======Data Structures Fall 2022 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 ael0 ntr0 pct2 sln0 sln1 pct4 sll0 gfo0 sll1 pct6 sll2 pct8 sll3 sll4 dll0 dln0 gfo1 pctA dll1 dll2 dls0 pctC dlq0 gfo2 got+bns/totl tlly prjct+prtcp+jrnal=results ( grade ) =========================================================================================================================================================================================== lowscore: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 ............. 1% ......................... ( 3.814) avgscore: 68 87 73 87 74 83 62 75 59 75 58 64 66 62 52 63 75 57 47 60 68 45 75 66 ............. 75% ......................... ( 44.803) median: 90 100 100 100 87 100 78 100 79 100 79 100 100 96 69 100 100 80 62 79 84 25 100 100 ............. 96% ......................... ( 94.721) hiscore: 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 ............. 111% ......................... (107.692) mode: 100 100 100 100 100 100 100 100 0 100 0 100 100 100 0 100 100 100 0 0 0 0 100 100 range: 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 =========================================================================================================================================================================================== # passed: 8 11 9 10 9 10 8 9 8 9 8 8 8 8 7 8 9 7 7 8 9 5 9 8 ............. 8 ......................... 8 ( 66%) # of As: 5 9 7 10 4 10 5 9 4 9 3 7 7 7 3 7 9 6 3 5 5 5 9 8 ............. 6 ......................... 7 ( 58%) # of Bs: 3 1 2 0 5 0 1 0 2 0 3 0 1 0 2 0 0 0 0 2 3 0 0 0 ............. 2 ......................... 1 ( 8%) # of Cs: 0 0 0 0 0 0 2 0 2 0 2 1 0 0 2 0 0 1 3 1 1 0 0 0 ............. 0 ......................... 0 ( 0%) # of Ds: 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0 0 0 ............. 0 ......................... 0 ( 0%) # of Fs: 4 1 3 2 3 2 4 3 4 3 4 4 4 4 5 4 3 5 5 4 3 7 3 4 ............. 4 ......................... 4 ( 33%) # submit: 9 11 10 10 11 10 8 9 7 10 7 8 9 8 9 9 9 8 7 8 9 7 9 8 # early: 5 10 9 4 5 10 2 5 3 9 3 6 8 5 3 8 6 5 5 8 5 4 9 8 # onday: 4 1 1 6 6 1 6 4 4 1 4 2 1 3 6 1 3 3 2 1 4 3 1 1 # late: 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 # missing: 3 1 2 1 1 2 3 3 4 2 3 3 3 3 3 3 3 3 5 4 3 5 3 4 % passed: 66% 91% 75% 83% 75% 83% 66% 75% 66% 75% 66% 66% 66% 66% 58% 66% 75% 58% 58% 66% 75% 41% 75% 66% % of As: 41% 75% 58% 83% 33% 83% 41% 75% 33% 75% 25% 58% 58% 58% 25% 58% 75% 50% 25% 41% 41% 41% 75% 66% % of Bs: 25% 8% 16% 0% 41% 0% 8% 0% 16% 0% 25% 0% 8% 0% 16% 0% 0% 0% 0% 16% 25% 0% 0% 0% % of Cs: 0% 0% 0% 0% 0% 0% 16% 0% 16% 0% 16% 8% 0% 0% 16% 0% 0% 8% 25% 8% 8% 0% 0% 0% % of Ds: 0% 8% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 8% 0% 8% 0% 0% 8% 0% 0% 0% 0% 0% % of Fs: 33% 8% 25% 16% 25% 16% 33% 25% 33% 25% 33% 33% 33% 33% 41% 33% 25% 41% 41% 33% 25% 58% 25% 33% % submit: 75% 91% 83% 83% 91% 83% 66% 75% 58% 83% 58% 66% 75% 66% 75% 75% 75% 66% 58% 66% 75% 58% 75% 66% % early: 41% 83% 75% 33% 41% 83% 16% 41% 25% 75% 25% 50% 66% 41% 25% 66% 50% 41% 41% 66% 41% 33% 75% 66% % onday: 33% 8% 8% 50% 50% 8% 50% 33% 33% 8% 33% 16% 8% 25% 50% 8% 25% 25% 16% 8% 33% 25% 8% 8% % late: 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 16% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% 8% % missing: 25% 8% 16% 8% 8% 16% 25% 25% 33% 16% 25% 25% 25% 25% 25% 25% 25% 25% 41% 33% 25% 41% 25% 33% =========================================================================================================================================================================================== =====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/fall2022.data.attr.png |Project Metrics graph}} ====Class Ranking==== {{ https://lab46.g7n.org/~wedge/content/images/fall2022.data.rank.png |Project Ranking graph}}