# A tibble: 2,019 × 11
   year  occupation   major_category minor_category total_workers percent_female
   <fct> <fct>        <fct>          <fct>                  <int>          <dbl>
 1 2013  Chief execu… Management, B… Management           1024259           23.6
 2 2013  General and… Management, B… Management            977284           30.3
 3 2013  Legislators  Management, B… Management             14815           43.5
 4 2013  Advertising… Management, B… Management             43015           58.7
 5 2013  Marketing a… Management, B… Management            754514           41.7
 6 2013  Public rela… Management, B… Management             44198           63.5
 7 2013  Administrat… Management, B… Management            109703           33.6
 8 2013  Computer an… Management, B… Management            489048           27.5
 9 2013  Financial m… Management, B… Management            990611           53.5
10 2013  Compensatio… Management, B… Management             14656           76.9
# ℹ 2,009 more rows
# ℹ 5 more variables: total_earnings <int>, total_earnings_male <int>,
#   total_earnings_female <int>, male <int>, female <int>

Row

Chart A

Row

Chart B

Chart C