The document describes 5 facts (sale, buy, stock, order, transport) and their associated dimensions in a data mining project. Each fact contains transactional data connected to dimensions like product, time, customer, and employee. The dimensions provide additional context about items like products, dates, vehicles, customers, and employees. The document also contains questions for discussion.

1. Data Mining
First Presentation
55062089
55062133
55062225

3. 5 Facts
1. Fact_sale
2. Fact_buy
3. Fact_stock
4. Fact_order
5. Fact_transport

4. Fact_sale
Fact_sale
Dim_employee
Dim_product
Dim_time
Dime_customer

5. Fact_sale
Id_time
Id_product
Id_customer
Id_employee
Price
Quantity
Total_price

6. Fact_buy
Fact_buy
Dim_employee
Dim_product
Dim_time
Dim_customer

7. Fact_buy
Id_time
Id_product
Id_customer
Id_employee
Price
Quantity
Total_price

8. Fact_stock
Fact_stock
Dim_product
Dim_time

9. Fact_stock
Id_time
Id_product
quantity

10. Fact_order
Fact_order
Dim_time
Dim_customer
Dim_product
Dim_employee

11. Fact_order
Id_time
Id_product
Id_customer
Id_employee
Time_order
Time_start
Time_end
Total_time
Quantity
Price
status

12. Fact_transport
Fact_transport
Dim_car
Dim_prduct
Dim_time
Dim_customer

13. Fact_transport
Id_time
Id_product
Id_customer
Id_car
Duration
Time_back
Distance
freight

14. Dimentions
Dim_product
Dim_time
Dim_car
Dim_customer
Dim_employee

15. Dim_product
Id
Name
Type_name
Unit

16. Dim_time
Id
Date
Day
Day_of_week
Day_of_month
Day_of_year
Week_of_year
Month
Month_of_year
Quarter_of_year
Year
hour

17. Dim_car
Id
Plate
Driver_name
Owner
Car_type

18. Dim_customer
Id
Fullname
Strees_address
District
Province
Organization
sex

19. Dim_employee
Id
Fullname
Position

20. Q&A