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 abc0 pct2 dac0 pct4 tpb0 tpb1 gfo0 pct6 skbD got+bns/totl tlly prjct+prtcp+jrnal=results ( grade ) ================================================================================================================ lowscore: 0 0 0 0 0 0 0 0 0 ............. 999999% ......................... ( 999999) avgscore: 56 40 33 73 20 32 20 40 20 median: 53 0 0 100 0 23 0 0 0 hiscore: 100 100 100 100 100 100 100 100 100 ............. 0% ......................... ( 0) mode: 53 0 0 100 0 0 0 0 0 range: 100 100 100 100 100 100 100 100 100 ================================================================================================================ # passed: 2 2 2 4 1 1 1 2 1 ............. 1 ......................... 1 ( 20%) # of As: 1 2 1 3 1 1 1 2 1 ............. 1 ......................... 1 ( 20%) # of Bs: 1 0 0 0 0 0 0 0 0 ............. 0 ......................... 0 ( 0%) # of Cs: 0 0 1 1 0 0 0 0 0 ............. 0 ......................... 0 ( 0%) # of Ds: 0 0 0 0 0 0 0 0 0 ............. 0 ......................... 0 ( 0%) # of Fs: 3 3 3 1 4 4 4 3 4 ............. 4 ......................... 4 ( 80%) # submit: 4 2 2 3 1 2 1 2 1 # early: 2 1 1 1 1 1 1 1 1 # onday: 2 1 1 2 1 2 1 1 1 # late: 1 1 1 1 1 1 1 1 1 # missing: 1 2 2 1 3 2 4 3 4 % passed: 40% 40% 40% 80% 20% 20% 20% 40% 20% % of As: 20% 40% 20% 60% 20% 20% 20% 40% 20% % of Bs: 20% 0% 0% 0% 0% 0% 0% 0% 0% % of Cs: 0% 0% 20% 20% 0% 0% 0% 0% 0% % of Ds: 0% 0% 0% 0% 0% 0% 0% 0% 0% % of Fs: 60% 60% 60% 20% 80% 80% 80% 60% 80% % submit: 80% 40% 40% 60% 20% 40% 20% 40% 20% % early: 40% 20% 20% 20% 20% 20% 20% 20% 20% % onday: 40% 20% 20% 40% 20% 40% 20% 20% 20% % late: 20% 20% 20% 20% 20% 20% 20% 20% 20% % missing: 20% 40% 40% 20% 60% 40% 80% 60% 80% ================================================================================================================
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).