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 pct2 abc0 gtf0 got+bns/totl tlly prjct+prtcp+jrnal=results ( grade ) ================================================================================== lowscore: 0 38 25 ............. 13.999% ......................... ( 22.114) avgscore: 60 70 71 ............. 93% ......................... ( 22.644) median: 100 69 100 ............. 125% ......................... ( 94.443) hiscore: 100 100 100 ............. 125% ......................... (150.000) mode: 100 100 100 range: 100 62 75 ================================================================================== # passed: 3 3 3 ............. 4 ......................... 4 ( 80%) # of As: 3 2 3 ............. 3 ......................... 3 ( 60%) # of Bs: 0 0 0 ............. 0 ......................... 0 ( 0%) # of Cs: 0 1 0 ............. 1 ......................... 0 ( 0%) # of Ds: 0 0 0 ............. 0 ......................... 1 ( 20%) # of Fs: 2 2 2 ............. 1 ......................... 1 ( 20%) # submit: 3 5 3 # early: 3 5 2 # onday: 1 1 1 # late: 1 1 2 # missing: 2 1 1 % passed: 60% 60% 60% % of As: 60% 40% 60% % of Bs: 0% 0% 0% % of Cs: 0% 20% 0% % of Ds: 0% 0% 0% % of Fs: 40% 40% 40% % submit: 60% 100% 60% % early: 60% 100% 40% % onday: 20% 20% 20% % late: 20% 20% 40% % missing: 40% 20% 20% ==================================================================================
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).