I am trying to plot time series after importing the data from csv to R.
now, the issue is:
the data needs to be read by Rows and not by columns.
when I am putting, Row header which is a product ID, it is taking the column value.
pasting the same code here.
rm(list = ls()) #set directory setwd("d:\\Users\\AFG") install.packages("reprex") library(plyr) # load required packages library(readr) library(dplyr) library(ggplot2) library(forecast) library(reprex) # import data sales <- read.csv("SalesHistoryTop50SKU-reprex.csv", header = TRUE, blank.lines.skip = TRUE) # reading sales sales # convert our sales data to a time series object sales <- ts(sales$Article_ID, frequency = 9, start = c(2016,1)) class(sales) plot(sales) reprex()
here is the sample data.
tried using reprex, but it is not working, and R studio is restarting everytime.
Goal: I want to read the data row wise. for the 8 weeks, and then forecast next 3 weeks data. for all the Article_ID individually. firstly I want to do it for 1. Then, i will try to use a loop to do it for other articles.