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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