Data Structures Fall 2017 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:  43    0  100    0    0    0 .............  22% ......................... ( 60.060)
 avgscore:  90   69  100   66   76   65 .............  83% ......................... ( 64.736)
   median: 100   84  100   83   88   87 .............  87% ......................... ( 82.403)
  hiscore: 100  100  100  100  100  100 ............. 142% ......................... (129.866)
     mode: 100  100  100   96  100   88 
    range:  57  100    0  100  100  100 
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 # passed:  14   10   15   11   12   10 .............   11 ......................... 15 (100%)
  # of As:   9    7   15    7    6    4 .............    5 .........................  5 ( 33%)
  # of Bs:   4    1    0    2    6    4 .............    3 .........................  3 ( 20%)
  # of Cs:   1    2    0    1    0    2 .............    2 .........................  5 ( 33%)
  # of Ds:   0    0    0    1    0    0 .............    1 .........................  2 ( 13%)
  # of Fs:   1    5    0    4    3    5 .............    4 .........................  0 (  0%)
 # submit:  21   15   17   13   16   13 
  # early:  16    6    6    6    5    2 
  # onday:   4    5    8    6    9    7 
   # late:   1    4    3    1    2    4 
# missing:   1    6    3    6    3    5 
 % passed:  93%  66% 100%  73%  80%  66%
  % of As:  60%  46% 100%  46%  40%  26%
  % of Bs:  26%   6%   0%  13%  40%  26%
  % of Cs:   6%  13%   0%   6%   0%  13%
  % of Ds:   0%   0%   0%   6%   0%   0%
  % of Fs:   6%  33%   0%  26%  20%  33%
 % submit: 140% 100% 113%  86% 106%  86%
  % early: 106%  40%  40%  40%  33%  13%
  % onday:  26%  33%  53%  40%  60%  46%
   % late:   6%  26%  20%   6%  13%  26%
% missing:   6%  40%  20%  40%  20%  33%
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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).