Getting error trying to scrape data from FiveThirtyEight
1
I am trying to scrape data from FiveThirtyEight's presidential approval rating to get the dates, pollsters, sample sizes, and percentages into a data frame in R. My first attempt was an approach using html_nodes:
pres_approval <- read_html("https://projects.fivethirtyeight.com/trump-approval-ratings/")
pres_approval <- pres_approval %>%
html_nodes(css = "table") %>%
nth(2) %>%
html_table(header = TRUE, fill = TRUE)
Which returned
Error in nodes_duplicated(nodes) : Expecting an external pointer: [type=NULL].`
And then again using the Selector Gadget:
pres_approval <- read_html("https://projects.fivethirtyeight.com/trump-approval-ratings/")`
pres_approval <- pres_approval %>%
html_nodes(css = "td , .heat-map , .pollster a") %>%
nth(2) %>%
html_table(header = TRUE, fill = TRUE)`
Which returned
Error in html_table.xml_node(., header = TRUE, fill = TRUE) : html_name(x) == "table" is not TRUE`
What can I do from here?
r web-scraping rvest
edited Nov 23 at 2:39
Ronak Shah
31.8k103753
asked Nov 23 at 2:31
LaurenG
111
add a comment |
1
I am trying to scrape data from FiveThirtyEight's presidential approval rating to get the dates, pollsters, sample sizes, and percentages into a data frame in R. My first attempt was an approach using html_nodes:
pres_approval <- read_html("https://projects.fivethirtyeight.com/trump-approval-ratings/")
pres_approval <- pres_approval %>%
html_nodes(css = "table") %>%
nth(2) %>%
html_table(header = TRUE, fill = TRUE)
Which returned
Error in nodes_duplicated(nodes) : Expecting an external pointer: [type=NULL].`
And then again using the Selector Gadget:
pres_approval <- read_html("https://projects.fivethirtyeight.com/trump-approval-ratings/")`
pres_approval <- pres_approval %>%
html_nodes(css = "td , .heat-map , .pollster a") %>%
nth(2) %>%
html_table(header = TRUE, fill = TRUE)`
Which returned
Error in html_table.xml_node(., header = TRUE, fill = TRUE) : html_name(x) == "table" is not TRUE`
What can I do from here?
r web-scraping rvest
edited Nov 23 at 2:39
Ronak Shah
31.8k103753
asked Nov 23 at 2:31
LaurenG
111
I only see one table on that page, so I thinknth(2)should benth(1).
– Marius
Nov 23 at 2:40
They have alot of data here: github.com/fivethirtyeight/data (not sure if this is there, tho)
– hrbrmstr
Nov 23 at 2:58
add a comment |
1
1
1
1
I am trying to scrape data from FiveThirtyEight's presidential approval rating to get the dates, pollsters, sample sizes, and percentages into a data frame in R. My first attempt was an approach using html_nodes:
pres_approval <- read_html("https://projects.fivethirtyeight.com/trump-approval-ratings/")
pres_approval <- pres_approval %>%
html_nodes(css = "table") %>%
nth(2) %>%
html_table(header = TRUE, fill = TRUE)
Which returned
Error in nodes_duplicated(nodes) : Expecting an external pointer: [type=NULL].`
And then again using the Selector Gadget:
pres_approval <- read_html("https://projects.fivethirtyeight.com/trump-approval-ratings/")`
pres_approval <- pres_approval %>%
html_nodes(css = "td , .heat-map , .pollster a") %>%
nth(2) %>%
html_table(header = TRUE, fill = TRUE)`
Which returned
Error in html_table.xml_node(., header = TRUE, fill = TRUE) : html_name(x) == "table" is not TRUE`
What can I do from here?
r web-scraping rvest
edited Nov 23 at 2:39
Ronak Shah
31.8k103753
asked Nov 23 at 2:31
LaurenG
111
I am trying to scrape data from FiveThirtyEight's presidential approval rating to get the dates, pollsters, sample sizes, and percentages into a data frame in R. My first attempt was an approach using html_nodes:
pres_approval <- read_html("https://projects.fivethirtyeight.com/trump-approval-ratings/")
pres_approval <- pres_approval %>%
html_nodes(css = "table") %>%
nth(2) %>%
html_table(header = TRUE, fill = TRUE)
Which returned
Error in nodes_duplicated(nodes) : Expecting an external pointer: [type=NULL].`
And then again using the Selector Gadget:
pres_approval <- read_html("https://projects.fivethirtyeight.com/trump-approval-ratings/")`
pres_approval <- pres_approval %>%
html_nodes(css = "td , .heat-map , .pollster a") %>%
nth(2) %>%
html_table(header = TRUE, fill = TRUE)`
Which returned
Error in html_table.xml_node(., header = TRUE, fill = TRUE) : html_name(x) == "table" is not TRUE`
What can I do from here?
r web-scraping rvest
r web-scraping rvest
edited Nov 23 at 2:39
Ronak Shah
31.8k103753
asked Nov 23 at 2:31
LaurenG
111
edited Nov 23 at 2:39
Ronak Shah
31.8k103753
asked Nov 23 at 2:31
LaurenG
111
edited Nov 23 at 2:39
Ronak Shah
31.8k103753
edited Nov 23 at 2:39
Ronak Shah
31.8k103753
edited Nov 23 at 2:39
Ronak Shah
31.8k103753
31.8k103753
asked Nov 23 at 2:31
LaurenG
111
asked Nov 23 at 2:31
LaurenG
111
asked Nov 23 at 2:31
LaurenG
111
111
I only see one table on that page, so I thinknth(2)should benth(1).
– Marius
Nov 23 at 2:40
They have alot of data here: github.com/fivethirtyeight/data (not sure if this is there, tho)
– hrbrmstr
Nov 23 at 2:58
add a comment |
I only see one table on that page, so I thinknth(2)should benth(1).
– Marius
Nov 23 at 2:40
They have alot of data here: github.com/fivethirtyeight/data (not sure if this is there, tho)
– hrbrmstr
Nov 23 at 2:58
I only see one table on that page, so I think
nth(2) should be nth(1).– Marius
Nov 23 at 2:40
I only see one table on that page, so I think
nth(2) should be nth(1).– Marius
Nov 23 at 2:40
They have alot of data here: github.com/fivethirtyeight/data (not sure if this is there, tho)
– hrbrmstr
Nov 23 at 2:58
They have alot of data here: github.com/fivethirtyeight/data (not sure if this is there, tho)
– hrbrmstr
Nov 23 at 2:58
add a comment |
1 Answer
1
active
oldest
votes
1
They generally load data asynchronously via XHR requests which you can see if you open Developer Tools in your browser and re-load the page. In Network -> XHR you'll see lots of lovely JSON:
I don't know which one you want (I skimmed the Q) but you can get all the main JSON files easily:
polls <- jsonlite::fromJSON("https://projects.fivethirtyeight.com/trump-approval-ratings/polls.json")
str(polls, 1)
## 'data.frame': 3401 obs. of 14 variables:
## $ id : int 77261 77265 77272 77249 77257 77266 77596 77246 77263 77253 ...
## $ subgroup : chr "All polls" "All polls" "All polls" "All polls" ...
## $ sampleSize : int 1992 1500 1190 1043 1500 2692 1712 1500 1500 1991 ...
## $ population : chr "rv" "a" "rv" "rv" ...
## $ weight : num 0.946 0.245 1.645 1.166 0.639 ...
## $ grade : chr "B-" "B" "A-" "B" ...
## $ multiversions: logi FALSE FALSE FALSE FALSE FALSE FALSE ...
## $ url : chr "http://www.politico.com/story/2017/01/poll-voters-liked-trumps-inaugural-address-234148" "http://www.gallup.com/poll/201617/gallup-daily-trump-job-approval.aspx" "https://poll.qu.edu/national/release-detail?ReleaseID=2415" "http://www.publicpolicypolling.com/pdf/2015/PPP_Release_National_12617.pdf" ...
## $ created_at : chr "2017-01-23" "2017-01-23" "2017-01-26" "2017-01-25" ...
## $ startDate : chr "2017-01-20" "2017-01-20" "2017-01-20" "2017-01-23" ...
## $ endDate : chr "2017-01-22" "2017-01-22" "2017-01-25" "2017-01-24" ...
## $ pollster : chr "Morning Consult" "Gallup" "Quinnipiac University" "Public Policy Polling" ...
## $ tracking : chr "" "T" "" "" ...
## $ answers :List of 3401
approval <- jsonlite::fromJSON("https://projects.fivethirtyeight.com/trump-approval-ratings/approval.json")
str(approval, 1)
## 'data.frame': 2751 obs. of 9 variables:
## $ date : chr "2017-01-23" "2017-01-23" "2017-01-23" "2017-01-24" ...
## $ future : logi FALSE FALSE FALSE FALSE FALSE FALSE ...
## $ subgroup : chr "Adults" "All polls" "Voters" "Adults" ...
## $ approve_estimate : chr "45" "45.46693" "46" "45" ...
## $ approve_hi : chr "51.1347" "50.88971" "52.29238" "50.98562" ...
## $ approve_lo : chr "38.8653" "40.04416" "39.70762" "39.01438" ...
## $ disapprove_estimate: chr "45" "41.26452" "37" "45.74659" ...
## $ disapprove_hi : chr "51.1347" "46.68729" "43.29238" "51.73221" ...
## $ disapprove_lo : chr "38.8653" "35.84175" "30.70762" "39.76097" ...
historic_approval <- jsonlite::fromJSON("https://projects.fivethirtyeight.com/trump-approval-ratings/historical-approval.json")
str(historic_approval, 1)
## 'data.frame': 26001 obs. of 6 variables:
## $ president : chr "Harry S. Truman" "Harry S. Truman" "Harry S. Truman" "Harry S. Truman" ...
## $ date : chr "1945-06-06" "1945-06-07" "1945-06-08" "1945-06-09" ...
## $ days : int 55 56 57 58 59 60 61 62 63 64 ...
## $ subgroup : chr "All polls" "All polls" "All polls" "All polls" ...
## $ approve_estimate : chr "87" "87" "87" "87" ...
## $ disapprove_estimate: chr "3" "3" "3" "3" ...
I'd run the resultant data frame(s) through readr::type_convert() to get better types.
answered Nov 23 at 3:06
hrbrmstr
60k685146
add a comment |
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They generally load data asynchronously via XHR requests which you can see if you open Developer Tools in your browser and re-load the page. In Network -> XHR you'll see lots of lovely JSON:
I don't know which one you want (I skimmed the Q) but you can get all the main JSON files easily:
polls <- jsonlite::fromJSON("https://projects.fivethirtyeight.com/trump-approval-ratings/polls.json")
str(polls, 1)
## 'data.frame': 3401 obs. of 14 variables:
## $ id : int 77261 77265 77272 77249 77257 77266 77596 77246 77263 77253 ...
## $ subgroup : chr "All polls" "All polls" "All polls" "All polls" ...
## $ sampleSize : int 1992 1500 1190 1043 1500 2692 1712 1500 1500 1991 ...
## $ population : chr "rv" "a" "rv" "rv" ...
## $ weight : num 0.946 0.245 1.645 1.166 0.639 ...
## $ grade : chr "B-" "B" "A-" "B" ...
## $ multiversions: logi FALSE FALSE FALSE FALSE FALSE FALSE ...
## $ url : chr "http://www.politico.com/story/2017/01/poll-voters-liked-trumps-inaugural-address-234148" "http://www.gallup.com/poll/201617/gallup-daily-trump-job-approval.aspx" "https://poll.qu.edu/national/release-detail?ReleaseID=2415" "http://www.publicpolicypolling.com/pdf/2015/PPP_Release_National_12617.pdf" ...
## $ created_at : chr "2017-01-23" "2017-01-23" "2017-01-26" "2017-01-25" ...
## $ startDate : chr "2017-01-20" "2017-01-20" "2017-01-20" "2017-01-23" ...
## $ endDate : chr "2017-01-22" "2017-01-22" "2017-01-25" "2017-01-24" ...
## $ pollster : chr "Morning Consult" "Gallup" "Quinnipiac University" "Public Policy Polling" ...
## $ tracking : chr "" "T" "" "" ...
## $ answers :List of 3401
approval <- jsonlite::fromJSON("https://projects.fivethirtyeight.com/trump-approval-ratings/approval.json")
str(approval, 1)
## 'data.frame': 2751 obs. of 9 variables:
## $ date : chr "2017-01-23" "2017-01-23" "2017-01-23" "2017-01-24" ...
## $ future : logi FALSE FALSE FALSE FALSE FALSE FALSE ...
## $ subgroup : chr "Adults" "All polls" "Voters" "Adults" ...
## $ approve_estimate : chr "45" "45.46693" "46" "45" ...
## $ approve_hi : chr "51.1347" "50.88971" "52.29238" "50.98562" ...
## $ approve_lo : chr "38.8653" "40.04416" "39.70762" "39.01438" ...
## $ disapprove_estimate: chr "45" "41.26452" "37" "45.74659" ...
## $ disapprove_hi : chr "51.1347" "46.68729" "43.29238" "51.73221" ...
## $ disapprove_lo : chr "38.8653" "35.84175" "30.70762" "39.76097" ...
historic_approval <- jsonlite::fromJSON("https://projects.fivethirtyeight.com/trump-approval-ratings/historical-approval.json")
str(historic_approval, 1)
## 'data.frame': 26001 obs. of 6 variables:
## $ president : chr "Harry S. Truman" "Harry S. Truman" "Harry S. Truman" "Harry S. Truman" ...
## $ date : chr "1945-06-06" "1945-06-07" "1945-06-08" "1945-06-09" ...
## $ days : int 55 56 57 58 59 60 61 62 63 64 ...
## $ subgroup : chr "All polls" "All polls" "All polls" "All polls" ...
## $ approve_estimate : chr "87" "87" "87" "87" ...
## $ disapprove_estimate: chr "3" "3" "3" "3" ...
I'd run the resultant data frame(s) through readr::type_convert() to get better types.
answered Nov 23 at 3:06
hrbrmstr
60k685146
add a comment |
1
They generally load data asynchronously via XHR requests which you can see if you open Developer Tools in your browser and re-load the page. In Network -> XHR you'll see lots of lovely JSON:
I don't know which one you want (I skimmed the Q) but you can get all the main JSON files easily:
polls <- jsonlite::fromJSON("https://projects.fivethirtyeight.com/trump-approval-ratings/polls.json")
str(polls, 1)
## 'data.frame': 3401 obs. of 14 variables:
## $ id : int 77261 77265 77272 77249 77257 77266 77596 77246 77263 77253 ...
## $ subgroup : chr "All polls" "All polls" "All polls" "All polls" ...
## $ sampleSize : int 1992 1500 1190 1043 1500 2692 1712 1500 1500 1991 ...
## $ population : chr "rv" "a" "rv" "rv" ...
## $ weight : num 0.946 0.245 1.645 1.166 0.639 ...
## $ grade : chr "B-" "B" "A-" "B" ...
## $ multiversions: logi FALSE FALSE FALSE FALSE FALSE FALSE ...
## $ url : chr "http://www.politico.com/story/2017/01/poll-voters-liked-trumps-inaugural-address-234148" "http://www.gallup.com/poll/201617/gallup-daily-trump-job-approval.aspx" "https://poll.qu.edu/national/release-detail?ReleaseID=2415" "http://www.publicpolicypolling.com/pdf/2015/PPP_Release_National_12617.pdf" ...
## $ created_at : chr "2017-01-23" "2017-01-23" "2017-01-26" "2017-01-25" ...
## $ startDate : chr "2017-01-20" "2017-01-20" "2017-01-20" "2017-01-23" ...
## $ endDate : chr "2017-01-22" "2017-01-22" "2017-01-25" "2017-01-24" ...
## $ pollster : chr "Morning Consult" "Gallup" "Quinnipiac University" "Public Policy Polling" ...
## $ tracking : chr "" "T" "" "" ...
## $ answers :List of 3401
approval <- jsonlite::fromJSON("https://projects.fivethirtyeight.com/trump-approval-ratings/approval.json")
str(approval, 1)
## 'data.frame': 2751 obs. of 9 variables:
## $ date : chr "2017-01-23" "2017-01-23" "2017-01-23" "2017-01-24" ...
## $ future : logi FALSE FALSE FALSE FALSE FALSE FALSE ...
## $ subgroup : chr "Adults" "All polls" "Voters" "Adults" ...
## $ approve_estimate : chr "45" "45.46693" "46" "45" ...
## $ approve_hi : chr "51.1347" "50.88971" "52.29238" "50.98562" ...
## $ approve_lo : chr "38.8653" "40.04416" "39.70762" "39.01438" ...
## $ disapprove_estimate: chr "45" "41.26452" "37" "45.74659" ...
## $ disapprove_hi : chr "51.1347" "46.68729" "43.29238" "51.73221" ...
## $ disapprove_lo : chr "38.8653" "35.84175" "30.70762" "39.76097" ...
historic_approval <- jsonlite::fromJSON("https://projects.fivethirtyeight.com/trump-approval-ratings/historical-approval.json")
str(historic_approval, 1)
## 'data.frame': 26001 obs. of 6 variables:
## $ president : chr "Harry S. Truman" "Harry S. Truman" "Harry S. Truman" "Harry S. Truman" ...
## $ date : chr "1945-06-06" "1945-06-07" "1945-06-08" "1945-06-09" ...
## $ days : int 55 56 57 58 59 60 61 62 63 64 ...
## $ subgroup : chr "All polls" "All polls" "All polls" "All polls" ...
## $ approve_estimate : chr "87" "87" "87" "87" ...
## $ disapprove_estimate: chr "3" "3" "3" "3" ...
I'd run the resultant data frame(s) through readr::type_convert() to get better types.
answered Nov 23 at 3:06
hrbrmstr
60k685146
add a comment |
1
1
1
They generally load data asynchronously via XHR requests which you can see if you open Developer Tools in your browser and re-load the page. In Network -> XHR you'll see lots of lovely JSON:
I don't know which one you want (I skimmed the Q) but you can get all the main JSON files easily:
polls <- jsonlite::fromJSON("https://projects.fivethirtyeight.com/trump-approval-ratings/polls.json")
str(polls, 1)
## 'data.frame': 3401 obs. of 14 variables:
## $ id : int 77261 77265 77272 77249 77257 77266 77596 77246 77263 77253 ...
## $ subgroup : chr "All polls" "All polls" "All polls" "All polls" ...
## $ sampleSize : int 1992 1500 1190 1043 1500 2692 1712 1500 1500 1991 ...
## $ population : chr "rv" "a" "rv" "rv" ...
## $ weight : num 0.946 0.245 1.645 1.166 0.639 ...
## $ grade : chr "B-" "B" "A-" "B" ...
## $ multiversions: logi FALSE FALSE FALSE FALSE FALSE FALSE ...
## $ url : chr "http://www.politico.com/story/2017/01/poll-voters-liked-trumps-inaugural-address-234148" "http://www.gallup.com/poll/201617/gallup-daily-trump-job-approval.aspx" "https://poll.qu.edu/national/release-detail?ReleaseID=2415" "http://www.publicpolicypolling.com/pdf/2015/PPP_Release_National_12617.pdf" ...
## $ created_at : chr "2017-01-23" "2017-01-23" "2017-01-26" "2017-01-25" ...
## $ startDate : chr "2017-01-20" "2017-01-20" "2017-01-20" "2017-01-23" ...
## $ endDate : chr "2017-01-22" "2017-01-22" "2017-01-25" "2017-01-24" ...
## $ pollster : chr "Morning Consult" "Gallup" "Quinnipiac University" "Public Policy Polling" ...
## $ tracking : chr "" "T" "" "" ...
## $ answers :List of 3401
approval <- jsonlite::fromJSON("https://projects.fivethirtyeight.com/trump-approval-ratings/approval.json")
str(approval, 1)
## 'data.frame': 2751 obs. of 9 variables:
## $ date : chr "2017-01-23" "2017-01-23" "2017-01-23" "2017-01-24" ...
## $ future : logi FALSE FALSE FALSE FALSE FALSE FALSE ...
## $ subgroup : chr "Adults" "All polls" "Voters" "Adults" ...
## $ approve_estimate : chr "45" "45.46693" "46" "45" ...
## $ approve_hi : chr "51.1347" "50.88971" "52.29238" "50.98562" ...
## $ approve_lo : chr "38.8653" "40.04416" "39.70762" "39.01438" ...
## $ disapprove_estimate: chr "45" "41.26452" "37" "45.74659" ...
## $ disapprove_hi : chr "51.1347" "46.68729" "43.29238" "51.73221" ...
## $ disapprove_lo : chr "38.8653" "35.84175" "30.70762" "39.76097" ...
historic_approval <- jsonlite::fromJSON("https://projects.fivethirtyeight.com/trump-approval-ratings/historical-approval.json")
str(historic_approval, 1)
## 'data.frame': 26001 obs. of 6 variables:
## $ president : chr "Harry S. Truman" "Harry S. Truman" "Harry S. Truman" "Harry S. Truman" ...
## $ date : chr "1945-06-06" "1945-06-07" "1945-06-08" "1945-06-09" ...
## $ days : int 55 56 57 58 59 60 61 62 63 64 ...
## $ subgroup : chr "All polls" "All polls" "All polls" "All polls" ...
## $ approve_estimate : chr "87" "87" "87" "87" ...
## $ disapprove_estimate: chr "3" "3" "3" "3" ...
I'd run the resultant data frame(s) through readr::type_convert() to get better types.
answered Nov 23 at 3:06
hrbrmstr
60k685146
They generally load data asynchronously via XHR requests which you can see if you open Developer Tools in your browser and re-load the page. In Network -> XHR you'll see lots of lovely JSON:
I don't know which one you want (I skimmed the Q) but you can get all the main JSON files easily:
polls <- jsonlite::fromJSON("https://projects.fivethirtyeight.com/trump-approval-ratings/polls.json")
str(polls, 1)
## 'data.frame': 3401 obs. of 14 variables:
## $ id : int 77261 77265 77272 77249 77257 77266 77596 77246 77263 77253 ...
## $ subgroup : chr "All polls" "All polls" "All polls" "All polls" ...
## $ sampleSize : int 1992 1500 1190 1043 1500 2692 1712 1500 1500 1991 ...
## $ population : chr "rv" "a" "rv" "rv" ...
## $ weight : num 0.946 0.245 1.645 1.166 0.639 ...
## $ grade : chr "B-" "B" "A-" "B" ...
## $ multiversions: logi FALSE FALSE FALSE FALSE FALSE FALSE ...
## $ url : chr "http://www.politico.com/story/2017/01/poll-voters-liked-trumps-inaugural-address-234148" "http://www.gallup.com/poll/201617/gallup-daily-trump-job-approval.aspx" "https://poll.qu.edu/national/release-detail?ReleaseID=2415" "http://www.publicpolicypolling.com/pdf/2015/PPP_Release_National_12617.pdf" ...
## $ created_at : chr "2017-01-23" "2017-01-23" "2017-01-26" "2017-01-25" ...
## $ startDate : chr "2017-01-20" "2017-01-20" "2017-01-20" "2017-01-23" ...
## $ endDate : chr "2017-01-22" "2017-01-22" "2017-01-25" "2017-01-24" ...
## $ pollster : chr "Morning Consult" "Gallup" "Quinnipiac University" "Public Policy Polling" ...
## $ tracking : chr "" "T" "" "" ...
## $ answers :List of 3401
approval <- jsonlite::fromJSON("https://projects.fivethirtyeight.com/trump-approval-ratings/approval.json")
str(approval, 1)
## 'data.frame': 2751 obs. of 9 variables:
## $ date : chr "2017-01-23" "2017-01-23" "2017-01-23" "2017-01-24" ...
## $ future : logi FALSE FALSE FALSE FALSE FALSE FALSE ...
## $ subgroup : chr "Adults" "All polls" "Voters" "Adults" ...
## $ approve_estimate : chr "45" "45.46693" "46" "45" ...
## $ approve_hi : chr "51.1347" "50.88971" "52.29238" "50.98562" ...
## $ approve_lo : chr "38.8653" "40.04416" "39.70762" "39.01438" ...
## $ disapprove_estimate: chr "45" "41.26452" "37" "45.74659" ...
## $ disapprove_hi : chr "51.1347" "46.68729" "43.29238" "51.73221" ...
## $ disapprove_lo : chr "38.8653" "35.84175" "30.70762" "39.76097" ...
historic_approval <- jsonlite::fromJSON("https://projects.fivethirtyeight.com/trump-approval-ratings/historical-approval.json")
str(historic_approval, 1)
## 'data.frame': 26001 obs. of 6 variables:
## $ president : chr "Harry S. Truman" "Harry S. Truman" "Harry S. Truman" "Harry S. Truman" ...
## $ date : chr "1945-06-06" "1945-06-07" "1945-06-08" "1945-06-09" ...
## $ days : int 55 56 57 58 59 60 61 62 63 64 ...
## $ subgroup : chr "All polls" "All polls" "All polls" "All polls" ...
## $ approve_estimate : chr "87" "87" "87" "87" ...
## $ disapprove_estimate: chr "3" "3" "3" "3" ...
I'd run the resultant data frame(s) through readr::type_convert() to get better types.
answered Nov 23 at 3:06
hrbrmstr
60k685146
answered Nov 23 at 3:06
hrbrmstr
60k685146
answered Nov 23 at 3:06
hrbrmstr
60k685146
answered Nov 23 at 3:06
hrbrmstr
60k685146
60k685146
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I only see one table on that page, so I think
nth(2)should benth(1).– Marius
Nov 23 at 2:40
They have alot of data here: github.com/fivethirtyeight/data (not sure if this is there, tho)
– hrbrmstr
Nov 23 at 2:58