extract_data_for_clustering_analysis.sql

-- SALES DAY WITHOUT EVENTS (ONLY P8)
SELECT 
	dt.DATE AS DATE,
	dt.WEEKDAY AS WEEKDAY,
	dt.EVENT AS EVENT,
	dp.PRODUCT AS PRODUCT,
	SUM(fs.QTY_ORDER) AS QTY_ORDER
FROM
	((dw_ft_sales fs
	JOIN dw_dim_time dt ON ((fs.SK_TIME = dt.SK_TIME)))
	JOIN dw_dim_prod dp ON ((fs.SK_PROD = dp.SK_PROD)))
GROUP BY dt.DATE , dt.WEEKDAY, dt.EVENT, dp.PRODUCT
HAVING 
	dt.EVENT = 'NO EVENT' AND
    dp.PRODUCT = 'P8';

-- SALES DAY WITH EVENTS (ONLY P8)
SELECT 
	dt.DATE AS DATE,
	dt.WEEKDAY AS WEEKDAY,
	dt.EVENT AS EVENT,
	dp.PRODUCT AS PRODUCT,
	SUM(fs.QTY_ORDER) AS QTY_ORDER
FROM
	((dw_ft_sales fs
	JOIN dw_dim_time dt ON ((fs.SK_TIME = dt.SK_TIME)))
	JOIN dw_dim_prod dp ON ((fs.SK_PROD = dp.SK_PROD)))
GROUP BY dt.DATE , dt.WEEKDAY, dt.EVENT, dp.PRODUCT
HAVING 
	dt.EVENT <> 'NO EVENT' AND
    dp.PRODUCT = 'P8';    

-- SALES DAY WITH EVENTS (ALL PRODUCTS)
SELECT 
	dt.DATE AS DATE,
	dt.WEEKDAY AS WEEKDAY,
	dt.EVENT AS EVENT,
	dp.PRODUCT AS PRODUCT,
	SUM(fs.QTY_ORDER) AS QTY_ORDER
FROM
	((dw_ft_sales fs
	JOIN dw_dim_time dt ON ((fs.SK_TIME = dt.SK_TIME)))
	JOIN dw_dim_prod dp ON ((fs.SK_PROD = dp.SK_PROD)))
GROUP BY dt.DATE , dt.WEEKDAY, dt.EVENT, dp.PRODUCT
HAVING 
	dt.EVENT = 'NO EVENT';    

-- SALES DAY WITHOUT EVENTS (ALL PRODUCTS)
SELECT 
	dt.DATE AS DATE,
	dt.WEEKDAY AS WEEKDAY,
	dt.EVENT AS EVENT,
	dp.PRODUCT AS PRODUCT,
	SUM(fs.QTY_ORDER) AS QTY_ORDER
FROM
	((dw_ft_sales fs
	JOIN dw_dim_time dt ON ((fs.SK_TIME = dt.SK_TIME)))
	JOIN dw_dim_prod dp ON ((fs.SK_PROD = dp.SK_PROD)))
GROUP BY dt.DATE , dt.WEEKDAY, dt.EVENT, dp.PRODUCT
HAVING 
	dt.EVENT <> 'NO EVENT';