I have a dataset with daily frequency. A small example is attached.
Code:
* Example generated by -dataex-. For more info, type help dataex clear input str8 iso_code str13 continent str32 country long total_cases float(si date2) "AFG" "Asia" "Afghanistan" 146523 . 22493 "AFG" "Asia" "Afghanistan" 147985 . 22494 "AFG" "Asia" "Afghanistan" 148572 . 22495 "ALB" "Europe" "Albania" 133121 37.96 22493 "ALB" "Europe" "Albania" 133146 37.96 22494 "ALB" "Europe" "Albania" 133211 37.96 22495 "DZA" "Africa" "Algeria" 172564 . 22493 "DZA" "Africa" "Algeria" 173922 . 22494 "DZA" "Africa" "Algeria" 175229 . 22495 "AND" "Europe" "Andorra" 14678 46.3 22493 "AND" "Europe" "Andorra" 14747 46.3 22494 "AND" "Europe" "Andorra" 14766 . 22495 "AGO" "Africa" "Angola" 42815 . 22493 "AGO" "Africa" "Angola" 42970 . 22494 "AGO" "Africa" "Angola" 43070 . 22495 "ATG" "North America" "Antigua and Barbuda" 1303 . 22493 "ATG" "North America" "Antigua and Barbuda" 1303 . 22494 "ATG" "North America" "Antigua and Barbuda" 1303 . 22495 "ARG" "South America" "Argentina" 4935847 73.61 22493 "ARG" "South America" "Argentina" 4947030 73.61 22494 "ARG" "South America" "Argentina" 4961880 . 22495 "ARM" "Asia" "Armenia" 230339 . 22493 "ARM" "Asia" "Armenia" 230476 . 22494 "ARM" "Asia" "Armenia" 230713 . 22495 "ABW" "North America" "Aruba" . 28.7 22493 "ABW" "North America" "Aruba" . 28.7 22494 "ABW" "North America" "Aruba" . 28.7 22495 "AUS" "Oceania" "Australia" 34612 . 22493 "AUS" "Oceania" "Australia" 34836 . 22494 "AUS" "Oceania" "Australia" 35089 . 22495 "AUT" "Europe" "Austria" 659508 . 22493 "AUT" "Europe" "Austria" 659872 . 22494 "AUT" "Europe" "Austria" 660262 . 22495 "AZE" "Asia" "Azerbaijan" 344520 61.11 22493 "AZE" "Asia" "Azerbaijan" 344951 . 22494 "AZE" "Asia" "Azerbaijan" 345882 . 22495 "BHS" "North America" "Bahamas" 14840 57.41 22493 "BHS" "North America" "Bahamas" 14840 . 22494 "BHS" "North America" "Bahamas" 15011 . 22495 "BHR" "Asia" "Bahrain" 269303 . 22493 "BHR" "Asia" "Bahrain" 269401 . 22494 "BHR" "Asia" "Bahrain" 269495 . 22495 "BGD" "Asia" "Bangladesh" 1264328 . 22493 "BGD" "Asia" "Bangladesh" 1280317 . 22494 "BGD" "Asia" "Bangladesh" 1296093 . 22495 "BRB" "North America" "Barbados" 4407 . 22493 "BRB" "North America" "Barbados" 4417 . 22494 "BRB" "North America" "Barbados" 4422 . 22495 "BLR" "Europe" "Belarus" 446998 . 22493 "BLR" "Europe" "Belarus" 447754 . 22494 "BLR" "Europe" "Belarus" 448335 . 22495 "BEL" "Europe" "Belgium" 1124715 . 22493 "BEL" "Europe" "Belgium" 1129018 . 22494 "BEL" "Europe" "Belgium" 1130758 . 22495 "BLZ" "North America" "Belize" 14163 63.89 22493 "BLZ" "North America" "Belize" 14163 63.89 22494 "BLZ" "North America" "Belize" 14284 . 22495 "BEN" "Africa" "Benin" 8394 38.89 22493 "BEN" "Africa" "Benin" 8394 38.89 22494 "BEN" "Africa" "Benin" 8394 . 22495 "BTN" "Asia" "Bhutan" 2518 . 22493 "BTN" "Asia" "Bhutan" 2524 . 22494 "BTN" "Asia" "Bhutan" 2532 . 22495 "BOL" "South America" "Bolivia" 473899 . 22493 "BOL" "South America" "Bolivia" 474538 . 22494 "BOL" "South America" "Bolivia" 475265 . 22495 "BIH" "Europe" "Bosnia and Herzegovina" 205655 . 22493 "BIH" "Europe" "Bosnia and Herzegovina" 205785 . 22494 "BIH" "Europe" "Bosnia and Herzegovina" 205825 . 22495 "BWA" "Africa" "Botswana" 106690 . 22493 "BWA" "Africa" "Botswana" 115220 . 22494 "BWA" "Africa" "Botswana" 115220 . 22495 "BRA" "South America" "Brazil" 19938358 . 22493 "BRA" "South America" "Brazil" 19953501 . 22494 "BRA" "South America" "Brazil" 19985817 . 22495 "BRN" "Asia" "Brunei" 337 . 22493 "BRN" "Asia" "Brunei" 338 . 22494 "BRN" "Asia" "Brunei" 338 . 22495 "BGR" "Europe" "Bulgaria" 425148 . 22493 "BGR" "Europe" "Bulgaria" 425541 . 22494 "BGR" "Europe" "Bulgaria" 426003 . 22495 "BFA" "Africa" "Burkina Faso" 13588 . 22493 "BFA" "Africa" "Burkina Faso" 13591 . 22494 "BFA" "Africa" "Burkina Faso" 13591 . 22495 "BDI" "Africa" "Burundi" 7080 . 22493 "BDI" "Africa" "Burundi" 7505 . 22494 "BDI" "Africa" "Burundi" 7518 . 22495 "KHM" "Asia" "Cambodia" 77914 68.98 22493 "KHM" "Asia" "Cambodia" 78474 68.98 22494 "KHM" "Asia" "Cambodia" 79051 68.98 22495 "CMR" "Africa" "Cameroon" 82064 29.63 22493 "CMR" "Africa" "Cameroon" 82064 29.63 22494 "CMR" "Africa" "Cameroon" 82064 . 22495 "CAN" "North America" "Canada" 1438817 . 22493 "CAN" "North America" "Canada" 1439032 . 22494 "CAN" "North America" "Canada" 1441275 . 22495 "CPV" "Africa" "Cape Verde" 33822 . 22493 "CPV" "Africa" "Cape Verde" 33830 . 22494 "CPV" "Africa" "Cape Verde" 33858 . 22495 end format %td date2
I probably need to create an index variable taking the value of 1, 2 or 3 and then using something like:
if index==1
do myfile.do
else if index==2
do myfile2.do
else if index==3
do myfile3.do
However, I cannot figure out how I can do this. or whether there is a simpler approach. Any help?
Thanks in advance.
Dario
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