Importing data from the British Election Study in SPSS format¶
In order to run this notebook successfully, you have to download the 1983 British Election Study from the BES website and upload it to the virtual machine on which this notebook runs. To do this,
- pull down the “File” menu item and select “Open”
- An overview of the folder that contains the notebook opens.
- The folder view has a button labelled “Upload”. Use this to upload the file that you downloaded from the BES website. Its name should be
83BES.sav.
Note that the uploaded data will disappear, when the notebook container is reset.
The following also makes use of the memisc package. You may need to install it
from CRAN using the code
install.packages("memisc") if you want to run this on your computer. (The package is already installed on
the notebook container, however.)
library(memisc) # The functions used here are in this package.
Loading required package: lattice
Loading required package: MASS
Attaching package: 'memisc'
The following objects are masked from 'package:stats':
contr.sum, contr.treatment, contrasts
The following object is masked from 'package:base':
as.array
# The first step: Optainin the location and description of the survey data file
BES.1983.por <- spss.portable.file("83BES.sav")
description(BES.1983.por[1:30])
ID1 'SERIAL NUMBER'
RECORD1 'CARD NUMBER'
AREANO 'AREA NUMBER'
PANO 'PA CONSTITUENCY NUMBER'
MOVER 'MOVER-REISSUE CODE'
INT 'INTERVIEWER NUMBER'
FGLCLASS 'FATHER'S GOLDTHORPE-LLEWELLYN CLASS'
RGLCLASS 'RESPONDENT'S GOLDTHORPE-LLEWELLYN CLASS'
SGLCLASS 'SPOUSE'S GOLDTHORPE-LLEWELLYN CLASS'
FGHCLASS 'FATHER'S GOLDTHORPE-HEATH CLASS'
RGHCLASS 'RESPONDENT'S GOLDTHORPE-HEATH CLASS'
SGHCLASS 'SPOUSE'S GOLDTHORPE-HEATH CLASS'
Q1 'CARE WHICH PARTY WON'
Q2A 'FOLLOWED ELECTION BROADCASTS'
Q2B 'READ ABOUT CAMPAIGN IN NEWSPAPER'
Q2C '[IF READ NEWSPP] WHICH DAILY ON CAMPAIGN'
Q2D 'HEARD CANDIDATE AT POLITICAL MEETING'
Q2E 'CANVASSED FOR CANDIDATE'
Q2F 'PUT UP POLITICAL PARTY POSTER'
Q2G 'CANVASSER CALLED DURING CAMPAIGN'
Q2H1 'CON CANVASSER CALLED'
Q2H2 'LAB CANVASSER CALLED'
Q2H3 'ALLIANCE CANVASSER CALLED'
Q2H4 'LIB CANVASSER CALLED'
Q2H5 'SOCIAL DEMOCRACTIC CANVASSER CALLED'
Q2H6 'SNP CANVASSER CALLED'
Q2H7 'PLAID CYMRU CANVASSER CALLED'
Q2H8 'OTHER PARTY CANVASSER CALLED'
Q2H9 'ECOLOGY PARTY CANVASSER CALLED'
Q2H10 'NATIONAL FRONT CANVASSER CALLED'
# The second step: Loading a subset of the data - only the variables that are
# really needed for the analysis.
BES.1983.classvot <- subset(
BES.1983.por,
select=c(
voted = Q7A,
vote = Q9A,
lrself = Q46G,
fglclass = FGLCLASS,
rglclass = RGLCLASS,
sglclass = SGLCLASS,
ethnicity = Q64A,
gender = Q64B,
age = Q56,
educ = Q59A,
religion = Q63A,
religatt = Q63B
))
description(BES.1983.classvot)
voted 'DID RESPONDENT VOTE 1983'
vote '[IF VOTED] PARTY VOTED FOR'
lrself 'LEFT,RIGHT SCALE: R'S POSITION 1983'
fglclass 'FATHER'S GOLDTHORPE-LLEWELLYN CLASS'
rglclass 'RESPONDENT'S GOLDTHORPE-LLEWELLYN CLASS'
sglclass 'SPOUSE'S GOLDTHORPE-LLEWELLYN CLASS'
ethnicity 'RESPONDENT'S ETHNIC ORIGIN'
gender 'RESPONDENT'S SEX'
age 'RESPONDENT'S AGE LAST BIRTHDAY'
educ 'AGE RESPONDENT LEFT SCHOOL'
religion 'RESPONDENT'S RELIGION'
religatt '[IF RELIGION] FREQUENCY OF ATTENDANCE'
# Declaring the measurement level of a single variable
measurement(BES.1983.classvot$lrself) <- "interval"
# Declaring the measurement level of several variables
BES.1983.classvot <- within(BES.1983.classvot,{
measurement(lrself) <- "interval"
measurement(age) <- "interval"
measurement(educ) <- "interval"
})
# Declaring the measurement level of several variables using a loop
BES.1983.classvot <- within(BES.1983.classvot,{
foreach(var=c(lrself,age,educ),{
measurement(var) <- "interval"
})
})
# Obtaining the codebook a single variable
codebook(BES.1983.classvot["age"])
================================================================================
age 'RESPONDENT'S AGE LAST BIRTHDAY'
--------------------------------------------------------------------------------
Storage mode: double
Measurement: interval
Values and labels N Percent
99 'NA' 20 0.5
Min: 18.000
Max: 99.000
Mean: 45.704
Std.Dev.: 18.174
# Declaring the missing values for this variable
missing.values(BES.1983.classvot$age) <- 99
# Declaring several missing values
BES.1983.classvot <- within(BES.1983.classvot,{
missing.values(voted) <- 9
missing.values(vote) <- 95:99
missing.values(lrself) <- 95:99
missing.values(fglclass) <- 0
missing.values(rglclass) <- 0
missing.values(sglclass) <- 0
missing.values(ethnicity) <- 9
missing.values(gender) <- 9
missing.values(age) <- 9
missing.values(age) <- 98:99
missing.values(religion) <- 99
missing.values(religatt) <- 7:9
})
# The codebook of the resulting data set object
codebook(BES.1983.classvot)
================================================================================
voted 'DID RESPONDENT VOTE 1983'
--------------------------------------------------------------------------------
Storage mode: double
Measurement: nominal
Missing values: 9
Values and labels N Percent
1 'YES' 3295 83.3
2 'NO' 660 16.7
================================================================================
vote '[IF VOTED] PARTY VOTED FOR'
--------------------------------------------------------------------------------
Storage mode: double
Measurement: nominal
Missing values: 95, 96, 97, 98, 99
Values and labels N Valid Total
0 'SKIPPED' 660 17.1 16.7
1 'CON' 1432 37.1 36.2
2 'LAB' 937 24.3 23.7
3 'ALLIANCE' 416 10.8 10.5
4 'LIB' 278 7.2 7.0
5 'SOCIAL DEMOCR' 94 2.4 2.4
6 'SNP' 33 0.9 0.8
7 'PLAID CYMRU' 7 0.2 0.2
8 'ECOLOGY PARTY' 2 0.1 0.1
9 'NATNL FRONT' 2 0.1 0.1
10 'COMNIST PARTY' 0 0.0 0.0
95 M 'REFUSED' 92 2.3
97 M 'OTHER PARTY' 2 0.1
================================================================================
lrself 'LEFT,RIGHT SCALE: R'S POSITION 1983'
--------------------------------------------------------------------------------
Storage mode: double
Measurement: interval
Missing values: 95, 96, 97, 98, 99
Values and labels N Valid Total
-10 'LEFT' 69 2.0 1.7
0 'MID POINT' 2130 61.3 53.9
10 'RIGHT' 74 2.1 1.9
95 M 'NT ASKD RSN GIVN' 35 0.9
96 M 'REFUSED' 19 0.5
97 M 'TO RIGHT OF 10' 1 0.0
98 M 'DK' 393 9.9
99 M 'NA' 35 0.9
Min: -10.000
Max: 10.000
Mean: 0.154
Std.Dev.: 3.174
================================================================================
fglclass 'FATHER'S GOLDTHORPE-LLEWELLYN CLASS'
--------------------------------------------------------------------------------
Storage mode: double
Measurement: nominal
Missing values: 0
Values and labels N Valid Total
0 M 'NOT CLASSIFIED' 494 12.5
1 'HGH GRD PROF & MAN' 337 9.7 8.5
2 'LOW GRADE PROF & MAN' 275 7.9 7.0
3 'ROUTINE NONMANUAL' 237 6.8 6.0
4 'PETTY BOURGEOISIE' 483 14.0 12.2
5 'MANUAL FOREMEN ETC' 333 9.6 8.4
6 'SKILLED MANUAL' 961 27.8 24.3
7 'SEMI & UNSKIL MANUAL' 835 24.1 21.1
================================================================================
rglclass 'RESPONDENT'S GOLDTHORPE-LLEWELLYN CLASS'
--------------------------------------------------------------------------------
Storage mode: double
Measurement: nominal
Missing values: 0
Values and labels N Valid Total
0 M 'NOT CLASSIFIED' 203 5.1
1 'HGH GRD PROF & MAN' 310 8.3 7.8
2 'LOW GRADE PROF & MAN' 614 16.4 15.5
3 'ROUTINE NONMANUAL' 1137 30.3 28.7
4 'PETTY BOURGEOISIE' 244 6.5 6.2
5 'MANUAL FOREMEN ETC' 227 6.1 5.7
6 'SKILLED MANUAL' 413 11.0 10.4
7 'SEMI & UNSKIL MANUAL' 807 21.5 20.4
================================================================================
sglclass 'SPOUSE'S GOLDTHORPE-LLEWELLYN CLASS'
--------------------------------------------------------------------------------
Storage mode: double
Measurement: nominal
Missing values: 0
Values and labels N Valid Total
0 M 'NOT CLASSIFIED' 1350 34.1
1 'HGH GRD PROF & MAN' 233 8.9 5.9
2 'LOW GRADE PROF & MAN' 426 16.4 10.8
3 'ROUTINE NONMANUAL' 732 28.1 18.5
4 'PETTY BOURGEOISIE' 199 7.6 5.0
5 'MANUAL FOREMEN ETC' 145 5.6 3.7
6 'SKILLED MANUAL' 348 13.4 8.8
7 'SEMI & UNSKIL MANUAL' 522 20.0 13.2
================================================================================
ethnicity 'RESPONDENT'S ETHNIC ORIGIN'
--------------------------------------------------------------------------------
Storage mode: double
Measurement: nominal
Missing values: 9
Values and labels N Valid Total
1 'WHITE EUROPEAN' 3855 97.6 97.5
2 'INDIAN ETC' 51 1.3 1.3
3 'BLACK ETC' 33 0.8 0.8
4 'OTHER INC CHIN' 10 0.3 0.3
9 M 'NA' 6 0.2
================================================================================
gender 'RESPONDENT'S SEX'
--------------------------------------------------------------------------------
Storage mode: double
Measurement: nominal
Missing values: 9
Values and labels N Percent
1 'MALE' 1871 47.3
2 'FEMALE' 2084 52.7
================================================================================
age 'RESPONDENT'S AGE LAST BIRTHDAY'
--------------------------------------------------------------------------------
Storage mode: double
Measurement: interval
Missing values: 98, 99
Values and labels N Percent
99 M 'NA' 20 0.5
Min: 18.000
Max: 93.000
Mean: 45.433
Std.Dev.: 17.817
================================================================================
educ 'AGE RESPONDENT LEFT SCHOOL'
--------------------------------------------------------------------------------
Storage mode: double
Measurement: interval
Values and labels N Percent
0 'NO SCHOOLING' 3 0.1
98 'STILL AT SCHOOL' 2 0.1
99 'NA' 7 0.2
Min: 0.000
Max: 99.000
Mean: 15.636
Std.Dev.: 4.238
================================================================================
religion 'RESPONDENT'S RELIGION'
--------------------------------------------------------------------------------
Storage mode: double
Measurement: nominal
Missing values: 99
Values and labels N Valid Total
0 'NO RELIG' 1009 25.6 25.5
1 'XIAN NO DENOM' 66 1.7 1.7
2 'ROMAN CATHOLIC' 453 11.5 11.5
3 'C OF E,W ETC' 1767 44.8 44.7
4 'CHURCH SCOTLAND' 223 5.7 5.6
5 'METHODST' 185 4.7 4.7
6 'BAPTIST' 61 1.5 1.5
7 'URC ETC' 41 1.0 1.0
8 'OTHER XIAN' 71 1.8 1.8
9 'J WITNESS' 11 0.3 0.3
12 'JEW' 11 0.3 0.3
13 'HINDU' 20 0.5 0.5
14 'ISLAM MOSLEM' 16 0.4 0.4
15 'SIKH' 8 0.2 0.2
16 'BUDDHIST' 0 0.0 0.0
97 'OTHER NON XIAN' 2 0.1 0.1
99 M 'NA' 11 0.3
================================================================================
religatt '[IF RELIGION] FREQUENCY OF ATTENDANCE'
--------------------------------------------------------------------------------
Storage mode: double
Measurement: nominal
Missing values: 7, 8, 9
Values and labels N Valid Total
0 'NEVER' 1089 38.2 27.5
1 'ONCE+ A WEEK' 475 16.7 12.0
2 'SEV TIME A MTH' 114 4.0 2.9
3 'ONCE+ A MTH' 176 6.2 4.5
4 'SEV TIME YR' 424 14.9 10.7
5 'ONCE+ A YR' 283 9.9 7.2
6 'LESS TH ONCE YR' 290 10.2 7.3
7 M 'VARIES DK' 74 1.9
8 M 'SKIPPED' 1020 25.8
9 M 'NA' 10 0.3
options(jupyter.rich_display=TRUE)
show_html(codebook(BES.1983.classvot)) # Same information in HTML format
voted — 'DID RESPONDENT VOTE 1983'
| Storage mode: | double |
| Measurement: | nominal |
| Missing values: | 9 |
| Values and labels | N | Percent | ||||
| 1 | 'YES' | 3295 | 83 | . | 3 | |
| 2 | 'NO' | 660 | 16 | . | 7 | |
vote — '[IF VOTED] PARTY VOTED FOR'
| Storage mode: | double |
| Measurement: | nominal |
| Missing values: | 95, 96, 97, 98, 99 |
| Values and labels | N | Valid | Total | ||||||
| 0 | 'SKIPPED' | 660 | 17 | . | 1 | 16 | . | 7 | |
| 1 | 'CON' | 1432 | 37 | . | 1 | 36 | . | 2 | |
| 2 | 'LAB' | 937 | 24 | . | 3 | 23 | . | 7 | |
| 3 | 'ALLIANCE' | 416 | 10 | . | 8 | 10 | . | 5 | |
| 4 | 'LIB' | 278 | 7 | . | 2 | 7 | . | 0 | |
| 5 | 'SOCIAL DEMOCR' | 94 | 2 | . | 4 | 2 | . | 4 | |
| 6 | 'SNP' | 33 | 0 | . | 9 | 0 | . | 8 | |
| 7 | 'PLAID CYMRU' | 7 | 0 | . | 2 | 0 | . | 2 | |
| 8 | 'ECOLOGY PARTY' | 2 | 0 | . | 1 | 0 | . | 1 | |
| 9 | 'NATNL FRONT' | 2 | 0 | . | 1 | 0 | . | 1 | |
| 10 | 'COMNIST PARTY' | 0 | 0 | . | 0 | 0 | . | 0 | |
| 95 | M | 'REFUSED' | 92 | 2 | . | 3 | |||
| 97 | M | 'OTHER PARTY' | 2 | 0 | . | 1 | |||
lrself — 'LEFT,RIGHT SCALE: R'S POSITION 1983'
| Storage mode: | double |
| Measurement: | interval |
| Missing values: | 95, 96, 97, 98, 99 |
| Values and labels | N | Valid | Total | ||||||
| -10 | 'LEFT' | 69 | 2 | . | 0 | 1 | . | 7 | |
| 0 | 'MID POINT' | 2130 | 61 | . | 3 | 53 | . | 9 | |
| 10 | 'RIGHT' | 74 | 2 | . | 1 | 1 | . | 9 | |
| 95 | M | 'NT ASKD RSN GIVN' | 35 | 0 | . | 9 | |||
| 96 | M | 'REFUSED' | 19 | 0 | . | 5 | |||
| 97 | M | 'TO RIGHT OF 10' | 1 | 0 | . | 0 | |||
| 98 | M | 'DK' | 393 | 9 | . | 9 | |||
| 99 | M | 'NA' | 35 | 0 | . | 9 | |||
| Min: | -10 | . | 000 |
| Max: | 10 | . | 000 |
| Mean: | 0 | . | 154 |
| Std.Dev.: | 3 | . | 174 |
fglclass — 'FATHER'S GOLDTHORPE-LLEWELLYN CLASS'
| Storage mode: | double |
| Measurement: | nominal |
| Missing values: | 0 |
| Values and labels | N | Valid | Total | ||||||
| 0 | M | 'NOT CLASSIFIED' | 494 | 12 | . | 5 | |||
| 1 | 'HGH GRD PROF & MAN' | 337 | 9 | . | 7 | 8 | . | 5 | |
| 2 | 'LOW GRADE PROF & MAN' | 275 | 7 | . | 9 | 7 | . | 0 | |
| 3 | 'ROUTINE NONMANUAL' | 237 | 6 | . | 8 | 6 | . | 0 | |
| 4 | 'PETTY BOURGEOISIE' | 483 | 14 | . | 0 | 12 | . | 2 | |
| 5 | 'MANUAL FOREMEN ETC' | 333 | 9 | . | 6 | 8 | . | 4 | |
| 6 | 'SKILLED MANUAL' | 961 | 27 | . | 8 | 24 | . | 3 | |
| 7 | 'SEMI & UNSKIL MANUAL' | 835 | 24 | . | 1 | 21 | . | 1 | |
rglclass — 'RESPONDENT'S GOLDTHORPE-LLEWELLYN CLASS'
| Storage mode: | double |
| Measurement: | nominal |
| Missing values: | 0 |
| Values and labels | N | Valid | Total | ||||||
| 0 | M | 'NOT CLASSIFIED' | 203 | 5 | . | 1 | |||
| 1 | 'HGH GRD PROF & MAN' | 310 | 8 | . | 3 | 7 | . | 8 | |
| 2 | 'LOW GRADE PROF & MAN' | 614 | 16 | . | 4 | 15 | . | 5 | |
| 3 | 'ROUTINE NONMANUAL' | 1137 | 30 | . | 3 | 28 | . | 7 | |
| 4 | 'PETTY BOURGEOISIE' | 244 | 6 | . | 5 | 6 | . | 2 | |
| 5 | 'MANUAL FOREMEN ETC' | 227 | 6 | . | 1 | 5 | . | 7 | |
| 6 | 'SKILLED MANUAL' | 413 | 11 | . | 0 | 10 | . | 4 | |
| 7 | 'SEMI & UNSKIL MANUAL' | 807 | 21 | . | 5 | 20 | . | 4 | |
sglclass — 'SPOUSE'S GOLDTHORPE-LLEWELLYN CLASS'
| Storage mode: | double |
| Measurement: | nominal |
| Missing values: | 0 |
| Values and labels | N | Valid | Total | ||||||
| 0 | M | 'NOT CLASSIFIED' | 1350 | 34 | . | 1 | |||
| 1 | 'HGH GRD PROF & MAN' | 233 | 8 | . | 9 | 5 | . | 9 | |
| 2 | 'LOW GRADE PROF & MAN' | 426 | 16 | . | 4 | 10 | . | 8 | |
| 3 | 'ROUTINE NONMANUAL' | 732 | 28 | . | 1 | 18 | . | 5 | |
| 4 | 'PETTY BOURGEOISIE' | 199 | 7 | . | 6 | 5 | . | 0 | |
| 5 | 'MANUAL FOREMEN ETC' | 145 | 5 | . | 6 | 3 | . | 7 | |
| 6 | 'SKILLED MANUAL' | 348 | 13 | . | 4 | 8 | . | 8 | |
| 7 | 'SEMI & UNSKIL MANUAL' | 522 | 20 | . | 0 | 13 | . | 2 | |
ethnicity — 'RESPONDENT'S ETHNIC ORIGIN'
| Storage mode: | double |
| Measurement: | nominal |
| Missing values: | 9 |
| Values and labels | N | Valid | Total | ||||||
| 1 | 'WHITE EUROPEAN' | 3855 | 97 | . | 6 | 97 | . | 5 | |
| 2 | 'INDIAN ETC' | 51 | 1 | . | 3 | 1 | . | 3 | |
| 3 | 'BLACK ETC' | 33 | 0 | . | 8 | 0 | . | 8 | |
| 4 | 'OTHER INC CHIN' | 10 | 0 | . | 3 | 0 | . | 3 | |
| 9 | M | 'NA' | 6 | 0 | . | 2 | |||
gender — 'RESPONDENT'S SEX'
| Storage mode: | double |
| Measurement: | nominal |
| Missing values: | 9 |
| Values and labels | N | Percent | ||||
| 1 | 'MALE' | 1871 | 47 | . | 3 | |
| 2 | 'FEMALE' | 2084 | 52 | . | 7 | |
age — 'RESPONDENT'S AGE LAST BIRTHDAY'
| Storage mode: | double |
| Measurement: | interval |
| Missing values: | 98, 99 |
| Values and labels | N | Percent | ||||
| 99 | M | 'NA' | 20 | 0 | . | 5 |
| Min: | 18 | . | 000 |
| Max: | 93 | . | 000 |
| Mean: | 45 | . | 433 |
| Std.Dev.: | 17 | . | 817 |
educ — 'AGE RESPONDENT LEFT SCHOOL'
| Storage mode: | double |
| Measurement: | interval |
| Values and labels | N | Percent | ||||
| 0 | 'NO SCHOOLING' | 3 | 0 | . | 1 | |
| 98 | 'STILL AT SCHOOL' | 2 | 0 | . | 1 | |
| 99 | 'NA' | 7 | 0 | . | 2 | |
| Min: | 0 | . | 000 |
| Max: | 99 | . | 000 |
| Mean: | 15 | . | 636 |
| Std.Dev.: | 4 | . | 238 |
religion — 'RESPONDENT'S RELIGION'
| Storage mode: | double |
| Measurement: | nominal |
| Missing values: | 99 |
| Values and labels | N | Valid | Total | ||||||
| 0 | 'NO RELIG' | 1009 | 25 | . | 6 | 25 | . | 5 | |
| 1 | 'XIAN NO DENOM' | 66 | 1 | . | 7 | 1 | . | 7 | |
| 2 | 'ROMAN CATHOLIC' | 453 | 11 | . | 5 | 11 | . | 5 | |
| 3 | 'C OF E,W ETC' | 1767 | 44 | . | 8 | 44 | . | 7 | |
| 4 | 'CHURCH SCOTLAND' | 223 | 5 | . | 7 | 5 | . | 6 | |
| 5 | 'METHODST' | 185 | 4 | . | 7 | 4 | . | 7 | |
| 6 | 'BAPTIST' | 61 | 1 | . | 5 | 1 | . | 5 | |
| 7 | 'URC ETC' | 41 | 1 | . | 0 | 1 | . | 0 | |
| 8 | 'OTHER XIAN' | 71 | 1 | . | 8 | 1 | . | 8 | |
| 9 | 'J WITNESS' | 11 | 0 | . | 3 | 0 | . | 3 | |
| 12 | 'JEW' | 11 | 0 | . | 3 | 0 | . | 3 | |
| 13 | 'HINDU' | 20 | 0 | . | 5 | 0 | . | 5 | |
| 14 | 'ISLAM MOSLEM' | 16 | 0 | . | 4 | 0 | . | 4 | |
| 15 | 'SIKH' | 8 | 0 | . | 2 | 0 | . | 2 | |
| 16 | 'BUDDHIST' | 0 | 0 | . | 0 | 0 | . | 0 | |
| 97 | 'OTHER NON XIAN' | 2 | 0 | . | 1 | 0 | . | 1 | |
| 99 | M | 'NA' | 11 | 0 | . | 3 | |||
religatt — '[IF RELIGION] FREQUENCY OF ATTENDANCE'
| Storage mode: | double |
| Measurement: | nominal |
| Missing values: | 7, 8, 9 |
| Values and labels | N | Valid | Total | ||||||
| 0 | 'NEVER' | 1089 | 38 | . | 2 | 27 | . | 5 | |
| 1 | 'ONCE+ A WEEK' | 475 | 16 | . | 7 | 12 | . | 0 | |
| 2 | 'SEV TIME A MTH' | 114 | 4 | . | 0 | 2 | . | 9 | |
| 3 | 'ONCE+ A MTH' | 176 | 6 | . | 2 | 4 | . | 5 | |
| 4 | 'SEV TIME YR' | 424 | 14 | . | 9 | 10 | . | 7 | |
| 5 | 'ONCE+ A YR' | 283 | 9 | . | 9 | 7 | . | 2 | |
| 6 | 'LESS TH ONCE YR' | 290 | 10 | . | 2 | 7 | . | 3 | |
| 7 | M | 'VARIES DK' | 74 | 1 | . | 9 | |||
| 8 | M | 'SKIPPED' | 1020 | 25 | . | 8 | |||
| 9 | M | 'NA' | 10 | 0 | . | 3 | |||
save(BES.1983.classvot,
file="BES-1983-classvot.RData")
- R file: importing-BES-data.R
- Rmarkdown file: importing-BES-data.Rmd
- Jupyter notebook file: importing-BES-data.ipynb
- Interactive version of the Jupyter notebook (shuts down after 60s):
- Interactive version of the Jupyter notebook (sign in required):
