other in a pattern

74
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What are the eight basic "plots"?

  1. Change over time

  2. Drill down

  3. Zoom out

  4. Contrast

  5. Spread

  6. Intersections

  7. Factors

  8. Outliers


75
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What is the “Change over time” plot in a story?

See a visual history as told through a metric/trend

76
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What is the “Drill down” plot in a story?

Start big and get more granular to find meaning

77
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What is the “Zoom out” plot in a story?

Reverse the particular (individual > larger)

78
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What is the “Contrast” plot in a story?

“This or that”

79
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What is the “Spread” plot in a story?

Help people see the light and dark

80
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What is the “Intersections” plot in a story?

Things that cross over/progress

81
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What is the “Factors” plot in a story?

Things that work together to build up to a higher-level effort

82
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What is the “Outliers” plot in a story?

A powerful way to show something unusual

83
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What is story genre?

The other half of story structure

84
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What are the seven story genres?

  1. Magazine style

  2. Annotated chart

  3. Partitioned poster

  4. Flow chart

  5. Comic strip

  6. Slide show

  7. Film/video/animation


85
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What is the difference between narrated and non-narrated storytelling?

Narrated = delivered live (in person/virtually)

Non-narrated = delivered without a storyteller in writing (emails, reports, etc.)