Unit 3.1 Building Stories

Question 1

What are the 2 views of a story

Answer 1

Data

Story

Question 2

What are the 4 types of story structures

Answer 2

• Responsive
• Canvas
• Grid
• from Smart Discovery

Question 3

What are the 3 types of templates available for a story

Answer 3

• new design
• SAP templates
• templates provided by the company

Question 4

4 guidelines/steps for creating a visualization

Answer 4

1. choose direction
2. keep it simple
3. reading direction
4. logical graphical grouping

Question 5

What are the 2 possible data sources for a story

Answer 5

1. SAC model

2. Dataset

Question 6

What 2 types of data can a data source be based on

Answer 6

1. SAC data

2. Data from a live model

Question 7

When you create a story based on a file, story specific data is created

Answer 7

True

Question 8

3 story page types

Answer 8

1. Canvas
2. responsive
3. grid

Question 9

Which page type lets you create lanes to section content

Answer 9

Responsive

Question 10

8 different types of objects you can use on a page

Answer 10

1. charts
2. tables
3. maps
4. filters
5. drop down menus
6. hiding functions
7. interactive objects
8. pictures

Question 11

What can datasets be used as a base for (2)

Answer 11

1. stories

2. Smart predict

Question 12

Which is a dataset more useful for what: ad hoc analysis, controlled use cases

Answer 12

Ad hoc analysis.

Stories are better for controlled use cases

Question 13

If the end user is starting from the data and is not constrained by a structure, what is the better tool to use? (dataset or story)

Answer 13

Data set

Question 14

What happens when you upload data into a story

Answer 14

you’re embedding a dataset into the story

Question 15

Can you apply security at a dataset level

Answer 15

yes

Question 16

Which story features do not support a dataset (2)

Answer 16

• Smart Insight on variance charts

- cross-calculations on tables and charts

Question 17

What can’t support cross calculations on tables and charts (3)

Answer 17

• datasets
• remote models
• universal models

Question 18

When to use a model, not a dataset (3)

Answer 18

1. connecting to live data w/ predefined structure
2. Planning, if user will input data into model or import from a different source
3. When using governed data owned by IT

Question 19

Key features of expression editor (5)

Answer 19

1. Type ahead of col names, functions, keywords
2. Func stub auto displayed
3. Easy nav accross arguments
4. Copy/paste expressions
5. Clear trouble shooting

Question 20

There are 2 options for creating a story when you drag and drop it into the Home page:

Answer 20

1. I’m feeling lucky - Story is created, taken to Explorer

2. Prepare dataset - Story w/ embedded dataset is created, taken to data view

Question 21

What are 2 reasons for creating a story using drag and drop in Home page:

Answer 21

• Quick/ad-hoc analysis

- need SAC help analyzing the data