Mixing
Pulling data using blsAPI
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I am trying to pull BLS data using the blsAPI but keep getting empty data sets. When I run the sample code provided from BLS it works fine but when I run the same code on different series ids I get nothing. I have included my code below:
# ENU04013105111150 = Wages
# CXUMENBOYSLB0101M = expenditures
payload<-list('seriesid'=c('ENU04013105111150','CXUMENBOYSLB0101M'),
'startyear'=1999,'endyear'=2002)
response<-blsAPI(payload,3)
json<-fromJSON(response)
apiDF<-function(data){
df <- data.frame(year=character(),
period=character(),
periodName=character(),
value=character(),
stringsAsFactors=FALSE)
i <- 0
for(d in data){
i <- i + 1
df[i,] <- unlist(d)
}
return(df)
}
wages.df<-apiDF(json$Results$series[[1]]$data)
expend.df<-apiDF(json$Results$series[[2]]$data)
names(wages.df)[4]<-'wages'
names(expend.df)[4]<-'expend'
df<-merge(wages.df, expend.df)
df [1] year period periodName wages expend <0 rows> (or 0-length row.names)
I am trying to get data for wages and expenditures that I can then manipulate and plot.
r json api
edited Jan 3 at 16:38
AS Mackay
2,00951121
asked Jan 3 at 15:41
Jonathan RauhJonathan Rauh
1
add a comment |
I am trying to pull BLS data using the blsAPI but keep getting empty data sets. When I run the sample code provided from BLS it works fine but when I run the same code on different series ids I get nothing. I have included my code below:
# ENU04013105111150 = Wages
# CXUMENBOYSLB0101M = expenditures
payload<-list('seriesid'=c('ENU04013105111150','CXUMENBOYSLB0101M'),
'startyear'=1999,'endyear'=2002)
response<-blsAPI(payload,3)
json<-fromJSON(response)
apiDF<-function(data){
df <- data.frame(year=character(),
period=character(),
periodName=character(),
value=character(),
stringsAsFactors=FALSE)
i <- 0
for(d in data){
i <- i + 1
df[i,] <- unlist(d)
}
return(df)
}
wages.df<-apiDF(json$Results$series[[1]]$data)
expend.df<-apiDF(json$Results$series[[2]]$data)
names(wages.df)[4]<-'wages'
names(expend.df)[4]<-'expend'
df<-merge(wages.df, expend.df)
df [1] year period periodName wages expend <0 rows> (or 0-length row.names)
I am trying to get data for wages and expenditures that I can then manipulate and plot.
r json api
edited Jan 3 at 16:38
AS Mackay
2,00951121
asked Jan 3 at 15:41
Jonathan RauhJonathan Rauh
1
add a comment |
I am trying to pull BLS data using the blsAPI but keep getting empty data sets. When I run the sample code provided from BLS it works fine but when I run the same code on different series ids I get nothing. I have included my code below:
# ENU04013105111150 = Wages
# CXUMENBOYSLB0101M = expenditures
payload<-list('seriesid'=c('ENU04013105111150','CXUMENBOYSLB0101M'),
'startyear'=1999,'endyear'=2002)
response<-blsAPI(payload,3)
json<-fromJSON(response)
apiDF<-function(data){
df <- data.frame(year=character(),
period=character(),
periodName=character(),
value=character(),
stringsAsFactors=FALSE)
i <- 0
for(d in data){
i <- i + 1
df[i,] <- unlist(d)
}
return(df)
}
wages.df<-apiDF(json$Results$series[[1]]$data)
expend.df<-apiDF(json$Results$series[[2]]$data)
names(wages.df)[4]<-'wages'
names(expend.df)[4]<-'expend'
df<-merge(wages.df, expend.df)
df [1] year period periodName wages expend <0 rows> (or 0-length row.names)
I am trying to get data for wages and expenditures that I can then manipulate and plot.
r json api
edited Jan 3 at 16:38
AS Mackay
2,00951121
asked Jan 3 at 15:41
Jonathan RauhJonathan Rauh
1
I am trying to pull BLS data using the blsAPI but keep getting empty data sets. When I run the sample code provided from BLS it works fine but when I run the same code on different series ids I get nothing. I have included my code below:
# ENU04013105111150 = Wages
# CXUMENBOYSLB0101M = expenditures
payload<-list('seriesid'=c('ENU04013105111150','CXUMENBOYSLB0101M'),
'startyear'=1999,'endyear'=2002)
response<-blsAPI(payload,3)
json<-fromJSON(response)
apiDF<-function(data){
df <- data.frame(year=character(),
period=character(),
periodName=character(),
value=character(),
stringsAsFactors=FALSE)
i <- 0
for(d in data){
i <- i + 1
df[i,] <- unlist(d)
}
return(df)
}
wages.df<-apiDF(json$Results$series[[1]]$data)
expend.df<-apiDF(json$Results$series[[2]]$data)
names(wages.df)[4]<-'wages'
names(expend.df)[4]<-'expend'
df<-merge(wages.df, expend.df)
df [1] year period periodName wages expend <0 rows> (or 0-length row.names)
I am trying to get data for wages and expenditures that I can then manipulate and plot.
r json api
r json api
edited Jan 3 at 16:38
AS Mackay
2,00951121
asked Jan 3 at 15:41
Jonathan RauhJonathan Rauh
1
edited Jan 3 at 16:38
AS Mackay
2,00951121
asked Jan 3 at 15:41
Jonathan RauhJonathan Rauh
1
edited Jan 3 at 16:38
AS Mackay
2,00951121
edited Jan 3 at 16:38
AS Mackay
2,00951121
edited Jan 3 at 16:38
AS Mackay
2,00951121
2,00951121
asked Jan 3 at 15:41
Jonathan RauhJonathan Rauh
1
asked Jan 3 at 15:41
Jonathan RauhJonathan Rauh
1
asked Jan 3 at 15:41
Jonathan RauhJonathan Rauh
1
1
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
There seem to be a couple of things going on here. To start with, you're passing a value of 3 to the api_version argument in your blsAPI function, but the only acceptable values are 1 and 2. Second, it appears that series ENU04013105111150 has no data for the years you requested. This is what I ran:
> library(rjson)
> library(blsAPI)
>
> payload<-list('seriesid'=c('ENU04013105111150','CXUMENBOYSLB0101M'),
+ 'startyear'=1999,'endyear'=2002)
> response<-blsAPI(payload, 2)
> json<-fromJSON(response)
> apiDF<-function(data){
+ df <- data.frame(year=character(),
+ period=character(),
+ periodName=character(),
+ value=character(),
+ stringsAsFactors=FALSE)
+
+ i <- 0
+ for(d in data){
+ i <- i + 1
+ df[i,] <- unlist(d)
+ }
+ return(df)
+ }
>
> json$message
[1] "No Data Available for Series ENU04013105111150 Year: 1999" "No Data Available for Series ENU04013105111150 Year: 2000"
[3] "No Data Available for Series ENU04013105111150 Year: 2001" "No Data Available for Series ENU04013105111150 Year: 2002"
>
> wages.df<-apiDF(json$Results$series[[1]]$data)
> expend.df<-apiDF(json$Results$series[[2]]$data)
>
> dim(wages.df)
[1] 0 4
> dim(expend.df)
[1] 4 4
Note that the expenditures read in correctly (because I changed api_version to 2), but there aren't any data for the other series in that time frame.
answered Jan 3 at 16:59
Joseph Clark McIntyreJoseph Clark McIntyre
939126
Awesome! Thanks for your help!
– Jonathan Rauh
Jan 4 at 16:09
add a comment |
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1 Answer
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1 Answer
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active
oldest
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oldest
votes
active
oldest
votes
There seem to be a couple of things going on here. To start with, you're passing a value of 3 to the api_version argument in your blsAPI function, but the only acceptable values are 1 and 2. Second, it appears that series ENU04013105111150 has no data for the years you requested. This is what I ran:
> library(rjson)
> library(blsAPI)
>
> payload<-list('seriesid'=c('ENU04013105111150','CXUMENBOYSLB0101M'),
+ 'startyear'=1999,'endyear'=2002)
> response<-blsAPI(payload, 2)
> json<-fromJSON(response)
> apiDF<-function(data){
+ df <- data.frame(year=character(),
+ period=character(),
+ periodName=character(),
+ value=character(),
+ stringsAsFactors=FALSE)
+
+ i <- 0
+ for(d in data){
+ i <- i + 1
+ df[i,] <- unlist(d)
+ }
+ return(df)
+ }
>
> json$message
[1] "No Data Available for Series ENU04013105111150 Year: 1999" "No Data Available for Series ENU04013105111150 Year: 2000"
[3] "No Data Available for Series ENU04013105111150 Year: 2001" "No Data Available for Series ENU04013105111150 Year: 2002"
>
> wages.df<-apiDF(json$Results$series[[1]]$data)
> expend.df<-apiDF(json$Results$series[[2]]$data)
>
> dim(wages.df)
[1] 0 4
> dim(expend.df)
[1] 4 4
Note that the expenditures read in correctly (because I changed api_version to 2), but there aren't any data for the other series in that time frame.
answered Jan 3 at 16:59
Joseph Clark McIntyreJoseph Clark McIntyre
939126
Awesome! Thanks for your help!
– Jonathan Rauh
Jan 4 at 16:09
add a comment |
There seem to be a couple of things going on here. To start with, you're passing a value of 3 to the api_version argument in your blsAPI function, but the only acceptable values are 1 and 2. Second, it appears that series ENU04013105111150 has no data for the years you requested. This is what I ran:
> library(rjson)
> library(blsAPI)
>
> payload<-list('seriesid'=c('ENU04013105111150','CXUMENBOYSLB0101M'),
+ 'startyear'=1999,'endyear'=2002)
> response<-blsAPI(payload, 2)
> json<-fromJSON(response)
> apiDF<-function(data){
+ df <- data.frame(year=character(),
+ period=character(),
+ periodName=character(),
+ value=character(),
+ stringsAsFactors=FALSE)
+
+ i <- 0
+ for(d in data){
+ i <- i + 1
+ df[i,] <- unlist(d)
+ }
+ return(df)
+ }
>
> json$message
[1] "No Data Available for Series ENU04013105111150 Year: 1999" "No Data Available for Series ENU04013105111150 Year: 2000"
[3] "No Data Available for Series ENU04013105111150 Year: 2001" "No Data Available for Series ENU04013105111150 Year: 2002"
>
> wages.df<-apiDF(json$Results$series[[1]]$data)
> expend.df<-apiDF(json$Results$series[[2]]$data)
>
> dim(wages.df)
[1] 0 4
> dim(expend.df)
[1] 4 4
Note that the expenditures read in correctly (because I changed api_version to 2), but there aren't any data for the other series in that time frame.
answered Jan 3 at 16:59
Joseph Clark McIntyreJoseph Clark McIntyre
939126
Awesome! Thanks for your help!
– Jonathan Rauh
Jan 4 at 16:09
add a comment |
There seem to be a couple of things going on here. To start with, you're passing a value of 3 to the api_version argument in your blsAPI function, but the only acceptable values are 1 and 2. Second, it appears that series ENU04013105111150 has no data for the years you requested. This is what I ran:
> library(rjson)
> library(blsAPI)
>
> payload<-list('seriesid'=c('ENU04013105111150','CXUMENBOYSLB0101M'),
+ 'startyear'=1999,'endyear'=2002)
> response<-blsAPI(payload, 2)
> json<-fromJSON(response)
> apiDF<-function(data){
+ df <- data.frame(year=character(),
+ period=character(),
+ periodName=character(),
+ value=character(),
+ stringsAsFactors=FALSE)
+
+ i <- 0
+ for(d in data){
+ i <- i + 1
+ df[i,] <- unlist(d)
+ }
+ return(df)
+ }
>
> json$message
[1] "No Data Available for Series ENU04013105111150 Year: 1999" "No Data Available for Series ENU04013105111150 Year: 2000"
[3] "No Data Available for Series ENU04013105111150 Year: 2001" "No Data Available for Series ENU04013105111150 Year: 2002"
>
> wages.df<-apiDF(json$Results$series[[1]]$data)
> expend.df<-apiDF(json$Results$series[[2]]$data)
>
> dim(wages.df)
[1] 0 4
> dim(expend.df)
[1] 4 4
Note that the expenditures read in correctly (because I changed api_version to 2), but there aren't any data for the other series in that time frame.
answered Jan 3 at 16:59
Joseph Clark McIntyreJoseph Clark McIntyre
939126
There seem to be a couple of things going on here. To start with, you're passing a value of 3 to the api_version argument in your blsAPI function, but the only acceptable values are 1 and 2. Second, it appears that series ENU04013105111150 has no data for the years you requested. This is what I ran:
> library(rjson)
> library(blsAPI)
>
> payload<-list('seriesid'=c('ENU04013105111150','CXUMENBOYSLB0101M'),
+ 'startyear'=1999,'endyear'=2002)
> response<-blsAPI(payload, 2)
> json<-fromJSON(response)
> apiDF<-function(data){
+ df <- data.frame(year=character(),
+ period=character(),
+ periodName=character(),
+ value=character(),
+ stringsAsFactors=FALSE)
+
+ i <- 0
+ for(d in data){
+ i <- i + 1
+ df[i,] <- unlist(d)
+ }
+ return(df)
+ }
>
> json$message
[1] "No Data Available for Series ENU04013105111150 Year: 1999" "No Data Available for Series ENU04013105111150 Year: 2000"
[3] "No Data Available for Series ENU04013105111150 Year: 2001" "No Data Available for Series ENU04013105111150 Year: 2002"
>
> wages.df<-apiDF(json$Results$series[[1]]$data)
> expend.df<-apiDF(json$Results$series[[2]]$data)
>
> dim(wages.df)
[1] 0 4
> dim(expend.df)
[1] 4 4
Note that the expenditures read in correctly (because I changed api_version to 2), but there aren't any data for the other series in that time frame.
answered Jan 3 at 16:59
Joseph Clark McIntyreJoseph Clark McIntyre
939126
answered Jan 3 at 16:59
Joseph Clark McIntyreJoseph Clark McIntyre
939126
answered Jan 3 at 16:59
Joseph Clark McIntyreJoseph Clark McIntyre
939126
answered Jan 3 at 16:59
Joseph Clark McIntyreJoseph Clark McIntyre
939126
939126
Awesome! Thanks for your help!
– Jonathan Rauh
Jan 4 at 16:09
add a comment |
Awesome! Thanks for your help!
– Jonathan Rauh
Jan 4 at 16:09
Awesome! Thanks for your help!
– Jonathan Rauh
Jan 4 at 16:09
Awesome! Thanks for your help!
– Jonathan Rauh
Jan 4 at 16:09
add a comment |
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