From e332db5f4d1b1e2aef291ab17a933fca0a49e833 Mon Sep 17 00:00:00 2001 From: Sam Greenbury Date: Fri, 19 Jan 2024 11:11:16 +0000 Subject: [PATCH] Update and add step 1 download digests, make download names distinct --- scripts/data_prep/digests/data_dl.txt | 487 ++++++++++++++++++ .../uk_data_service.txt} | 0 scripts/data_prep/raw_prep/prep_dl.sh | 2 +- scripts/data_prep/raw_to_prepared.R | 4 +- .../data_prep/raw_to_prepared_Workplaces.R | 8 +- 5 files changed, 494 insertions(+), 7 deletions(-) create mode 100644 scripts/data_prep/digests/data_dl.txt rename scripts/data_prep/{uk_data_service_digests.txt => digests/uk_data_service.txt} (100%) diff --git a/scripts/data_prep/digests/data_dl.txt b/scripts/data_prep/digests/data_dl.txt new file mode 100644 index 0000000..8987078 --- /dev/null +++ b/scripts/data_prep/digests/data_dl.txt @@ -0,0 +1,487 @@ +f6d445cb47811641af33817a12f1af3b1a491050670a4238f04429eb6c71a5e8 ./Data/dl/DC1102SC.csv 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b/scripts/data_prep/raw_prep/prep_dl.sh @@ -3,7 +3,7 @@ set -e # Check zip digests from UK Data Service -shasum -c uk_data_service_digests.txt +shasum -c digests/uk_data_service.txt # Unzip OUTPATH=Data/dl/ diff --git a/scripts/data_prep/raw_to_prepared.R b/scripts/data_prep/raw_to_prepared.R index 7e196f4..be50379 100644 --- a/scripts/data_prep/raw_to_prepared.R +++ b/scripts/data_prep/raw_to_prepared.R @@ -434,8 +434,8 @@ downloadNSSEC <- function(age,sex){ date<- "latest" other <- paste("&c_sex=",sex,"&c_nssec=1,4...10,13&c_age=",age,"&measures=20100&select=geography_code,c_nssec_name,obs_value",sep="") url <- createURL(dataset,geogrMSOA,APIKey,date,other) - download.file(url,destfile = paste(folderIn,"data.csv",sep="")) - data <- read.csv(paste(folderIn,"data.csv",sep="")) + download.file(url,destfile = paste(folderIn,"data_1.csv",sep="")) + data <- read.csv(paste(folderIn,"data_1.csv",sep="")) data$C_NSSEC_NAME <- substr(as.character(data$C_NSSEC_NAME),1,1) data$C_NSSEC_NAME[data$C_NSSEC_NAME == "L"] <- 9 data$C_NSSEC_NAME <- as.numeric(data$C_NSSEC_NAME) diff --git a/scripts/data_prep/raw_to_prepared_Workplaces.R b/scripts/data_prep/raw_to_prepared_Workplaces.R index 13b4e46..34efadb 100644 --- a/scripts/data_prep/raw_to_prepared_Workplaces.R +++ b/scripts/data_prep/raw_to_prepared_Workplaces.R @@ -35,10 +35,10 @@ geogr <- "2092957699" date<- "latestMINUS2" other <- "&industry=150994945...150994965&employment_sizeband=1...9&legal_status=0&measures=20100&select=industry_name,employment_sizeband_name,obs_value&rows=employment_sizeband_name&cols=industry_name" url <- createURL(datasetBR,geogr,APIKey,date,other) -download.file(url,destfile = paste(folderIn,"data.csv",sep="")) +download.file(url,destfile = paste(folderIn,"data_workplaces_1.csv",sep="")) # Load data and clean -data <- read.csv(paste(folderIn,"data.csv",sep="")) +data <- read.csv(paste(folderIn,"data_workplaces_1.csv",sep="")) data <- data[c(1,7,2,5,8,3,6,9,4),] row.names(data) <- 1:nrow(data) @@ -124,8 +124,8 @@ if(!file.exists(paste(folderOut,"lsoaData.csv",sep = ""))){ other <- "&industry=146800641...146800643,146800645...146800673,146800675...146800679,146800681...146800683,146800685...146800687,146800689...146800693,146800695,146800696,146800698...146800706,146800708...146800715,146800717...146800722,146800724...146800728,146800730...146800739&employment_status=1&measure=1&measures=20100&select=geography_code,industry_code,obs_value&rows=geography_code&cols=industry_code" geogrLSOA2 <- paste(geogrLSOA[1:1000],collapse=",") url <- createURL(datasetES,geogrLSOA2,APIKey,date,other) - download.file(url,destfile = paste(folderIn,"data.csv",sep="")) - data <- read.csv(paste(folderIn,"data.csv",sep="")) + download.file(url,destfile = paste(folderIn,"data_workplaces_2.csv",sep="")) + data <- read.csv(paste(folderIn,"data_workplaces_2.csv",sep="")) for(i in 1:22){ geogrLSOA2 <- paste(geogrLSOA[(i*1000 + 1):min(i*1000 + 1000,l)],collapse=",") url <- createURL(datasetES,geogrLSOA2,APIKey,date,other)