Derive Insights from BigQuery Data: laboratório com desafio avaliações
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Narendra D. · Revisado há 6 months
Riya S. · Revisado há 6 months
Ghony Mutiara S. · Revisado há 6 months
Toji f. · Revisado há 6 months
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. · Revisado há 6 months
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Giovanni D. · Revisado há 6 months
Perfect!
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