请教STATA如何分组做散点图？

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请教下大家。如下面的数据所示，第一列是国家，第二列是年份，第三列是死亡率。我想画一张散点图（以及加上fitted line)，y轴是死亡率，x轴是年份，每条fitted line是一个国家，也就是这张图对比各国每年的死亡率。
twoway (scatter infant_mortality cohort, by(country))做出来的的是多图（每个国家一张），我想做一张图，不同颜色标记不同的国家。

input str241 country float(cohort infant_mortality)
"Albania"    1963 .12964821
"Albania"    1961 .11756945
"Albania"    1959 .17251062
"Albania"    1962  .1804266
"Albania"    1960 .16824675
"Armenia"    1963 .12446976
"Armenia"    1954 .16591215
"Armenia"    1957 .14935613
"Armenia"    1959 .21624994
"Armenia"    1960  .1514981
"Armenia"    1956   .244179
"Armenia"    1958 .14389873
"Armenia"    1951 .20835567
"Armenia"    1965 .13090563
"Armenia"    1962 .16911244
"Armenia"    1953  .3071585
"Armenia"    1961 .12235165
"Armenia"    1964 .12826705
"Armenia"    1952  .2609403
"Armenia"    1955 .27262306
"Azerbaijan" 1958  .4147317
"Azerbaijan" 1957 .29798102
"Azerbaijan" 1959  .3439572
"Azerbaijan" 1961   .177675
"Azerbaijan" 1956 .51560235
"Azerbaijan" 1960 .20896506
"Bangladesh" 1961  .7728097
"Bangladesh" 1968  .5373411
"Bangladesh" 1966  .5955024
"Bangladesh" 1948 1.4682517
"Bangladesh" 1929 2.1323013
"Bangladesh" 1969 .53458095
"Bangladesh" 1930    2.3631
"Bangladesh" 1928 2.0900908
"Bangladesh" 1955 1.3169818
"Bangladesh" 1946  1.680828
"Bangladesh" 1926    1.8872
"Bangladesh" 1950 1.2614527
"Bangladesh" 1954 1.2759485
"Bangladesh" 1965  .6672041
"Bangladesh" 1967  .6280594
"Bangladesh" 1960  .7658887
"Bangladesh" 1958  .9772873
"Bangladesh" 1952 1.2099605
"Bangladesh" 1964  .6918044
"Bangladesh" 1944 2.0431647
"Bangladesh" 1956 1.1372423
"Bangladesh" 1945 1.8511453
"Bangladesh" 1963  .8101509
"Bangladesh" 1959 1.0311894
"Bangladesh" 1962  .8908584
"Bangladesh" 1949 1.3301382
"Bangladesh" 1947 1.4293647
"Bangladesh" 1927  1.824046
"Bangladesh" 1953  1.252165
"Bangladesh" 1951 1.3276463
"Bangladesh" 1957 1.0679879
"Benin"      1947  2.259152
"Benin"      1960 1.3150716
"Benin"      1961 1.3716106
"Benin"      1966  .6087108
"Benin"      1933     2.375
"Benin"      1957 1.5701957
"Benin"      1963  .6132221
"Benin"      1953 1.5204005
"Benin"      1949 2.0563455
"Benin"      1951 1.7583046
"Benin"      1946 2.4002166
"Benin"      1955   1.37862
"Benin"      1967  .9986115
"Benin"      1950 1.7812805
"Benin"      1964  .4052391
"Benin"      1936  1.631579
"Benin"      1952  1.405878
"Benin"      1965  .4805155
"Benin"      1954 2.1485138
"Benin"      1956 1.7820315
"Benin"      1958 1.4078722
"Benin"      1935      2.15
"Benin"      1959 1.3197508
"Benin"      1934 2.0784316
"Benin"      1962  .6280737
"Benin"      1948 2.2505536
"Bolivia"    1947 1.0142474
"Bolivia"    1954  1.065258
"Bolivia"    1949  .9119773
"Bolivia"    1960   .818656
"Bolivia"    1958  .8224878
"Bolivia"    1963  .9411321

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关键词：900908 002166 死亡率 一张图 散点图

请先 ssc install sepscatter，然后试试

1. sepscatter infant_mortality cohort, separate(country)

复制代码

黃河泉 发表于 2018-12-4 08:04
请先 ssc install sepscatter，然后试试

成功！超级感谢~~~~

iceyseethesea 发表于 2018-12-4 10:27
成功！超级感谢~~~~

Great to hear that.

最好是学会用stata自带命令作图

1. clear
   
2. input str241 country float(cohort infant_mortality)
   
3. "Albania"    1963 .12964821
   
4. "Albania"    1961 .11756945
   
5. "Albania"    1959 .17251062
   
6. "Albania"    1962  .1804266
   
7. "Albania"    1960 .16824675
   
8. "Armenia"    1963 .12446976
   
9. "Armenia"    1954 .16591215
   
10. "Armenia"    1957 .14935613
    
11. "Armenia"    1959 .21624994
    
12. "Armenia"    1960  .1514981
    
13. "Armenia"    1956   .244179
    
14. "Armenia"    1958 .14389873
    
15. "Armenia"    1951 .20835567
    
16. "Armenia"    1965 .13090563
    
17. "Armenia"    1962 .16911244
    
18. "Armenia"    1953  .3071585
    
19. "Armenia"    1961 .12235165
    
20. "Armenia"    1964 .12826705
    
21. "Armenia"    1952  .2609403
    
22. "Armenia"    1955 .27262306
    
23. "Azerbaijan" 1958  .4147317
    
24. "Azerbaijan" 1957 .29798102
    
25. "Azerbaijan" 1959  .3439572
    
26. "Azerbaijan" 1961   .177675
    
27. "Azerbaijan" 1956 .51560235
    
28. "Azerbaijan" 1960 .20896506
    
29. "Bangladesh" 1961  .7728097
    
30. "Bangladesh" 1968  .5373411
    
31. "Bangladesh" 1966  .5955024
    
32. "Bangladesh" 1948 1.4682517
    
33. "Bangladesh" 1929 2.1323013
    
34. "Bangladesh" 1969 .53458095
    
35. "Bangladesh" 1930    2.3631
    
36. "Bangladesh" 1928 2.0900908
    
37. "Bangladesh" 1955 1.3169818
    
38. "Bangladesh" 1946  1.680828
    
39. "Bangladesh" 1926    1.8872
    
40. "Bangladesh" 1950 1.2614527
    
41. "Bangladesh" 1954 1.2759485
    
42. "Bangladesh" 1965  .6672041
    
43. "Bangladesh" 1967  .6280594
    
44. "Bangladesh" 1960  .7658887
    
45. "Bangladesh" 1958  .9772873
    
46. "Bangladesh" 1952 1.2099605
    
47. "Bangladesh" 1964  .6918044
    
48. "Bangladesh" 1944 2.0431647
    
49. "Bangladesh" 1956 1.1372423
    
50. "Bangladesh" 1945 1.8511453
    
51. "Bangladesh" 1963  .8101509
    
52. "Bangladesh" 1959 1.0311894
    
53. "Bangladesh" 1962  .8908584
    
54. "Bangladesh" 1949 1.3301382
    
55. "Bangladesh" 1947 1.4293647
    
56. "Bangladesh" 1927  1.824046
    
57. "Bangladesh" 1953  1.252165
    
58. "Bangladesh" 1951 1.3276463
    
59. "Bangladesh" 1957 1.0679879
    
60. "Benin"      1947  2.259152
    
61. "Benin"      1960 1.3150716
    
62. "Benin"      1961 1.3716106
    
63. "Benin"      1966  .6087108
    
64. "Benin"      1933     2.375
    
65. "Benin"      1957 1.5701957
    
66. "Benin"      1963  .6132221
    
67. "Benin"      1953 1.5204005
    
68. "Benin"      1949 2.0563455
    
69. "Benin"      1951 1.7583046
    
70. "Benin"      1946 2.4002166
    
71. "Benin"      1955   1.37862
    
72. "Benin"      1967  .9986115
    
73. "Benin"      1950 1.7812805
    
74. "Benin"      1964  .4052391
    
75. "Benin"      1936  1.631579
    
76. "Benin"      1952  1.405878
    
77. "Benin"      1965  .4805155
    
78. "Benin"      1954 2.1485138
    
79. "Benin"      1956 1.7820315
    
80. "Benin"      1958 1.4078722
    
81. "Benin"      1935      2.15
    
82. "Benin"      1959 1.3197508
    
83. "Benin"      1934 2.0784316
    
84. "Benin"      1962  .6280737
    
85. "Benin"      1948 2.2505536
    
86. "Bolivia"    1947 1.0142474
    
87. "Bolivia"    1954  1.065258
    
88. "Bolivia"    1949  .9119773
    
89. "Bolivia"    1960   .818656
    
90. "Bolivia"    1958  .8224878
    
91. "Bolivia"    1963  .9411321
    
92. end
    
93. 
    
94. reshape wide infant_mortality,i(cohort) j(country) str
    
95. rename infant_mortality* *
    
96. 
    
97. 
    
98. twoway (scatter Albania    cohort , msymbol(T) )   ///
    
99.        (scatter Armenia    cohort , msymbol(diamond))   ///
    
100.            (scatter Azerbaijan cohort , msymbol(circle))   ///
     
101.            (scatter Bangladesh cohort , msymbol(Oh))   ///
     
102.            (scatter Benin      cohort , msymbol(square_hollow))   ///
     
103.            (scatter Bolivia    cohort , msymbol(circle_hollow))  ///
     
104.            (lfit    Albania    cohort )   ///
     
105.        (lfit    Armenia    cohort )   ///
     
106.            (lfit    Azerbaijan cohort )   ///
     
107.            (lfit    Bangladesh cohort )   ///
     
108.            (lfit    Benin      cohort )   ///
     
109.            (lfit    Bolivia    cohort ) , ///
     
110.             legend( order(1 "Albania" 2 "Armenia"  3 "Azerbaijan"  ///
     
111.                               4 "Bangladesh" 5 "Benin" 6 "Bolivia")    ///
     
112.                                 cols(3) size(small))

复制代码

谢谢您，不过图做出来之后有点小，怎么调比较好呢，右侧有巨大边框，还有怎么连线呢

黃河泉 发表于 2018-12-4 08:04
请先 ssc install sepscatter，然后试试

您好，请问如何在这个基础上，加上每个省的拟合线？

黃河泉 发表于 2018-12-4 08:04
请先 ssc install sepscatter，然后试试

您好，请问如何在这个基础上，加上每个省的拟合线？

夏美丽 发表于 2019-1-14 16:11
您好，请问如何在这个基础上，加上每个省的拟合线？

你若要问程序，永远附上相关资料；若附上资料，永远用 dataex 印出资料。
1.        先 ssc install dataex (并见说明)，将原始 Stata 资料中具有”代表性”的一部分资料列出，以供有意回答者实验之用，并能提供具体操作指令。
2.        并请参考 http://www.jianshu.com/p/9870080fe769,  https://bbs.pinggu.org/thread-5048204-1-1.html, 与 https://bbs.pinggu.org/thread-5917273-1-1.html。

画出来的图是在一张上面，怎样能分开成多个图吗？