Working on updates

Tapestry.r

@@ -2,14 +2,14 @@ library(tidyverse)
 library(readxl)
 
 
-
-GET_MULTIPLIERS <- function(ROOT_FOLDER="States/",YEAR=2024,VERSION='1.5.6'){
-	SUB_FOLDER <- list.files(FOLDER)
+GET_MULTIPLIERS <- function(ROOT_FOLDER="States/",YEAR=2024){
+ROOT_FOLDER="States/";YEAR=2024
+	SUB_FOLDER <- list.files(ROOT_FOLDER)
 	ENTRIES <- (strsplit(SUB_FOLDER,paste0("_",YEAR)) %>% unlist)
 REGIONS <- ENTRIES[seq(1,length(ENTRIES),by=2)]
 ALL_FILES <- list.files(paste0(ROOT_FOLDER,SUB_FOLDER),full.names=TRUE)
 LEONTIEF <- ALL_FILES[grep("leontief",ALL_FILES)]
-for(CURRENT in 1:length(REGIONS)){
+for(CURRENT in 1:length(LEONTIEF)){
 REGION <- REGIONS[CURRENT]	
 FILE <- LEONTIEF[CURRENT]
 TYPE1 <- read_xlsx(FILE,'I-Ainv_type1')
@@ -28,14 +28,59 @@ if(CURRENT==1){RES <- CRES}else{RES <- rbind(RES,CRES)}
 return(RES %>% as_tibble)
 }
 ALL <- GET_MULTIPLIERS() 
-ggplot(ALL,aes(x=Region,y=Total,color=Region))  + geom_boxplot()+theme(legend.position = "none")
-STATE_BIND <- cbind(state.name,state.abb) %>% as.tibble %>%rename(Region=state.name,State=state.abb)
 ALL$Region <- gsub("_"," ",ALL$Region)
-ALL <- 	ALL %>% inner_join(STATE_BIND) 
+STATE_BIND <- cbind(state.name,state.abb) %>% as_tibble %>% rename(Region=state.name,State=state.abb)
+ALL <-  STATE_BIND %>% inner_join(ALL)
 STATE_BIND <- ALL %>% group_by(State) %>% summarize(Total=median(Total)) %>% mutate(Rank=rank(-Total))
 ORD <- STATE_BIND %>% arrange(Rank) %>% pull(State)
 ALL$State <- factor(ALL$State,level=ORD)
 ALL_ORIG <- ALL
 ALL <- ALL %>% filter(Total<5)
-ggplot(ALL,aes(x=State,y=Total,color=State))  + geom_boxplot()+theme(legend.position = "none")
+REST <- ALL %>% filter(State!='WY')
+WY <- ALL %>% filter(State=='WY')
+ggplot(ALL,aes(x=State,y=Total)) + geom_jitter(width = 0.5,size=0.1,aes(color=State)) + geom_boxplot(fill=NA,outlier.shape=NA)+theme(legend.position = "none",aes(color=State) )
++theme_bw()
+##############Import analsysi
+GET_IMPORT <- function(ROOT_FOLDER="States/",YEAR=2024){
+#ROOT_FOLDER="States/";YEAR=2024
+	SUB_FOLDER <- list.files(ROOT_FOLDER)
+	ENTRIES <- (strsplit(SUB_FOLDER,paste0("_",YEAR)) %>% unlist)
+REGIONS <- ENTRIES[seq(1,length(ENTRIES),by=2)]
+ALL_FILES <- list.files(paste0(ROOT_FOLDER,SUB_FOLDER),full.names=TRUE)
+IXC <- ALL_FILES[grep("ixc",ALL_FILES)]
+IXC <- IXC[grep("csv",IXC)]
+for(CURRENT in 1:length(IXC)){
+#	CURRENT=51
+REGION <- REGIONS[CURRENT]	
+FILE <- read_csv(IXC[CURRENT])
+NAMES <- strsplit(t(FILE[1:nrow(FILE),1]),"_") %>% unlist
+	NAICS <- c(NAMES[seq(1,1952,by=2)],NAMES[1953:1966])
+	Industry_Name <-c( NAMES[seq(2,1952,by=2)],NAMES[1953:1966])
+
+
+LIST <- c("ROW","RUSA","FED")
+IMPORT <- FILE %>% select(LIST) %>% as.matrix %>% t %>%rowSums() 
+LOCAL <- FILE %>% select(-c(1,LIST))  %>% as.matrix %>% t %>% rowSums()
+NAICS
+cbind(NAICS,Industry_Name,IMPORT,LOCAL) %>% as_tibble %>% mutate(Import=as.numeric(IMPORT),Local_Purchase=as.numeric(LOCAL),Total=Import+Local_Purchase) %>% select(-IMPORT,-LOCAL) %>% tail
+
+
+
+CRES <- cbind(REGION,IMPORT,LOCAL) 
+if(CURRENT==1){RES <- CRES}else{RES <- rbind(RES,CRES)}
+}
+return(RES %>% as_tibble %>% mutate(IMPORT_PERCENT=as.numeric(IMPORT_PERCENT)))
+}
+IMPORT <- GET_IMPORT()
+IMPORT 
+IMPORT <- IMPORT %>% mutate(IMPORT_PERCENT=as.numeric(IMPORT_PERCENT),RANK=rank(-IMPORT_PERCENT)) %>% arrange(RANK)
+
+IMPORT  %>% print(n=30)
+IXC <-  read_csv("States/Wyoming_2024_SAM_v1.5.6/Wyoming_Update_ixi_502_2024.csv")
+IXC <-  read_csv("States/North_Dakota_2024_SAM_v1.5.6/North_Dakota_ixi_502_2024.csv")
+
+LIST <- c("ROW","RUSA","FED")
+EXPORT <- sum(IXC  %>% select(LIST) )
+LOCAL <- sum(IXC  %>% select(-c(1,LIST)) )
+EXPORT/LOCAL