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.
============================================================================================================================================================================ CPROG abc0 pct2 gtf0 dtr0 pct4 mmf0 cnv0 gfo0 pct6 cnv1 fwg0 fwg1 pct8 fwg2 fwg3 gfo1 pctA cpp0 cpp1 pctC gfo2 got+bns/totl tlly prjct+prtcp+jrnal=results ( grade ) ============================================================================================================================================================================ lowscore: 30 0 0 0 0 33 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 ............. 6.559% ......................... ( 16.151) avgscore: 59 61 67 50 42 61 66 62 30 30 25 23 50 50 41 50 45 32 34 3 75 ............. 56% ......................... ( 12.008) median: 53 73 84 50 34 56 83 74 11 10 0 11 50 50 33 50 41 27 31 0 100 ............. 96% ......................... ( 68.819) hiscore: 100 100 100 100 100 100 100 100 100 100 100 69 100 100 100 100 100 75 75 15 100 ............. 96% ......................... ( 86.375) mode: 30 100 100 50 0 66 100 100 0 0 0 0 100 100 0 100 0 0 0 0 100 range: 70 100 100 100 100 67 100 100 100 100 100 69 100 100 100 100 100 75 75 15 100 ============================================================================================================================================================================ # passed: 2 2 3 1 2 2 3 2 1 1 1 1 2 2 2 2 2 1 2 0 3 ............. 2 ......................... 3 ( 75%) # of As: 1 2 2 1 1 1 2 2 1 1 1 0 2 2 1 2 1 0 0 0 3 ............. 1 ......................... 0 ( 0%) # of Bs: 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 ............. 0 ......................... 1 ( 25%) # of Cs: 0 0 1 0 1 1 1 0 0 0 0 1 0 0 1 0 0 1 1 0 0 ............. 1 ......................... 2 ( 50%) # of Ds: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 ............. 0 ......................... 0 ( 0%) # of Fs: 2 2 1 3 2 2 1 2 3 3 3 3 2 2 2 2 2 3 2 4 1 ............. 2 ......................... 1 ( 25%) # submit: 4 2 3 3 1 3 3 2 1 1 1 1 2 2 1 2 2 1 2 1 3 # early: 4 2 1 1 1 2 2 1 1 1 1 1 2 2 1 1 1 1 1 1 3 # onday: 1 1 2 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 # late: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 # missing: 1 1 1 1 2 1 1 1 2 2 3 2 2 2 2 2 2 2 2 3 1 % passed: 50% 50% 75% 25% 50% 50% 75% 50% 25% 25% 25% 25% 50% 50% 50% 50% 50% 25% 50% 0% 75% % of As: 25% 50% 50% 25% 25% 25% 50% 50% 25% 25% 25% 0% 50% 50% 25% 50% 25% 0% 0% 0% 75% % of Bs: 25% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 25% 0% 0% 0% 0% % of Cs: 0% 0% 25% 0% 25% 25% 25% 0% 0% 0% 0% 25% 0% 0% 25% 0% 0% 25% 25% 0% 0% % of Ds: 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 25% 0% 0% % of Fs: 50% 50% 25% 75% 50% 50% 25% 50% 75% 75% 75% 75% 50% 50% 50% 50% 50% 75% 50% 100% 25% % submit: 100% 50% 75% 75% 25% 75% 75% 50% 25% 25% 25% 25% 50% 50% 25% 50% 50% 25% 50% 25% 75% % early: 100% 50% 25% 25% 25% 50% 50% 25% 25% 25% 25% 25% 50% 50% 25% 25% 25% 25% 25% 25% 75% % onday: 25% 25% 50% 75% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 50% 25% 25% % late: 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% 25% % missing: 25% 25% 25% 25% 50% 25% 25% 25% 50% 50% 75% 50% 50% 50% 50% 50% 50% 50% 50% 75% 25% ============================================================================================================================================================================
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).