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Copy pathreviews.sql
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501 lines (448 loc) · 17.1 KB
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--#############################################################################################
--#################################### REVIEW DATA ############################################
--#############################################################################################
--=============================================================================================
--================================== review table overview ====================================
--=============================================================================================
SELECT
[review_id]
,[txn_id]
,[customer_id]
,[customer_name]
,[product_id]
,[product_name]
,[rating]
,[rating_text]
,[review_date]
,[verified_purchase]
,[helpful_votes]
,[review_channel]
,[review_title]
FROM [bronze].[reviews]
--=============================================================================================
--================================ review_id column cleaning ==================================
--=============================================================================================
-- review_id data overview
SELECT
review_id
FROM bronze.reviews ;
-- review_id data profiling
SELECT
review_id
FROM bronze.reviews
WHERE review_id IS NULL
OR review_id < 1 ;
-- duplicate check in reviwe_id
SELECT
*
FROM
(
SELECT
review_id ,
ROW_NUMBER() OVER(PARTITION BY review_id ORDER BY review_id) as flag
FROM bronze.reviews
)t
WHERE flag != 1 ;
-- the reviw_id column are clean
--=============================================================================================
--================================== txn_id column cleaning ==================================
--=============================================================================================
-- txn_id data overview
SELECT
txn_id
FROM bronze.reviews ;
-- txn_id data profiling
SELECT
txn_id
FROM bronze.reviews
WHERE txn_id IS NULL
OR txn_id != TRIM(UPPER(txn_id))
OR txn_id NOT LIKE 'TXN-%'
OR LEN(txn_id) < 10 ;
-- duplicate check in txn_id
SELECT
*
FROM
(
SELECT
txn_id ,
ROW_NUMBER() OVER(PARTITION BY txn_id ORDER BY txn_id) as flag
FROM bronze.reviews
)t
WHERE flag != 1 ;
--=============================================================================================
--================================== customer_name column cleaning ===========================
--=============================================================================================
-- customer_name data overview
SELECT
customer_name
FROM bronze.reviews ;
-- customer_name data profiling
SELECT
customer_name
FROM bronze.reviews
WHERE customer_name IS NULL
OR customer_name != TRIM(customer_name)
OR customer_name != dbo.TitleCase(customer_name)
OR TRIM(customer_name) = ''
OR LEN(customer_name) < 2 ;
-- Customer Name Consistency Check
SELECT
r.customer_name ,
c.full_name
FROM bronze.reviews as r
INNER JOIN bronze.customers as c
ON r.customer_id = c.customer_id
WHERE c.full_name != r.customer_name ;
--=============================================================================================
--================================== customer_id column cleaning =============================
--=============================================================================================
-- custome id data overview
SELECT
customer_id
FROM bronze.reviews ;
-- data type check in custoemr_id
SELECT
customer_id
FROM bronze.reviews
WHERE TRY_CONVERT(INT, customer_id) IS NULL ;
-- customer_id data profiling
SELECT
customer_id
FROM bronze.reviews
WHERE customer_id IS NULL
OR customer_id < 1 ;
-- customer id duplicate check
SELECT
customer_id ,
COUNT(*) as customer_count
FROM bronze.reviews
GROUP BY customer_id
ORDER BY customer_count DESC;
--=============================================================================================
--================================== product_id column cleaning ==============================
--=============================================================================================
-- product_id data overview
SELECT
product_id
FROM bronze.reviews ;
-- product_id column data type check
SELECT
product_id
FROM bronze.reviews
WHERE TRY_CONVERT(INT, product_id) IS NULL ;
-- product_id data profiling
SELECT
product_id
FROM bronze.reviews
WHERE product_id IS NULL
OR product_id < 1 ;
-- product_id duplicate check
SELECT
product_id ,
COUNT(*) as ProductIdCount
FROM bronze.reviews
GROUP BY product_id
ORDER BY ProductIdCount DESC ;
--=============================================================================================
--================================== product_name column cleaning ============================
--=============================================================================================
-- product_name data overview
SELECT
product_name
FROM bronze.reviews ;
-- product_name data profiling
SELECT
product_name
FROM bronze.reviews
WHERE product_name IS NULL
OR TRIM(product_name) != product_name
OR TRIM(product_name) = ''
OR dbo.TitleCase(product_name) != product_name
OR LEN(product_name) < 2 ;
-- Product Name Consistency Check
SELECT
r.product_name,
p.product_name
FROM bronze.reviews as r
INNER JOIN bronze.products as p
ON p.product_id = r.product_id
WHERE p.product_id != r.product_id ;
--=============================================================================================
--===================================== rating column cleaning ===============================
--=============================================================================================
-- rating data overview
SELECT
rating
FROM bronze.reviews ;
-- rating data overview
SELECT
rating
FROM bronze.reviews
WHERE rating IS NULL
OR rating > 5
OR rating < 1 ;
-- rating data analysis
SELECT
rating,
COUNT(*) as rating_count ,
CAST(ROUND(COUNT(*)*100/SUM(COUNT(*)) OVER(), 2) as nvarchar) + '%' AS percentages
FROM bronze.reviews
GROUP BY rating
ORDER BY rating_count DESC ;
--=============================================================================================
--================================ rating_text column cleaning ===============================
--=============================================================================================
-- rating_text data overviwe
SELECT
rating_text
FROM bronze.reviews ;
-- rating_text data profiling
SELECT
rating_text
FROM bronze.reviews
WHERE rating_text IS NULL
OR TRIM(rating_text) = ''
OR TRIM(rating_text) != rating_text
OR TRIM(dbo.TitleCase(rating_text)) != rating_text
OR LEN(TRIM(rating_text)) < 2 ;
-- rating_text data analysis
SELECT
rating_text,
COUNT(*) as rating_txt_count ,
CAST(ROUND(COUNT(*)*100/SUM(COUNT(*)) OVER(), 2) as nvarchar) + '%' AS percentages
FROM bronze.reviews
GROUP BY rating_text
ORDER BY rating_txt_count DESC ;
--=============================================================================================
--================================ reviews_date column cleaning ==============================
--=============================================================================================
-- review_date data profiling
SELECT
review_date
FROM bronze.reviews ;
-- Review Date Structure Validation
WITH review_date_analysis AS
(
SELECT
TRANSLATE(
TRIM(LOWER(review_date)),
'0123456789abcdefghijklmnopqrstuvwxyz',
'9999999999aaaaaaaaaaaaaaaaaaaaaaaaaa'
) as review_date_pattern
FROM bronze.reviews
)
SELECT
review_date_pattern,
COUNT(*) as count,
CAST(ROUND(COUNT(*) * 100.0 / SUM(COUNT(*)) OVER() , 2)as nvarchar) + '%' as percentage
FROM review_date_analysis
GROUP BY review_date_pattern
ORDER BY count DESC;
-- review_date cleaning and standardization
WITH clean_review_date AS
(
SELECT
CASE
WHEN review_date LIKE '[A-Z][a-z][a-z][a-z] __, ____' THEN TRY_CONVERT(DATE ,review_date)
WHEN review_date LIKE '[A-Z][a-z][a-z] __, ____' THEN TRY_CONVERT(DATE ,review_date)
WHEN review_date LIKE '____/__/__' THEN TRY_CONVERT(DATE ,review_date)
WHEN review_date LIKE '____-__-__' THEN TRY_CONVERT(DATE ,review_date)
WHEN review_date LIKE '__/__/____' AND TRY_CONVERT(INT, SUBSTRING(review_date, 4, 2)) > 12 THEN TRY_CONVERT(DATE, review_date, 101)
WHEN review_date LIKE '__/__/____' AND TRY_CONVERT(INT, LEFT(review_date, 2)) > 12 THEN TRY_CONVERT(DATE, review_date, 103)
WHEN review_date LIKE '__-__-____' AND TRY_CONVERT(INT, SUBSTRING(review_date, 4, 2)) > 12 THEN TRY_CONVERT(DATE, review_date, 110)
WHEN review_date LIKE '__-__-____' AND TRY_CONVERT(INT, LEFT(review_date, 2)) > 12 THEN TRY_CONVERT(DATE, review_date, 105)
ELSE TRY_CONVERT(DATE, review_date)
END as review_date
FROM bronze.reviews
)
SELECT
review_date
FROM clean_review_date
WHERE TRY_CONVERT(DATE, review_date) IS NULL
OR TRY_CONVERT(DATE, review_date) > GETDATE() ;
--=============================================================================================
--============================= verified_purchase column cleaning ============================
--=============================================================================================
-- verified_purchase data overview
SELECT
verified_purchase
FROM bronze.reviews ;
-- verified_purchase data profiling
SELECT
verified_purchase
FROM bronze.reviews
WHERE verified_purchase IS NULL
OR TRIM(verified_purchase) != verified_purchase
OR TRIM(verified_purchase) = '';
-- verified_purchase data analysis
SELECT
verified_purchase,
COUNT(*) as verified_purchase_count ,
CAST(ROUND(COUNT(*)*100/SUM(COUNT(*)) OVER(), 2) as nvarchar) + '%' AS percentages
FROM bronze.reviews
GROUP BY verified_purchase
ORDER BY verified_purchase_count DESC ;
-- verified_purchase cleaning and standardization
WITH clean_verified_purchase AS
(
SELECT
CASE
WHEN TRIM(LOWER(verified_purchase)) IN ('1', 'y', 'yes', 'true', 'verified') THEN 'Verified'
WHEN TRIM(LOWER(verified_purchase)) IN ('0', 'n', 'no', 'false') THEN 'Not Verified'
ELSE 'Unknown'
END AS verified_purchase
FROM bronze.reviews
)
SELECT
verified_purchase,
COUNT(*) as verified_purchase_count ,
CAST(ROUND(COUNT(*)*100/SUM(COUNT(*)) OVER(), 2) as nvarchar) + '%' AS percentages
FROM clean_verified_purchase
GROUP BY verified_purchase
ORDER BY verified_purchase_count DESC ;
--=============================================================================================
--================================= helpful_votes column cleaning ============================
--=============================================================================================
-- helpful_votes data overview
SELECT
helpful_votes
FROM bronze.reviews;
-- helpful_votes data profiling
SELECT
helpful_votes
FROM bronze.reviews
WHERE helpful_votes IS NULL
OR helpful_votes < 0 ;
--=============================================================================================
--================================ review_channel column cleaning ============================
--=============================================================================================
-- review_channel data overview
SELECT
review_channel
FROM bronze.reviews ;
-- review_channel data_prifiling
SELECT
review_channel
FROM bronze.reviews
WHERE review_channel IS NULL
OR review_channel != TRIM(review_channel)
OR review_channel != dbo.TitleCase(review_channel) ;
-- review_channel type analysis
SELECT
review_channel,
COUNT(*) as channel_count,
CAST(ROUND(COUNT(*)*100/SUM(COUNT(*)) OVER(), 2)as nvarchar) + '%' as percentages
FROM bronze.reviews
GROUP BY review_channel
ORDER BY channel_count DESC ;
-- review_channel cleaning and standardization
WITH clean_review_channel AS
(
SELECT
CASE
WHEN TRIM(LOWER(review_channel)) IN ('app', 'mobile app', 'mobile') THEN 'Mobile App'
WHEN TRIM(LOWER(review_channel)) IN ('in store', 'in-store', 'store') THEN 'In Store'
WHEN TRIM(LOWER(review_channel)) IN ('online', 'web') THEN 'Online'
WHEN TRIM(LOWER(review_channel)) = 'phone' THEN 'Phone Call'
WHEN TRIM(LOWER(review_channel)) = 'catalog' THEN 'Catalog'
ELSE 'Unknown'
END AS review_channel
FROM bronze.reviews
)
SELECT
review_channel,
COUNT(*) as channel_count,
CAST(ROUND(COUNT(*)*100/SUM(COUNT(*)) OVER(), 2)as nvarchar) + '%' as percentages
FROM clean_review_channel
GROUP BY review_channel
ORDER BY channel_count DESC ;
--=============================================================================================
--================================== review_title column cleaning ============================
--=============================================================================================
-- review_title data overview
SELECT
review_title
FROM bronze.reviews ;
-- review_title data profiling
SELECT
review_title
FROM bronze.reviews
WHERE review_title IS NULL
OR TRIM(review_title) = ''
OR TRIM(dbo.TitleCase(review_title)) != review_title
OR LEN(TRIM(review_title)) < 2 ;
-- review_title data analysis
SELECT
review_title,
COUNT(*) as review_title_count ,
CAST(ROUND(COUNT(*)*100/SUM(COUNT(*)) OVER(), 2) as nvarchar) + '%' AS percentages
FROM bronze.reviews
GROUP BY review_title
ORDER BY review_title_count DESC ;
-- review_title cleaning and standardization
SELECT
CASE
WHEN REPLACE(REPLACE(TRIM(dbo.TitleCase(review_title)), CHAR(13), ''), CHAR(10), '') = '' THEN 'Unknown'
ELSE REPLACE(REPLACE(TRIM(dbo.TitleCase(review_title)), CHAR(13), ''), CHAR(10), '')
END as review_title
FROM bronze.reviews ;
--#############################################################################################
--############################## REVIEW CLEAN DATA ############################################
--#############################################################################################
SELECT
review_id
,txn_id
,customer_id
,customer_name
,product_id
,product_name
,rating
,rating_text
,review_date
,verified_purchase
,helpful_votes
,review_channel
,review_title
FROM
(
SELECT
review_id
,txn_id
,customer_id
,customer_name
,product_id
,product_name
,rating
,rating_text
,CASE
WHEN review_date LIKE '[A-Z][a-z][a-z][a-z] __, ____' THEN TRY_CONVERT(DATE ,review_date)
WHEN review_date LIKE '[A-Z][a-z][a-z] __, ____' THEN TRY_CONVERT(DATE ,review_date)
WHEN review_date LIKE '____/__/__' THEN TRY_CONVERT(DATE ,review_date)
WHEN review_date LIKE '____-__-__' THEN TRY_CONVERT(DATE ,review_date)
WHEN review_date LIKE '__/__/____' AND TRY_CONVERT(INT, SUBSTRING(review_date, 4, 2)) > 12 THEN TRY_CONVERT(DATE, review_date, 101)
WHEN review_date LIKE '__/__/____' AND TRY_CONVERT(INT, LEFT(review_date, 2)) > 12 THEN TRY_CONVERT(DATE, review_date, 103)
WHEN review_date LIKE '__-__-____' AND TRY_CONVERT(INT, SUBSTRING(review_date, 4, 2)) > 12 THEN TRY_CONVERT(DATE, review_date, 110)
WHEN review_date LIKE '__-__-____' AND TRY_CONVERT(INT, LEFT(review_date, 2)) > 12 THEN TRY_CONVERT(DATE, review_date, 105)
ELSE TRY_CONVERT(DATE, review_date)
END as review_date
,CASE
WHEN TRIM(LOWER(verified_purchase)) IN ('1', 'y', 'yes', 'true', 'verified') THEN 'Verified'
WHEN TRIM(LOWER(verified_purchase)) IN ('0', 'n', 'no', 'false') THEN 'Not Verified'
ELSE 'Unknown'
END AS verified_purchase
,[helpful_votes]
,CASE
WHEN TRIM(LOWER(review_channel)) IN ('app', 'mobile app', 'mobile') THEN 'Mobile App'
WHEN TRIM(LOWER(review_channel)) IN ('in store', 'in-store', 'store') THEN 'In Store'
WHEN TRIM(LOWER(review_channel)) IN ('online', 'web') THEN 'Online'
WHEN TRIM(LOWER(review_channel)) = 'phone' THEN 'Phone Call'
WHEN TRIM(LOWER(review_channel)) = 'catalog' THEN 'Catalog'
ELSE 'Unknown'
END AS review_channel
,CASE
WHEN REPLACE(REPLACE(TRIM(dbo.TitleCase(review_title)), CHAR(13), ''), CHAR(10), '') = '' THEN 'Unknown'
ELSE REPLACE(REPLACE(TRIM(dbo.TitleCase(review_title)), CHAR(13), ''), CHAR(10), '')
END as review_title
FROM [bronze].[reviews]
)t ;