Create Exploring Your Ecommerce Dataset with SQL in Google BigQuery

Exploring Your Ecommerce Dataset with SQL in Google BigQuery

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+bq query --use_legacy_sql=false \
+'SELECT COUNT(*) as num_duplicate_rows, * FROM
+`data-to-insights.ecommerce.all_sessions_raw`
+GROUP BY
+fullVisitorId, channelGrouping, time, country, city, totalTransactionRevenue, transactions, timeOnSite, pageviews, sessionQualityDim, date, visitId, type, productRefundAmount, productQuantity, productPrice, productRevenue, productSKU, v2ProductName, v2ProductCategory, productVariant, currencyCode, itemQuantity, itemRevenue, transactionRevenue, transactionId, pageTitle, searchKeyword, pagePathLevel1, eCommerceAction_type, eCommerceAction_step, eCommerceAction_option
+HAVING num_duplicate_rows > 1;'
+bq query --use_legacy_sql=false \
+'SELECT
+fullVisitorId,
+visitId,
+date,
+time,
+v2ProductName,
+productSKU,
+type,
+eCommerceAction_type,
+eCommerceAction_step,
+eCommerceAction_option,
+  transactionRevenue,
+  transactionId,
+COUNT(*) as row_count
+FROM
+`data-to-insights.ecommerce.all_sessions`
+GROUP BY 1,2,3 ,4, 5, 6, 7, 8, 9, 10,11,12
+HAVING row_count > 1 # find duplicates'
+bq query --use_legacy_sql=false \
+'#standardSQL
+SELECT
+  COUNT(*) AS product_views,
+  COUNT(DISTINCT fullVisitorId) AS unique_visitors
+FROM `data-to-insights.ecommerce.all_sessions`;'
+bq query --use_legacy_sql=false \
+'SELECT
+  COUNT(DISTINCT fullVisitorId) AS unique_visitors,
+  channelGrouping
+FROM `data-to-insights.ecommerce.all_sessions`
+GROUP BY channelGrouping
+ORDER BY channelGrouping DESC;'
+bq query --use_legacy_sql=false \
+'SELECT
+  (v2ProductName) AS ProductName
+FROM `data-to-insights.ecommerce.all_sessions`
+GROUP BY ProductName
+ORDER BY ProductName'
+bq query --use_legacy_sql=false \
+'SELECT
+  COUNT(*) AS product_views,
+  (v2ProductName) AS ProductName
+FROM `data-to-insights.ecommerce.all_sessions`
+WHERE type = "PAGE"
+GROUP BY v2ProductName
+ORDER BY product_views DESC
+LIMIT 5;'
+bq query --use_legacy_sql=false \
+'WITH unique_product_views_by_person AS (
+-- find each unique product viewed by each visitor
+SELECT
+ fullVisitorId,
+ (v2ProductName) AS ProductName
+FROM `data-to-insights.ecommerce.all_sessions`
+WHERE type = "PAGE"
+GROUP BY fullVisitorId, v2ProductName )
+-- aggregate the top viewed products and sort them
+SELECT
+  COUNT(*) AS unique_view_count,
+  ProductName
+FROM unique_product_views_by_person
+GROUP BY ProductName
+ORDER BY unique_view_count DESC
+LIMIT 5'
+bq query --use_legacy_sql=false \
+'SELECT
+  COUNT(*) AS product_views,
+  COUNT(productQuantity) AS orders,
+  SUM(productQuantity) AS quantity_product_ordered,
+  v2ProductName
+FROM `data-to-insights.ecommerce.all_sessions`
+WHERE type = "PAGE"
+GROUP BY v2ProductName
+ORDER BY product_views DESC
+LIMIT 5;'
+bq query --use_legacy_sql=false \
+'SELECT
+  COUNT(*) AS product_views,
+  COUNT(productQuantity) AS orders,
+  SUM(productQuantity) AS quantity_product_ordered,
+  SUM(productQuantity) / COUNT(productQuantity) AS avg_per_order,
+  (v2ProductName) AS ProductName
+FROM `data-to-insights.ecommerce.all_sessions`
+WHERE type = "PAGE"
+GROUP BY v2ProductName
+ORDER BY product_views DESC
+LIMIT 5;'