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      abc0 pct2 dac0 pct4 tpb0 tpb1 gfo0 pct6 skbD tpb2 pct8 usr0 wpa0 fwg0 gfo1 pctA  got+bns/totl tlly prjct+prtcp+jrnal=results ( grade )
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 lowscore:  53    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0 ............. 999999% ......................... ( 999999)
 avgscore:  76   50   50   50   50   50   50   50   50   50   50   31    0   50   50   50 
   median:  76   50   50   50   50   50   50   50   50   50   50   31    0   50   50   50 
  hiscore: 100  100  100  100  100  100  100  100  100  100  100   63    0  100  100  100 .............   0% ......................... (      0)
     mode:  53  100  100  100  100  100  100  100  100  100  100   63    0  100  100  100 
    range:  47  100  100  100  100  100  100  100  100  100  100   63    0  100  100  100 
===================================================================================================================================================
 # passed:   1    1    1    1    1    1    1    1    1    1    1    1    0    1    1    1 .............    1 .........................  1 ( 50%)
  # of As:   1    1    1    1    1    1    1    1    1    1    1    0    0    1    1    1 .............    0 .........................  1 ( 50%)
  # of Bs:   0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0 .............    1 .........................  0 (  0%)
  # of Cs:   0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0 .............    0 .........................  0 (  0%)
  # of Ds:   0    0    0    0    0    0    0    0    0    0    0    1    0    0    0    0 .............    0 .........................  0 (  0%)
  # of Fs:   1    1    1    1    1    1    1    1    1    1    1    1    2    1    1    1 .............    1 .........................  1 ( 50%)
 # submit:   2    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1 
  # early:   1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1 
  # onday:   1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1 
   # late:   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    1    1    1    1    1 
 % passed:  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%   0%  50%  50%  50%
  % of As:  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%   0%   0%  50%  50%  50%
  % of Bs:   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%
  % of Cs:   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%
  % of Ds:   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%  50%   0%   0%   0%   0%
  % of Fs:  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50% 100%  50%  50%  50%
 % submit: 100%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%
  % early:  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%
  % onday:  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%
   % late:  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%
% missing:  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  50%  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).