Data Structures Fall 2018 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      dsi0 ael0 sln0 sln1 sll0 sll1  got+bns/totl tlly prjct+prtcp+jrnal=results ( grade )
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 lowscore:  69   66    0   50    0    0 .............  12% ......................... ( 47.091)
 avgscore:  91   93   88   88   84   74 .............  89% ......................... ( 49.801)
   median: 100  100  100   92   94   97 .............  98% ......................... ( 97.703)
  hiscore: 100  100  100  100  100  100 ............. 107% ......................... (106.229)
     mode: 100  100  100   95   98  100 
    range:  31   34  100   50  100  100 
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 # passed:  11   11   10   10   10    8 .............   10 ......................... 10 ( 90%)
  # of As:   7    9    9    5    6    7 .............    8 .........................  7 ( 63%)
  # of Bs:   2    1    0    5    3    1 .............    1 .........................  2 ( 18%)
  # of Cs:   2    1    1    0    1    0 .............    1 .........................  1 (  9%)
  # of Ds:   0    0    0    0    0    0 .............    0 .........................  0 (  0%)
  # of Fs:   0    0    1    1    1    3 .............    1 .........................  1 (  9%)
 # submit:  15   16   13   16   10   11 
  # early:  11    4    2    7    4    5 
  # onday:   8   12   12    7    6    5 
   # late:   1    2    1    1    1    1 
# missing:   1    1    4    1    5    4 
 % passed: 100% 100%  90%  90%  90%  72%
  % of As:  63%  81%  81%  45%  54%  63%
  % of Bs:  18%   9%   0%  45%  27%   9%
  % of Cs:  18%   9%   9%   0%   9%   0%
  % of Ds:   0%   0%   0%   0%   0%   0%
  % of Fs:   0%   0%   9%   9%   9%  27%
 % submit: 136% 145% 118% 145%  90% 100%
  % early: 100%  36%  18%  63%  36%  45%
  % onday:  72% 109% 109%  63%  54%  45%
   % late:   9%  18%   9%   9%   9%   9%
% missing:   9%   9%  36%   9%  45%  36%
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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).