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
10179,Malaysia,Malaysia,0,2020-02-01,2020-02-29,29,2020,,33938216,13827,0,14514.192113273,-687.192113273002,13827,0.0,-2.02483275276756,-0.0473462186465463,monthly,2,3337.55172413793,0.0,3503.42568251417,-165.873958376242,3337.55172413793,0.0,-0.488752733426653,
22331,Malaysia,Malaysia,0,2020-02-01,2020-02-29,29,2020,,33938216,13827,0,14514.192113273,-687.192113273002,13827,0.0,-2.02483275276756,-0.0473462186465462,monthly,2,3337.55172413793,0.0,3503.42568251417,-165.873958376242,3337.55172413793,0.0,-0.488752733426653,
10178,Malaysia,Malaysia,0,2020-01-01,2020-01-31,31,2020,,33938216,16028,0,15557.5768731374,470.423126862621,16028,0.0,1.38611624978349,0.0302375576028733,monthly,1,3619.22580645161,0.0,3513.00122941812,106.224577033495,3619.22580645161,0.0,0.312993991886595,
22330,Malaysia,Malaysia,0,2020-01-01,2020-01-31,31,2020,,33938216,16028,0,15557.5768731374,470.423126862621,16028,0.0,1.38611624978349,0.0302375576028719,monthly,1,3619.22580645161,0.0,3513.00122941812,106.224577033495,3619.22580645161,0.0,0.312993991886595,