======Data Structures Fall 2017 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: 43 0 100 0 0 0 ............. 22% ......................... ( 60.060) avgscore: 90 69 100 66 76 65 ............. 83% ......................... ( 64.736) median: 100 84 100 83 88 87 ............. 87% ......................... ( 82.403) hiscore: 100 100 100 100 100 100 ............. 142% ......................... (129.866) mode: 100 100 100 96 100 88 range: 57 100 0 100 100 100 ================================================================================================= # passed: 14 10 15 11 12 10 ............. 11 ......................... 15 (100%) # of As: 9 7 15 7 6 4 ............. 5 ......................... 5 ( 33%) # of Bs: 4 1 0 2 6 4 ............. 3 ......................... 3 ( 20%) # of Cs: 1 2 0 1 0 2 ............. 2 ......................... 5 ( 33%) # of Ds: 0 0 0 1 0 0 ............. 1 ......................... 2 ( 13%) # of Fs: 1 5 0 4 3 5 ............. 4 ......................... 0 ( 0%) # submit: 21 15 17 13 16 13 # early: 16 6 6 6 5 2 # onday: 4 5 8 6 9 7 # late: 1 4 3 1 2 4 # missing: 1 6 3 6 3 5 % passed: 93% 66% 100% 73% 80% 66% % of As: 60% 46% 100% 46% 40% 26% % of Bs: 26% 6% 0% 13% 40% 26% % of Cs: 6% 13% 0% 6% 0% 13% % of Ds: 0% 0% 0% 6% 0% 0% % of Fs: 6% 33% 0% 26% 20% 33% % submit: 140% 100% 113% 86% 106% 86% % early: 106% 40% 40% 40% 33% 13% % onday: 26% 33% 53% 40% 60% 46% % late: 6% 26% 20% 6% 13% 26% % missing: 6% 40% 20% 40% 20% 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/fall2017.data.attr.png |Project Metrics graph}} ====Class Ranking==== {{ https://lab46.g7n.org/~wedge/content/images/fall2017.data.rank.png |Project Ranking graph}}