Derive Insights from BigQuery Data: Challenge Lab Reviews

Narendra D. · Reviewed 6 months ago

Riya S. · Reviewed 6 months ago

Ghony Mutiara S. · Reviewed 6 months ago

Toji f. · Reviewed 6 months ago

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. · Reviewed 6 months ago

Ricky M. · Reviewed 6 months ago

Aditya N. · Reviewed 6 months ago

Baren B. · Reviewed 6 months ago

Izzan A. · Reviewed 6 months ago

Radhika G. · Reviewed 6 months ago

Giovanni D. · Reviewed 6 months ago

Perfect!

Gustavo G. · Reviewed 6 months ago

Oktavia S. · Reviewed 6 months ago

Muhammad N. · Reviewed 6 months ago

Rafael d. · Reviewed 6 months ago

Gung N. · Reviewed 6 months ago

yash s. · Reviewed 6 months ago

Arya Baskara C. · Reviewed 6 months ago

Ishu .. · Reviewed 6 months ago

Hafiza S. · Reviewed 6 months ago

Kirana Zea S. · Reviewed 6 months ago

Orang B. · Reviewed 6 months ago

Willy R. · Reviewed 6 months ago

Dita Ary C. · Reviewed 6 months ago

Mochammad S. · Reviewed 6 months ago