# Introduction

  The datasets provided here are simulated to mimic the type
  of data that a manufacurer or retailer might actually use. These simulated datasets allow
  the scripts to be run to replicate a real world process. A data
  scientist can replace these simulated datasets with their own data of
  the same form to initiate their forecasting.
	
# List of data sets

|  Data Set Name | Link to the Full Data Set   | Full Data Set Size (KB)  | Link to Report |
| ---:| ---: | ---: | ---: |
| productQuantity.csv | [link](https://github.com/Microsoft/acceleratoRs/blob/master/ProductDemandForecast/Data/productQuantity.csv) | 4 | N/A|
| productCategory.csv | [link](https://github.com/Microsoft/acceleratoRs/blob/master/ProductDemandForecast/Data/productCategory.csv) | 1 | N/A|


# Description of the simulated data sets

* The simulated product quantity dataset contains quarterly 
  booking quantity for 8 products from the year of 1998 to the year of 2011.

* The simulated product category dataset contains two variables, product and category, 
  showing which category the product belongs to.