I have an issue with graphs in Stata. I want to put all the tendency line of the data of my reserach, which are bellow, in an unique graph.
-
Login or Register
- Log in with
* Example generated by -dataex-. For more info, type help dataex clear input byte Code str39 Region double Percentagechange int Year 1 "Água Boa" . 1980 2 "Alta Floresta" . 1980 3 "Barra do Garças" -.06008510752105902 1980 4 "Cáceres" -.08384806992411481 1980 5 "Confresa - Vila Rica" .05225044448665927 1980 6 "Cuiabá" -.08689778237161118 1980 7 "Diamantino" .04691419297464471 1980 8 "Jaciara" -.17229414843544852 1980 9 "Juara" -.08065178778284039 1980 10 "Juína" .38379742500130193 1980 11 "Mirassol D'oeste" . 1980 12 "Peixoto de Azevedo - Guarantã do Norte" . 1980 13 "Pontes e Lacerda - Comodoro" -.12234473480917159 1980 14 "Primavera do Leste" -.08496689314864081 1980 15 "Rondonópolis" -.12482553388779954 1980 16 "Sinop" . 1980 17 "Sorriso" . 1980 18 "Tangará da Serra" -.08398190431372582 1980 1 "Água Boa" -.15438843498130037 1991 2 "Alta Floresta" -.2535786365064404 1991 3 "Barra do Garças" -.24329282959597795 1991 4 "Cáceres" -.2050421567524351 1991 5 "Confresa - Vila Rica" -.0412444967170531 1991 6 "Cuiabá" -.16366963545126606 1991 7 "Diamantino" -.16674446045025912 1991 8 "Jaciara" -.2755455462479105 1991 9 "Juara" -.24991556794145486 1991 10 "Juína" -.19421309259512587 1991 11 "Mirassol D'oeste" -.23398075580937858 1991 12 "Peixoto de Azevedo - Guarantã do Norte" . 1991 13 "Pontes e Lacerda - Comodoro" -.15415821718885336 1991 14 "Primavera do Leste" -.18816577844686214 1991 15 "Rondonópolis" -.21856573650387726 1991 16 "Sinop" -.22143647427565855 1991 17 "Sorriso" . 1991 18 "Tangará da Serra" -.28029639996767064 1991 1 "Água Boa" -.21824148889043815 2000 2 "Alta Floresta" -.15027494671646802 2000 3 "Barra do Garças" -.24835414248108242 2000 4 "Cáceres" -.2757744669997463 2000 5 "Confresa - Vila Rica" -.22232978972839942 2000 6 "Cuiabá" -.27376583045681907 2000 7 "Diamantino" -.21411434752552821 2000 8 "Jaciara" -.21780624155789619 2000 9 "Juara" -.17129220266557557 2000 10 "Juína" -.15330409835882527 2000 11 "Mirassol D'oeste" -.26882496693616487 2000 12 "Peixoto de Azevedo - Guarantã do Norte" -.04818560434568292 2000 13 "Pontes e Lacerda - Comodoro" -.22368534407553903 2000 14 "Primavera do Leste" -.2520019875713071 2000 15 "Rondonópolis" -.21829201138174692 2000 16 "Sinop" -.11910603631075121 2000 17 "Sorriso" -.12400748798609189 2000 18 "Tangará da Serra" -.16785354286232468 2000 1 "Água Boa" -.16420716062163168 2010 2 "Alta Floresta" -.2670525599533991 2010 3 "Barra do Garças" -.2424519746464306 2010 4 "Cáceres" -.22111143931739888 2010 5 "Confresa - Vila Rica" -.22955354827912486 2010 6 "Cuiabá" -.25680734354066626 2010 7 "Diamantino" -.2682841416379935 2010 8 "Jaciara" -.21204748365501713 2010 9 "Juara" -.2530283528756139 2010 10 "Juína" -.1971163351289026 2010 11 "Mirassol D'oeste" -.2492789793277667 2010 12 "Peixoto de Azevedo - Guarantã do Norte" -.30156952334714937 2010 13 "Pontes e Lacerda - Comodoro" -.21271704137818692 2010 14 "Primavera do Leste" -.2473932993887724 2010 15 "Rondonópolis" -.24515381366806735 2010 16 "Sinop" -.27407315215005146 2010 17 "Sorriso" -.28189874838400986 2010 18 "Tangará da Serra" -.2455601626309098 2010 1 "Água Boa" -.14983361049909322 2022 2 "Alta Floresta" -.17145092706861492 2022 3 "Barra do Garças" -.13389433689431263 2022 4 "Cáceres" -.17327143539599144 2022 5 "Confresa - Vila Rica" -.189163174498579 2022 6 "Cuiabá" -.10424710506207788 2022 7 "Diamantino" -.12931575158153444 2022 8 "Jaciara" -.10410922289232478 2022 9 "Juara" -.13776937620919136 2022 10 "Juína" -.208650707868511 2022 11 "Mirassol D'oeste" -.16652539900825755 2022 12 "Peixoto de Azevedo - Guarantã do Norte" -.13074995939714895 2022 13 "Pontes e Lacerda - Comodoro" -.16826278923382212 2022 14 "Primavera do Leste" -.07651861274148061 2022 15 "Rondonópolis" -.07137861930348906 2022 16 "Sinop" -.15844301006282394 2022 17 "Sorriso" -.05915563594073348 2022 18 "Tangará da Serra" -.1470847410009482 2022 end
* Example generated by -dataex-. For more info, type help dataex clear input byte Code str39 Region double Percentagechange int Year 1 "Água Boa" . 1980 2 "Alta Floresta" . 1980 3 "Barra do Garças" -.06008510752105902 1980 4 "Cáceres" -.08384806992411481 1980 5 "Confresa - Vila Rica" .05225044448665927 1980 6 "Cuiabá" -.08689778237161118 1980 7 "Diamantino" .04691419297464471 1980 8 "Jaciara" -.17229414843544852 1980 9 "Juara" -.08065178778284039 1980 10 "Juína" .38379742500130193 1980 11 "Mirassol D'oeste" . 1980 12 "Peixoto de Azevedo - Guarantã do Norte" . 1980 13 "Pontes e Lacerda - Comodoro" -.12234473480917159 1980 14 "Primavera do Leste" -.08496689314864081 1980 15 "Rondonópolis" -.12482553388779954 1980 16 "Sinop" . 1980 17 "Sorriso" . 1980 18 "Tangará da Serra" -.08398190431372582 1980 1 "Água Boa" -.15438843498130037 1991 2 "Alta Floresta" -.2535786365064404 1991 3 "Barra do Garças" -.24329282959597795 1991 4 "Cáceres" -.2050421567524351 1991 5 "Confresa - Vila Rica" -.0412444967170531 1991 6 "Cuiabá" -.16366963545126606 1991 7 "Diamantino" -.16674446045025912 1991 8 "Jaciara" -.2755455462479105 1991 9 "Juara" -.24991556794145486 1991 10 "Juína" -.19421309259512587 1991 11 "Mirassol D'oeste" -.23398075580937858 1991 12 "Peixoto de Azevedo - Guarantã do Norte" . 1991 13 "Pontes e Lacerda - Comodoro" -.15415821718885336 1991 14 "Primavera do Leste" -.18816577844686214 1991 15 "Rondonópolis" -.21856573650387726 1991 16 "Sinop" -.22143647427565855 1991 17 "Sorriso" . 1991 18 "Tangará da Serra" -.28029639996767064 1991 1 "Água Boa" -.21824148889043815 2000 2 "Alta Floresta" -.15027494671646802 2000 3 "Barra do Garças" -.24835414248108242 2000 4 "Cáceres" -.2757744669997463 2000 5 "Confresa - Vila Rica" -.22232978972839942 2000 6 "Cuiabá" -.27376583045681907 2000 7 "Diamantino" -.21411434752552821 2000 8 "Jaciara" -.21780624155789619 2000 9 "Juara" -.17129220266557557 2000 10 "Juína" -.15330409835882527 2000 11 "Mirassol D'oeste" -.26882496693616487 2000 12 "Peixoto de Azevedo - Guarantã do Norte" -.04818560434568292 2000 13 "Pontes e Lacerda - Comodoro" -.22368534407553903 2000 14 "Primavera do Leste" -.2520019875713071 2000 15 "Rondonópolis" -.21829201138174692 2000 16 "Sinop" -.11910603631075121 2000 17 "Sorriso" -.12400748798609189 2000 18 "Tangará da Serra" -.16785354286232468 2000 1 "Água Boa" -.16420716062163168 2010 2 "Alta Floresta" -.2670525599533991 2010 3 "Barra do Garças" -.2424519746464306 2010 4 "Cáceres" -.22111143931739888 2010 5 "Confresa - Vila Rica" -.22955354827912486 2010 6 "Cuiabá" -.25680734354066626 2010 7 "Diamantino" -.2682841416379935 2010 8 "Jaciara" -.21204748365501713 2010 9 "Juara" -.2530283528756139 2010 10 "Juína" -.1971163351289026 2010 11 "Mirassol D'oeste" -.2492789793277667 2010 12 "Peixoto de Azevedo - Guarantã do Norte" -.30156952334714937 2010 13 "Pontes e Lacerda - Comodoro" -.21271704137818692 2010 14 "Primavera do Leste" -.2473932993887724 2010 15 "Rondonópolis" -.24515381366806735 2010 16 "Sinop" -.27407315215005146 2010 17 "Sorriso" -.28189874838400986 2010 18 "Tangará da Serra" -.2455601626309098 2010 1 "Água Boa" -.14983361049909322 2022 2 "Alta Floresta" -.17145092706861492 2022 3 "Barra do Garças" -.13389433689431263 2022 4 "Cáceres" -.17327143539599144 2022 5 "Confresa - Vila Rica" -.189163174498579 2022 6 "Cuiabá" -.10424710506207788 2022 7 "Diamantino" -.12931575158153444 2022 8 "Jaciara" -.10410922289232478 2022 9 "Juara" -.13776937620919136 2022 10 "Juína" -.208650707868511 2022 11 "Mirassol D'oeste" -.16652539900825755 2022 12 "Peixoto de Azevedo - Guarantã do Norte" -.13074995939714895 2022 13 "Pontes e Lacerda - Comodoro" -.16826278923382212 2022 14 "Primavera do Leste" -.07651861274148061 2022 15 "Rondonópolis" -.07137861930348906 2022 16 "Sinop" -.15844301006282394 2022 17 "Sorriso" -.05915563594073348 2022 18 "Tangará da Serra" -.1470847410009482 2022 end gen Region2 = Region replace Region2 = trim(substr(Region2, 1, strpos(Region, " -") )) if strpos(Region, "-") myaxis Region3=Region2, sort(mean Percent) subset(Year == 2022) twoway connected Percentagechange Year , by(Region3, note("") compact col(3)) xtitle("") /// ysize(8)
fabplot connected Percentagechange Year , by(Region3, note("") compact col(3)) xtitle("") /// ysize(8) xla(1980 1991 2000 2010 2022, format(%tyYY))
Comment