rowid,country,region,region_code,start_date,end_date,days,year,week,population,total_deaths,covid_deaths,expected_deaths,excess_deaths,non_covid_deaths,covid_deaths_per_100k,excess_deaths_per_100k,excess_deaths_pct_change,cadence,month,total_deaths_per_7_days,covid_deaths_per_7_days,expected_deaths_per_7_days,excess_deaths_per_7_days,non_covid_deaths_per_7_days,covid_deaths_per_100k_per_7_days,excess_deaths_per_100k_per_7_days,quarter
24912,Indonesia,Jakarta,0,2020-05-01,2020-05-31,31,2020,,10770000,4355,139,2906.00967432973,1448.99032567027,4216,1.29062209842154,13.4539491705689,0.498618548475576,monthly,5,983.387096774193,31.3870967741935,656.195732913165,327.191363861029,952.0,0.291430796417767,3.03798852238653,
24910,Indonesia,Jakarta,0,2020-03-01,2020-03-31,31,2020,,10770000,4422,84,3104.50967432973,1317.49032567027,4338,0.779944289693593,12.2329649551557,0.424379520078229,monthly,3,998.516129032258,18.9677419354839,701.018313558326,297.497815473932,979.548387096774,0.176116452511457,2.76228240922871,
24908,Indonesia,Jakarta,0,2020-01-01,2020-01-31,31,2020,,10770000,3303,0,2951.33978288658,351.66021711342,3303,0.0,3.26518307440502,0.119152738411392,monthly,1,745.838709677419,0.0,666.431563877615,79.4071457998046,745.838709677419,0.0,0.737299403897907,