# source dataset

which they have the common column `Member ID`.

  - `workbook_salesrecord.xlsm`
    - the spending of members
  - `workbook_memberInformation.xlsm`
    - salaries
    - marital status
    - birthdays in the month

# generated

  - `workbook_sales_report.xlsm` sales report workbook
    - i `weekly_sales_report.xlsm`
      - from the `workbook_salesrecord`
      - reporting the __weekly unit sales__ of different region.
        - It show the number of products sold by different regions. (Pic.3)
        - It also generate the `pie chart` to visible the data. (Pic.4)
      - __weekly profit report__ for different product.
        - It shows the total number of products sold at that week. (Pic.5)
      - Also, the __frequency table__ of type of product will be calculated and shown. (Pic. 6)
        - unit sales of product chart
        - unit sales chart
        - profit of product type chart (Pic.7)

    - ii `monthly_sales_report.xlsm`
      - from the `workbook_salesrecord`
      - `first report`
        - fields
          - product
          - quantity sales
          - Revenue
          - Cost
          - profit margin for different region
          - the total profit
          - the summary statistic of the profit
      - product analysis
        - calculating and profit margin of each product
        - `Margin` is calculated by `( Profit / Revenue )`

  - `workbook_membership_and_discount.xlsm`
    - Membership and Discount workbook
    - fields:
      - Member ID
      - total amount spending
      - birthday discount received
      - valentine's day discount received
      - membership elvel
      - amount spended
      - discount received

      > For example, the `NT002` is having total spending of `240` which is extract for
`workbook_salesrecord` in February.
He had birthday in February and married. The valentine’s Day discount is depended on Marital status.
He spent $20 at the 13-Feb.
He can received discount of ( 20 - 20 * 0.92 * 0.88 * 0.95 )= 4.6176 in March.
