Consumer Price Index as of 10-2020

 

R codes 

library(Quandl)

library(ggplot2)

library(tseries);library(timeseries);library(xts);library(forecast)

library (quantmod)

library(psych)

library(plotly) #install.package(plotly)

#Food and Beverages (CPIFABSL)

#Housing (CPIHOSNS)

#Apparel (CPIAPPSL)

#Transportation (CPITRNSL)

#Medical Care (CPIMEDSL)

#Recreation (CPIRECSL)

#Education and Communication (CPIEDUSL)

# Other Goods and Services (CPIOGSSL)

#Commodities (CUSR0000SAC)

# Services (CUSR0000SAS)

start <- as.Date("1990-01-01")

getSymbols(c('CPIFABSL','CPIHOSNS','CPIAPPSL','CPITRNSL','CPIMEDSL','CPIRECSL',

             

             'CPIEDUSL','CPIOGSSL','CUSR0000SAC','CUSR0000SAS',"CPIAUCSL","CPILFESL"), from=start, src='FRED')

CPI<-merge (CPIFABSL,CPIHOSNS,CPIAPPSL,CPITRNSL,CPIMEDSL,CPIRECSL,

             

           CPIEDUSL,CPIOGSSL,CUSR0000SAC,CUSR0000SAS,CPIAUCSL,CPILFESL)

Diff_CPI <- (CPI/lag(CPI)-1)*100  

Diff_CPI[1,] <- 0

Diff_CPIAUCSL=Delt(CPIAUCSL,k=12)*100

Diff_CPIFESL=Delt(CPILFESL,k=12)*100

Diff_CPIFABSL=Delt(CPI$CPIFABSL,k=12)*100

Diff_CPIHOSNS=Delt(CPI$CPIHOSNS,k=12)*100

Diff_CPIAPPSL=Delt(CPI$CPIAPPSL,k=12)*100

Diff_CPITRNSL=Delt(CPI$CPITRNSL,k=12)*100

Diff_CPIMEDSL=Delt(CPI$CPIMEDSL,k=12)*100

Diff_CPIRECSL=Delt(CPI$CPIRECSL,k=12)*100

Diff_CPIEDUSL=Delt(CPI$CPIEDUSL,k=12)*100

Diff_CPIOGSSL=Delt(CPI$CPIOGSSL,k=12)*100

Diff_CUSR0000SAC=Delt(CPI$CUSR0000SAC,k=12)*100

Diff_CUSR0000SAS=Delt(CPI$CUSR0000SAS,k=12)*100

Diff_12<-merge(Diff_CPIFABSL, Diff_CPIHOSNS, Diff_CPIAPPSL, Diff_CPITRNSL, 

               Diff_CPIMEDSL, Diff_CPIRECSL, Diff_CPIEDUSL, Diff_CPIOGSSL,

               Diff_CUSR0000SAC, Diff_CUSR0000SAS)

Diff_12=window(Diff_12,start=as.Date("2001-01-01"), end=as.Date("2020-12-31"))

cor.distance <- cor(Diff_12)

corrplot::corrplot(cor.distance)

plot(Diff_CPIAPPSL)

plot(Diff_12)

plot(Diff_CPIAUCSL, main='Changes from previous year -CPI for All',las=2, subset='2000-01-01/')

plot(Diff_CPIFESL, main='Changes from previous year - Core CPI',las=2,subset='2000-01-01/')

plot(Diff_CPIFABSL, main='Changes from previous year -Food and Beverage',las=2, subset='2000-01-01/')

plot(Diff_CPIHOSNS, main='Changes from previous year -Housing',las=2,subset='2000-01-01/')

plot(Diff_CPIAPPSL, main='Changes from previous year -APPAREL', las=2,subset='2000-01-01/')

plot(Diff_CPITRNSL, main='Changes from previous year -Transportation',las=2,subset='2000-01-01/')

plot(Diff_CPIMEDSL, main='Changes from previous year -Medical Care',las=2,subset='2000-01-01/')

plot(Diff_CPIRECSL, main='Changes from previous year -Recreation',las=2,subset='2000-01-01/')

plot(Diff_CPIEDUSL, main='Changes from previous year -Education and Communication',las=2,subset='2000-01-01/')

plot(Diff_CPIOGSSL, main='Changes from previous year -Other Goods and Services',las=2,subset='2000-01-01/')

plot(Diff_CUSR0000SAC, main='Changes from previous year -Commodities',las=2,subset='2000-01-01/')

plot(Diff_CUSR0000SAS, main='Changes from previous year -Services',las=2,subset='2000-01-01/')

plot(Diff_CPIFABSL)

hist(Diff_CPIFABSL,col='blue')

CPI_2020=window(Diff_CPI,start=as.Date("2020-01-01"), end=as.Date("2020-12-31"))

tail(CPI_2018)

CPI_2020

barplot(CPI_2020$CPIFABSL,las=2)