关于“利用 BigQuery 排解常見的 SQL 錯誤”的评价

JAIKEY S. · 评论over 1 year之前

Sparsh G. · 评论over 1 year之前

Sayoni S. · 评论over 1 year之前

Aman K. · 评论over 1 year之前

Raunak G. · 评论over 1 year之前

Om A. · 评论over 1 year之前

Sarah Z. · 评论over 1 year之前

gcp f. · 评论over 1 year之前

Gaurav S. · 评论over 1 year之前

did all tasks, mentioned differences in different average functions, different data sources assuming because different precision, one task was not accepted; i asked in the shell why, this is only bad style

Christian W. · 评论over 1 year之前

Priyanshu G. · 评论over 1 year之前

Prashant B. · 评论over 1 year之前

Nice lab

Preet J. · 评论over 1 year之前

Jesús Francisco P. · 评论over 1 year之前

Anant P. · 评论over 1 year之前

Tasks 2 and 3 will not clear - no matter how I write the query. The "tips" are too vague to be helpful. Add a column to the query for Task 2 - what other column do I need to return total customers who check out? Same for Task 3 is asks for something different than the exercise asked for. How do I clear this to complete the module?

BC H. · 评论over 1 year之前

Alejandra B. · 评论over 1 year之前

JOSE G. · 评论over 1 year之前

Vishal P. · 评论over 1 year之前

Mario F. · 评论over 1 year之前

Vinicius R. · 评论over 1 year之前

Prince Hritik T. · 评论over 1 year之前

Task 3. List the cities with the most transactions with your ecommerce site - is challenging and lacks clear instructions on what to do because even if you run the provided SQL query it doesn't complete the assesment so I had to improvise and use this query below: #standardSQL SELECT geoNetwork_city, SUM(totals_transactions) AS total_products_ordered, COUNT( DISTINCT fullVisitorId) AS distinct_visitors, SUM(totals_transactions) / COUNT( DISTINCT fullVisitorId) AS avg_products_ordered FROM `data-to-insights.ecommerce.rev_transactions` GROUP BY geoNetwork_city HAVING COUNT( DISTINCT fullVisitorId) > 1000 ORDER BY distinct_visitors DESC

Renzi Mae V. · 评论over 1 year之前

Poorvaj K. · 评论over 1 year之前

Uttam Kumar R. · 评论over 1 year之前