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pct0 (bonus; due 20230823)
wcp1 (due 20230823)
abc0 (due 20230830)
btt0 (due 20230830)
pct1 (bonus; due 20230830)
pct2 (due 20230830)
wcp2 (due 20230830)
mpg0 (due 20230906)
pct3 (bonus; due 20230906)
wcp3 (due 20230906)
pct4 (due 20230913)
ttb0 (due 20230913)
wcp4 (due 20230913)
pct5 (bonus; due 20230920)
ttb1 (due 20230920)
wcp5 (due 20230920)
dap0 (due 20230927)
gfo0 (due 20230927)
pct6 (due 20230927)
wcp6 (due 20230927)
cgf0 (due 20231004)
pct7 (bonus; due 20231004)
wcp7 (due 20231004)
bwp1 (bonus; due 20231018)
cgf1 (due 20231018)
pct8 (due 20231018)
wcp8 (due 20231018)
cgf2 (due 20231025)
pct9 (bonus; due 20231025)
wcp9 (due 20231025)
cgf3 (due 20231101)
gfo1 (due 20231101)
pctA (due 20231101)
wcpA (due 20231101)
pctB (bonus; due 20231108)
waq0 (due 20231108)
wcpB (due 20231108)
pctC (due 20231115)
waq1 (due 20231115)
wcpC (due 20231115)
bwp2 (bonus; due 20231129)
pctD (bonus; due 20231129)
wcpD (bonus; due 20231129)
gfo2 (due 20231206)
pctE (bonus; due 20231206)
wcpE (bonus; due 20231206)
EoCE (due 20231214)
haas:fall2023:data:projects:status

Data Structures Fall 2023 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

============================================================================================================================================================================
DATA      abc0 btt0 pct2 mpg0 pct4 ttb0 ttb1 dap0 gfo0 pct6 cgf0 cgf1 pct8 cgf2 cgf3 gfo1 pctA waq0 pctC waq1 gfo2  got+bns/totl tlly prjct+prtcp+jrnal=results ( grade )
============================================================================================================================================================================
 lowscore:  53    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0 ............. 0.0% ......................... (  3.219)
 avgscore:  95   76   77   76   77   63   50   54   84   86   50   60   58   40   46   78   67   55   54   51   58 .............  69% ......................... ( 36.621)
   median: 100  100  100  100  100   78   45   66  100  100   50   75   92    0   52  100   96   62   74   58   91 .............  86% ......................... ( 65.859)
  hiscore: 100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100 ............. 125% ......................... (124.358)
     mode: 100  100  100  100  100  100  100   66  100  100  100  100  100    0    0  100  100  100  100  100  100 
    range:  47  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100  100 
============================================================================================================================================================================
 # passed:   9    8    8    8    8    6    5    6    9    9    4    5    6    4    5    8    7    5    5    5    6 .............    6 .........................  7 ( 70%)
  # of As:   9    6    6    7    6    4    4    3    7    7    4    5    5    4    3    7    5    3    5    4    5 .............    4 .........................  4 ( 40%)
  # of Bs:   0    1    2    0    2    2    1    0    1    2    0    0    1    0    0    1    2    0    0    0    1 .............    0 .........................  0 (  0%)
  # of Cs:   0    1    0    0    0    0    0    3    1    0    0    0    0    0    0    0    0    2    0    1    0 .............    1 .........................  2 ( 20%)
  # of Ds:   0    0    0    1    0    0    0    0    0    0    0    0    0    0    2    0    0    0    0    0    0 .............    1 .........................  1 ( 10%)
  # of Fs:   1    2    2    2    2    4    5    4    1    1    6    5    4    6    5    2    3    5    5    5    4 .............    4 .........................  3 ( 30%)
 # submit:  10    8    8    7    8    7    7    4    9    9    5    6    6    4    6    8    7    6    5    5    6 
  # early:   8    7    7    4    5    3    3    1    5    6    1    2    6    2    3    5    5    2    4    3    4 
  # onday:   2    1    1    3    3    4    4    3    4    3    4    4    1    2    3    3    2    4    1    2    2 
   # late:   1    1    1    1    1    1    1    3    1    1    1    1    1    1    1    1    1    1    1    1    1 
# missing:   1    1    2    3    2    3    3    3    1    1    4    4    4    6    4    2    3    4    4    4    4 
 % passed:  90%  80%  80%  80%  80%  60%  50%  60%  90%  90%  40%  50%  60%  40%  50%  80%  70%  50%  50%  50%  60%
  % of As:  90%  60%  60%  70%  60%  40%  40%  30%  70%  70%  40%  50%  50%  40%  30%  70%  50%  30%  50%  40%  50%
  % of Bs:   0%  10%  20%   0%  20%  20%  10%   0%  10%  20%   0%   0%  10%   0%   0%  10%  20%   0%   0%   0%  10%
  % of Cs:   0%  10%   0%   0%   0%   0%   0%  30%  10%   0%   0%   0%   0%   0%   0%   0%   0%  20%   0%  10%   0%
  % of Ds:   0%   0%   0%  10%   0%   0%   0%   0%   0%   0%   0%   0%   0%   0%  20%   0%   0%   0%   0%   0%   0%
  % of Fs:  10%  20%  20%  20%  20%  40%  50%  40%  10%  10%  60%  50%  40%  60%  50%  20%  30%  50%  50%  50%  40%
 % submit: 100%  80%  80%  70%  80%  70%  70%  40%  90%  90%  50%  60%  60%  40%  60%  80%  70%  60%  50%  50%  60%
  % early:  80%  70%  70%  40%  50%  30%  30%  10%  50%  60%  10%  20%  60%  20%  30%  50%  50%  20%  40%  30%  40%
  % onday:  20%  10%  10%  30%  30%  40%  40%  30%  40%  30%  40%  40%  10%  20%  30%  30%  20%  40%  10%  20%  20%
   % late:  10%  10%  10%  10%  10%  10%  10%  30%  10%  10%  10%  10%  10%  10%  10%  10%  10%  10%  10%  10%  10%
% missing:  10%  10%  20%  30%  20%  30%  30%  30%  10%  10%  40%  40%  40%  60%  40%  20%  30%  40%  40%  40%  40%
============================================================================================================================================================================

Class Project Progress

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).

Project Metrics

Project Metrics graph

Class Ranking

Project Ranking graph

haas/fall2023/data/projects/status.txt · Last modified: 2023/12/16 15:08 by 127.0.0.1