| id | diagrams | answers | page1 | page2 | name | group | isUsed | task | task objective | task scenario | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 |
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The datapoints with the largest X are: (ID: 80, x: 462.5, y: 18685.5, plotId: YELLOW)
|
You will be asked to answer a few questions about data. In the next page you will see many data points displayed in a diagram.
|
Which is the data point with the largest value of X ? | vaAbsExtremum | 1 | 1 | extremum | visual analysis | abstract | |
| 2 |
|
The plot with the highest correlation is [ Diagram 3: Data points ] with ID ORANGE and correlation 0.8.
|
Now you will see four diagrams with data points. You will be asked to compare them.
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In which of these four diagrams is Y most related to X? | vaAbsCorrelation | 1 | 1 | correlation | visual analysis | abstract | |
| 3 |
|
The datapoints with NO competitors are: (ID: 42, x: 75, y: 4550, plotId: ORANGE) (ID: 47, x: 215, y: 5350, plotId: ORANGE) (ID: 48, x: 230, y: 13020, plotId: ORANGE) (ID: 57, x: 405, y: 13450, plotId: ORANGE)
|
Now you will see one of the previous diagrams again. You will be asked a question that requires identifying "competitors".
In our case, a data point is a competitor of another data point if it has both larger X and smaller Y. |
Select a data point that has no competitor. | vaAbsComparison | 1 | 1 | comparison | visual analysis | abstract | |
| 4 |
|
The datapoints with the largest X are: (ID: 80, x: 462.5, y: 18685.5, plotId: YELLOW)
|
You will be asked to answer a few questions about houses. In the next page you will see many houses displayed in a diagram.
|
Which is the biggest house? | vaSemExtremum | 2 | 1 | extremum | visual analysis | semantic | |
| 5 |
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The plot with the highest correlation is [ Diagram 3: Houses ] with ID ORANGE and correlation 0.8.
|
Now you will see four diagrams with houses. You will be asked to compare them.
|
In which of these four diagrams is price most related to size? | vaSemCorrelation | 2 | 1 | correlation | visual analysis | semantic | |
| 6 |
|
The datapoints with NO competitors are: (ID: 42, x: 75, y: 4550, plotId: ORANGE) (ID: 47, x: 215, y: 5350, plotId: ORANGE) (ID: 48, x: 230, y: 13020, plotId: ORANGE) (ID: 57, x: 405, y: 13450, plotId: ORANGE)
|
Now you will see one of the previous diagrams again. You will be asked a question that requires identifying "competitors".
A house is a competitor of another house if it is both bigger and cheaper . |
Select a house that has no competitor. | vaSemComparison | 2 | 1 | comparison | visual analysis | semantic | |
| 7 |
|
The datapoints with the largest X are: (ID: 80, x: 462.5, y: 18685.5, plotId: YELLOW)
|
You will be asked to make a few decisions about houses.
Imagine you are moving to a new city and you need to buy a house. You are extremely rich and you want your house to be as big as possible. In the next page you will see the houses currently on the market, displayed in a diagram. |
Given what you read, which house would you buy? | dmNar0Extremum | 3 | 1 | extremum | decision-making | narrative | |
| 8 |
|
The plot with the highest correlation is [ Agency 3: Houses ] with ID ORANGE and correlation 0.8.
|
You don't have as much money as you initially thought. So before buying a house, you need to find a reliable real estate agency.
You will see four diagrams with houses. Each diagram shows the houses proposed by a different agency. An agency that sets arbitrary prices is NOT reliable. While in a reliable agency, price is very related to size. |
Given what you read, which of these four real estate agencies would you choose? | dmNar0Correlation | 3 | 1 | correlation | decision-making | narrative | |
| 9 |
|
The datapoints with NO competitors are: (ID: 42, x: 75, y: 4550, plotId: ORANGE) (ID: 47, x: 215, y: 5350, plotId: ORANGE) (ID: 48, x: 230, y: 13020, plotId: ORANGE) (ID: 57, x: 405, y: 13450, plotId: ORANGE)
|
Now you will see one of the previous diagrams again. It shows the houses offered by the best agency.
You will finally get to choose your house. A good choice is a house that has no "competitor". A house is a competitor of another house if it is both bigger and cheaper. |
Given what you read, which house would you buy? | dmNar0Comparison | 3 | 1 | comparison | decision-making | narrative | |
| 10 |
|
The datapoints with the largest X are: (ID: 80, x: 462.5, y: 18685.5, plotId: YELLOW)
|
You will be asked to answer a few questions about houses.
Imagine that you are a real estate analyst and you need to understand the house market. You focus on extremely rich customers who seek to buy a house that is as big as possible. In the next page you will see the houses currently on the market, displayed in a diagram. |
Given what you read, which house would be the most attractive to your customers? | vaNar1Extremum | 4 | 1 | extremum | visual analysis | narrative | |
| 11 |
|
The plot with the highest correlation is [ Agency 3: Houses ] with ID ORANGE and correlation 0.8.
|
Now you want to focus on regular customers who are not necessarily very rich.
You want to investigate how reliable some real estate agencies are. You will see four diagrams with houses. Each diagram shows the houses proposed by a different agency. An agency that sets arbitrary prices is NOT reliable. While in a reliable agency, price is very related to size. |
Given what you read, which of these four real estate agencies is the most reliable? | vaNar1Correlation | 4 | 1 | correlation | visual analysis | narrative | |
| 12 |
|
The datapoints with NO competitors are: (ID: 42, x: 75, y: 4550, plotId: ORANGE) (ID: 47, x: 215, y: 5350, plotId: ORANGE) (ID: 48, x: 230, y: 13020, plotId: ORANGE) (ID: 57, x: 405, y: 13450, plotId: ORANGE)
|
Now you will see one of the previous diagrams again. It shows the houses offered by the best agency.
You need to report on their best deals. A good deal is a house that has no "competitor". A house is a competitor of another house if it is both bigger and cheaper. |
Given what you read, select a house that is a good deal. | vaNar1Comparison | 4 | 1 | comparison | visual analysis | narrative | |
| 13 |
|
The datapoints with the largest X are: (ID: 80, x: 462.5, y: 18685.5, plotId: YELLOW)
|
You will be asked to answer a few questions about houses.
Imagine that you are a real estate analyst and you need to understand the house market. You focus on extremely rich customers who seek to buy a house that is as big as possible. In the next page you will see the houses currently on the market, displayed in a diagram. |
Which is the biggest house? | vaNar2Extremum | 5 | 1 | extremum | visual analysis | narrative | |
| 14 |
|
The plot with the highest correlation is [ Agency 3: Houses ] with ID ORANGE and correlation 0.8.
|
Now you want to focus on regular customers who are not necessarily very rich.
You want to investigate how reliable some real estate agencies are. You will see four diagrams with houses. Each diagram shows the houses proposed by a different agency. An agency that sets arbitrary prices is NOT reliable. While in a reliable agency, price is very related to size. |
In which of these four diagrams is price most related to size? | vaNar2Correlation | 5 | 1 | correlation | visual analysis | narrative | |
| 15 |
|
The datapoints with NO competitors are: (ID: 42, x: 75, y: 4550, plotId: ORANGE) (ID: 47, x: 215, y: 5350, plotId: ORANGE) (ID: 48, x: 230, y: 13020, plotId: ORANGE) (ID: 57, x: 405, y: 13450, plotId: ORANGE)
|
Now you will see one of the previous diagrams again. It shows the houses offered by the best agency.
You need to report on their best deals. A good deal is a house that has no "competitor". A house is a competitor of another house if it is both bigger and cheaper. |
Select a house that has no competitor. | vaNar2Comparison | 5 | 1 | comparison | visual analysis | narrative |