Hello,
I have created a variable for the hourly wages of workers. I would like to see the distribution because there may be observation with very low and very high hourly wages, which should me removed from the analysis. However, creating a histogram, , it looks like the attached picture. But the interesting part of hourly wages are from 0-350$, which I dont see in my graph. I tried also the x scale properties and extend the range scale, but looks similar to the attached file with x axis in 1000 interval. Is there a way to change the x axis interval to 1? This may solve my problem.
I have created a variable for the hourly wages of workers. I would like to see the distribution because there may be observation with very low and very high hourly wages, which should me removed from the analysis. However, creating a histogram, , it looks like the attached picture. But the interesting part of hourly wages are from 0-350$, which I dont see in my graph. I tried also the x scale properties and extend the range scale, but looks similar to the attached file with x axis in 1000 interval. Is there a way to change the x axis interval to 1? This may solve my problem.
Code:
sum hourlyw
Variable Obs Mean Std. Dev. Min Max
hourlyw 32,641 47.42683 46.65561 .000641 3585.942
Code:
* Example generated by -dataex-. To install: ssc install dataex
clear
input float hourlyw
27.382326
19.444445
6.452594
19.358974
16.962912
38.67308
24.278847
25
10.650887
24.725275
5.769231
26.785715
10.833333
16.783216
15.75
18.559067
13.391026
14.880953
33.115383
18
9.499519
15.2
21.46207
19.826923
17
11.45105
19.5
27.439024
11.461538
25.555555
24.085365
41.66667
19.23769
4.944597
25.471153
12.666667
17.0625
20.58371
42.45513
19.026735
13.75
24.7
27.63187
25.989714
18.294872
19.133173
23.296904
24.452595
4.614469
25.634615
24.33894
25.96154
20.348837
26.91135
22.156355
23.195885
24.725275
23.033653
21.95122
25.59524
9.958791
27.906977
26.875
23.076923
9.997954
26.16279
31.153847
24.725275
12.820513
18
23.359375
22.2561
23.38034
25
17.189903
21.634615
25
29.761906
6.732646
42.33013
23.809525
23.809525
26.27976
25
19.792734
33
23.70304
38
15.835577
25.32833
28.22024
23.303846
21.39231
24.40476
17.742674
18.75
13.736263
26.59475
28.125
7.678571
22.5
24.197674
24.107143
77.17308
20.91987
22.781673
20.833334
34.641182
18.772894
30.57548
24.90077
24.107143
7.933894
28.52427
19.19423
17
25.59524
89.12981
22.15909
27.083334
22.32143
9.774038
19.23077
23
22.89377
23.75
15.279305
24.089893
29.375
23.809525
21.234615
26.59475
23.214285
18.793707
28.3328
5.952381
17.17033
17.17033
20
29.48031
21.354166
25.641026
24.23077
24.390244
25
20.166666
24.6641
25
14.57784
26.785715
19.320215
45.33974
20.46795
40.85096
21.815475
27.083076
21.11111
24.33894
20.19231
12.820513
30.53663
23.809525
21.09375
18.541666
17.33371
27.472527
14.343077
23.076923
30.02102
27.60373
28.063187
23.333334
25.59524
24.03846
20.454546
22.32143
15
19.642857
17.948717
22.557245
10.1
36
24.2674
23.809525
14.78547
30
29.026556
116.66666
24.99701
21.42857
28.56058
12.551282
22.61905
19.857143
23.573717
21.910715
24.375
29.761906
18.112701
18
4.5888276
21.10943
23.255814
31.177404
19.166666
32.5
31
27.908653
16.694445
23.585096
23.428705
28.125
25
20.84397
26.25
31
17.647058
17.772116
29.692766
25.00262
77.28846
23.75
57.65128
32
20.604395
25.576923
24
25.59524
25.44231
25.390625
29.814903
25.609756
25.89872
19.56619
20.87912
23.809525
17.622377
22.89377
18.333334
26.041666
32.307693
23.07143
24.169325
27.7125
22.093023
29.0522
26.309067
27.020193
28
68.5601
26.57967
32.5
5.506993
21.940704
23.95171
20.535715
25
19.64469
26.964285
42.1978
24.51923
20.009
25.59524
22.22222
17.695192
27.439024
27.259615
24.725275
20.85225
34.615383
18.1337
29.25
25
27.220695
22.61905
23.809525
24.03846
21.667307
20.87912
19.23077
15.384615
25.96154
167.07034
25
25
26.190475
12.69952
15.384615
26.31579
22.06731
26.16279
28.846153
27.38095
18.539803
26.610577
22.01346
25
22.38372
23.07097
27.97619
end
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