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Step 1: Plot total sales data as time series
Step 1: Plot total sales data as time series
library(lubridate)data = read.csv("C:/Users/CQ10/Downloads/BI__PCQ_Forecast_ARIMA_2017_1129.csv")data = ts(data, start = decimal_date(as.Date("2016-09-01")), frequency = 365)plot(data, xlab='Years', ylab = 'total sales')
Step 2: Difference data to make data stationary on mean (remove trend)
Step 2: Difference data to make data stationary on mean (remove trend)
plot(diff(data),ylab='Differenced Total Sales')
Compare with log data
plot(log10(data),ylab='Log (total order)')
plot(diff(log10(data)),ylab='Differenced Log (total Sales)')
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