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.
================================================================================== C4ENG pct2 abc0 gtf0 got+bns/totl tlly prjct+prtcp+jrnal=results ( grade ) ================================================================================== lowscore: 0 0 0 ............. 0.0% ......................... ( 15.276) avgscore: 43 63 55 ............. 68% ......................... ( 64.783) median: 0 69 74 ............. 70% ......................... ( 88.460) hiscore: 100 100 100 ............. 125% ......................... (155.128) mode: 0 69 100 range: 100 100 100 ================================================================================== # passed: 7 12 9 ............. 8 ......................... 11 ( 73%) # of As: 5 4 5 ............. 5 ......................... 6 ( 40%) # of Bs: 1 0 0 ............. 2 ......................... 3 ( 20%) # of Cs: 1 8 4 ............. 1 ......................... 0 ( 0%) # of Ds: 0 0 0 ............. 0 ......................... 2 ( 13%) # of Fs: 8 3 6 ............. 7 ......................... 4 ( 26%) # submit: 6 12 8 # early: 5 10 3 # onday: 1 2 5 # late: 1 1 3 # missing: 9 4 5 % passed: 46% 80% 60% % of As: 33% 26% 33% % of Bs: 6% 0% 0% % of Cs: 6% 53% 26% % of Ds: 0% 0% 0% % of Fs: 53% 20% 40% % submit: 40% 80% 53% % early: 33% 66% 20% % onday: 6% 13% 33% % late: 6% 6% 20% % missing: 60% 26% 33% ==================================================================================
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).