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iRubric: ITAO 30240 Final Exam FA 18 rubric

iRubric: ITAO 30240 Final Exam FA 18 rubric


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ITAO 30240 Final Exam FA 18 
Rubric Code: EXB4W7C
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Subject: Computers  
Type: Exam  
Grade Levels: Undergraduate

Powered by iRubric ITAO 30240 - Final Exam
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  Poor/ missing

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Full Credit

1 pts

Q1 Line Graph Encoding

Enter description

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Full Credit

Graph C is appropriate for line graphs
Q2 Craft Beers - Brewery Map
Proper completion of Brewery Map
  Poor / Missing

More than 2 requirement in error or missing

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Partial Credit

2 requirements in error or missing

0.33 pts

Partial Credit

1 requirement in error or missing

0.66 pts

Full Credit

All requirements met

1 pts

File Connection

Excel file properly connected and extracted. Tableau file is TWBX file type

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Map Created & State Color Coding

Map Title is "Brewery Map"
States properly coded in Red shades indicating number of breweries in each state

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City Marks

Number of breweries in each city indicated with black circles sized by number of breweries in city.

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Tool Tips & Legend Title

Tool tips contain State names, city names (when cities are hovered over) & count of distinct breweries. Labels in tool tips should read "State", "Brewery Count" and "City". Legend title should be "Brewery Count"

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Correct Values Showing

San Diego Count is 8, California count is 39

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Q3 Beer Table
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0.33 pts

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0.66 pts

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1 pts

Table

Table created with all fields present in proper position - City, State, Brewery Name, Beer name, ABV, IBU, Ounces

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Formatting

ABV formatted as % with 1 decimal, IBU formatted as number with no decimal places , Ounces formatted as number with 1 decimal place.

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Filters 1

Filters on city and
State are Single Value Dropdown

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Filters 2

When a state is selected in State filter, only cities from that state are displayed in the City filter

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Filters 3

City and State Filters apply to both Brewery Map and Beer Table

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Question 4 - Surface Area
Donut chart Replacement
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0.25 pts

Full Credit

0.5 pts

Draw Better Chart Type

Draw a chart that meets the objective of comparing the size of countries more effectively than donut chart. - Bar graph, ranked, Actual numbers rather than % showing

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Relationships and Attributes

Which relationship type(s) and pre-attentive attributes did you use? Why is your version more effective? - Preattentive attributes - length and position. Explanation - Donut chart shows part to whole relationship which does not make much sense for this problem.

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Question 5 - Lifetime of Inequality
Describe at least 3 problems with graph shown.
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0.33 pts

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0.66 pts

Full Credit

1 pts

Problems with chart

3 Problems with chart
Curved lines difficult to compare; Outside lines are longer for same values; Positive and negative issues sometimes are longer lines, sometimes are shorter lines. ...

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Question 6 - Purchasing Power
  Poor or Missing

0 pts

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0.33 pts

Partial Credit

0.66 pts

Full Credit

1 pts

PP Histogram

Histogram Created per instructions: Data imported and extracted - file saved as TWBX

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Purchasing Power

Purchasing Power of 4 types presented

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Bin size set to 5

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Tool Tip

Tool Tip shows Purchasing Power BIN, Type and Number of States

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Relationship

What relationship type is this histogram showing? Name another type of graph that can be used to show this relationship.

- Distribution - other types of charts are Dot Plot, Box and whiskers Plot

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Question 7 - PP Bars
  Poor or Missing

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0.33 pts

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0.66 pts

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1 pts

Bar chart Created

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Bar Color

Bars above 100 are colored Green, Below 100 colored Red

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Reference Line

Reference line at 100 - Line colored black

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Sorting

States sorted in descending order of Purchasing Power

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Correct Titles and Legend

Title State Purchasing Power in 2014. Legend Purchasing Power Above 100 Green, Below 100 red

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True False Questions
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Correct

0.5 pts

Q1 -T

When a pill in Tableau is blue, this indicates that it is a Dimension.

Incorrect
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Correct
Q2-F

At a glance, it’s faster to compare sizes (area) of objects rather than length.

Incorrect
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Correct
Q3-F

Dual axis charts should be used when you need to compare multiple units of measure

Incorrect
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Correct
Q4-F

Using 3D in graphs is generally a good idea because it helps your readers see data from all angles

Incorrect
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Correct
Q5-T

Treemaps and Node-Link diagrams are both types of Network graphs.

Incorrect
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Correct
Q6-F

Stacked bars are good for showing part-to-whole relationships when you really want to emphasize the contribution of each individual part.

Incorrect
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Correct
Q7-T

A Trellis chart is a good option for displaying multiple variables at once.

Incorrect
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Correct
Q8-F

Pie charts are a good choice for showing a part-to-whole relationship because you can compare the size of the slices.

Incorrect
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Correct
Q9-F

To improve your data-ink ratio, you should enhance the non-data ink in your chart.

Incorrect
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Correct
Q10-F

Graphs are usually a better choice than tables when you want to quickly compare two numbers.

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Correct
Q11-F

You should always display your measures to the highest level of precision possible.

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Correct
Q12-T

The aspect ratio of a graph’s data region greatly influences perception of the data.

Incorrect
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Correct
Q13-T

Running Total and Percent of Total are two of the Quick Table Calculations available in Tableau.

Incorrect
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Correct
Q14-T

Gridlines are helpful when perception of subtle differences in graphs is necessary.

Incorrect
No partial credit
No partial credit
Correct




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