import pandas as pd
= pd.read_csv('./file/all-ages.csv')
df df
Major_code | Major | Major_category | Total | Employed | Employed_full_time_year_round | Unemployed | Unemployment_rate | Median | P25th | P75th | |
---|---|---|---|---|---|---|---|---|---|---|---|
0 | 1100 | GENERAL AGRICULTURE | Agriculture & Natural Resources | 128148 | 90245 | 74078 | 2423 | 0.026147 | 50000 | 34000 | 80000.0 |
1 | 1101 | AGRICULTURE PRODUCTION AND MANAGEMENT | Agriculture & Natural Resources | 95326 | 76865 | 64240 | 2266 | 0.028636 | 54000 | 36000 | 80000.0 |
2 | 1102 | AGRICULTURAL ECONOMICS | Agriculture & Natural Resources | 33955 | 26321 | 22810 | 821 | 0.030248 | 63000 | 40000 | 98000.0 |
3 | 1103 | ANIMAL SCIENCES | Agriculture & Natural Resources | 103549 | 81177 | 64937 | 3619 | 0.042679 | 46000 | 30000 | 72000.0 |
4 | 1104 | FOOD SCIENCE | Agriculture & Natural Resources | 24280 | 17281 | 12722 | 894 | 0.049188 | 62000 | 38500 | 90000.0 |
... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
168 | 6211 | HOSPITALITY MANAGEMENT | Business | 200854 | 163393 | 122499 | 8862 | 0.051447 | 49000 | 33000 | 70000.0 |
169 | 6212 | MANAGEMENT INFORMATION SYSTEMS AND STATISTICS | Business | 156673 | 134478 | 118249 | 6186 | 0.043977 | 72000 | 50000 | 100000.0 |
170 | 6299 | MISCELLANEOUS BUSINESS & MEDICAL ADMINISTRATION | Business | 102753 | 77471 | 61603 | 4308 | 0.052679 | 53000 | 36000 | 83000.0 |
171 | 6402 | HISTORY | Humanities & Liberal Arts | 712509 | 478416 | 354163 | 33725 | 0.065851 | 50000 | 35000 | 80000.0 |
172 | 6403 | UNITED STATES HISTORY | Humanities & Liberal Arts | 17746 | 11887 | 8204 | 943 | 0.073500 | 50000 | 39000 | 81000.0 |
173 rows × 11 columns