In this section table objects will be described for Foodmart on its wic wic_sample_foodmart. For more information on how to create this forms you can visit Chinook Basic table objects for a more detailed explanation.

1 Introduction

In here you will find a list and a brief explanation on what each of the table objects do and to what tables they are related to.

Object Tag Title Render Type Type of object Ordered by Tables related Description
department Department DEPARTMENT Form multirow READ / WRITE department Transactional list of departments by id, description and state.
store Stores STORES Form singlerow READ / WRITE store.store_id store Transactional form of stores with employees per store list and a child tab to Warehouse.
warehouse Warehouse WAREHOUSE Form singlerow READ / WRITE warehouse.warehouse_id warehouse, warehouse_class Transactional form of warehouse with a parent tab to Store.
products Products PRODUCTS Form singlerow READ / WRITE product.product_id product, product_class Transactional form of products.
customers Customers CUSTOMERS Form singlerow READ / WRITE customer.customer_id customer, region Transactional form of customers.
employees Employees EMPLOYEES Form singlerow READ / WRITE employee.employee_id employee, position, sotre, department Transactional form of employees with hierarchy view, list of supervised employees and list of other employees.
employee_analytics1 Employee hierarchy EMPLOYEE HIERARCHY Form singlerow READ ONLY employee Hierarchy view of employee.
store_analytics Sales analytics SALES ANALYTICS Form singlerow READ ONLY sales_fact, time_by_day Sales form by date.
sales_analytics2 Sales analytics II SALES ANALYTICS II Form singlerow READ ONLY sales_fact, time_by_day Sales form by month and datetime.
store_analytics1 Stores Dashboard STORES DASHBOARD Form singlerow READ ONLY sales_fact_month_store Stores dashboard with sales form by type of store, city and store department.
store_analytics2 Timeseries Sales TIMESERIES SALES Form singlerow READ ONLY sales_fact_month_store Store sales by timeline.
store_analytics3 States vs Family STORE DISTRICT VS FAMILY Form singlerow READ ONLY sales_fact, store, region, product, product_class, time_by_day States vs product family.
product_analytics1 Products Dashboard PRODUCTS DASHBOARD Form singlerow READ ONLY sales_fact_month_product Product dashboard with sales by year, category and subcategory of product, product family and month, product family and country and by department and city.
units_analytics Analysis by subcategory ANALYSIS BY SUBCATEGORY Form singlerow READ ONLY sales_fact_yearmonth_product, product, product_class Unit sales form by month, year and product subcategory.
customer_analytics1 Dashboard Customer DASHBOARD CUSTOMER Form singlerow READ ONLY sales_fact_month_customer Customer sales form by yearly income and genere, marital status, yearly income, and genere, ocupation and membership card.
customer_calendar Customer birthday calendar CUSTOMER BIRTHDAY CALENDAR Form singlerow READ ONLY customer Customer birthday calendar.

All this atributes are modified in the Objects wic. To learn more about Object definitions check Developement Guide > Views > Objects.

The application menu looks like this. To know how to configure the Panels and the Menus check the section Menus on the Developement Guide documentation.

In the next sections the table objects will be ordered the same way we an find them in the Foodmart application. Each section belongs to a folder and on each folder we can find the following table objects.

2 Foodmart

In this Panel we can find the tables of department, store, customer, product and employee data as well as sales reports and analytics.

2.1 Department

<select>
    <columns>
        <rowid table='department' />,
        department.department_id,
        department.department_description,
        department.state
    </columns>
    <from table='department' />
</select>
department
Label Description
Identifier Department identifier.
Description Department description.
State State (Active-Drop)

  • Default: A
  • Values:
    • A: Active.
    • B: Drop.

2.2 Stores

<select>
    <columns>
        <rowid table='store'/>,
        store.store_id,
        store.store_type,
        store.region_id,    region.sales_region,
        store.store_name,
        store.store_number,
        store.store_street_address,
        store.store_city,
        store.store_state,
        store.store_postal_code,
        store.store_country,
        store.store_manager,
        store.store_phone,
        store.store_fax,
        store.first_opened_date,
        store.last_remodel_date,
        store.store_sqft,
        store.grocery_sqft,
        store.frozen_sqft,
        store.meat_sqft,
        store.coffee_bar,
        store.video_store,
        store.salad_bar,
        store.prepared_food,
        store.florist,
        store.state
    </columns>
    <from table='store' >
        <join table='region'>
            <on>store.region_id = region.region_id</on>
        </join>    
    </from>
</select>
store
Label Description
Identifier Store identifier
Store Type Store type.
Region
Store Name Store name
Number
Address
City
State
Postal code Postal code.
Country
Manager
Phone
Fax
Opend Date Opening date.
Remodel Date Remodeling date
Store Sqft. Store squared feet.
Grocery Sqft. Groceries squared feet
Frozen Sqft. Frozen area squared feet.
Meat Sqft. Meat squared feet.
Coffee Bar Coffee bar (Yes-No)

  • Default: false
  • Values:
    • false: .
    • true: .
Video Videoclub

  • Default: false
  • Values:
    • false: .
    • true: .
Salad Bar Salad bar (Yes-No)

  • Default: false
  • Values:
    • false: .
    • true: .
Prepared Food Prepared food ( Yes-No)

  • Default: false
  • Values:
    • false: .
    • true: .
Florist Florist(Yes-No)

  • Default: false
  • Values:
    • false: .
    • true: .
State State (Active-Drop)

  • Default: A
  • Values:
    • A: Active.
    • B: Drop.

2.2.1 Warehouse

<select>
    <columns>
        <rowid table='warehouse'/>,
        warehouse.warehouse_id,
        warehouse.warehouse_class_id,
        warehouse.stores_id,
        warehouse.warehouse_name,
        warehouse.wa_address1,
        warehouse.wa_address2,
        warehouse.wa_address3,
        warehouse.wa_address4,
        warehouse.warehouse_city,
        warehouse.warehouse_state_province,
        warehouse.warehouse_postal_code,
        warehouse.warehouse_country,
        warehouse.warehouse_owner_name,
        warehouse.warehouse_phone,
        warehouse.warehouse_fax
    </columns>
    <from table='warehouse' />
</select>
warehouse
Label Description
Identifier Warehouse identifier
Class
Store ID Store identifier
Description Warehouse description
Address 1 Address
Address 2 Address
Address 3 Address
Address 4 Address
City
State
Postal code Postal code.
Country
Owner Name Owner's name.
Phone
Fax

2.3 Products

<select>
    <columns>
        <rowid table='product'/>,
        product.product_id,
        product.product_name,
        product.product_class_id, 
        product_class.product_category,
        product.brand_name,
        product.sku,
        product.srp,
        product.gross_weight,
        product.net_weight,
        product.recyclable_package,
        product.low_fat,
        product.units_per_case,
        product.cases_per_pallet,
        product.shelf_width,
        product.shelf_height,
        product.shelf_depth
    </columns>
    <from table='product'>
        <join table='product_class' >
            <on>product.product_class_id = product_class.product_class_id</on>
        </join>
    </from>    
</select>
product
Label Description
Identifier Product identifier.
Product
Class
Brand
SKU stock keeping unit

  • Default: 0
SRP Shelf-ready packaging
Gross Weight Gross weight
Net Weight
Recyclable Package Recyclable Packaging (Yes-No)

  • Default: false
  • Values:
    • false: .
    • true: .
Low Fat Low Fat(Yes-No)

  • Default: false
  • Values:
    • false: .
    • true: .
Units per case
Cases per pallet
Shelf Width
Shelf Height
Shelf Depth

2.4 Customers

<select>
    <columns>
        <rowid table='customer'/>,
        customer.customer_id,
        customer.fullname,
        customer.lname,
        customer.fname,
        customer.account_num,
        customer.mi,
        customer.address1,
        customer.address2,
        customer.address3,
        customer.address4,
        customer.city,
        customer.state_province,
        customer.postal_code,
        customer.country,
        customer.customer_region_id, region.sales_region,
        customer.phone1,
        customer.phone2,
        customer.birthdate,
        customer.marital_status,
        customer.yearly_income,
        customer.gender,
        customer.total_children,
        customer.num_children_at_home,
        customer.date_accnt_opened,
        customer.member_card,
        customer.occupation,
        customer.houseowner,
        customer.num_cars_owned
    </columns>
    <from table='customer'>
        <join table='region' >
            <on>customer.customer_region_id = region.region_id</on>
        </join>
    </from>    
</select>
customer
Label Description
Identifier Customer identifier.
Full Name
Last Name
First Name
Account Num
MI Middle Initial
Address 1 Address
Address 2 Address
Address 3 Address
Address 4 Address
City
State
Postal code Postal code.
Country
Region
Phone 1 Phone
Phone 2 Phone
Birthdate
Marital Status

  • Default: S
  • Values:
    • D: Divorced. Divorced
    • M: Married. Married
    • S: Single. Single
    • W: Widowed. Widowed
Yearly Income
Gender Gender(Female-Male)

  • Default: M
  • Values:
    • F: Female. Female
    • M: Male. Male
Children Number of Children
Children at home Number of Children at home
Account Opening Date
Member Card
Occupation
House owner House owner(Yes-No)

  • Default: Y
  • Values:
    • N: No. No
    • Y: Yes. Yes
Cars

2.5 Employees

2.5.1 Object

<select>
    <columns>
        <rowid table='employee'/>,
        employee.employee_id,
        employee.full_name,
        employee.first_name,
        employee.last_name,
        employee.position_id,   position.position_title,
        employee.store_id,      store.store_name,
        employee.department_id, department.department_description,
        employee.birth_date,
        employee.hire_date,
        employee.end_date,
        employee.salary,
        employee.supervisor_id, employee2.full_name supervisor_name,
        employee.education_level,
        employee.marital_status,
        employee.gender,
        employee.management_role,
        employee.state
    </columns>
    <from table='employee' >
        <join table='position' >
            <on>employee.position_id = position.position_id</on>
        </join>
        <join table='store' >
            <on>employee.store_id = store.store_id</on>
        </join>
        <join table='department' >
            <on>employee.department_id = department.department_id</on>
        </join>
        <join type='left' table='employee' alias='employee2'>
            <on>employee.supervisor_id = employee2.employee_id</on>
        </join>
    </from>
</select>
employee
Label Description
Identifier Employee Identifier
Full Name
First Name
Last c Apellidos
Position
Store ID Store identifier
Department ID Department identifier.
Birth Date
Hire Date
End Date Contract End Date
Salary
Supervisor ID Supervisor identifier
Education Level
Marital status

  • Default: S
  • Values:
    • D: Divorced. Divorced
    • M: Married. Married
    • S: Single. Single
    • W: Widowed. Widowed
Gender

  • Default: M
  • Values:
    • F: Female. Female
    • M: Male. Male
Management Role
Status Status(Active-Inactive)

  • Default: A
  • Values:
    • A: Active.
    • B: Drop.

2.5.2 Graphs

D3 Graph

Type: Hierarchy Tree

XML

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<union>
	<select>
		<columns>
            employee.employee_id    <alias name='id'/>,
            employee.full_name      <alias name='name'/>,
            employee.supervisor_id  <alias name='parent_id'/>
		</columns>
		<from table='employee'/>
		<where>
			employee.employee_id = (SELECT supervisor_id FROM employee WHERE employee_id = ${employee_id})
		</where>
	</select>

	<select>
        <columns>
            employee.employee_id    <alias name='id'/>,
            employee.full_name      <alias name='name'/>,
            employee.supervisor_id  <alias name='parent_id'/>
		</columns>
		<from table='employee'/>
		<where>
			employee.employee_id = ${employee_id}
		</where>
	</select>

	<select>
		<columns>
            employee.employee_id <alias name='id'/>,
            employee.full_name <alias name='name'/>,
            employee.supervisor_id <alias name='parent_id'/>
		</columns>
		<from table='employee'/>
		<where>
			employee.supervisor_id = ${employee_id}
		</where>
		<order>1</order>
	</select>
</union>

2.6 Employees Hierarchy

2.6.1 Object

<select-one>1</select-one>
internal-xsqlselect-unnamed (employee_analytics1)
Label Description

2.6.2 Graphs

D3 Graph

Type: Hierarchy Tree

XML

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<select>
    <columns>
        employee.employee_id <alias name='id'/>, 
        employee.full_name <alias name='name'/>,
        employee.supervisor_id <alias name='parent_id'/>
    </columns>
    <from table="employee"/>
    <order>id</order>
</select>

2.7 Sales Analytics

2.7.1 Object

<select>
    <columns>
        sales_fact.product_id,
        sales_fact.time_id,
        sales_fact.customer_id,
        sales_fact.promotion_id,
        sales_fact.store_id,
        sales_fact.store_sales,
        sales_fact.store_cost,
        sales_fact.unit_sales,
        time_by_day.the_year
    </columns>
    <from table='sales_fact'>
        <join table='time_by_day'>
            <on>sales_fact.time_id = time_by_day.time_id</on>
        </join>
    </from>
    <where>
        time_by_day.the_year = $THE_YEAR
    </where>
</select>
sales_fact (store_analytics)
Label Description
Product ID Product identifier
Time ID Time identifier
Customer ID Customer Identifier
Promotion ID Promotion identifier
Store ID Store identifier
Sales Store sales
Cost Store cost
Unit Sales

2.7.2 Graphs

D3 Graph

Type: Finviz

XML

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<drop table='@tmp1' onexception='ignore' />

<select intotemp='@tmp1'>
    <columns>
        time_by_day.the_date <alias name='the_date' />,
        NVL(SUM(sales_fact.store_sales),0) v_sales_prev
    </columns>
    <from table='sales_fact'>
        <join table='time_by_day'>
            <on>sales_fact.time_id = time_by_day.time_id</on>
        </join>
    </from>
    <group>1</group>
</select>

<select>
    <columns>
        time_by_day.the_date <alias name='date' />,
        SUM(sales_fact.unit_sales) <alias name='value1' />,
        (SUM(sales_fact.store_sales) - SUM(sales_fact.store_cost)) <alias name='value2' />,
        CASE WHEN (SELECT SUM(v_sales_prev) 
                     FROM @tmp1 
                    WHERE the_date + 1 UNITS YEAR = time_by_day.the_date) = 0 
             THEN 0 
             ELSE ROUND(((((SUM(sales_fact.store_sales))/(SELECT SUM(v_sales_prev) 
                                                            FROM @tmp1 
                                                           WHERE the_date + 1 UNITS YEAR = time_by_day.the_date))-1) * 100),2) 
              END <alias name='value3'/>,
        NVL(SUM(sales_fact.store_sales),0) <alias name='value4' />,
        (SELECT SUM(v_sales_prev) 
           FROM @tmp1 
          WHERE the_date + 1 UNITS YEAR = time_by_day.the_date) <alias name='value5' />,
        'Unit sales' <alias name='value1_name'/>,
        'Profit' <alias name='value2_name'/>,
        '% prev.' <alias name='value3_name'/>,
        'Sales' <alias name='value4_name'/>,
        'Sales prev.' <alias name='value5_name'/>
    </columns>
    <from table='sales_fact'>
        <join table='time_by_day'>
            <on>sales_fact.time_id = time_by_day.time_id</on>
        </join>
    </from>
    <where>
        time_by_day.the_year = ${the_year}
    </where>
    <group>1</group>
</select>

2.8 Sales Analytics II

2.8.1 Object

<select>
    <columns>
        the_year,
        get_human_readable_money(SUM(sales_fact.store_sales),2) year_sales,
        get_human_readable_money(SUM(sales_fact.store_cost),2) year_cost,
        get_human_readable_money((SUM(sales_fact.store_sales) - SUM(sales_fact.store_cost)),2) year_profit
    </columns>
    <from table='sales_fact'>
        <join  table='time_by_day' >
            <on>sales_fact.time_id = time_by_day.time_id</on>
        </join>
	</from>
	<where>
	    time_by_day.the_year = $THE_YEAR
	</where>
	<group>1</group>
</select>
sales_fact (sales_analytics2)
Label Description

2.8.2 Graphs

SQL JChar

Type: Cartesian

XML

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<select>
    <columns>
        time_by_day.month_of_year,
        time_by_day.the_month, 
        SUM(sales_fact.store_cost) store_cost, 
        SUM(sales_fact.store_sales) store_sales,
        (SUM(sales_fact.store_sales) - SUM(sales_fact.store_cost)) profit
    </columns>
    <from table='sales_fact'>
        <join  table='time_by_day' >
            <on>sales_fact.time_id = time_by_day.time_id</on>
        </join>
    </from>
    <where>
        time_by_day.the_year = ${the_year}
    </where>
    <group>1,2</group>
    <order>1</order>
</select>

Type: Polar

XML

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<select>
    <columns>
        time_by_day.month_of_year,
        time_by_day.the_month,        
        SUM(sales_fact.store_cost) store_cost, 
        SUM(sales_fact.store_sales) store_sales,
        (SUM(sales_fact.store_sales) - SUM(sales_fact.store_cost)) profit
    </columns>
    <from table='sales_fact'>
        <join table='time_by_day'>
            <on>sales_fact.time_id = time_by_day.time_id</on>
        </join>
    </from>
    <where>
        time_by_day.the_year = ${the_year}
    </where>
    <group>1,2</group>
    <order>1</order>
</select>

Type: Timeseries

XML

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<select>
    <columns>
        time_by_day.the_date the_datetime,
        sum(sales_fact.unit_sales) unit_sales, 
        sum(sales_fact.store_cost) store_cost, 
        sum(sales_fact.store_sales) store_sales
    </columns>
    <from table='sales_fact'>
        <join table='time_by_day'>
            <on>sales_fact.time_id = time_by_day.time_id</on>
        </join>
    </from>
    <where>
        time_by_day.the_year = ${the_year}
    </where>
    <group>1</group>
    <order>1</order>
</select>

3 Store Analytics

This Panel includes a store dashboard a timeseries and a comparison between store districts and product families.

3.1 Stores Dashboard

3.1.1 Object

<select>
    <columns>
        the_year
    </columns>
    <from table='sales_fact_month_store'/>
    <where>
        the_year = $THE_YEAR
    </where>
</select>
sales_fact_month_store (store_analytics2)
Label Description
Year

3.1.2 Graphs

SQL Table

Type: Supertable

XML

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<select>
    <columns>
        store.store_id,
        store.store_name, 
        store.store_city,
        <!--sfms.unit_sales,-->
        
        row('ball', 'a', sfms.unit_sales, (select Min(abs(a.unit_sales)) from sales_fact_month_store a),(select Max(abs(a.unit_sales)) from sales_fact_month_store a)) Bunit_sales,
        CASE WHEN sfms.unit_sales_prev = 0 THEN 100 ELSE
        ROUND(((((sfms.unit_sales) /
        (sfms.unit_sales_prev))-1) * 100),2) END unit_sales_perc,
        sfms.sales,
        row('vbar', 'Jan', sales_jan, 'Feb', sales_feb, 'Mar', sales_mar, 'Apr', sales_apr, 'May', sales_may, 'Jun', sales_jun, 'Jul', sales_jul , 'Aug', sales_ago, 'Sep', sales_sep, 'Oct', sales_oct, 'Nov', sales_nov, 'Dec', sales_dec) sales_m,
        row('percent', '%',  sfms.sales_pct,0,100) sales_perc,
        (sfms.sales - sfms.sales_prev) sales_comp,
        sfms.cost,
        row('line', 'Jan', cost_jan, 'Feb', cost_feb, 'Mar', cost_mar, 'Apr', cost_apr, 'May', cost_may, 'Jun', cost_jun, 'Jul', cost_jul , 'Aug', cost_ago, 'Sep', cost_sep, 'Oct', cost_oct, 'Nov', cost_nov, 'Dec', cost_dec) cost_m,
        
        row('mm', 'Margin', (sfms.cost_prev - sfms.cost), (select Min(a.cost_prev - a.cost) from sales_fact_month_store a),(select Max(a.cost_prev - a.cost) from sales_fact_month_store a)) cost_dif,
        cost_pct
    </columns>
    <from table='sales_fact_month_store' alias='sfms'>
    <join table='store'>
        <on>sfms.store_id = store.store_id</on>
    </join>
    </from>
    <where>
        the_year = ${the_year}
    </where>
    <order>1</order>
</select>

SQL JChar

Type: Cartesian

XML

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<call>
    <args>
        <arg>${the_year}</arg>
    </args>
    <![CDATA[
        <xsql-script name='xsql_pivot'>
            <args>
                <arg name='p_the_year' type='integer' />
            </args>
            <body>
                <vtable name='v_out'>
                    <select>
                        <columns>
                            store.store_type, 
                            time_by_month.quarter, 
                            SUM(sales_fact_yearmonth_store.sales) store_sales
                        </columns>
                        <from table='sales_fact_yearmonth_store'>
                            <join table='store'>
                                <on>sales_fact_yearmonth_store.store_id = store.store_id</on>
                            </join>
                            <join table='time_by_month'>
                                <on>sales_fact_yearmonth_store.month_of_year = time_by_month.month_of_year</on>    
                            </join>
                        </from>
                        <where>
                            sales_fact_yearmonth_store.the_year = <p_the_year/>
                        </where>
                        <group>1,2</group>
                        <order>2</order>
                    </select>
                </vtable>
                <return><vtable.pivot name='v_out' pivotcolumns='store_type' pivotsort='quarter' datacolumns='store_sales' /></return>
            </body>
        </xsql-script>
    ]] >
</call>

Type: Cartesian

XML

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<select>
    <columns>
        store.store_city, 
        time_by_month.quarter, 
        SUM(sales_fact_yearmonth_store.sales) total_sales
    </columns>
    <from table='sales_fact_yearmonth_store'>
        <join table='store'>
            <on>sales_fact_yearmonth_store.store_id = store.store_id</on>
        </join>
        <join table='time_by_month'>
            <on>sales_fact_yearmonth_store.month_of_year = time_by_month.month_of_year</on>    
        </join>
    </from>
    <where>
        sales_fact_yearmonth_store.the_year = ${the_year}
    </where>
    <group>1,2</group>
    <order>2</order>
</select>

Type: Pie

XML

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<select>
    <columns>          
        store.store_type,         
        SUM(sales_fact_month_store.profit) profit
    </columns>
    <from table='sales_fact_month_store'>
        <join table='store'>
            <on>sales_fact_month_store.store_id = store.store_id</on>
        </join>
    </from>
    <where>
        sales_fact_month_store.the_year = ${the_year}
    </where>
    <group>1</group>
    <order>1</order>
</select>

D3 Graph

Type: Matrix

XML

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<select>
    <columns>
        product_class.product_department x_name,
        product_class.product_family x_group, 
        store.store_name y_name,
        SUM(sales_fact.store_sales) value
    </columns>
    <from table='sales_fact'>
        <join table='store'>
            <on>sales_fact.store_id = store.store_id</on>
        </join>
       <join table='product'>
            <on>sales_fact.product_id = product.product_id</on>
            <join table='product_class'>
                <on>product.product_class_id = product_class.product_class_id</on>
            </join>
        </join>
        <join table='time_by_day'>
            <on>sales_fact.time_id = time_by_day.time_id</on>
        </join>
    </from>
    <where>
        time_by_day.the_year = ${the_year}
    </where>
    <group>1,2,3</group>
    <order>3</order>
</select>

3.2 Sales Timeseries

3.2.1 Object

<select>
    <columns>
        the_year
    </columns>
    <from table='sales_fact_month_store'></from>
    <where>
        the_year = $THE_YEAR
    </where>
</select>
sales_fact_month_store (store_analytics1)
Label Description
Year

3.2.2 Graphs

D3 Graph

Type: Timeseries

XML

Copy 
<select>
    <columns>
        store.store_name <alias name='data_name' />, 
        time_by_day.the_date <alias name='the_date' />, 
        store.store_id <alias name='category' />,
        NVL(SUM(sales_fact.store_sales),0) <alias name='value' />
    </columns>
    <from table='store'>
        <join table='sales_fact'>
            <on>sales_fact.store_id = store.store_id</on>
            <join table='time_by_day'>
                <on>sales_fact.time_id = time_by_day.time_id</on>
            </join>
        </join>
    </from>
    <where>
        time_by_day.the_year = ${the_year}
    </where>
    <group>1,2,3</group>
    <order>2</order>
</select>

3.3 Stores-District vs Family

3.3.1 Object

<select-one>$FECINI <alias name='fecini'/>,$FECFIN <alias name='fecfin'/></select-one>
internal-xsqlselect-unnamed (store_analytics3)
Label Description

3.3.2 Graphs

D3 Graph

Type: Chord

XML

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<select>
    <columns>
        product_class.product_department x_name,
       <!-- store.store_state y_name,-->
       region.sales_district y_name,
        SUM(sales_fact.store_sales) value
    </columns>
    <from table='sales_fact'>
        <join table='store'>
            <on>sales_fact.store_id = store.store_id</on>
            <join table='region'>
              <on>store.region_id = region.region_id</on>  
            </join>
        </join>
        <join table='product'>
            <on>sales_fact.product_id = product.product_id</on>
            <join table='product_class'>
                <on>product.product_class_id = product_class.product_class_id</on>
            </join>
        </join>
        <join table='time_by_day'>
            <on>sales_fact.time_id = time_by_day.time_id</on>
        </join>
    </from>
    <where>
        time_by_day.the_date BETWEEN $FECINI and $FECFIN
    </where>
    <group>1,2</group>
    <order>2</order>
</select>

4 Product Analytics

This Panel includes a product dashboard and an analysis by product category for a specific month and year.

4.1 Products Dashboard

<select>
    <columns>
        the_year,
        get_human_readable_money(SUM(sales),2) sales,
        get_human_readable_money(SUM(sales_prev),2) sales_prev,
        get_human_readable_money(SUM(cost),2) cost,
        get_human_readable_money(SUM(cost_prev),2) cost_prev,
        get_human_readable_money(SUM(profit),2) profit
    </columns>
    <from table='sales_fact_month_product'/>
    <where>
        the_year = $THE_YEAR
    </where>
    <group>1</group>
    <order>1</order>
</select>
sales_fact_month_product (product_analytics1)
Label Description
Year

4.1.1 Graphs

SQL JChar

Type: Cartesian

XML

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<select>
    <columns>
        the_year,
        SUM(sales) sales
    </columns>
    <from table='sales_fact_month_product'>
    <join table='product'>
        <on>sales_fact_month_product.product_id = product.product_id</on>
        <join table='product_class'>
            <on>product.product_class_id = product_class.product_class_id</on>
        </join>			
    </join>
    </from>	
    <group>1</group>
    <order>1</order>
</select>

Type: Cartesian

XML

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<call>
    <args>
        <arg>${the_year}</arg>
    </args>
<![CDATA[
    <xsql-script>
        <args>
            <arg name='p_the_year' type='integer' />
        </args>
        <body>
            <vtable name='v_out'>
                <select>
                    <columns>
                        product_class.product_family <alias name='product_family'/>,
                        time_by_day.month_of_year,
                        SUM(sales_fact.store_sales) month_sales
                    </columns>    
                    <from table='sales_fact'>
                        <join table='product'>
                            <on>sales_fact.product_id = product.product_id</on>
                            <join table='product_class'>
                               <on>product.product_class_id = product_class.product_class_id</on>
                            </join>
                        </join>  
                        <join table='time_by_day' >
                            <on>sales_fact.time_id = time_by_day.time_id</on>
                        </join>  
                    </from>
                    <where>
                        time_by_day.the_year = <p_the_year/>
                    </where>
                    <group>1,2</group>
                    <order>2</order>      
                </select>
            </vtable>
            <return><vtable.pivot name='v_out' pivotcolumns='product_family' datacolumns='month_sales' /></return>
        </body>
    </xsql-script>
]] >
</call>

Type: Pie

XML

Copy 
<select>
    <columns>
        product_class.product_department, 
        store.store_country,
        SUM(sales_fact.store_sales) store_sales
    </columns>
    <from table='sales_fact'>
        <join table='product'>
            <on>sales_fact.product_id = product.product_id</on>
            <join table='product_class'>
                <on>product.product_class_id = product_class.product_class_id</on>
            </join>
        </join>
        <join table='store'>
            <on>sales_fact.store_id = store.store_id</on>
        </join>
        <join  table='time_by_day' >
            <on>sales_fact.time_id = time_by_day.time_id</on>
        </join>
    </from>	
    <where>
        time_by_day.the_year = ${the_year}
    </where>
    <group>1,2</group>
    <order>1</order>
</select>

Type: Heatmap

XML

Copy 
<call>
    <args>
    <arg>${the_year}</arg>
    </args>
    <![CDATA[
        <xsql-script>
            <args>
                <arg name='p_the_year' type='integer' />
            </args>
            <body>
                <vtable name='v_out'>
                    <select>
                        <columns>
                            product_class.product_department <alias name='x_name'/>,
                            store.store_city <alias name='y_name'/>, 
                            (SUM(sales_fact.store_sales) - SUM(sales_fact.store_cost)) <alias name='total'/>
                        </columns>    
                        <from table='sales_fact'>
                            <join table='product'>
                                <on>sales_fact.product_id = product.product_id</on>
                                <join table='product_class'>
                                    <on>product.product_class_id = product_class.product_class_id</on>
                                </join>
                            </join>                    
                            <join table='store'>
                                <on>sales_fact.store_id = store.store_id</on>
                            </join>
                            <join table='time_by_day' >
                                <on>sales_fact.time_id = time_by_day.time_id</on>
                            </join>  
                        </from>
                        <where>
                            time_by_day.the_year = <p_the_year/>
                        </where>
                        <group>1,2</group>
                        <order>1</order>      
                    </select>
                </vtable>
                <return><vtable.pivot name='v_out' pivotcolumns='y_name' datacolumns='total'/></return>
            </body>
        </xsql-script>
    ]] >
</call>

4.2 Analysis by subcategory

<select>
    <columns>
        month_of_year,
        the_year
    </columns>
    <from table='sales_fact_yearmonth_product'/>
    <where>
        month_of_year $MONTH_OF_YEAR AND
        the_year = $THE_YEAR
    </where>
</select>
sales_fact_yearmonth_product (units_analytics)
Label Description
Month Number
Year

5 Customer Analytics

This Panel includes a customer dashboard and a calendar for the customers' birthdays.

5.1 Customers Dashboard

5.1.1 Object

<select>
    <columns>
        the_year
    </columns>
    <from table='sales_fact_month_customer'></from>
    <where>
        the_year = $THE_YEAR
    </where>
</select>
sales_fact_month_customer (customer_analytics1)
Label Description
Year

5.1.2 Graphs

SQL JChar

Type: Cartesian

XML

Copy 
<union type='all' intotemp='@tmp1'>
    <select>
        <columns>
            customer.yearly_income,
            NVL(SUM(sales_fact_month_customer.sales),0) store_sales_m,
            0 store_sales_f
        </columns>
        <from table='sales_fact_month_customer'>
            <join table='customer'>
                <on>sales_fact_month_customer.customer_id = customer.customer_id</on>
            </join>
        </from>
        <where>
            customer.gender = 'M' and the_year = ${the_year}
        </where>
        <group>1</group>
    </select>
    <select>
        <columns>
            customer.yearly_income,
            0 store_sales_m,
            NVL(SUM(sales_fact_month_customer.sales),0) store_sales_f
        </columns>
        <from table='sales_fact_month_customer'>
            <join table='customer'>
                <on>sales_fact_month_customer.customer_id = customer.customer_id</on>
            </join>
        </from>
        <where> 
            customer.gender = 'F' and the_year = ${the_year}
        </where>
        <group>1</group>
        <order>1</order>
    </select>
</union>

<select>
    <columns>
        yearly_income,       	
        SUM(store_sales_m) store_sales_m,
        (SUM(store_sales_f) * -1) <alias name='store_sales_f'/>
    </columns>
    <from table='@tmp1'/>
    <group>1</group>
    <order>1</order>
</select>

Type: Cartesian

XML

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<union type='all' intotemp='@tmp2'>	
    <select>
        <columns>
            the_month,
            month_of_year,
            the_year,
            SUM(sales_fact_yearmonth_customer.sales) store_sales_married,
            0 store_sales_single,
            SUM(sales_fact_yearmonth_customer.cost) store_cost_married,
            0 store_cost_single,
            SUM(sales_fact_yearmonth_customer.profit) profit_married,
            0 profit_single
        </columns>
        <from table='sales_fact_yearmonth_customer'>
            <join table='customer'>
                <on>sales_fact_yearmonth_customer.customer_id = customer.customer_id</on>
            </join>
        </from>
        <where>
            customer.marital_status = 'M'
        </where>
        <group>1,2,3</group>
    </select>
    
    <select>
        <columns>
            the_month,
            month_of_year,
            the_year,
            0 store_sales_married,
            SUM(sales_fact_yearmonth_customer.sales) store_sales_single,
            0 store_cost_married,
            SUM(sales_fact_yearmonth_customer.cost) store_cost_single,
            0 profit_married,
            SUM(sales_fact_yearmonth_customer.profit) profit_single
        </columns>
        <from table='sales_fact_yearmonth_customer'>
            <join table='customer'>
                <on>sales_fact_yearmonth_customer.customer_id = customer.customer_id</on>
            </join>
        </from>
        <where>
            customer.marital_status = 'S'
        </where>
        <group>1,2,3</group>
        <order>2,3</order>
    </select>
</union>


<select>
    <columns>
        the_month,
        month_of_year,
        the_year,
        SUM(store_sales_married) store_sales_married,
        SUM(store_sales_single)  store_sales_single,
        SUM(store_cost_married)  store_cost_married,
        SUM(store_cost_single)   store_cost_single,
		SUM(profit_married)	     profit_married,
		SUM(profit_single)  	 profit_single			   
    </columns>
    <from table='@tmp2'/>
    <where> 
        the_year = ${the_year}
    </where>
    <group>1,2,3</group>
    <order>2,3</order>
</select>

Type: Pie

XML

Copy 
<select>
    <columns>
        customer.yearly_income,
        SUM(sales_fact_month_customer.sales) store_sales
    </columns>    
    <from table='sales_fact_month_customer'>
        <join table='customer'>
            <on>sales_fact_month_customer.customer_id = customer.customer_id</on>
        </join>               
    </from>
    <where>
        the_year = ${the_year}
    </where>
    <group>1</group>
    <order>1</order>
</select>

D3 Graph

Type: Sankey

XML

Copy 
<union type="all">
    <select>
        <columns>
           customer.gender     <alias name='source'/>, 
           customer.occupation <alias name='target'/>, 
           count(*)            <alias name='value'/>
        </columns>    
        <from table='sales_fact_month_customer'>
            <join table='customer'>
                <on>sales_fact_month_customer.customer_id = customer.customer_id</on>
            </join>               
        </from>
        <where>
            the_year = ${the_year}
        </where>
       <group>1,2</group>     
    </select>
    <select>
        <columns>
           customer.occupation  <alias name='source'/>, 
           customer.member_card <alias name='target'/>, 
           count(*)             <alias name='value'/>
        </columns>    
        <from table='sales_fact_month_customer'>
            <join table='customer'>
                <on>sales_fact_month_customer.customer_id = customer.customer_id</on>
            </join>  
        </from>
        <where>
            the_year = ${the_year}
        </where>
       <group>1,2</group>        
    </select>
</union>

5.2 Customers birthday calendar

5.2.1 Object

<select-one>$THE_DATE <alias name='the_date' /></select-one>
internal-xsqlselect-unnamed (customer_calendar)
Label Description

5.2.2 Graphs

Calendar Box

XML

Copy 
<select prefix='m_'>
    <columns>
        MDY(MONTH(customer.birthdate),DAY(customer.birthdate),YEAR(TODAY)) time_in,
        customer.customer_id,
        customer.fullname <alias name='fullname' />,
        customer.country <alias name='class_description' />,
        0 <alias name='event_allday' />,
        YEAR(TODAY) - YEAR(customer.birthdate) <alias name='the_description' />,
        CASE WHEN customer.country = 'Canada' THEN 'rgb(33, 150, 243)'
             WHEN customer.country = 'Mexico' THEN 'rgb(156, 39, 176)'
             WHEN customer.country = 'USA' THEN 'rgb(244, 67, 54)'
             ELSE 'rgb(0,0,0)' 
         END event_color
    </columns>
    <from table='customer' />
    <where>
        MDY(MONTH(customer.birthdate),DAY(customer.birthdate),YEAR(TODAY)) BETWEEN TODAY -7 AND TODAY + 7
    </where>
</select>