C/C++ Programming Fall 2024 Status

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     pct2 abc0 gtf0 dtr0 pct4 mmf0 cnv0 gfo0 pct6 fwg0 cnv1 pct8 fwg1 fwg2 gfo1 pctA fwg3 oop0 pctC  got+bns/totl tlly prjct+prtcp+jrnal=results ( grade )
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 lowscore:   0   46   25    0    0   40    0    0    0    0    0   66    0    0    0    0    0    0    0 .............   5% ......................... ( 21.806)
 avgscore:  75   78   81   56   50   85   45   58   58   73   60   91   75   50   50   75   50   75   50 .............  74% ......................... ( 15.110)
   median: 100   84  100   75   50  100   41   67   66   96   70  100  100   50   50  100   50  100   50 .............  48% ......................... ( 80.672)
  hiscore: 100  100  100   75  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100 ............. 115% ......................... (119.050)
     mode: 100  100  100   75  100  100    0  100  100  100  100  100  100  100  100  100  100  100  100 
    range: 100   54   75   75  100   60  100  100  100  100  100   34  100  100  100  100  100  100  100 
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 # passed:   3    3    3    3    2    3    2    2    2    3    2    4    3    2    2    3    2    3    2 .............    3 .........................  3 ( 75%)
  # of As:   3    2    3    0    2    3    1    2    2    2    2    3    3    2    2    3    2    3    2 .............    2 .........................  1 ( 25%)
  # of Bs:   0    0    0    0    0    0    1    0    0    1    0    0    0    0    0    0    0    0    0 .............    0 .........................  1 ( 25%)
  # of Cs:   0    1    0    3    0    0    0    0    0    0    0    1    0    0    0    0    0    0    0 .............    0 .........................  1 ( 25%)
  # of Ds:   0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0 .............    1 .........................  0 (  0%)
  # of Fs:   1    1    1    1    2    1    2    2    2    1    2    0    1    2    2    1    2    1    2 .............    1 .........................  1 ( 25%)
 # submit:   3    4    3    2    2    3    2    2    2    3    2    3    3    2    2    3    2    2    2 
  # early:   3    4    2    2    2    2    2    1    1    2    2    3    2    1    1    2    1    1    1 
  # onday:   1    1    1    1    1    1    1    1    1    1    1    1    1    2    1    1    2    2    1 
   # late:   1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1 
# missing:   1    1    1    1    2    1    2    1    1    1    1    1    1    2    2    1    2    1    2 
 % passed:  75%  75%  75%  75%  50%  75%  50%  50%  50%  75%  50% 100%  75%  50%  50%  75%  50%  75%  50%
  % of As:  75%  50%  75%   0%  50%  75%  25%  50%  50%  50%  50%  75%  75%  50%  50%  75%  50%  75%  50%
  % of Bs:   0%   0%   0%   0%   0%   0%  25%   0%   0%  25%   0%   0%   0%   0%   0%   0%   0%   0%   0%
  % of Cs:   0%  25%   0%  75%   0%   0%   0%   0%   0%   0%   0%  25%   0%   0%   0%   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%
  % of Fs:  25%  25%  25%  25%  50%  25%  50%  50%  50%  25%  50%   0%  25%  50%  50%  25%  50%  25%  50%
 % submit:  75% 100%  75%  50%  50%  75%  50%  50%  50%  75%  50%  75%  75%  50%  50%  75%  50%  50%  50%
  % early:  75% 100%  50%  50%  50%  50%  50%  25%  25%  50%  50%  75%  50%  25%  25%  50%  25%  25%  25%
  % onday:  25%  25%  25%  25%  25%  25%  25%  25%  25%  25%  25%  25%  25%  50%  25%  25%  50%  50%  25%
   % late:  25%  25%  25%  25%  25%  25%  25%  25%  25%  25%  25%  25%  25%  25%  25%  25%  25%  25%  25%
% missing:  25%  25%  25%  25%  50%  25%  50%  25%  25%  25%  25%  25%  25%  50%  50%  25%  50%  25%  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).