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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UNIX      ntr0 ngf0 pct2 adm0 ngf1 pbx0 gfo0 ngf2 pct6 pbx1 ngf3 pct8 gfo1 pbx2 ngf4 pctA ldg0 ngf5 pctC gfo2  got+bns/totl tlly prjct+prtcp+jrnal=results ( grade )
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 lowscore:   0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0 .............   0% ......................... (    0.0)
 avgscore:  77   77   42   66   72   63   62   62   52   64   56   41   62   53   51   46   32   31   42   62 .............  61% ......................... ( 48.728)
   median:  92   96    3   88   96   81  100   90   69   90   66    0   83   67   55   25   30   14    0  100 .............  96% ......................... ( 71.910)
  hiscore: 100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100   92  100  100  100 ............. 111% ......................... (108.435)
     mode: 100  100    0   92  100  100  100    0  100  100  100    0  100    0    0    0    0    0    0  100 
    range: 100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100   92  100  100  100 
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 # passed:  13   13    7   12   12   10   10   11    9   11    9    7   11   10    8    7    4    4    7   10 .............   11 ......................... 11 ( 68%)
  # of As:   7    8    6    1    8    7    9    4    7    7    5    6    8    2    4    7    0    2    6   10 .............    3 .........................  3 ( 18%)
  # of Bs:   6    4    0   10    4    3    0    6    0    3    2    0    0    5    3    0    2    1    1    0 .............    5 .........................  4 ( 25%)
  # of Cs:   0    0    1    1    0    0    1    0    2    1    2    1    3    2    0    0    2    1    0    0 .............    2 .........................  4 ( 25%)
  # of Ds:   0    1    0    0    0    0    0    1    0    0    0    0    0    1    1    0    0    0    0    0 .............    1 .........................  0 (  0%)
  # of Fs:   3    3    9    4    4    6    6    5    7    5    7    9    5    6    8    9   12   12    9    6 .............    5 .........................  5 ( 31%)
 # submit:  27   15   15   22   13   13   12   12   15   12   12   12   11   11   10   13    9    9   12   10 
  # early:  11   10    4    7    8    9    5    5    1    4    5    3    7    2    5    2    4    3    3    9 
  # onday:   2    4    3    6    5    3    5    6    6    7    5    3    3    6    4    5    5    4    4    1 
   # late:   3    1    1    1    1    1    2    1    2    1    2    1    1    3    1    1    1    2    1    1 
# missing:   3    4   11    5    6    6    7    7   10    7    7   12    6    6    6    8    7    7    9    6 
 % passed:  81%  81%  43%  75%  75%  62%  62%  68%  56%  68%  56%  43%  68%  62%  50%  43%  25%  25%  43%  62%
  % of As:  43%  50%  37%   6%  50%  43%  56%  25%  43%  43%  31%  37%  50%  12%  25%  43%   0%  12%  37%  62%
  % of Bs:  37%  25%   0%  62%  25%  18%   0%  37%   0%  18%  12%   0%   0%  31%  18%   0%  12%   6%   6%   0%
  % of Cs:   0%   0%   6%   6%   0%   0%   6%   0%  12%   6%  12%   6%  18%  12%   0%   0%  12%   6%   0%   0%
  % of Ds:   0%   6%   0%   0%   0%   0%   0%   6%   0%   0%   0%   0%   0%   6%   6%   0%   0%   0%   0%   0%
  % of Fs:  18%  18%  56%  25%  25%  37%  37%  31%  43%  31%  43%  56%  31%  37%  50%  56%  75%  75%  56%  37%
 % submit: 168%  93%  93% 137%  81%  81%  75%  75%  93%  75%  75%  75%  68%  68%  62%  81%  56%  56%  75%  62%
  % early:  68%  62%  25%  43%  50%  56%  31%  31%   6%  25%  31%  18%  43%  12%  31%  12%  25%  18%  18%  56%
  % onday:  12%  25%  18%  37%  31%  18%  31%  37%  37%  43%  31%  18%  18%  37%  25%  31%  31%  25%  25%   6%
   % late:  18%   6%   6%   6%   6%   6%  12%   6%  12%   6%  12%   6%   6%  18%   6%   6%   6%  12%   6%   6%
% missing:  18%  25%  68%  31%  37%  37%  43%  43%  62%  43%  43%  75%  37%  37%  37%  50%  43%  43%  56%  37%
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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).