文件列表:

climate-logistic-regression/ (0, 2022-10-30)
climate-logistic-regression/climate_logistic_regression.R (18975, 2022-10-30)
climate-logistic-regression/climate_logistic_regression.pdf (898834, 2022-10-30)
climate-logistic-regression/overleaf-project/ (0, 2022-10-30)
climate-logistic-regression/overleaf-project/0-Master.tex (675, 2022-10-30)
climate-logistic-regression/overleaf-project/1-Intro.tex (7182, 2022-10-30)
climate-logistic-regression/overleaf-project/2-Methods.tex (12480, 2022-10-30)
climate-logistic-regression/overleaf-project/3-Results.tex (5584, 2022-10-30)
climate-logistic-regression/overleaf-project/boxplot_age_anth.png (45841, 2022-10-30)
climate-logistic-regression/overleaf-project/boxplot_books_anth.png (58687, 2022-10-30)
climate-logistic-regression/overleaf-project/boxplot_logbooks_anth.png (54657, 2022-10-30)
climate-logistic-regression/overleaf-project/histplot_propcorrect1.png (57625, 2022-10-30)
climate-logistic-regression/overleaf-project/histplot_propcorrect2.png (55027, 2022-10-30)
climate-logistic-regression/overleaf-project/histplot_propcorrect3.png (56573, 2022-10-30)
climate-logistic-regression/overleaf-project/intxplot_age_ghosts.png (75257, 2022-10-30)
climate-logistic-regression/overleaf-project/intxplot_age_male.png (72937, 2022-10-30)
climate-logistic-regression/overleaf-project/intxplot_age_transformers.png (77595, 2022-10-30)
climate-logistic-regression/overleaf-project/intxplot_logbooks_married.png (70741, 2022-10-30)
climate-logistic-regression/overleaf-project/linplot_age.png (62869, 2022-10-30)
climate-logistic-regression/overleaf-project/linplot_logbooks.png (63035, 2022-10-30)
climate-logistic-regression/overleaf-project/oddsratios_1.png (134711, 2022-10-30)
climate-logistic-regression/overleaf-project/oddsratios_2.png (79506, 2022-10-30)
climate-logistic-regression/overleaf-project/oddsratios_3.png (89225, 2022-10-30)
climate-logistic-regression/overleaf-project/predictions.png (89692, 2022-10-30)
graph-theory-max-cut/ (0, 2022-10-30)
graph-theory-max-cut/graph-theory-max-cut.pdf (2310032, 2022-10-30)
graph-theory-max-cut/overleaf-project/ (0, 2022-10-30)
graph-theory-max-cut/overleaf-project/0-Main.tex (2329, 2022-10-30)
graph-theory-max-cut/overleaf-project/1-Max-Cut.tex (8245, 2022-10-30)
graph-theory-max-cut/overleaf-project/2-Hadlock-proof.tex (7630, 2022-10-30)
graph-theory-max-cut/overleaf-project/3-GW-algorithm.tex (2224, 2022-10-30)
graph-theory-max-cut/overleaf-project/4-Discussion.tex (1819, 2022-10-30)
graph-theory-max-cut/overleaf-project/four_vertex.png (175723, 2022-10-30)
graph-theory-max-cut/overleaf-project/four_vertex_cut.png (164602, 2022-10-30)
graph-theory-max-cut/overleaf-project/four_vertex_weighted.png (188113, 2022-10-30)
graph-theory-max-cut/overleaf-project/four_vertex_weighted_cut.png (175083, 2022-10-30)
graph-theory-max-cut/overleaf-project/geom_dual.png (532163, 2022-10-30)
graph-theory-max-cut/overleaf-project/geom_dual_cut.png (480528, 2022-10-30)
... ...

# My Work Samples ## Programming - When the Kenyon College Writing Center moved online due to COVID, I created an automated sign-up and logging system for remote appointments. After the school returned to in-person learning, I added functionality for in-person appointments as well. - Designed a spreadsheet with two displays: an interactive calendar where students could sign up for appointments, and a log of information about previous appointments - Automated the process of logging appointments, emailing relevant parties, cancelling appointments, and substituting consultants for specific shifts using Google's [Apps Script API](https://github.com/Evan-Wagner/work-samples/blob/main/writing-center-log-API/writing-center-log-API.js) ## Statistics - I applied logistic regression techniques to a 2017 live-caller opinion survey to explore belief in human-caused climate change among U.S. adults. - Built models and produced figures with an [R script](https://github.com/Evan-Wagner/work-samples/tree/main/climate-logistic-regression/climate_logistic_regression.R) - Wrote the paper in [Overleaf](https://github.com/Evan-Wagner/work-samples/tree/main/climate-logistic-regression/overleaf-project) - Compiled the paper to a [PDF](https://github.com/Evan-Wagner/work-samples/tree/main/climate-logistic-regression/climate_logistic_regression.pdf) - Using a dataset of all documented fatal police encounters from the year 2015, I compared nonparametric (distribution-free) statistical methods to their more common normality-assuming counterparts. - Analyzed data and produced figures with an [R script](https://github.com/Evan-Wagner/work-samples/tree/main/police-killings-nonparametric/police_killings_nonparametric.R) - Wrote the paper in [Overleaf](https://github.com/Evan-Wagner/work-samples/tree/main/police-killings-nonparametric/overleaf-project) - Compiled the paper to a [PDF](https://github.com/Evan-Wagner/work-samples/tree/main/police-killings-nonparametric/police_killings_nonparametric.pdf) ## Applied Linear Algebra - I wrote my capstone paper for Kenyon College's Mathematics major on the linear algebra underlying waveform filters used in music production. - Produced figures and audio with [MATLAB](https://github.com/Evan-Wagner/work-samples/tree/main/linear-algebra-music-filters/linear_algebra_music_filters.m) - Wrote the paper in [Overleaf](https://github.com/Evan-Wagner/work-samples/tree/main/linear-algebra-music-filters/overleaf-project) - Compiled the paper to a [PDF](https://github.com/Evan-Wagner/work-samples/tree/main/linear-algebra-music-filters/linear_algebra_music_filters.pdf) ## Combinatorics - My final project explored the maximum cut problem, giving Hadlock's P-solution for planar graphs and the Goemans-Williamson NP-approximation for the general problem. - Wrote the paper in [Overleaf](https://github.com/Evan-Wagner/work-samples/tree/main/graph-theory-max-cut/overleaf-project) - Compiled the paper to a [PDF](https://github.com/Evan-Wagner/work-samples/tree/main/graph-theory-max-cut/graph-theory-max-cut.pdf)

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