Project I

1>You have data sets of 12 months for 5 years. Means we have 60 data-sets in a library. Common variables(sale_date sale_amount   customer_id product_id (five products),quantity).(create data sets for every month having 10 obs).

2> We have to save the printed output of all the data-sets in a html sheets.

3>The log information should be saved in a separate text file.

4>Now calculate the average sales of each month and average sales year wise.

6>Calculate the sum of sales for entire 5 years.

7>Create the month wise sales and save in another data-set.

8>Predict the sales  for the coming first quarter for every product.

9>Use macros to solve this scenario.

10>Benchmark the technique and show the report why your technique is efficient(In terms of resource utilization i.e programmers time, CPU utilization, Network Bandwidth, memory uses , I/O, Disk Space).

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