======Data Structures Fall 2018 Status====== 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. =====Numeric Stats on Deliverables===== ================================================================================================= DATA dsi0 ael0 sln0 sln1 sll0 sll1 got+bns/totl tlly prjct+prtcp+jrnal=results ( grade ) ================================================================================================= lowscore: 69 66 0 50 0 0 ............. 12% ......................... ( 47.091) avgscore: 91 93 88 88 84 74 ............. 89% ......................... ( 49.801) median: 100 100 100 92 94 97 ............. 98% ......................... ( 97.703) hiscore: 100 100 100 100 100 100 ............. 107% ......................... (106.229) mode: 100 100 100 95 98 100 range: 31 34 100 50 100 100 ================================================================================================= # passed: 11 11 10 10 10 8 ............. 10 ......................... 10 ( 90%) # of As: 7 9 9 5 6 7 ............. 8 ......................... 7 ( 63%) # of Bs: 2 1 0 5 3 1 ............. 1 ......................... 2 ( 18%) # of Cs: 2 1 1 0 1 0 ............. 1 ......................... 1 ( 9%) # of Ds: 0 0 0 0 0 0 ............. 0 ......................... 0 ( 0%) # of Fs: 0 0 1 1 1 3 ............. 1 ......................... 1 ( 9%) # submit: 15 16 13 16 10 11 # early: 11 4 2 7 4 5 # onday: 8 12 12 7 6 5 # late: 1 2 1 1 1 1 # missing: 1 1 4 1 5 4 % passed: 100% 100% 90% 90% 90% 72% % of As: 63% 81% 81% 45% 54% 63% % of Bs: 18% 9% 0% 45% 27% 9% % of Cs: 18% 9% 9% 0% 9% 0% % of Ds: 0% 0% 0% 0% 0% 0% % of Fs: 0% 0% 9% 9% 9% 27% % submit: 136% 145% 118% 145% 90% 100% % early: 100% 36% 18% 63% 36% 45% % onday: 72% 109% 109% 63% 54% 45% % late: 9% 18% 9% 9% 9% 9% % missing: 9% 9% 36% 9% 45% 36% ================================================================================================= =====Class Project Progress===== Of the various all-class metrics we can analyze: * low score * average score * median score * high score * submission rate * late/missing rate 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). ====Project Metrics==== {{ https://lab46.g7n.org/~wedge/content/images/fall2018.data.attr.png |Project Metrics graph}} ====Class Ranking==== {{ https://lab46.g7n.org/~wedge/content/images/fall2018.data.rank.png |Project Ranking graph}}