BigQuery の気象データ のレビュー

Saifi Sameer · 7ヶ月前にレビュー済み

gg

kumar Rupesh · 7ヶ月前にレビュー済み

Khan Azlan · 7ヶ月前にレビュー済み

Nikam Aditya · 7ヶ月前にレビュー済み

Shaurya Aryan · 7ヶ月前にレビュー済み

SELECT descriptor, sum(complaint_count) as total_complaint_count, count(wind_speed) as data_count, ROUND(corr(wind_speed, avg_count),3) AS corr_count, ROUND(corr(wind_speed, avg_pct_count),3) AS corr_pct From ( SELECT avg(pct_count) as avg_pct_count, avg(day_count) as avg_count, sum(day_count) as complaint_count, descriptor, wind_speed FROM ( SELECT DATE(timestamp) AS date, wind_speed FROM demos.nyc_weather) a JOIN ( SELECT x.date, descriptor, day_count, day_count / all_calls_count as pct_count FROM (SELECT DATE(created_date) AS date, concat(complaint_type, ": ", descriptor) as descriptor, COUNT(*) AS day_count FROM `bigquery-public-data.new_york.311_service_requests` GROUP BY date, descriptor)x JOIN ( SELECT DATE(timestamp) AS date, COUNT(*) AS all_calls_count FROM `demos.nyc_weather` GROUP BY date )y ON x.date=y.date )b ON a.date = b.date GROUP BY descriptor, wind_speed ) GROUP BY descriptor HAVING total_complaint_count > 5000 AND ABS(corr_pct) > 0.5 AND data_count > 5 ORDER BY ABS(corr_pct) DESC

Sahabuddin Syed · 7ヶ月前にレビュー済み

Karki Aditya · 7ヶ月前にレビュー済み

AMBATI SRI CHAITANYA · 7ヶ月前にレビュー済み

Dutta Deep · 7ヶ月前にレビュー済み

Singh Abhishek · 7ヶ月前にレビュー済み

Shandilya Vagish · 7ヶ月前にレビュー済み

Momen Yaqoob · 7ヶ月前にレビュー済み

GOOGLEUSER Mrunal S.Naik · 7ヶ月前にレビュー済み

purohit hemang · 7ヶ月前にレビュー済み

Dsouza Glevin · 7ヶ月前にレビュー済み

Sri Handari Indri · 7ヶ月前にレビュー済み

Khandait Rahul · 7ヶ月前にレビュー済み

selvam krithikgokul · 7ヶ月前にレビュー済み

Paudel Amar · 7ヶ月前にレビュー済み

hi

Singh Rajan · 7ヶ月前にレビュー済み

Ghosh Shubhro · 7ヶ月前にレビュー済み

nice

Ghosh Rakhi · 7ヶ月前にレビュー済み

Khandelwal Shreyansh · 7ヶ月前にレビュー済み

Yadav Vipul · 7ヶ月前にレビュー済み

Arcade Feb 2024

Mieles Jonathan · 7ヶ月前にレビュー済み