Publications by Kathryn Vernon, Muneeb Ul Qayyum, Raegan Conklin

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Summary of Data We are going to first read in the data from a github site and display the data. dat<-read.csv("https://raw.githubusercontent.com/tmatis12/datafiles/main/US_Japanese_Cars.csv",fileEncoding="UTF-8-BOM") knitr::kable(dat) USCars JapaneseCars 18 24 15 27 18 27 16 25 17 31 15 35 14 24 14 19 14 28 15 23 15 27 14 20 15 22 ...

1277 sym R (1197 sym/6 pcs) 1 img 1 tbl

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Look up^^ at output to see how to get a clickable table of contents THIS CHUNK PROCESSES THE DATA, ELIMINATES NA master <- read.csv("https://raw.githubusercontent.com/vernonkat/Coursework/main/SKU%20Master.csv",fileEncoding="UTF-8-BOM") typeofgood <- read.csv("https://raw.githubusercontent.com/vernonkat/Coursework/main/SKU%20Usage%20Last%20FY.c...

518 sym R (4061 sym/18 pcs) 8 img

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1 Filter the dataframe to keep only the variables UnitsPerCase, LeadTime, UoMCube, UoMWeight, and ShelfLifeDays #Load in the SkuMaster.csv dataset. data1 <- (read.csv("https://raw.githubusercontent.com/vernonkat/Coursework/main/HW3SKU%20Master.csv",fileEncoding="UTF-8-BOM")) # We would only like to consider those observations for which the C...

2716 sym R (3528 sym/16 pcs) 1 img