Data Structures Fall 2020 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      ntr0 ael0 pct2 sln0 sln1 sll0 pct6 sll1 sll2  got+bns/totl tlly prjct+prtcp+jrnal=results ( grade )
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 lowscore:   0   11    0   66    0    0    0    0    0 .............   5% ......................... ( 19.028)
 avgscore:  89   82   62   96   77   69   62   74   70 ............. 103% ......................... ( 53.471)
   median: 100  100   84  100   94   90   97   98   88 ............. 116% ......................... (104.720)
  hiscore: 100  100  100  100  100  100  100  100  100 ............. 150% ......................... (133.574)
     mode: 100  100  100  100   96  100  100  100   93 
    range: 100   89  100   34  100  100  100  100  100 
================================================================================================================
 # passed:  10    9    7   11    9    8    7    8    8 .............    9 .........................  9 ( 81%)
  # of As:   8    7    3   10    7    5    6    6    2 .............    8 .........................  7 ( 63%)
  # of Bs:   2    1    3    0    2    3    1    2    6 .............    1 .........................  2 ( 18%)
  # of Cs:   0    1    1    1    0    0    0    0    0 .............    0 .........................  0 (  0%)
  # of Ds:   0    0    0    0    0    0    0    0    0 .............    0 .........................  0 (  0%)
  # of Fs:   1    2    4    0    2    3    4    3    3 .............    2 .........................  2 ( 18%)
 # submit:  15   14   11   15   12    9    8    9    9 
  # early:  15    9    5    6    5    5    5    4    4 
  # onday:   1    3    4    7    7    1    2    2    3 
   # late:   1    2    2    2    1    4    1    3    2 
# missing:   2    3    6    1    4    5    6    4    4 
 % passed:  90%  81%  63% 100%  81%  72%  63%  72%  72%
  % of As:  72%  63%  27%  90%  63%  45%  54%  54%  18%
  % of Bs:  18%   9%  27%   0%  18%  27%   9%  18%  54%
  % of Cs:   0%   9%   9%   9%   0%   0%   0%   0%   0%
  % of Ds:   0%   0%   0%   0%   0%   0%   0%   0%   0%
  % of Fs:   9%  18%  36%   0%  18%  27%  36%  27%  27%
 % submit: 136% 127% 100% 136% 109%  81%  72%  81%  81%
  % early: 136%  81%  45%  54%  45%  45%  45%  36%  36%
  % onday:   9%  27%  36%  63%  63%   9%  18%  18%  27%
   % late:   9%  18%  18%  18%   9%  36%   9%  27%  18%
% missing:  18%  27%  54%   9%  36%  45%  54%  36%  36%
================================================================================================================

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).