关于“从 BigQuery 数据中挖掘洞见:实验室挑战赛”的评价
80009 条评价
Sahil P. · 已于 almost 2 years前审核
Ajith R. · 已于 almost 2 years前审核
Tasking but it worth it
Abiodun A. · 已于 almost 2 years前审核
Chiranth s P. · 已于 almost 2 years前审核
Ashutosh G. · 已于 almost 2 years前审核
for #10, which it had "create a custom query", i tried to built everything from the dashboard side, which worked, but didn't pass
Jonathan N. · 已于 almost 2 years前审核
Jagannath P. · 已于 almost 2 years前审核
Astha S. · 已于 almost 2 years前审核
Raghavendra k. · 已于 almost 2 years前审核
Samruddhi P. · 已于 almost 2 years前审核
Ahmad S. · 已于 almost 2 years前审核
Agniva G. · 已于 almost 2 years前审核
Akshat J. · 已于 almost 2 years前审核
CHATHUR J C. · 已于 almost 2 years前审核
Wahyu P. · 已于 almost 2 years前审核
It was great learning this lab.
Nikita S. · 已于 almost 2 years前审核
Robert L. · 已于 almost 2 years前审核
Utku K. · 已于 almost 2 years前审核
Narendra D. · 已于 almost 2 years前审核
Riya S. · 已于 almost 2 years前审核
Ghony Mutiara S. · 已于 almost 2 years前审核
Toji f. · 已于 almost 2 years前审核
This lab is overly-specific in how the problems are addressed. For example, in task 7, it is incorrect to filter WHERE (net_new_cases/previous_day) > 0.10 but it is correct to state WHERE (net_new_cases/previous_day) * 100 > 10.0, which is an equivalent expression. There is also inconsistency in how "cumulative" is used. In task 4, cumulative is summed across days, while in tasks 1, 2, 3 and 5 it is restricted to single days. This shows two differing interpretations - is cumulative for all time forward as a monotonically increasing series, or is cumulative across all entities for a given date, and therefore not monotonically increasing? The introduction of CDGR is a bit cagey because the formula provided doesn't actually work in BQ (the carat is a bitwise indicator, not an exponent) and isn't syntactically valid (unmatched parentheses). We ought to be able to research and find POWER(), and that's on the user ,but I think the explanation is lacking.
Jeremy L. · 已于 almost 2 years前审核
Ricky M. · 已于 almost 2 years前审核
Aditya N. · 已于 almost 2 years前审核
我们无法确保发布的评价来自已购买或已使用产品的消费者。评价未经 Google 核实。