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Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics Quiz Answers
Table of Contents
Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics Week 1 Quiz Answer
Quiz: Restructuring Data for Geographic Mapping Review
Q1. Which transform in SAS Data Studio enables you to uppercase character data?
- Convert column in the Column Transforms group.
- Casing in the Data Quality Transforms group.
- Uppercase data in the Data Quality Transforms group.
- Change case in the Column Transforms group.
Which transform in SAS Data Studio enables you to propercase character data based on a definition?
- Casing in the Data Quality Transforms group
- Change case in the Column Transforms group
- Convert column in the Column Transforms group
- Propercase data in the Data Quality Transforms group
Q3. Which type of geo map should be used with very dense data?
- Contour
- Bubble
- Region
- Coordinate
Q4. For which type of geo map will larger regions seem more emphasized than smaller ones?
- Coordinate
- Contour
- Bubble
- Region
Q5. Which type of geo map can be used when there is NOT an even distribution of values within each region?
- Coordinate with bubble plot
- Choropleth
- Coordinate with scatter plot
- Region
Q6. What is needed to create a geography data item using geographic name or code lookup?
- Latitude
- Longitude
- Country names or codes
- Geographic data provider
Q7. What is needed to create a geography data item using latitude and longitude in data?
- Country names or codes
- US postal codes
- Latitude and longitude
- Geographic data provider
Q8. What is needed to create a geography data item using custom polygonal shapes?
- Latitude and longitude
- US postal codes
- Country names or codes
- Geographic data provider
Q9. Which type of geo map enables you to cluster adjacent markers?
- Coordinate with bubble plot
- Coordinate with scatter plot
- Region
- Contour
Q10. Which type of geo map enables you to add a measure to determine the size of the marker?
- Region
- Choropleth
- Contour
- Coordinate
Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics Week 2 Quiz Answer
Quiz : Restructuring Data for Forecasting Review
Q1. Which table is structured appropriately for forecasting in Visual Analytics?
EXPENSES | JAN | FEB | MAR | … |
---|---|---|---|---|
TOTAL | $25,678 | $14,567 | $18,586 | |
OPERATING | $10,095 | $8,396 | $9,256 | |
PERSONNEL | $11,256 | $5,678 | $8,741 | |
OTHER | $4,327 | $493 | $589 |
EXPENSES | STORE | ONLINE | CATALOG |
---|---|---|---|
TOTAL | $25,678 | $14,567 | $18,586 |
OPERATING | $10,095 | $8,396 | $9,256 |
PERSONNEL | $11,256 | $5,678 | $8,741 |
OTHER | $4,327 | $493 | $589 |
EXPENSES | PROFIT |
---|---|
$25,678 | $15,504 |
$14,567 | $14,295 |
$18,586 | $13,296 |
… |
DATE | PROFIT |
---|---|
JAN | $15,504 |
FEB | $14,295 |
MAR | $13,296 |
… |
- correct answer
Q2. Which transform in SAS Data Studio converts a wide data set to a narrow data set?
- Analytic partitioning
- Convert column
- Split
- Transpose
Q3. Which transform in SAS Data Studio joins data vertically?
- Match and cluster
- Trim whitespace
- Join
- Append
Q4. What types of data items are needed to create a forecasting object?
- Category and measure
- Time and datetime
- Datetime and measure
- Date and category
Q5. What are additional measures that improve the accuracy of the forecast?
- Underlying factors
- Underlying measures
- Additional measures
- Additional factors
Q6. What types of data items are needed to perform what-if analysis?
- Datetime, category, and underlying factor
- Category, time, and underlying factor
- Date, measure, and underlying factor
- Time, datetime, and underlying factor
Q7. Assume the following scenario:
You add 2 underlying factors, but your forecast is not updated. What happened?
- Neither of the factors increased the accuracy of the forecast.
- The underlying factors were added in the incorrect order.
- The first underlying factor increased the accuracy of the forecast, but the second underlying factor did not.
- The forecast will not accept underlying factors.
Q8. Assume the following scenario:
You add an underlying factor and the forecast is updated. What happens?
- The confidence bands are widened.
- The Winters Method (additive) algorithm is applied.
- The confidence bands are narrowed.
- The Seasonal Exponential smoothing algorithm is applied.
Q9. For which type of what-if analysis do you modify future values of the underlying factor to determine the impact on the forecast?
- Scenario analysis
- Goal seeking
- Target seeking
- Prediction analysis
Q10. For which type of what-if analysis do you modify future values of the forecast to determine the change needed for the underlying factor?
- Target seeking
- Scenario analysis
- Prediction analysis
- Goal seeking
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