The purpose of this package is to access the United States Census Bureau's Quarterly Workforce Indicator data. Additionally, the data will be retrieved in a tidy format for further manipulation with full variable descriptions added if desired. Information about the United States Census Bureau's Quarterly Workforce Indicator is available at < https://www.census.gov/data/developers/data-sets/qwi.html>.
The goal of tidyqwi is to make accessing the US Census Bureau’s Quarterly Workforce Indicators easier in a tidy format. This package allows a user to specify the years and states of interest as well as some of the additional parameters (desired cross tabs, MSA vs county level data, firm size, etc) and submit them to the US Census API. This package then stays within the US Census guidelines for API submission for this data and returns a combined tidy dataframe for future analysis.
This is a work in progress!
devtools::install_github("medewitt/tidyqwi")
After installation you can load and retrieve the desired data!
library(tidyqwi)nc_qwi <- get_qwi(years = "2010",states = "11",geography = "county",apikey = census_key,quiet = TRUE, endpoint = "rh",variables = c("sEmp", "Emp"), all_groups = FALSE,industry_level = "2", processing = "multiprocess")
And look at your data:
head(nc_qwi)#> # A tibble: 6 x 12#> year quarter agegrp sex ownercode seasonadj industry state county#> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>#> 1 2010 1 A00 0 A00 U 11 37 001#> 2 2010 1 A00 0 A00 U 11 37 003#> 3 2010 1 A00 0 A00 U 11 37 005#> 4 2010 1 A00 0 A00 U 11 37 007#> 5 2010 1 A00 0 A00 U 11 37 009#> 6 2010 1 A00 0 A00 U 11 37 011#> # ... with 3 more variables: Emp <chr>, sEmp <chr>, year_time <date>
And there are labels added if desired
labelled_nc <- add_qwi_labels(nc_qwi)
Hmisc::describe(labelled_nc$Emp)#> labelled_nc$Emp : Beginning-of-Quarter Employment: Counts#> n missing distinct Info Mean Gmd .05 .10#> 7345 411 2851 1 2018 3129 24 40#> .25 .50 .75 .90 .95#> 132 448 1550 4355 8099#>#> lowest : 0 1 3 4 5, highest: 65243 81884 82723 84038 84674
library(ggplot2)library(dplyr)#>#> Attaching package: 'dplyr'#> The following objects are masked from 'package:stats':#>#> filter, lag#> The following objects are masked from 'package:base':#>#> intersect, setdiff, setequal, unionlabelled_nc %>%filter(county == "067") %>%ggplot(aes(year_time, Emp, color = county))+geom_line()+scale_y_log10()+facet_wrap(~industry)+labs(title = "Quarterly Workforce Indicators for Forsyth County",subtitle = attributes(labelled_nc$Emp)$label,caption = "Data: US Census Bureau QWI")+theme_minimal()
Please note that the ‘tidyqwi’ project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.