Question: find the data Date Order_Demand 9/4/2012 100 8/29/2012 200 10/1/2012 200 10/2/2012 200 10/1/2012 200 2/8/2013 200 7/9/2013 500 12/13/2013 500 10/15/2013 200 6/3/2013
find the data "
| Date | Order_Demand |
| 9/4/2012 | 100 |
| 8/29/2012 | 200 |
| 10/1/2012 | 200 |
| 10/2/2012 | 200 |
| 10/1/2012 | 200 |
| 2/8/2013 | 200 |
| 7/9/2013 | 500 |
| 12/13/2013 | 500 |
| 10/15/2013 | 200 |
| 6/3/2013 | 200 |
| 11/18/2013 | 200 |
| 3/27/2013 | 100 |
| 9/18/2013 | 100 |
| 11/25/2014 | 400 |
| 11/25/2014 | 100 |
| 1/9/2014 | 200 |
| 4/4/2014 | 200 |
| 7/15/2014 | 200 |
| 9/3/2014 | 100 |
| 1/29/2014 | 200 |
| 6/5/2015 | 100 |
| 6/5/2015 | 200 |
| 9/16/2015 | 500 |
| 6/2/2015 | 200 |
| 4/24/2015 | 200 |
| 12/15/2015 | 100 |
| 1/28/2015 | 100 |
| 3/10/2016 | 200 |
| 10/14/2016 | 300 |
| 11/4/2016 | 300 |
| 7/29/2016 | 200 |
| 3/8/2016 | 200 |
| 7/27/2016 | 200 |
| 11/28/2016 | 200 |
| 2/15/2016 | 100 |
| 6/2/2016 | 200 |
Need to summarize the demand data from 2012 to 2016 in a monthly time span, analyze the demand pattern, make forecasts for the same time span, and compare the forecast models to find out the appropriate one.
Q1. ***Application of forecasting methods (namely, moving average, exponential smoothing, linear trend and Holt's method)
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