graph bar: only labels from one variable in bold

[Paula de Souza Leao Spinola]

Hi. I have the dataset below for which I generated a graph bar. How can I make variable percap_total2 have its legends (both in the x-axis and value labels) in bold? Basically I would like only "Brasil" and its value to be in bold.

* Example generated by -dataex-. To install ssc install dataex
clear
input int(percap_total1 percap_total2) float(percap_total3 percap_total4 percap_total5 percap_total6 percap_total7 percap_total8 percap_total9 percap_total10) str33 loc_port
1457    .        .        .         .        .        .         .       .         . "Argentina"                        
4400    .        .        .         .        .        .         .       .         . "Austrália"                       
5183    .        .        .         .        .        .         .       .         . "Áustria"                         
4939    .        .        .         .        .        .         .       .         . "Bélgica"                         
 450    .        .        .         .        .        .         .       .         . "Bolívia"                         
   . 1431        .        .         .        .        .         .       .         . "Brasil"                           
4921    .        .        .         .        .        .         .       .         . "Canadá"                          
1950    .        .        .         .        .        .         .       .         . "Chile"                            
 861    .        .        .         .        .        .         .       .         . "Colômbia"                        
1339    .        .        .         .        .        .         .       .         . "Costa Rica"                       
2534    .        .        .         .        .        .         .       .         . "República Checa"                 
5144    .        .        .         .        .        .         .       .         . "Dinamarca"                        
   .    .        .        . 1098.6072        .        .         .       .         . "Extremo Oriente e Pacífico"      
1028    .        .        .         .        .        .         .       .         . "Equador"                          
 598    .        .        .         .        .        .         .       .         . "El Salvador"                      
1946    .        .        .         .        .        .         .       .         . "Estônia"                         
   .    .        .        .         . 2798.714        .         .       .         . "Europa e Ásia Central"           
4101    .        .        .         .        .        .         .       .         . "Finlândia"                       
4741    .        .        .         .        .        .         .       .         . "França"                          
   .    .        . 5292.714         .        .        .         .       .         . "G7"                               
5532    .        .        .         .        .        .         .       .         . "Alemanha"                         
2352    .        .        .         .        .        .         .       .         . "Grécia"                          
 487    .        .        .         .        .        .         .       .         . "Guatemala"                        
 370    .        .        .         .        .        .         .       .         . "Honduras"                         
2031    .        .        .         .        .        .         .       .         . "Hungria"                          
4205    .        .        .         .        .        .         .       .         . "Islândia"                        
5371    .        .        .         .        .        .         .       .         . "Irlanda"                          
2560    .        .        .         .        .        .         .       .         . "Israel"                           
3445    .        .        .         .        .        .         .       .         . "Itália"                          
4286    .        .        .         .        .        .         .       .         . "Japão"                           
   .    .        .        .         .        . 948.9063         .       .         . "América Latina e Caribe"         
1683    .        .        .         .        .        .         .       .         . "Letônia"                         
6530    .        .        .         .        .        .         .       .         . "Luxemburgo"                       
1081    .        .        .         .        .        .         .       .         . "México"                          
   .    .        .        .         .        .        . 1419.9524       .         . "Oriente Médio e Norte da África"
5579    .        .        .         .        .        .         .       .         . "Países Baixos"                   
3648    .        .        .         .        .        .         .       .         . "Nova Zelândia"                   
 432    .        .        .         .        .        .         .       .         . "Nicarágua"                       
   .    .        .        .         .        .        .         .       .         . "América do Norte"                
7024    .        .        .         .        .        .         .       .         . "Noruega"                          
   .    . 3972.657        .         .        .        .         .       .         . "OCDE"                             
1588    .        .        .         .        .        .         .       .         . "Panamá"                          
 738    .        .        .         .        .        .         .       .         . "Paraguai"                         
 683    .        .        .         .        .        .         .       .         . "Peru"                             
1757    .        .        .         .        .        .         .       .         . "Polônia"                         
2712    .        .        .         .        .        .         .       .         . "Portugal"                         
2216    .        .        .         .        .        .         .       .         . "Eslováquia"                      
2806    .        .        .         .        .        .         .       .         . "Eslovênia"                       
   .    .        .        .         .        .        .         . 411.375         . "Sul da Asia"                      
2835    .        .        .         .        .        .         .       .         . "Coreia do Sul"                    
3363    .        .        .         .        .        .         .       .         . "Espanha"                          
   .    .        .        .         .        .        .         .       . 282.41666 "África Subsaariana"              
5550    .        .        .         .        .        .         .       .         . "Suécia"                          
7465    .        .        .         .        .        .         .       .         . "Suíça"                          
1029    .        .        .         .        .        .         .       .         . "Peru"                             
4285    .        .        .         .        .        .         .       .         . "Reino Unido"                      
9839    .        .        .         .        .        .         .       .         . "Estados Unidos"                   
2038    .        .        .         .        .        .         .       .         . "Uruguai"                          
 590    .        .        .         .        .        .         .       .         . "Venezuela"                        
end

Code generating the graph

program colorpalette_ieps
    c_local P #ffffff,#000000,#666666,#808080,#b3b3b3,#e6e6e6, ///
    #f4d26e,#ffc20e,#d76f2c,#be4345,#632956, ///
    #2f447d,#34679a,#2b7b6f,#97c471
    c_local I branco,preto,cinza_70,cinza_50,cinza_30,cinza_10, ///
    amarelo_claro,amarelo,laranja_escuro,vermelho,roxo, ///
    azul_escuro,azul,verde_azul,verde    
end

colorpalette ieps

grstyle init
grstyle set color ieps, select(5 8 3 3 2 2 2 2 2 2 2)

graph bar percap_total1 percap_total2 percap_total3 percap_total4 percap_total5 ///
percap_total6 percap_total7 percap_total8 percap_total9 percap_total10, nofill ///
over(loc_port, label(angle(90) labsize(small)) sort(percap_total) descending) ///
ytitle("") yscale(off) ylab(10400, nogrid) ///
blabel(total, orientation(vertical) size(small) format(%9.0f)) ///
ysize(9) xsize(18) graphregion(color(white)) legend(off) name(Fig3_PainelA,replace)

[Andrew Musau]

replace loc_port="{bf:Brasil}" if loc_port=="Brasil"

[Paula de Souza Leao Spinola]

Many thanks Andrew Musau! I would also like to have the number label above the bar in bold for Brasil (e.g. 1431 in the graph). How could I do so?

[Andrew Musau]

graph bar restricts what you can include as bar labels, so the solution would be to switch to twoway bar. However, there is an inefficient work-around that would involve first getting rid of the specific bar label and using the text option to insert your own. Below, I use Chinese characters to achieve the former, but you can look at a better way.

graph bar percap_total1 percap_total2 percap_total3 percap_total4 percap_total5 ///
percap_total6 percap_total7 percap_total8 percap_total9 percap_total10, nofill ///
over(loc_port, label(angle(90) labsize(small)) sort(percap_total) descending) ///
ytitle("") yscale(off) ylab(10400, nogrid) text(2700 4.3 "解解解解", size(small) ///
orient(vertical) color(white)) text(2750 4.3 "解解解解", size(small) orient(vertical) color(white)) ///
text(2450 4.3 "{bf:1431}",orient(vertical) size(small)) ///
blabel(total, orientation(vertical) size(small) format(%9.0f))  ///
ysize(9) xsize(18) graphregion(color(white)) legend(off) name(Fig3_PainelA,replace)

[Nick Cox]

Your graph seems to mix countries and regions quite arbitrarily. Vertical axis labels rarely improve readability as much as you hope. I would split the data and use horizontal bars. This is naturally nothing to do with your specific queries so far.