From 32a73a8dec42652e06aee4ae0faaa31a3b2a8f73 Mon Sep 17 00:00:00 2001 From: Nate Vogel Date: Wed, 24 Jun 2020 19:15:31 -0400 Subject: [PATCH] updated url of data website --- unemploymentDataProcessor.R | 53 +++++++++++++++++++------------------ 1 file changed, 27 insertions(+), 26 deletions(-) diff --git a/unemploymentDataProcessor.R b/unemploymentDataProcessor.R index f226c12..cab2d13 100644 --- a/unemploymentDataProcessor.R +++ b/unemploymentDataProcessor.R @@ -1,5 +1,5 @@ # Helper app to download and process data from the DOL website -# THe downloads can be found here: http://ows.doleta.gov/unemploy/DataDownloads.asp +# THe downloads can be found here: http://oui.doleta.gov/unemploy/DataDownloads.asp # For each download below, there is a data definition pdf that explains what each field is that is being sought library(RCurl) @@ -52,10 +52,10 @@ getMinYear <- function (df) { # get data on overpayments and process them getOverpayments <- function() { - ucOverpaymentsRegular <- downloadUCData("https://ows.doleta.gov/unemploy/csv/ar227.csv") #227 report - ucOverpaymentsEUC91 <- downloadUCData("https://ows.doleta.gov/unemploy/csv/ac227.csv") #227 report - ucOverpaymentsTEUC02 <- downloadUCData("https://ows.doleta.gov/unemploy/csv/at227.csv") #227 report - ucOverpaymentsEUC08 <- downloadUCData("https://ows.doleta.gov/unemploy/csv/au227.csv") #227 report + ucOverpaymentsRegular <- downloadUCData("https://oui.doleta.gov/unemploy/csv/ar227.csv") #227 report + ucOverpaymentsEUC91 <- downloadUCData("https://oui.doleta.gov/unemploy/csv/ac227.csv") #227 report + ucOverpaymentsTEUC02 <- downloadUCData("https://oui.doleta.gov/unemploy/csv/at227.csv") #227 report + ucOverpaymentsEUC08 <- downloadUCData("https://oui.doleta.gov/unemploy/csv/au227.csv") #227 report # just pull out the columns that we care about ucOverpaymentsRegular$regular_fraud_num <- ucOverpaymentsRegular$c1+ucOverpaymentsRegular$c2 @@ -236,11 +236,11 @@ getRecipiency <- function () bls_unemployed$unemployed_avg<- ave(bls_unemployed$total_unemployed, bls_unemployed$state, FUN = function(x) round(rollmean(x, k=12, align="right", na.pad=T),0)) - ucClaimsPaymentsRegular <- downloadUCData("https://ows.doleta.gov/unemploy/csv/ar5159.csv") #5159 report - ucClaimsPaymentsExtended <- downloadUCData("https://ows.doleta.gov/unemploy/csv/ae5159.csv") #5159 report - ucClaimsPaymentsEUC91 <- downloadUCData("https://ows.doleta.gov/unemploy/csv/ac5159.csv") #5159 report - ucClaimsPaymentsTEUC02 <- downloadUCData("https://ows.doleta.gov/unemploy/csv/at5159.csv") #5159 report - ucClaimsPaymentsEUC08 <- downloadUCData("https://ows.doleta.gov/unemploy/csv/au5159.csv") #5159 report + ucClaimsPaymentsRegular <- downloadUCData("https://oui.doleta.gov/unemploy/csv/ar5159.csv") #5159 report + ucClaimsPaymentsExtended <- downloadUCData("https://oui.doleta.gov/unemploy/csv/ae5159.csv") #5159 report + ucClaimsPaymentsEUC91 <- downloadUCData("https://oui.doleta.gov/unemploy/csv/ac5159.csv") #5159 report + ucClaimsPaymentsTEUC02 <- downloadUCData("https://oui.doleta.gov/unemploy/csv/at5159.csv") #5159 report + ucClaimsPaymentsEUC08 <- downloadUCData("https://oui.doleta.gov/unemploy/csv/au5159.csv") #5159 report # EUC data from the 80s isn't available on the DOL website, but DOL provided a copy of those claims ucClaimsPaymentsEUC80s <- read.csv("EUC-1982-1987-USDOLData.csv") @@ -309,11 +309,11 @@ getRecipiency <- function () # sort through the non monetary determinations to get information about separation and non-separation issues getNonMonetaryDeterminations <- function() { - ucNonMonetaryRegular <- downloadUCData("https://ows.doleta.gov/unemploy/csv/ar207.csv") #207 report - ucNonMonetaryExtended <- downloadUCData("https://ows.doleta.gov/unemploy/csv/ae207.csv") #207 report - ucNonMonetaryEUC91 <- downloadUCData("https://ows.doleta.gov/unemploy/csv/ac207.csv") #207 report - ucNonMonetaryTEUC02 <- downloadUCData("https://ows.doleta.gov/unemploy/csv/at207.csv") #207 report - ucNonMonetaryEUC08 <- downloadUCData("https://ows.doleta.gov/unemploy/csv/au207.csv") #207 report + ucNonMonetaryRegular <- downloadUCData("https://oui.doleta.gov/unemploy/csv/ar207.csv") #207 report + ucNonMonetaryExtended <- downloadUCData("https://oui.doleta.gov/unemploy/csv/ae207.csv") #207 report + ucNonMonetaryEUC91 <- downloadUCData("https://oui.doleta.gov/unemploy/csv/ac207.csv") #207 report + ucNonMonetaryTEUC02 <- downloadUCData("https://oui.doleta.gov/unemploy/csv/at207.csv") #207 report + ucNonMonetaryEUC08 <- downloadUCData("https://oui.doleta.gov/unemploy/csv/au207.csv") #207 report # name the columns that we care about for later code readability # EUC08 and TEUC appear to have the same structure as extended benefits, not euc91 @@ -414,19 +414,19 @@ getNonMonetaryDeterminations <- function() } -ucFirstTimePaymentLapse <- downloadUCData("https://ows.doleta.gov/unemploy/csv/ar9050.csv") # 9050 report +ucFirstTimePaymentLapse <- downloadUCData("https://oui.doleta.gov/unemploy/csv/ar9050.csv") # 9050 report -ucAppealsTimeLapseLower <- downloadUCData("https://ows.doleta.gov/unemploy/csv/ar9054l.csv") # 9054 report -ucAppealsTimeLapseHigher <- downloadUCData("https://ows.doleta.gov/unemploy/csv/ar9054h.csv") # 9054 report +ucAppealsTimeLapseLower <- downloadUCData("https://oui.doleta.gov/unemploy/csv/ar9054l.csv") # 9054 report +ucAppealsTimeLapseHigher <- downloadUCData("https://oui.doleta.gov/unemploy/csv/ar9054h.csv") # 9054 report -ucAppealsCaseAgingLower <- downloadUCData("https://ows.doleta.gov/unemploy/csv/ar9055l.csv") # 9055 report -ucAppealsCaseAgingHigher <- downloadUCData("https://ows.doleta.gov/unemploy/csv/ar9055h.csv") # 9055 report +ucAppealsCaseAgingLower <- downloadUCData("https://oui.doleta.gov/unemploy/csv/ar9055l.csv") # 9055 report +ucAppealsCaseAgingHigher <- downloadUCData("https://oui.doleta.gov/unemploy/csv/ar9055h.csv") # 9055 report -ucBenefitAppealsRegular <- downloadUCData("https://ows.doleta.gov/unemploy/csv/ar5130.csv") # 5130 report -ucBenefitAppealsExtended <- downloadUCData("https://ows.doleta.gov/unemploy/csv/ae5130.csv") # 5130 report -ucBenefitAppealsEUC91x94 <- downloadUCData("https://ows.doleta.gov/unemploy/csv/ac5130.csv") # 5130 report -ucBenefitAppealsEUC02x04 <- downloadUCData("https://ows.doleta.gov/unemploy/csv/at5130.csv") # 5130 report -ucBenefitAppealsEUC08x13 <- downloadUCData("https://ows.doleta.gov/unemploy/csv/au5130.csv") # 5130 report +ucBenefitAppealsRegular <- downloadUCData("https://oui.doleta.gov/unemploy/csv/ar5130.csv") # 5130 report +ucBenefitAppealsExtended <- downloadUCData("https://oui.doleta.gov/unemploy/csv/ae5130.csv") # 5130 report +ucBenefitAppealsEUC91x94 <- downloadUCData("https://oui.doleta.gov/unemploy/csv/ac5130.csv") # 5130 report +ucBenefitAppealsEUC02x04 <- downloadUCData("https://oui.doleta.gov/unemploy/csv/at5130.csv") # 5130 report +ucBenefitAppealsEUC08x13 <- downloadUCData("https://oui.doleta.gov/unemploy/csv/au5130.csv") # 5130 report # set the column names for the data that we're interested in @@ -594,7 +594,7 @@ getUIMap <- function(usa,df,uiDate,dfColumn, stateText, reverseLevels) # get the end of the month uiDate <- ceiling_date(uiDate,"month") - days(1) # this is b/c the stats are on different release cycles--some release earlier and later in the month, some release quarterly - # so this allows us to pick a date that doesn't exist, but fall back to something that does + # so this alloui us to pick a date that doesn't exist, but fall back to something that does if(!(uiDate %in% df$rptdate)) uiDate <- max(df$rptdate) @@ -706,3 +706,4 @@ get50StateComparisonPlot <- function(dfData, startDate, endDate, measure, highli # ggsave("out2.png", plot=smPlot, device="png", width=15, height=50, units="in", limitsize=FALSE) +