Derive Insights from BigQuery Data: laboratório com desafio avaliações

Dhimas Prayogo P. · Revisado há 6 months

Rizky W. · Revisado há 6 months

JVS T. · Revisado há 6 months

Mohammad Idris Arif B. · Revisado há 6 months

Uzma A. · Revisado há 6 months

Ramadhani Samudra G. · Revisado há 6 months

Alan T. · Revisado há 6 months

Guilherme Vinicius d. · Revisado há 6 months

Rafael Luiz A. · Revisado há 6 months

Cherry G. · Revisado há 6 months

Clara G. · Revisado há 6 months

Kauã S. · Revisado há 6 months

Adrija M. · Revisado há 6 months

KUNAL_SHARMA K. · Revisado há 6 months

Muhammad Surya Adhi S. · Revisado há 6 months

Said M. · Revisado há 6 months

Muhammad Naufal S. · Revisado há 6 months

Muhammad F. · Revisado há 6 months

monther a. · 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?

Jeremy L. · Revisado há 6 months

Abdelrahman S. · Revisado há 6 months

mercedes G. · Revisado há 6 months

Paola Andreas C. · Revisado há 6 months