Gerar insights a partir de dados do BigQuery: laboratório com desafio avaliações

Arnab S. · Revisado há 9 months

Afrian N. · Revisado há 9 months

Maria de los Angeles H. · Revisado há 9 months

Nicolas L. · Revisado há 9 months

jose maria v. · Revisado há 9 months

Brahma P. · Revisado há 9 months

Andrei B. · Revisado há 9 months

Apostolos F. · Revisado há 9 months

Giulio S. · Revisado há 9 months

Strongly disagree with instructions from Task 10, lost much time searching for a solution when there is no need for looker but only big query ... or at least both

Théo H. · Revisado há 9 months

Apostolos F. · Revisado há 9 months

Strongly disagree with instructions from Task 10, lost much time searching for a solution when there is no need for looker but only big query

Théo H. · Revisado há 9 months

Apostolos F. · Revisado há 9 months

Guillaume D. · Revisado há 9 months

Giorgos X. · Revisado há 9 months

Daisuke K. · Revisado há 9 months

Daisuke K. · Revisado há 9 months

Rosalba S. · Revisado há 9 months

Saradha B. · Revisado há 9 months

Theofanis L. · Revisado há 9 months

Giorgos X. · Revisado há 9 months

Roberto Javier H. · Revisado há 9 months

Thanh N. · Revisado há 9 months

Check my Progress fails unexpectedly Identifying Hotspots Please execute the query to identify hotspots according to correct data. SELECT subregion1_name AS state , SUM(cumulative_confirmed) AS total_confirmed_cases FROM `bigquery-public-data.covid19_open_data.covid19_open_data` WHERE date = '2020-05-20' AND country_code = 'US' AND subregion1_name IS NOT NULL GROUP BY state HAVING total_confirmed_cases>2500 ORDER BY total_confirmed_cases DESC

robert león j. · Revisado há 9 months

Roberta M. · Revisado há 9 months