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      pct2 abc0 dac0 gtf0 pct4 tpb0 gfo0 pct6 tpb1 usr0 pct8 tpb2 wpa0 fwg0 gfo1 pctA upf0 ldg0 pctC  got+bns/totl tlly prjct+prtcp+jrnal=results ( grade )
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 lowscore:   0   46   66   67    0    0    0    0    0   82    0    0    0    0    0    0    0    0    0 .............  19% ......................... ( 39.698)
 avgscore:  66   72   81   90   50   64   55   49   77   95   77   65   49   83   79   61   64   47   37 .............  78% ......................... ( 24.099)
   median: 100   72   83  100   50   76   50   49   91  100  100   96   49  100  100   83   70   41   11 .............   9% ......................... ( 82.327)
  hiscore: 100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100 ............. 121% ......................... (120.971)
     mode: 100   46   92  100  100  100   34  100  100  100  100  100  100  100  100  100   90  100    0 
    range: 100   54   34   33  100  100  100  100  100   18  100  100  100  100  100  100  100  100  100 
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 # passed:   4    4    6    6    3    3    3    3    5    6    5    4    3    5    5    4    4    2    2 .............    4 .........................  4 ( 66%)
  # of As:   4    2    1    4    3    3    2    2    3    4    4    3    2    5    4    3    1    2    2 .............    2 .........................  2 ( 33%)
  # of Bs:   0    1    2    0    0    0    0    0    2    2    0    1    0    0    0    0    2    0    0 .............    1 .........................  2 ( 33%)
  # of Cs:   0    1    3    2    0    0    1    1    0    0    1    0    1    0    1    1    0    0    0 .............    1 .........................  0 (  0%)
  # of Ds:   0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    1    0    0 .............    0 .........................  0 (  0%)
  # of Fs:   2    2    0    0    3    3    3    3    1    0    1    2    3    1    1    2    2    4    4 .............    2 .........................  2 ( 33%)
 # submit:   4    6    4    5    3    3    2    2    5    5    4    4    2    5    5    3    3    2    2 
  # early:   3    6    1    2    2    3    1    2    1    2    4    2    1    1    2    3    1    1    2 
  # onday:   1    1    4    3    1    1    1    1    4    3    1    2    1    4    3    1    2    1    1 
   # late:   1    1    2    1    1    2    3    2    1    1    1    1    2    1    1    1    2    2    1 
# missing:   2    1    1    1    3    1    1    2    1    1    1    2    2    1    1    2    1    2    3 
 % passed:  66%  66% 100% 100%  50%  50%  50%  50%  83% 100%  83%  66%  50%  83%  83%  66%  66%  33%  33%
  % of As:  66%  33%  16%  66%  50%  50%  33%  33%  50%  66%  66%  50%  33%  83%  66%  50%  16%  33%  33%
  % of Bs:   0%  16%  33%   0%   0%   0%   0%   0%  33%  33%   0%  16%   0%   0%   0%   0%  33%   0%   0%
  % of Cs:   0%  16%  50%  33%   0%   0%  16%  16%   0%   0%  16%   0%  16%   0%  16%  16%   0%   0%   0%
  % of Ds:   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%  16%   0%   0%
  % of Fs:  33%  33%   0%   0%  50%  50%  50%  50%  16%   0%  16%  33%  50%  16%  16%  33%  33%  66%  66%
 % submit:  66% 100%  66%  83%  50%  50%  33%  33%  83%  83%  66%  66%  33%  83%  83%  50%  50%  33%  33%
  % early:  50% 100%  16%  33%  33%  50%  16%  33%  16%  33%  66%  33%  16%  16%  33%  50%  16%  16%  33%
  % onday:  16%  16%  66%  50%  16%  16%  16%  16%  66%  50%  16%  33%  16%  66%  50%  16%  33%  16%  16%
   % late:  16%  16%  33%  16%  16%  33%  50%  33%  16%  16%  16%  16%  33%  16%  16%  16%  33%  33%  16%
% missing:  33%  16%  16%  16%  50%  16%  16%  33%  16%  16%  16%  33%  33%  16%  16%  33%  16%  33%  50%
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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).