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102_graphs.do
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102_graphs.do
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/* ===========================================================================
Do file name: 102_graphs.do
Project: COVID Collateral IMD
Date: 04/04/2023
Author: Ruth Costello
Description: Generates line graphs of percentage of each outcome and strata per month
==============================================================================*/
cap log using ./logs/graphs.log, replace
cap mkdir ./output/graphs
* CVD outcomes only
* file local: population
local outcomes "mi_admission stroke_admission heart_failure_admission vte_admission"
*local file "has_t1_diabetes has_t2_diabetes population has_asthma has_copd has_copd"
forvalues i=1/4 {
local this_outcome: word `i' of `outcomes'
*local population: word `i' of `file'
* Generates graphs for each outcome
* IMD
import delimited using ./output/measures/measure_`this_outcome'_imd_rate.csv, numericcols(4) clear
* IMD shouldn't be missing
count if imd==0 | imd==.
* drop missings (should only be in dummy data)
drop if imd==0 | imd==.
* Generate percentage of population with outcome
gen percent = value*100
* Format date
gen dateA = date(date, "YMD")
drop date
format dateA %dD/M/Y
* reshape dataset so columns with percentage for each IMD category
reshape wide value percent population `this_outcome', i(dateA) j(imd)
describe
* Labelling IMD variables
label var percent1 "IMD 1"
label var percent2 "IMD 2"
label var percent3 "IMD 3"
label var percent4 "IMD 4"
label var percent5 "IMD 5"
* Generate line graph
graph twoway line percent1 percent2 percent3 percent4 percent5 date, tlabel(01Jan2018(120)31Dec2021, angle(45) ///
format(%dM-CY) labsize(small)) ytitle("Percentage") xtitle("Date") ylabel(#5, labsize(small) ///
angle(0)) yscale(r(0) titlegap(*10)) xmtick(##6) legend(row(1) size(small) ///
title("IMD categories", size(small))) graphregion(fcolor(white))
graph export ./output/graphs/line_`this_outcome'_imd.svg, as(svg) replace
* Plotting first derivative i.e. difference between current percent and previous months percent
forvalues j=1/5 {
sort dateA
gen first_derivative`j' = percent`j' - percent`j'[_n-1]
}
* Label variables
label var first_derivative1 "IMD 1"
label var first_derivative2 "IMD 2"
label var first_derivative3 "IMD 3"
label var first_derivative4 "IMD 4"
label var first_derivative5 "IMD 5"
* Plot this
graph twoway line first_derivative1 first_derivative2 first_derivative3 first_derivative4 first_derivative5 date, tlabel(01Jan2018(120)31Dec2021, angle(45) ///
format(%dM-CY) labsize(small)) ytitle("Absolute difference") xtitle("Date") ylabel(#5, labsize(small) ///
angle(0)) yscale(r(0) titlegap(*10)) xmtick(##6) legend(row(1) size(small) ///
title("IMD categories", size(small))) graphregion(fcolor(white))
graph export ./output/graphs/line_`this_outcome'_diff_imd.svg, as(svg) replace
* Export data file for output checking
export delimited using ./output/graphs/line_data_`this_outcome'_diff_imd.csv
/* Migration status
import delimited using ./output/measures/measure_`this_outcome'_migration_status_rate.csv, numericcols(4) clear
* migration status shouldn't be missing
count if migration_status==.
* drop missings (should only be in dummy data)
drop if migration_status==.
* Generate percentage with outcome
gen percent = value*100
* Format date
gen dateA = date(date, "YMD")
drop date
format dateA %dD/M/Y
* reshape dataset so columns with percentage for each migration category
reshape wide value percent `population' `this_outcome', i(dateA) j(migration_status)
describe
label var percent0 "Non-migrant"
label var percent1 "Migrant"
* Generate line graph
graph twoway line percent0 percent1 date, tlabel(01Jan2018(120)31Dec2021, angle(45) ///
format(%dM-CY) labsize(small)) ytitle("Percentage") xtitle("Date") ylabel(#5, labsize(small) ///
angle(0)) yscale(r(0) titlegap(*10)) xmtick(##6) legend(row(1) size(small) ///
title("Migration status", size(small))) graphregion(fcolor(white))
graph export ./output/graphs/line_`this_outcome'_migration_status.svg, as(svg) replace
* Plotting first derivative i.e. difference between current percent and previous months percent
forvalues j=0/1 {
sort dateA
gen first_derivative`j' = percent`j' - percent`j'[_n-1]
}
* Label variables
label var first_derivative0 "Non-migrant"
label var first_derivative1 "Migrant"
* Plot this
graph twoway line first_derivative0 first_derivative1 date, tlabel(01Jan2018(120)31Dec2021, angle(45) ///
format(%dM-CY) labsize(small)) ytitle("Difference (%)") xtitle("Date") ylabel(#5, labsize(small) ///
angle(0)) yscale(r(0) titlegap(*10)) xmtick(##6) legend(row(1) size(small) ///
title("Migration status", size(small))) graphregion(fcolor(white))
graph export ./output/graphs/line_`this_outcome'_diff_migration_status.svg, as(svg) replace
* Export data file for output checking
export delimited using ./output/graphs/line_data_`this_outcome'_diff_migration_status.csv
*/
}