- use chinadb,clear
- #delimit;
- spmap sex using chinacoord, id(id)
- label(label(name) xcoord(x_coord) ycoord(y_coord) size(*0.8))
- fcolor("68 1 84" "65 68 135" "42 120 142" "34 168 132" "122 209 81" "253 231 37")
- ocolor("white" ...)
- clmethod(custom) clbreaks(0 1 105.83 106.94 107.33 109 114)
- ti(第七次全国人口普查男女性别比, color(white))
- graphr(margin(medium))
- osize(vthin ...)
- legend(size(*1.3)
- order(3 "<105.83" 4 "(105.83,106.94]" 5 "(106.94,107.33]" 6 "(107.33,109]" 7 ">109")
- ti(性别比, size(*0.5) pos(11) color(white)) color(white))
- plotr(fcolor(24 24 24) lcolor(24 24 24))
- graphr(fcolor(24 24 24) lcolor(24 24 24))
- note("数据来源:中国新闻网 http://www.mnw.cn/",color(white) size(*0.8));
- #d ;
- gr export sex.pdf,replace
排名前四位的是广东、海南、浙江、西藏
我们再来看一下全国各省市总人口排名吧!
- #delimit;
- spmap population using chinacoord, id(id)
- label(label(name) xcoord(x_coord) ycoord(y_coord) size(*0.8))
- fcolor("68 1 84" "65 68 135" "42 120 142" "34 168 132" "122 209 81" "253 231 37")
- ocolor("white" ...)
- clmethod(custom) clbreaks(0 1500 3000 4500 6500 8500 11500 13000)
- ti(第七次全国人口普查各省人口分布, size(*1.2) color(white))
- subti("国家统计局5月11日发布",color(white))
- graphr(margin(medium))
- osize(vthin ...)
- legend(size(*1.3)
- order(2 "<1500" 3 "1500~3000" 4 "3000~4500" 5 "4500~6500" 6 "6500~8500" 7 "8500~11500" 8 ">13000")
- ti(各省总人口(单位:万人), size(*0.5) pos(11) color(white)) color(white))
- plotr(fcolor(24 24 24) lcolor(24 24 24))
- graphr(fcolor(24 24 24) lcolor(24 24 24))
- note("数据来源:中国新闻网 2021-05-11 11:34" ,color(white) size(*0.8));
- #d cr
- gr export pop.pdf,replace