i need some help with the solution of a problem. The task refers to : Walmart daily sales in three US states (CA, TX and WI) for the period 01-02-2011 to 31-12-2014 (1,430 comments).
I'm trying to come through these questions : i)Visualize the four daily sales timelines in a common chart. Based on the diagram, list the key quality characteristics of time series that they display.
ii) Evaluate the linear correlations of time series and indicate whether they are significant or not.
iii) Calculate the average sales share of the three states on the company's total sales. Also, calculate the same average percentages for each year, month of the year and day of the week. Are there differences in them, and if so, what conclusions can be drawn?
Here is the data in Excel :https://drive.google.com/drive/u/1/folders/1gF2h6jt16kYziGMXgQ_tgfe3iZ4YhZKy
For the first thing I write :
#from Feb 2011 to Dec 2014 as a time series object
myts <- ts(WalData, start=c(2011, 2), end=c(2014, 12), frequency=12)
myts
but it is ofcourse FALSE, i need time series for CA , TX, WI and Total and then i must combine them !
Please help i cant find how to make these timeseries for my variables ! Thanks in advance !