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iRubric: Excel Bar Chart/Graph Rubric

iRubric: Excel Bar Chart/Graph Rubric

 
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Excel Bar Chart/Graph Rubric 
Students will collect "Favorites" from classmates and then chart the data in at least two graphs.
Rubric Code: PACBC3
Ready to use
Public Rubric
Subject: Computers  
Type: Assignment  
Grade Levels: 9-12


Powered by iRubric Excel Bar Chart/Graph Rubric
  Excellent

10 pts

Very Good

9 pts

Good

8 pts

Satisfactory

7 pts

Poor

6 pts

Data and it's Labels

Excellent

Data entered and labeled with amounts.
Very Good

Data entered with or without labels.
Good

Data entered with or without labels.
Satisfactory

Data entered without labels.
Poor

Data entered without labels.
Graph Title

Excellent

Graph has appropriate title.
Very Good

Graph may or may not have a title.
Good

Graph has no title
Satisfactory

Graph has no title.
Poor

Graph has no title.
Legends

Excellent

Legend labels are spelled correctly.
Very Good

Legend may have labels but may be incorrectly labeled.
Good

Legend has no labels.
Satisfactory

Legend has no labels.
Poor

No legend or no labels.
X & Y Axis Labels

Excellent

X & Y Axis are labeled accordingly.
Very Good

X & Y Axis may or may not be labeled accordingly.
Good

X & Y Axis are not labeled.
Satisfactory

X & Y Axis are not labeled.
Poor

X & Y Axis are not labeled.
Pictures in Graph

Excellent

The graph has pictures within the chart.
Very Good

There may or may not be pictures present in the chart.
Good

There may be textures but no pictures in graph.
Satisfactory

No pictures in graph.
Poor

No pictures in graph.
Pie Chart

Excellent

Overall the pie chart was created correctly; easy to interpret data; arranged attractively on the page. All directions were completed correctly.
Very Good

Overall the pie chart was created correctly; easy to interpret data; arranged attractively on the page. All directions were completed correctly with less than 2 minor errors.
Good

Pie Chart created but hard to interpret.
Satisfactory

Created a pie chart.
Poor

Created a pie chart.



Keywords:
  • Title, Data Labels, Legend







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