Weather Data in BigQuery Reviews

Pavel S. · Reviewed حوالي سنتان ago

nice

Dora D. · Reviewed حوالي سنتان ago

Nilesh N. · Reviewed حوالي سنتان ago

Parv c. · Reviewed حوالي سنتان ago

Debayan M. · Reviewed حوالي سنتان ago

Ritik R. · Reviewed حوالي سنتان ago

Ritik Raj 2. · Reviewed حوالي سنتان ago

Ritik R. · Reviewed حوالي سنتان ago

Arjun V. · Reviewed حوالي سنتان ago

Sac A. · Reviewed حوالي سنتان ago

Himanshu G. · Reviewed حوالي سنتان ago

Harshii G. · Reviewed حوالي سنتان ago

King X. · Reviewed حوالي سنتان ago

Sameer S. · Reviewed حوالي سنتان ago

gg

Rupesh k. · Reviewed حوالي سنتان ago

Azlan K. · Reviewed حوالي سنتان ago

Aditya N. · Reviewed حوالي سنتان ago

Aryan S. · Reviewed حوالي سنتان ago

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

Syed S. · Reviewed حوالي سنتان ago

Aditya K. · Reviewed حوالي سنتان ago

SRI CHAITANYA A. · Reviewed حوالي سنتان ago

Deep D. · Reviewed حوالي سنتان ago

Abhishek S. · Reviewed حوالي سنتان ago

Vagish S. · Reviewed حوالي سنتان ago

Yaqoob M. · Reviewed حوالي سنتان ago