Mendapatkan Insight dari Data BigQuery: Challenge Lab Ulasan

Arnab S. · Diulas 9 bulan lalu

Afrian N. · Diulas 9 bulan lalu

Maria de los Angeles H. · Diulas 9 bulan lalu

Nicolas L. · Diulas 9 bulan lalu

jose maria v. · Diulas 9 bulan lalu

Brahma P. · Diulas 9 bulan lalu

Andrei B. · Diulas 9 bulan lalu

Apostolos F. · Diulas 9 bulan lalu

Giulio S. · Diulas 9 bulan lalu

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. · Diulas 9 bulan lalu

Apostolos F. · Diulas 9 bulan lalu

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. · Diulas 9 bulan lalu

Apostolos F. · Diulas 9 bulan lalu

Guillaume D. · Diulas 9 bulan lalu

Giorgos X. · Diulas 9 bulan lalu

Daisuke K. · Diulas 9 bulan lalu

Daisuke K. · Diulas 9 bulan lalu

Rosalba S. · Diulas 9 bulan lalu

Saradha B. · Diulas 9 bulan lalu

Theofanis L. · Diulas 9 bulan lalu

Giorgos X. · Diulas 9 bulan lalu

Roberto Javier H. · Diulas 9 bulan lalu

Thanh N. · Diulas 9 bulan lalu

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. · Diulas 9 bulan lalu

Roberta M. · Diulas 9 bulan lalu