Data and visualizations generated from class activity.

This information is provided to give you a better perspective on how the class as a whole is trending.

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DISCRETE  ntr0 pct2 pnf0 uom0 pct4 pnf1 gfo0 pnf2 pnf3 pct6 saf0 pct8 saf1 saf2 fom0 gfo1 pctA mpg0 pctC gfo2  got+bns/totl tlly prjct+prtcp+jrnal=results ( grade )
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 lowscore:  30    0    0    0    0    0    0    0    0    0   42    0    0    0    0    0    0    0    0    0 .............   7% ......................... ( 14.951)
 avgscore:  78   81   56   60   71   57   76   76   45   57   88   71   73   57   50   71   66   53   65   71 .............  86% ......................... ( 29.341)
   median: 100  100   60   88  100   66  100   83   50  100  100  100  100  100   50  100  100   75   89  100 .............  89% ......................... ( 93.020)
  hiscore: 100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100 ............. 138% ......................... (126.614)
     mode: 100  100  100  100  100  100  100  100    0  100  100  100  100  100  100  100  100  100  100  100 
    range:  70  100  100  100  100  100  100  100  100  100   58  100  100  100  100  100  100  100  100  100 
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 # passed:   5    6    4    4    5    4    5    6    3    4    6    5    5    4    3    5    5    4    5    5 .............    5 .........................  5 ( 71%)
  # of As:   4    5    2    3    5    2    5    3    2    4    5    5    4    4    3    5    4    3    3    5 .............    3 .........................  3 ( 42%)
  # of Bs:   1    0    1    1    0    1    0    2    0    0    0    0    0    0    0    0    0    0    1    0 .............    1 .........................  2 ( 28%)
  # of Cs:   0    1    0    0    0    1    0    1    1    0    1    0    1    0    0    0    1    1    1    0 .............    1 .........................  0 (  0%)
  # of Ds:   0    0    1    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0 .............    0 .........................  0 (  0%)
  # of Fs:   2    1    3    3    2    3    2    1    4    3    1    2    2    3    4    2    2    3    2    2 .............    2 .........................  2 ( 28%)
 # submit:   7    5    5    5    5    5    6    6    3    4    6    5    6    4    4    5    5    3    5    5 
  # early:   6    3    1    5    3    3    5    4    1    4    3    2    2    3    2    5    4    3    5    5 
  # onday:   1    2    4    1    2    2    1    2    2    1    3    3    4    1    2    1    1    1    1    1 
   # late:   1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1 
# missing:   1    1    2    2    2    2    1    1    3    3    1    2    1    3    3    2    2    4    2    2 
 % passed:  71%  85%  57%  57%  71%  57%  71%  85%  42%  57%  85%  71%  71%  57%  42%  71%  71%  57%  71%  71%
  % of As:  57%  71%  28%  42%  71%  28%  71%  42%  28%  57%  71%  71%  57%  57%  42%  71%  57%  42%  42%  71%
  % of Bs:  14%   0%  14%  14%   0%  14%   0%  28%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%  14%   0%
  % of Cs:   0%  14%   0%   0%   0%  14%   0%  14%  14%   0%  14%   0%  14%   0%   0%   0%  14%  14%  14%   0%
  % of Ds:   0%   0%  14%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%
  % of Fs:  28%  14%  42%  42%  28%  42%  28%  14%  57%  42%  14%  28%  28%  42%  57%  28%  28%  42%  28%  28%
 % submit: 100%  71%  71%  71%  71%  71%  85%  85%  42%  57%  85%  71%  85%  57%  57%  71%  71%  42%  71%  71%
  % early:  85%  42%  14%  71%  42%  42%  71%  57%  14%  57%  42%  28%  28%  42%  28%  71%  57%  42%  71%  71%
  % onday:  14%  28%  57%  14%  28%  28%  14%  28%  28%  14%  42%  42%  57%  14%  28%  14%  14%  14%  14%  14%
   % late:  14%  14%  14%  14%  14%  14%  14%  14%  14%  14%  14%  14%  14%  14%  14%  14%  14%  14%  14%  14%
% missing:  14%  14%  28%  28%  28%  28%  14%  14%  42%  42%  14%  28%  14%  42%  42%  28%  28%  57%  28%  28%
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Of the various all-class metrics we can analyze:

• low score
• average score
• median score
• high score
• submission rate
• late/missing rate

We can visualize the results to gain a big picture view. The more the data stays within a certain range, the less interesting the graphs will appear. In such cases, boring graphs indicate the class as a whole is staying relatively the same with respect to that metric (dips would tend to indicate problems, rises would tend to indicate improvements).