Table of Contents

Data Structures Fall 2019 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.

Numeric Stats on Deliverables

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DATA      dsi0 pct1 ael0 pct2 sln0 pct3 sln1 pct4 sll0 pct5 sll1 pct6 sll2  got+bns/totl tlly prjct+prtcp+jrnal=results ( grade )
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 lowscore: 100    0   55    0    0    0   89    0   68    0   47    0   82 .............  52% ......................... ( 91.519)
 avgscore: 100   78   91   60   80   40   95   60   92   80   87   68   94 ............. 133% ......................... ( 29.040)
   median: 100  100  100  100  100    0   98  100   98  100   98   91  100 ............. 136% ......................... (114.025)
  hiscore: 100  100  100  100  100  100  100  100  100  100  100  100  100 ............. 150% ......................... (134.552)
     mode: 100  100  100  100  100    0   98  100  100  100  100  100  100 
    range:   0  100   45  100  100  100   11  100   32  100   53  100   18 
====================================================================================================================================
 # passed:   5    4    4    3    4    2    5    3    5    4    4    3    5 .............    5 .........................  5 (100%)
  # of As:   5    3    4    3    4    2    4    3    4    4    4    2    3 .............    5 .........................  4 ( 80%)
  # of Bs:   0    1    0    0    0    0    1    0    0    0    0    1    2 .............    0 .........................  1 ( 20%)
  # of Cs:   0    0    0    0    0    0    0    0    1    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%)
  # of Fs:   0    1    1    2    1    3    0    2    0    1    1    2    0 .............    0 .........................  0 (  0%)
 # submit:  10    6    6    5    6    3    5    6    6    6    5    6    5 
  # early:   6    2    4    1    1    1    3    2    3    3    2    4    2 
  # onday:   1    4    2    3    5    2    2    4    2    3    3    1    3 
   # late:   1    1    1    1    1    1    1    1    1    1    1    1    1 
# missing:   1    1    1    2    1    4    2    1    1    1    2    1    2 
 % passed: 100%  80%  80%  60%  80%  40% 100%  60% 100%  80%  80%  60% 100%
  % of As: 100%  60%  80%  60%  80%  40%  80%  60%  80%  80%  80%  40%  60%
  % of Bs:   0%  20%   0%   0%   0%   0%  20%   0%   0%   0%   0%  20%  40%
  % of Cs:   0%   0%   0%   0%   0%   0%   0%   0%  20%   0%   0%   0%   0%
  % of Ds:   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%
  % of Fs:   0%  20%  20%  40%  20%  60%   0%  40%   0%  20%  20%  40%   0%
 % submit: 200% 120% 120% 100% 120%  60% 100% 120% 120% 120% 100% 120% 100%
  % early: 120%  40%  80%  20%  20%  20%  60%  40%  60%  60%  40%  80%  40%
  % onday:  20%  80%  40%  60% 100%  40%  40%  80%  40%  60%  60%  20%  60%
   % late:  20%  20%  20%  20%  20%  20%  20%  20%  20%  20%  20%  20%  20%
% missing:  20%  20%  20%  40%  20%  80%  40%  20%  20%  20%  40%  20%  40%
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Class Project Progress

Of the various all-class metrics we can analyze:

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).

Project Metrics

Project Metrics graph

Class Ranking

Project Ranking graph