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.
=============================================================================================================================================== UNIX uxi0 adm0 pbx0 pbx1 uka0 pbx2 usr0 upf0 upf1 spf0 pwn0 gfo0 gtf0 icp0 got+bns/totl tlly prjct+prtcp+jrnal+eoce =results ( grade ) =============================================================================================================================================== lowscore: 0 0 0 0 0 61 13 30 0 0 0 0 0 0 ............. 9% ............................... ( 18.856) avgscore: 82 82 81 84 92 88 82 79 77 58 55 73 58 79 ............. 82% ............................... ( 74.496) median: 89 92 86 92 100 92 100 84 92 76 58 84 78 100 ............. 87% ............................... ( 79.720) hiscore: 100 100 100 100 100 100 100 100 100 100 100 100 100 100 ............. 111% ............................... (112.751) mode: 100 92 100 92 100 100 100 100 100 96 100 100 0 100 range: 100 100 100 100 100 39 87 70 100 100 100 100 100 100 =============================================================================================================================================== # passed: 16 17 17 18 18 19 14 16 16 11 10 15 11 15 ............. 17 ............................... 17 ( 89%) # of As: 9 7 7 7 16 7 11 8 7 7 4 8 4 14 ............. 6 ............................... 6 ( 33%) # of Bs: 6 7 8 8 2 9 3 3 7 3 1 3 6 1 ............. 7 ............................... 6 ( 33%) # of Cs: 0 3 1 2 0 1 0 5 2 0 4 2 1 0 ............. 4 ............................... 3 ( 14%) # of Ds: 1 0 1 1 0 2 0 0 0 1 1 2 0 0 ............. 0 ............................... 2 ( 10%) # of Fs: 3 2 2 1 1 0 5 3 3 8 9 4 8 4 ............. 2 ............................... 2 ( 10%) # submit: 20 20 18 18 18 19 21 19 17 15 18 18 14 15 # early: 2 9 8 9 1 10 7 4 6 1 2 12 1 6 # onday: 16 8 10 9 18 9 8 12 11 13 14 6 10 10 # late: 2 2 1 1 1 1 1 3 1 2 1 1 3 1 # missing: 2 2 2 2 2 1 5 1 3 4 2 1 5 3 % passed: 84% 89% 89% 94% 94% 100% 73% 84% 84% 57% 52% 78% 57% 78% % of As: 47% 36% 36% 36% 84% 36% 57% 42% 36% 36% 21% 42% 21% 73% % of Bs: 31% 36% 42% 42% 10% 47% 15% 15% 36% 15% 5% 15% 31% 5% % of Cs: 0% 15% 5% 10% 0% 5% 0% 26% 10% 0% 21% 10% 5% 0% % of Ds: 5% 0% 5% 5% 0% 10% 0% 0% 0% 5% 5% 10% 0% 0% % of Fs: 15% 10% 10% 5% 5% 0% 26% 15% 15% 42% 47% 21% 42% 21% % submit: 105% 105% 94% 94% 94% 100% 110% 100% 89% 78% 94% 94% 73% 78% % early: 10% 47% 42% 47% 5% 52% 36% 21% 31% 5% 10% 63% 5% 31% % onday: 84% 42% 52% 47% 94% 47% 42% 63% 57% 68% 73% 31% 52% 52% % late: 10% 10% 5% 5% 5% 5% 5% 15% 5% 10% 5% 5% 15% 5% % missing: 10% 10% 10% 10% 10% 5% 26% 5% 15% 21% 10% 5% 26% 15% ===============================================================================================================================================
rank | user | inclass | outclass | total | program |
---|---|---|---|---|---|
1 | 10668 | 22187 | 32855 | CSCI | |
2 | 11705 | 68136 | 79841 | OTHR | |
3 | 7740 | 25354 | 33094 | OTHR | |
4 | 10106 | 19450 | 29556 | CSCI | |
5 | 8454 | 26355 | 34809 | CYBR | |
6 | 11333 | 16707 | 28040 | CSCI | |
7 | 9836 | 14954 | 24790 | CYBR | |
8 | 10964 | 29059 | 40023 | CSCI | |
9 | 9055 | 17957 | 27012 | CSCI | |
10 | 8620 | 14424 | 23044 | INFT | |
11 | 10575 | 9416 | 19991 | CYBR | |
12 | 8553 | 30739 | 39292 | CSCI | |
13 | 5818 | 5183 | 11001 | CYBR | |
14 | 7386 | 8990 | 16376 | CYBR | |
15 | 7014 | 10033 | 17047 | CSCI | |
16 | 10214 | 14789 | 25003 | CSCI | |
17 | 6095 | 16852 | 22947 | CSCI | |
18 | 3529 | 5079 | 8608 | INFT | |
19 | 3347 | 4415 | 7762 | CYBR | |
rank | user | inclass | outclass | total | program |
rank | user | inclass | outclass | total | program |
---|---|---|---|---|---|
1 | 10106 | 19450 | 29556 | CSCI | |
2 | 7740 | 25354 | 33094 | OTHR | |
3 | 10668 | 22187 | 32855 | CSCI | |
4 | 11705 | 68136 | 79841 | OTHR | |
5 | 11401 | 16999 | 28400 | CSCI | |
6 | 8454 | 26355 | 34809 | CYBR | |
7 | 9836 | 14954 | 24790 | CYBR | |
8 | 8553 | 30739 | 39292 | CSCI | |
9 | 10711 | 9736 | 20447 | CYBR | |
10 | 8620 | 14424 | 23044 | INFT | |
11 | 9055 | 17957 | 27012 | CSCI | |
12 | 10964 | 29059 | 40023 | CSCI | |
13 | 6095 | 16852 | 22947 | CSCI | |
14 | 7014 | 10033 | 17047 | CSCI | |
15 | 10214 | 14789 | 25003 | CSCI | |
16 | 5818 | 5183 | 11001 | CYBR | |
17 | 7386 | 8990 | 16376 | CYBR | |
18 | 3529 | 5079 | 8608 | INFT | |
19 | 3347 | 4415 | 7762 | CYBR | |
rank | user | inclass | outclass | total | program |
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).