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add final reprt files, updated occupation data
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eam5 committed Oct 16, 2024
1 parent f7b4c43 commit c3b76e0
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1,528 changes: 1,528 additions & 0 deletions OrangeDot6_files/final_report/orange-dot-6-final-knit.Rmd

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722 changes: 361 additions & 361 deletions OrangeDot6_files/microdata/data/occupations_by_wagebin.csv

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10 changes: 7 additions & 3 deletions OrangeDot6_files/microdata/scripts/data_prep_bls.R
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# https://data.bls.gov/oes/#/geoOcc/Multiple%20occupations%20for%20one%20geographical%20area

# Setup ----
library(here)
library(tidyverse)
library(readxl)
library(janitor)

# Set WD
setwd(here("OrangeDot6_files"))

# Data ----
bls <- read_excel("downloads/OES_Report.xlsx", skip = 5) %>%
bls <- read_excel("data/tempdata/OES_Report.xlsx", skip = 5) %>%
clean_names()

# Prep ----
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# To generate tables of occupations and median wages by median wage bin
occupation_wages <- bls_occ %>%
arrange(annual_median_wage_2) %>%
select(occupation, annual_median_wage_2, employment_per_1_000_jobs, median_wage_bin, median_wage_bin_label)
mutate(soc_group_num = substr(soc_code, start=1, stop=2)) %>%
select(occupation, annual_median_wage_2, employment_per_1_000_jobs, median_wage_bin, median_wage_bin_label, soc_code, soc_group_num)

write_csv(occupation_wages, file = "data/occupations_by_wagebin.csv")
write_csv(occupation_wages, file = "microdata/data/occupations_by_wagebin.csv")


# Save ----
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233 changes: 210 additions & 23 deletions OrangeDot6_files/visuals/visuals-microdata.Rmd

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1,211 changes: 1,207 additions & 4 deletions OrangeDot6_files/visuals/visuals-microdata.html

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