Data Structures Spring 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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DATA      abc0 btt0 pct2 mpg0 mpg1 pct4 mpg2 cgf0 gfo0 pct6 cgf1 cgf2 pct8 cgf3 gfo1 pctA waq0 pctC waq1 gfo2  got+bns/totl tlly prjct+prtcp+jrnal=results ( grade )
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 lowscore: 100   69   38   66   67   30  100   66  100  100  100   66    0  100  100   66  100   66  100  100 ............. 46.992% ......................... ( 93.285)
 avgscore: 100   69   38   66   67   30  100   66  100  100  100   66    0  100  100   66  100   66  100  100 .............  90% ......................... (  4.664)
   median: 100   69   38   66   67   30  100   66  100  100  100   66    0  100  100   66  100   66  100  100 .............  90% ......................... ( 93.285)
  hiscore: 100   69   38   66   67   30  100   66  100  100  100   66    0  100  100   66  100   66  100  100 .............  88% ......................... ( 93.285)
     mode: 100   69   38   66   67   30  100   66  100  100  100   66    0  100  100   66  100   66  100  100 
    range:   0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0 
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 # passed:   1    1    0    1    1    0    1    1    1    1    1    1    0    1    1    1    1    1    1    1 .............    1 .........................  1 (100%)
  # of As:   1    0    0    0    0    0    1    0    1    1    1    0    0    1    1    0    1    0    1    1 .............    0 .........................  0 (  0%)
  # of Bs:   0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0 .............    1 .........................  1 (100%)
  # of Cs:   0    1    0    1    1    0    0    1    0    0    0    1    0    0    0    1    0    1    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    0 .............    0 .........................  0 (  0%)
  # of Fs:   0    0    1    0    0    1    0    0    0    0    0    0    1    0    0    0    0    0    0    0 .............    0 .........................  0 (  0%)
 # submit:   1    1    1    1    1    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    1    1    1    1 
  # onday:   1    1    1    1    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    1    1    1    1 
# missing:   1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1    1 
 % passed: 100% 100%   0% 100% 100%   0% 100% 100% 100% 100% 100% 100%   0% 100% 100% 100% 100% 100% 100% 100%
  % of As: 100%   0%   0%   0%   0%   0% 100%   0% 100% 100% 100%   0%   0% 100% 100%   0% 100%   0% 100% 100%
  % of Bs:   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%
  % of Cs:   0% 100%   0% 100% 100%   0%   0% 100%   0%   0%   0% 100%   0%   0%   0% 100%   0% 100%   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:   0%   0% 100%   0%   0% 100%   0%   0%   0%   0%   0%   0% 100%   0%   0%   0%   0%   0%   0%   0%
 % submit: 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%
  % early: 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%
  % onday: 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%
   % late: 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%
% missing: 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100%
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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).