Hello,
I have a dataset with several countries and I want to create a graph matrix (graph matrix weekly_count_cases yearweek) for some of the countries (Portugal, Spain, Italy and France.
Can you help me with the command to create a graph matrix for only a subset of countries?
Thank you in advance
I have a dataset with several countries and I want to create a graph matrix (graph matrix weekly_count_cases yearweek) for some of the countries (Portugal, Spain, Italy and France.
Can you help me with the command to create a graph matrix for only a subset of countries?
Thank you in advance
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input str33 country long country_ float yearweek double weekly_count_cases float list_EU_US "Afghanistan" 1 3122 0 2 "Afghanistan" 1 3123 0 2 "Afghanistan" 1 3124 0 2 "Afghanistan" 1 3125 0 2 "Afghanistan" 1 3126 0 2 "Afghanistan" 1 3127 0 2 "Afghanistan" 1 3128 1 2 "Afghanistan" 1 3129 3 2 "Afghanistan" 1 3130 12 2 "Afghanistan" 1 3131 18 2 "Afghanistan" 1 3132 80 2 "Afghanistan" 1 3133 185 2 "Afghanistan" 1 3134 308 2 "Afghanistan" 1 3135 389 2 "Afghanistan" 1 3136 535 2 "Afghanistan" 1 3137 1173 2 "Afghanistan" 1 3138 1698 2 "Afghanistan" 1 3139 2262 2 "Afghanistan" 1 3140 3918 2 "Afghanistan" 1 3141 4623 2 "Afghanistan" 1 3142 5137 2 "Afghanistan" 1 3143 4424 2 "Afghanistan" 1 3144 4067 2 "Afghanistan" 1 3145 2134 2 "Afghanistan" 1 3146 1984 2 "Afghanistan" 1 3147 1500 2 "Afghanistan" 1 3148 1024 2 "Afghanistan" 1 3149 788 2 "Afghanistan" 1 3150 447 2 "Afghanistan" 1 3151 344 2 "Afghanistan" 1 3152 542 2 "Afghanistan" 1 3153 403 2 "Afghanistan" 1 3154 163 2 "Afghanistan" 1 3155 236 2 "Afghanistan" 1 3156 318 2 "Afghanistan" 1 3157 328 2 "Afghanistan" 1 3158 183 2 "Afghanistan" 1 3159 114 2 "Afghanistan" 1 3160 458 2 "Afghanistan" 1 3161 401 2 "Afghanistan" 1 3162 633 2 "Afghanistan" 1 3163 800 2 "Afghanistan" 1 3164 606 2 "Afghanistan" 1 3165 1164 2 "Afghanistan" 1 3166 1368 2 "Afghanistan" 1 3167 1073 2 "Afghanistan" 1 3168 1672 2 "Afghanistan" 1 3169 1757 2 "Afghanistan" 1 3170 740 2 "Afghanistan" 1 3171 1994 2 "Africa (total)" 2 3122 0 2 "Africa (total)" 2 3123 0 2 "Africa (total)" 2 3124 0 2 "Africa (total)" 2 3125 0 2 "Africa (total)" 2 3126 1 2 "Africa (total)" 2 3127 0 2 "Africa (total)" 2 3128 5 2 "Africa (total)" 2 3129 69 2 "Africa (total)" 2 3130 248 2 "Africa (total)" 2 3131 1066 2 "Africa (total)" 2 3132 3240 2 "Africa (total)" 2 3133 4546 2 "Africa (total)" 2 3134 5347 2 "Africa (total)" 2 3135 7781 2 "Africa (total)" 2 3136 9445 2 "Africa (total)" 2 3137 12687 2 "Africa (total)" 2 3138 18956 2 "Africa (total)" 2 3139 21425 2 "Africa (total)" 2 3140 27093 2 "Africa (total)" 2 3141 35087 2 "Africa (total)" 2 3142 42602 2 "Africa (total)" 2 3143 53527 2 "Africa (total)" 2 3144 62942 2 "Africa (total)" 2 3145 76663 2 "Africa (total)" 2 3146 95341 2 "Africa (total)" 2 3147 117490 2 "Africa (total)" 2 3148 126318 2 "Africa (total)" 2 3149 125799 2 "Africa (total)" 2 3150 110152 2 "Africa (total)" 2 3151 90991 2 "Africa (total)" 2 3152 70758 2 "Africa (total)" 2 3153 68608 2 "Africa (total)" 2 3154 57998 2 "Africa (total)" 2 3155 53958 2 "Africa (total)" 2 3156 53884 2 "Africa (total)" 2 3157 54413 2 "Africa (total)" 2 3158 52596 2 "Africa (total)" 2 3159 55870 2 "Africa (total)" 2 3160 62404 2 "Africa (total)" 2 3161 67552 2 "Africa (total)" 2 3162 72041 2 "Africa (total)" 2 3163 77845 2 "Africa (total)" 2 3164 86811 2 "Africa (total)" 2 3165 92722 2 "Africa (total)" 2 3166 90435 2 "Africa (total)" 2 3167 97447 2 "Africa (total)" 2 3168 98997 2 "Africa (total)" 2 3169 117838 2 "Africa (total)" 2 3170 130951 2 "Africa (total)" 2 3171 162438 2 end format %tw yearweek label values country_ country_ label def country_ 1 "Afghanistan", modify label def country_ 2 "Africa (total)", modify
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