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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CPROG     abc0 pct2 gtf0 dtr0 pct4 mmf0 cnv0 gfo0 pct6 cnv1 pct8 sam0 fwg0 fwg1 gfo1 pctA fwg2 fwg3 pctC gfo2  got+bns/totl tlly prjct+prtcp+jrnal=results ( grade )
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 lowscore:   0    0    0   30   61   48   50   33   65    0    0    0    0    0    0    0    0    0    0    0 ............. 9.424% ......................... ( 14.232)
 avgscore:  57   61   83   75   93   83   83   88   92   67   83   65   68   83   83   83   66   66   66   66 .............  95% ......................... ( 27.967)
   median:  61   84  100   78  100   87  100  100  100   97  100   97  100  100  100  100  100  100  100  100 .............  96% ......................... (119.871)
  hiscore: 100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100 ............. 125% ......................... (124.762)
     mode: 100  100  100   76  100   87  100  100  100  100  100  100  100  100  100  100  100  100  100  100 
    range: 100  100  100   70   39   52   50   67   35  100  100  100  100  100  100  100  100  100  100  100 
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 # passed:   3    4    5    5    6    5    4    5    6    4    5    4    4    5    5    5    4    4    4    4 .............    4 .........................  5 ( 83%)
  # of As:   2    3    5    1    5    2    4    5    4    4    5    4    4    5    5    5    4    4    4    4 .............    4 .........................  4 ( 66%)
  # of Bs:   0    0    0    4    0    3    0    0    1    0    0    0    0    0    0    0    0    0    0    0 .............    0 .........................  0 (  0%)
  # of Cs:   1    1    0    0    0    0    0    0    1    0    0    0    0    0    0    0    0    0    0    0 .............    0 .........................  0 (  0%)
  # of Ds:   0    0    0    0    1    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0 .............    0 .........................  1 ( 16%)
  # of Fs:   3    2    1    1    0    1    2    1    0    2    1    2    2    1    1    1    2    2    2    2 .............    2 .........................  1 ( 16%)
 # submit:   5    4    5    5    5    6    6    5    6    4    5    4    4    5    5    5    4    4    4    4 
  # early:   4    4    4    3    4    4    4    3    4    3    5    2    1    2    3    5    3    3    3    3 
  # onday:   1    1    1    2    1    2    2    2    2    1    1    2    3    3    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    1    1    1    1    1    1    1    1    1    2    1    1    1    1    2    2    2    2 
 % passed:  50%  66%  83%  83% 100%  83%  66%  83% 100%  66%  83%  66%  66%  83%  83%  83%  66%  66%  66%  66%
  % of As:  33%  50%  83%  16%  83%  33%  66%  83%  66%  66%  83%  66%  66%  83%  83%  83%  66%  66%  66%  66%
  % of Bs:   0%   0%   0%  66%   0%  50%   0%   0%  16%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%
  % of Cs:  16%  16%   0%   0%   0%   0%   0%   0%  16%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%
  % of Ds:   0%   0%   0%   0%  16%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%
  % of Fs:  50%  33%  16%  16%   0%  16%  33%  16%   0%  33%  16%  33%  33%  16%  16%  16%  33%  33%  33%  33%
 % submit:  83%  66%  83%  83%  83% 100% 100%  83% 100%  66%  83%  66%  66%  83%  83%  83%  66%  66%  66%  66%
  % early:  66%  66%  66%  50%  66%  66%  66%  50%  66%  50%  83%  33%  16%  33%  50%  83%  50%  50%  50%  50%
  % onday:  16%  16%  16%  33%  16%  33%  33%  33%  33%  16%  16%  33%  50%  50%  33%  16%  16%  16%  16%  16%
   % late:  16%  16%  16%  16%  16%  16%  16%  16%  16%  16%  16%  16%  16%  16%  16%  16%  16%  16%  16%  16%
% missing:  16%  16%  16%  16%  16%  16%  16%  16%  16%  16%  16%  33%  16%  16%  16%  16%  33%  33%  33%  33%
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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).