Derive Insights from BigQuery Data: Challenge Lab avis

Dhimas Prayogo P. · Examiné il y a 6 mois

Rizky W. · Examiné il y a 6 mois

JVS T. · Examiné il y a 6 mois

Mohammad Idris Arif B. · Examiné il y a 6 mois

Uzma A. · Examiné il y a 6 mois

Ramadhani Samudra G. · Examiné il y a 6 mois

Alan T. · Examiné il y a 6 mois

Guilherme Vinicius d. · Examiné il y a 6 mois

Rafael Luiz A. · Examiné il y a 6 mois

Cherry G. · Examiné il y a 6 mois

Clara G. · Examiné il y a 6 mois

Kauã S. · Examiné il y a 6 mois

Adrija M. · Examiné il y a 6 mois

KUNAL_SHARMA K. · Examiné il y a 6 mois

Muhammad Surya Adhi S. · Examiné il y a 6 mois

Said M. · Examiné il y a 6 mois

Muhammad Naufal S. · Examiné il y a 6 mois

Muhammad F. · Examiné il y a 6 mois

monther a. · Examiné il y a 6 mois

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. · Examiné il y a 6 mois

Abdelrahman S. · Examiné il y a 6 mois

mercedes G. · Examiné il y a 6 mois

Paola Andreas C. · Examiné il y a 6 mois