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      adm0 ntr0 pbx0 pct2 pbx1 pct4 pbx2 gfo0 pct6 upf0 upf1 pct8 usr0 gfo1 pctA srf0 mtf0 pctC wpa0 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:  50   80   65   62   66   28   83   38   33   73   72   16   66   44   16   38   16   16   50   38 .............  59% ......................... ( 15.963)
   median:  59   96   96   88  100    0  100   33    0   89   87    0  100   33    0   33    0    0   50   16 .............  15% ......................... ( 58.659)
  hiscore: 100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100 ............. 103% ......................... ( 91.685)
     mode:   0  100  100  100  100    0  100   33    0   89   87    0  100   33    0   33    0    0  100    0 
    range: 100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100 
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 # passed:   3    5    4    4    4    2    5    2    2    5    5    1    4    2    1    2    1    1    3    2 .............    3 .........................  3 ( 50%)
  # of As:   1    3    3    3    4    1    5    1    2    1    1    1    4    2    1    1    1    1    3    2 .............    1 .........................  0 (  0%)
  # of Bs:   2    2    1    1    0    0    0    0    0    3    3    0    0    0    0    0    0    0    0    0 .............    1 .........................  1 ( 16%)
  # of Cs:   0    0    0    0    0    1    0    1    0    1    1    0    0    0    0    1    0    0    0    0 .............    1 .........................  2 ( 33%)
  # of Ds:   0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0 .............    0 .........................  0 (  0%)
  # of Fs:   3    1    2    2    2    4    1    4    4    1    1    5    2    4    5    4    5    5    3    4 .............    3 .........................  3 ( 50%)
 # submit:   3    5    3    4    4    1    5    4    2    5    5    1    4    4    1    2    1    1    3    3 
  # early:   1    4    3    3    3    1    1    2    2    1    1    1    2    3    1    1    1    1    1    3 
  # onday:   3    1    1    1    1    1    5    2    1    5    4    1    2    1    1    1    1    1    2    1 
   # late:   1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    2    1    1    1    1 
# missing:   2    1    2    2    2    4    1    2    4    1    1    5    2    2    5    2    5    5    3    3 
 % passed:  50%  83%  66%  66%  66%  33%  83%  33%  33%  83%  83%  16%  66%  33%  16%  33%  16%  16%  50%  33%
  % of As:  16%  50%  50%  50%  66%  16%  83%  16%  33%  16%  16%  16%  66%  33%  16%  16%  16%  16%  50%  33%
  % of Bs:  33%  33%  16%  16%   0%   0%   0%   0%   0%  50%  50%   0%   0%   0%   0%   0%   0%   0%   0%   0%
  % of Cs:   0%   0%   0%   0%   0%  16%   0%  16%   0%  16%  16%   0%   0%   0%   0%  16%   0%   0%   0%   0%
  % of Ds:   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%
  % of Fs:  50%  16%  33%  33%  33%  66%  16%  66%  66%  16%  16%  83%  33%  66%  83%  66%  83%  83%  50%  66%
 % submit:  50%  83%  50%  66%  66%  16%  83%  66%  33%  83%  83%  16%  66%  66%  16%  33%  16%  16%  50%  50%
  % early:  16%  66%  50%  50%  50%  16%  16%  33%  33%  16%  16%  16%  33%  50%  16%  16%  16%  16%  16%  50%
  % onday:  50%  16%  16%  16%  16%  16%  83%  33%  16%  83%  66%  16%  33%  16%  16%  16%  16%  16%  33%  16%
   % late:  16%  16%  16%  16%  16%  16%  16%  16%  16%  16%  16%  16%  16%  16%  16%  33%  16%  16%  16%  16%
% missing:  33%  16%  33%  33%  33%  66%  16%  33%  66%  16%  16%  83%  33%  33%  83%  33%  83%  83%  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).