Show CES Data Filtering Options
show_ces_options.RdDisplays a comprehensive overview of all filtering options available for the `get_ces()` function, including states, industries, and usage examples.
Examples
# See all filtering options
show_ces_options()
#> === BLS Current Employment Statistics (CES) Filtering Options ===
#>
#> AVAILABLE STATES (53 total):
#> AL, AK, AZ, AR, CA, CO, CT, DE, DC, FL
#> GA, HI, ID, IL, IN, IA, KS, KY, LA, ME
#> MD, MA, MI, MN, MS, MO, MT, NE, NV, NH
#> NJ, NM, NY, NC, ND, OH, OK, OR, PA, PR
#> RI, SC, SD, TN, TX, UT, VT, VA, VI, WA
#> WV, WI, WY
#>
#> AVAILABLE INDUSTRY FILTERS (24 total):
#> current_year : Recent data across all industries (2006-present)
#> total_nonfarm : Total non-farm employment (all industries, all years)
#> total_nonfarm_statewide : Total non-farm employment (statewide level)
#> total_private : Total private sector employment
#> goods_producing : Goods-producing industries
#> service_providing : Service-providing industries
#> private_service_providing: Private service-providing industries
#> mining_logging : Mining and logging
#> mining_logging_construction: Mining, logging, and construction
#> construction : Construction
#> manufacturing : Manufacturing
#> durable_goods : Durable goods manufacturing
#> nondurable_goods : Non-durable goods manufacturing
#> trade_trans_utilities : Trade, transportation, and utilities
#> wholesale_trade : Wholesale trade
#> retail_trade : Retail trade
#> trans_utilities : Transportation and utilities
#> information : Information services
#> financial_activities : Financial activities
#> prof_business_services : Professional and business services
#> edu_health_services : Education and health services
#> leisure_hospitality : Leisure and hospitality
#> other_services : Other services
#> government : Government
#> USAGE EXAMPLES:
#> # Specific states (all industries, all years)
#> ces_states <- get_ces(states = c('MA', 'NY', 'CT'))
#>
#> # Specific industry (all states, 2007-present)
#> ces_manufacturing <- get_ces(industry_filter = 'manufacturing')
#>
#> # Current year data (all states and industries, 2006-present)
#> ces_current <- get_ces(current_year_only = TRUE)
#>
#> # Complete dataset (all states, industries, and years - slowest)
#> ces_all <- get_ces()
#>
#> Performance: Filtering reduces download time by 50-90% vs. full dataset!
#> Note: Parameters are mutually exclusive - choose only one filtering option.