scripts_and_docs/build_data_parliament.R
In mcomas/coda.base: A Basic Set of Functions for Compositional Data Analysis
library(dplyr)
library(tidyr)
load('testing/emex.RData')
load('testing/parliament2015.RData')
mun_renaming = function(.data) .data %>%
mutate(
mun = gsub('^Brunyola$', 'Brunyola i Sant Martí Sapresa', mun),
mun = gsub('^Calonge$', 'Calonge i Sant Antoni', mun),
mun = gsub('^Palmerola$', 'Llosses, les', mun)
)
emex.data[emex.data$com == 'Alt Camp', 'prov'] = 'Tarragona'
emex.data[emex.data$prov == 'LLeida', 'prov'] = 'Lleida'
data_prov = emex.data %>% select(prov, com, mun) %>%
full_join(parlament2015 %>%
select(mun = name, lon, lat), by = 'mun') %>%
mun_renaming()
data_prov %>% subset(!complete.cases(data_prov))
data_prov_pos = data_prov %>% subset(complete.cases(data_prov))
parl2015_mun = data_prov_pos %>%
full_join(parlament2015 %>%
select(mun = name,
jxsi, psc, pp, catsp, cs, cup, other) %>% mun_renaming(), by = 'mun') %>%
ungroup()
parl2015_mun %>% subset(!complete.cases(parl2015_mun))
parl2015 = parl2015_mun %>%
subset(complete.cases(parl2015_mun))
parl2015_com = parl2015 %>%
gather(party, num, jxsi:other) %>%
group_by(prov, com, party) %>%
summarise(
num = sum(num, na.rm = TRUE)
) %>%
spread(party, num) %>%
select(prov, com, jxsi, psc, pp, catsp, cs, cup, other) %>%
ungroup()
library(readr)
parl2017 = read_delim('testing/t6011mun.csv', skip = 5, delim = ";",
col_types = 'cciiiiiiiii_') %>%
select(mun = Literal, cs = `C's`, jxcat = JUNTSxCAT, erc = `ERC-Cat Sí`, psc = PSC,
catsp = `Cat Comú-Podem`, cup = CUP, pp = PP, other = `Altres candidatures`) %>%
subset(mun != 'Catalunya') %>%
mutate(
mun = gsub("Residents absents ", "", mun),
mun = gsub("Residents absents ", "", mun)) %>%
group_by(mun) %>%
gather(party, votes, cs:other) %>%
group_by(mun, party) %>%
summarise(votes = sum(votes, na.rm=TRUE)) %>%
spread(party, votes) %>%
ungroup()
parl2017_mun = full_join(data_prov_pos, parl2017, by = 'mun')
subset(parl2017_mun, !complete.cases(parl2017_mun))
parl2017 = subset(parl2017_mun, complete.cases(parl2017_mun))
parl2017_com = parl2017 %>%
gather(party, num, catsp:psc) %>%
group_by(prov, com, party) %>%
summarise(
num = sum(num, na.rm = TRUE)
) %>%
spread(party, num) %>%
select(prov, com, jxcat, erc, psc, pp, catsp, cs, cup, other) %>%
ungroup()
parl2012 = read_delim('testing/t6011mun201200.csv', skip = 5, delim = ";",
col_types = 'cciiiiiiiii_') %>%
select(mun = Literal, cs = `C's`, ciu = CiU, erc = ERC, psc = PSC,
ic = IC, cup = CUP, pp = PP, other = `Altres candidatures`) %>%
subset(mun != 'Catalunya') %>%
mutate(
mun = gsub("Residents absents ", "", mun),
mun = gsub("Residents absents ", "", mun)) %>%
group_by(mun) %>%
gather(party, votes, cs:other) %>%
group_by(mun, party) %>%
summarise(votes = sum(votes, na.rm=TRUE)) %>%
spread(party, votes) %>%
ungroup()
parl2012_mun = full_join(data_prov_pos, parl2012, by = 'mun')
subset(parl2012_mun, !complete.cases(parl2012_mun))
parl2012 = subset(parl2012_mun, complete.cases(parl2012_mun))
parl2012_com = parl2012 %>%
gather(party, num, ciu:psc) %>%
group_by(prov, com, party) %>%
summarise(
num = sum(num, na.rm = TRUE)
) %>%
spread(party, num) %>%
select(prov, com, ciu, erc, psc, pp, ic, cs, cup, other) %>%
ungroup()
parl2010 = read_delim('testing/t6011mun201000.csv', skip = 6, delim = ";",
col_types = 'cciiiiii_ii_') %>%
select(mun = Literal, cs = `C's`, ciu = CiU, erc = ERC, psc = PSC,
ic = IC, pp = PP, other = `Altres candidatures`) %>%
subset(mun != 'Catalunya') %>%
mutate(
mun = gsub("Residents absents ", "", mun),
mun = gsub("Residents absents ", "", mun)) %>%
group_by(mun) %>%
gather(party, votes, cs:other) %>%
group_by(mun, party) %>%
summarise(votes = sum(votes, na.rm=TRUE)) %>%
spread(party, votes) %>%
ungroup()
parl2010_mun = full_join(data_prov_pos, parl2010, by = 'mun')
subset(parl2010_mun, !complete.cases(parl2010_mun))
parl2010 = subset(parl2010_mun, complete.cases(parl2010_mun))
parl2010_com = parl2010 %>%
gather(party, num, ciu:psc) %>%
group_by(prov, com, party) %>%
summarise(
num = sum(num, na.rm = TRUE)
) %>%
spread(party, num) %>%
select(prov, com, ciu, erc, psc, pp, ic, cs, other) %>%
ungroup()
parl2006 = read_delim('testing/t6011mun200600.csv', skip = 6, delim = ";",
col_types = 'cciiiiii_ii_') %>%
select(mun = Literal, cs = `C's`, ciu = CiU, erc = ERC, psc = PSC,
ic = IC, pp = PP, other = `Altres candidatures`) %>%
subset(mun != 'Catalunya') %>%
mutate(
mun = gsub("Residents absents ", "", mun),
mun = gsub("Residents absents ", "", mun)) %>%
group_by(mun) %>%
gather(party, votes, cs:other) %>%
group_by(mun, party) %>%
summarise(votes = sum(votes, na.rm=TRUE)) %>%
spread(party, votes) %>%
ungroup()
parl2006_mun = full_join(data_prov_pos, parl2006, by = 'mun')
subset(parl2006_mun, !complete.cases(parl2006_mun))
parl2006 = subset(parl2006_mun, complete.cases(parl2006_mun))
parl2006_com = parl2006 %>%
gather(party, num, ciu:psc) %>%
group_by(prov, com, party) %>%
summarise(
num = sum(num, na.rm = TRUE)
) %>%
spread(party, num) %>%
select(prov, com, ciu, erc, psc, pp, ic, cs, other) %>%
ungroup()
parl2003 = read_delim('testing/t6011mun200300.csv', skip = 6, delim = ";",
col_types = 'cciiiii__ii_') %>%
select(mun = Literal, ciu = CiU, erc = ERC, psc = PSC,
ic = IC, pp = PP, other = `Altres candidatures`) %>%
subset(mun != 'Catalunya') %>%
mutate(
mun = gsub("Residents absents ", "", mun),
mun = gsub("Residents absents ", "", mun)) %>%
group_by(mun) %>%
gather(party, votes, ciu:other) %>%
group_by(mun, party) %>%
summarise(votes = sum(votes, na.rm=TRUE)) %>%
spread(party, votes) %>%
ungroup()
parl2003_mun = full_join(data_prov_pos, parl2003, by = 'mun')
subset(parl2003_mun, !complete.cases(parl2003_mun))
parl2003 = subset(parl2003_mun, complete.cases(parl2003_mun))
parl2003_com = parl2003 %>%
gather(party, num, ciu:psc) %>%
group_by(prov, com, party) %>%
summarise(
num = sum(num, na.rm = TRUE)
) %>%
spread(party, num) %>%
select(prov, com, ciu, erc, psc, pp, ic, other) %>%
ungroup()
parl1999 = read_delim('testing/t6011mun199900.csv', skip = 6, delim = ";",
col_types = 'cciiiii__ii_') %>%
select(mun = Literal, ciu = CiU, erc = ERC, psc = PSC,
ic = IC, pp = PP, other = `Altres candidatures`) %>%
subset(mun != 'Catalunya') %>%
mutate(
mun = gsub("Residents absents ", "", mun),
mun = gsub("Residents absents ", "", mun)) %>%
group_by(mun) %>%
gather(party, votes, ciu:other) %>%
group_by(mun, party) %>%
summarise(votes = sum(votes, na.rm=TRUE)) %>%
spread(party, votes) %>%
ungroup()
parl1999_mun = full_join(data_prov_pos, parl1999, by = 'mun')
subset(parl1999_mun, !complete.cases(parl1999_mun))
parl1999 = subset(parl1999_mun, complete.cases(parl1999_mun))
parl1999_com = parl1999 %>%
gather(party, num, ciu:psc) %>%
group_by(prov, com, party) %>%
summarise(
num = sum(num, na.rm = TRUE)
) %>%
spread(party, num) %>%
select(prov, com, ciu, erc, psc, pp, ic, other) %>%
ungroup()
parl1995 = read_delim('testing/t6011mun199500.csv', skip = 6, delim = ";",
col_types = 'cciiiii__ii_') %>%
select(mun = Literal, ciu = CiU, erc = ERC, psc = PSC,
ic = IC, pp = PP, other = `Altres candidatures`) %>%
subset(mun != 'Catalunya') %>%
mutate(
mun = gsub("Residents absents ", "", mun),
mun = gsub("Residents absents ", "", mun)) %>%
group_by(mun) %>%
gather(party, votes, ciu:other) %>%
group_by(mun, party) %>%
summarise(votes = sum(votes, na.rm=TRUE)) %>%
spread(party, votes) %>%
ungroup()
parl1995_mun = full_join(data_prov_pos, parl1995, by = 'mun')
subset(parl1995_mun, !complete.cases(parl1995_mun))
parl1995 = subset(parl1995_mun, complete.cases(parl1995_mun))
parl1995_com = parl1995 %>%
gather(party, num, ciu:psc) %>%
group_by(prov, com, party) %>%
summarise(
num = sum(num, na.rm = TRUE)
) %>%
spread(party, num) %>%
select(prov, com, ciu, erc, psc, pp, ic, other) %>%
ungroup()
parl1992 = read_delim('testing/t6011mun199200.csv', skip = 6, delim = ";",
col_types = 'cciiiii__ii_') %>%
select(mun = Literal, ciu = CiU, erc = ERC, psc = PSC,
ic = IC, pp = PP, other = `Altres candidatures`) %>%
subset(mun != 'Catalunya') %>%
mutate(
mun = gsub("Residents absents ", "", mun),
mun = gsub("Residents absents ", "", mun)) %>%
mun_renaming() %>%
group_by(mun) %>%
gather(party, votes, ciu:other) %>%
group_by(mun, party) %>%
summarise(votes = sum(votes, na.rm=TRUE)) %>%
spread(party, votes) %>%
ungroup()
parl1992_mun = full_join(data_prov_pos, parl1992, by = 'mun')
subset(parl1992_mun, !complete.cases(parl1992_mun))
parl1992 = subset(parl1992_mun, complete.cases(parl1992_mun))
parl1992_com = parl1992 %>%
gather(party, num, ciu:psc) %>%
group_by(prov, com, party) %>%
summarise(
num = sum(num, na.rm = TRUE)
) %>%
spread(party, num) %>%
select(prov, com, ciu, erc, psc, pp, ic, other) %>%
ungroup()
parl1988 = read_delim('testing/t6011mun198800.csv', skip = 6, delim = ";",
col_types = 'cciiiii__ii_') %>%
select(mun = Literal, ciu = CiU, erc = ERC, psc = PSC,
ic = IC, pp = PP, other = `Altres candidatures`) %>%
subset(mun != 'Catalunya') %>%
mutate(
mun = gsub("Residents absents ", "", mun),
mun = gsub("Residents absents ", "", mun)) %>%
mun_renaming() %>%
group_by(mun) %>%
gather(party, votes, ciu:other) %>%
group_by(mun, party) %>%
summarise(votes = sum(votes, na.rm=TRUE)) %>%
spread(party, votes) %>%
ungroup()
parl1988_mun = full_join(data_prov_pos, parl1988, by = 'mun')
subset(parl1988_mun, !complete.cases(parl1988_mun))
parl1988 = subset(parl1988_mun, complete.cases(parl1988_mun))
parl1988_com = parl1988 %>%
gather(party, num, ciu:psc) %>%
group_by(prov, com, party) %>%
summarise(
num = sum(num, na.rm = TRUE)
) %>%
spread(party, num) %>%
select(prov, com, ciu, erc, psc, pp, ic, other) %>%
ungroup()
parl1984 = read_delim('testing/t6011mun198400.csv', skip = 6, delim = ";",
col_types = 'cciiiii__ii_') %>%
select(mun = Literal, ciu = CiU, erc = ERC, psc = PSC,
ic = IC, pp = PP, other = `Altres candidatures`) %>%
subset(mun != 'Catalunya') %>%
mutate(
mun = gsub("Residents absents ", "", mun),
mun = gsub("Residents absents ", "", mun)) %>%
mun_renaming() %>%
group_by(mun) %>%
gather(party, votes, ciu:other) %>%
group_by(mun, party) %>%
summarise(votes = sum(votes, na.rm=TRUE)) %>%
spread(party, votes) %>%
ungroup()
parl1984_mun = full_join(data_prov_pos, parl1984, by = 'mun')
subset(parl1984_mun, !complete.cases(parl1984_mun))
parl1984 = subset(parl1984_mun, complete.cases(parl1984_mun))
parl1984_com = parl1984 %>%
gather(party, num, ciu:psc) %>%
group_by(prov, com, party) %>%
summarise(
num = sum(num, na.rm = TRUE)
) %>%
spread(party, num) %>%
select(prov, com, ciu, erc, psc, pp, ic, other) %>%
ungroup()
parl1980 = read_delim('testing/t6011mun198000.csv', skip = 6, delim = ";",
col_types = 'cciiiii__ii_') %>%
select(mun = Literal, ciu = CiU, erc = ERC, psc = PSC,
ic = IC, pp = PP, other = `Altres candidatures`) %>%
subset(mun != 'Catalunya') %>%
mutate(
mun = gsub("Residents absents ", "", mun),
mun = gsub("Residents absents ", "", mun)) %>%
mun_renaming() %>%
group_by(mun) %>%
gather(party, votes, ciu:other) %>%
group_by(mun, party) %>%
summarise(votes = sum(votes, na.rm=TRUE)) %>%
spread(party, votes) %>%
ungroup()
parl1980_mun = full_join(data_prov_pos, parl1980, by = 'mun')
subset(parl1980_mun, !complete.cases(parl1980_mun))
parl1980 = subset(parl1980_mun, complete.cases(parl1984_mun))
parl1980_com = parl1980 %>%
gather(party, num, ciu:psc) %>%
group_by(prov, com, party) %>%
summarise(
num = sum(num, na.rm = TRUE)
) %>%
spread(party, num) %>%
select(prov, com, ciu, erc, psc, pp, ic, other) %>%
ungroup()
get_votes = function(.data, year){
.data %>%
select(-prov,-com, -lon, -lat) %>%
gather(party, votes, -mun) %>%
mutate(year = year)
}
parliament_elections = bind_rows(
parl1980 %>% get_votes(1980),
parl1984 %>% get_votes(1984),
parl1988 %>% get_votes(1988),
parl1992 %>% get_votes(1992),
parl1995 %>% get_votes(1995),
parl1999 %>% get_votes(1999),
parl2003 %>% get_votes(2003),
parl2006 %>% get_votes(2006),
parl2010 %>% get_votes(2010),
parl2012 %>% get_votes(2012),
parl2015 %>% get_votes(2015),
parl2017 %>% get_votes(2017)) %>%
select(year, mun, party, votes) %>%
arrange(desc(year), mun, party, votes)
municipality_information = data_prov_pos
save(municipality_information, parliament_elections,
file = 'data/catalan_elections.RData')
mcomas/coda.base documentation built on Dec. 3, 2023, 5:08 a.m.
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library(dplyr)
library(tidyr)
load('testing/emex.RData')
load('testing/parliament2015.RData')
mun_renaming = function(.data) .data %>%
mutate(
mun = gsub('^Brunyola$', 'Brunyola i Sant Martí Sapresa', mun),
mun = gsub('^Calonge$', 'Calonge i Sant Antoni', mun),
mun = gsub('^Palmerola$', 'Llosses, les', mun)
)
emex.data[emex.data$com == 'Alt Camp', 'prov'] = 'Tarragona'
emex.data[emex.data$prov == 'LLeida', 'prov'] = 'Lleida'
data_prov = emex.data %>% select(prov, com, mun) %>%
full_join(parlament2015 %>%
select(mun = name, lon, lat), by = 'mun') %>%
mun_renaming()
data_prov %>% subset(!complete.cases(data_prov))
data_prov_pos = data_prov %>% subset(complete.cases(data_prov))
parl2015_mun = data_prov_pos %>%
full_join(parlament2015 %>%
select(mun = name,
jxsi, psc, pp, catsp, cs, cup, other) %>% mun_renaming(), by = 'mun') %>%
ungroup()
parl2015_mun %>% subset(!complete.cases(parl2015_mun))
parl2015 = parl2015_mun %>%
subset(complete.cases(parl2015_mun))
parl2015_com = parl2015 %>%
gather(party, num, jxsi:other) %>%
group_by(prov, com, party) %>%
summarise(
num = sum(num, na.rm = TRUE)
) %>%
spread(party, num) %>%
select(prov, com, jxsi, psc, pp, catsp, cs, cup, other) %>%
ungroup()
library(readr)
parl2017 = read_delim('testing/t6011mun.csv', skip = 5, delim = ";",
col_types = 'cciiiiiiiii_') %>%
select(mun = Literal, cs = `C's`, jxcat = JUNTSxCAT, erc = `ERC-Cat Sí`, psc = PSC,
catsp = `Cat Comú-Podem`, cup = CUP, pp = PP, other = `Altres candidatures`) %>%
subset(mun != 'Catalunya') %>%
mutate(
mun = gsub("Residents absents ", "", mun),
mun = gsub("Residents absents ", "", mun)) %>%
group_by(mun) %>%
gather(party, votes, cs:other) %>%
group_by(mun, party) %>%
summarise(votes = sum(votes, na.rm=TRUE)) %>%
spread(party, votes) %>%
ungroup()
parl2017_mun = full_join(data_prov_pos, parl2017, by = 'mun')
subset(parl2017_mun, !complete.cases(parl2017_mun))
parl2017 = subset(parl2017_mun, complete.cases(parl2017_mun))
parl2017_com = parl2017 %>%
gather(party, num, catsp:psc) %>%
group_by(prov, com, party) %>%
summarise(
num = sum(num, na.rm = TRUE)
) %>%
spread(party, num) %>%
select(prov, com, jxcat, erc, psc, pp, catsp, cs, cup, other) %>%
ungroup()
parl2012 = read_delim('testing/t6011mun201200.csv', skip = 5, delim = ";",
col_types = 'cciiiiiiiii_') %>%
select(mun = Literal, cs = `C's`, ciu = CiU, erc = ERC, psc = PSC,
ic = IC, cup = CUP, pp = PP, other = `Altres candidatures`) %>%
subset(mun != 'Catalunya') %>%
mutate(
mun = gsub("Residents absents ", "", mun),
mun = gsub("Residents absents ", "", mun)) %>%
group_by(mun) %>%
gather(party, votes, cs:other) %>%
group_by(mun, party) %>%
summarise(votes = sum(votes, na.rm=TRUE)) %>%
spread(party, votes) %>%
ungroup()
parl2012_mun = full_join(data_prov_pos, parl2012, by = 'mun')
subset(parl2012_mun, !complete.cases(parl2012_mun))
parl2012 = subset(parl2012_mun, complete.cases(parl2012_mun))
parl2012_com = parl2012 %>%
gather(party, num, ciu:psc) %>%
group_by(prov, com, party) %>%
summarise(
num = sum(num, na.rm = TRUE)
) %>%
spread(party, num) %>%
select(prov, com, ciu, erc, psc, pp, ic, cs, cup, other) %>%
ungroup()
parl2010 = read_delim('testing/t6011mun201000.csv', skip = 6, delim = ";",
col_types = 'cciiiiii_ii_') %>%
select(mun = Literal, cs = `C's`, ciu = CiU, erc = ERC, psc = PSC,
ic = IC, pp = PP, other = `Altres candidatures`) %>%
subset(mun != 'Catalunya') %>%
mutate(
mun = gsub("Residents absents ", "", mun),
mun = gsub("Residents absents ", "", mun)) %>%
group_by(mun) %>%
gather(party, votes, cs:other) %>%
group_by(mun, party) %>%
summarise(votes = sum(votes, na.rm=TRUE)) %>%
spread(party, votes) %>%
ungroup()
parl2010_mun = full_join(data_prov_pos, parl2010, by = 'mun')
subset(parl2010_mun, !complete.cases(parl2010_mun))
parl2010 = subset(parl2010_mun, complete.cases(parl2010_mun))
parl2010_com = parl2010 %>%
gather(party, num, ciu:psc) %>%
group_by(prov, com, party) %>%
summarise(
num = sum(num, na.rm = TRUE)
) %>%
spread(party, num) %>%
select(prov, com, ciu, erc, psc, pp, ic, cs, other) %>%
ungroup()
parl2006 = read_delim('testing/t6011mun200600.csv', skip = 6, delim = ";",
col_types = 'cciiiiii_ii_') %>%
select(mun = Literal, cs = `C's`, ciu = CiU, erc = ERC, psc = PSC,
ic = IC, pp = PP, other = `Altres candidatures`) %>%
subset(mun != 'Catalunya') %>%
mutate(
mun = gsub("Residents absents ", "", mun),
mun = gsub("Residents absents ", "", mun)) %>%
group_by(mun) %>%
gather(party, votes, cs:other) %>%
group_by(mun, party) %>%
summarise(votes = sum(votes, na.rm=TRUE)) %>%
spread(party, votes) %>%
ungroup()
parl2006_mun = full_join(data_prov_pos, parl2006, by = 'mun')
subset(parl2006_mun, !complete.cases(parl2006_mun))
parl2006 = subset(parl2006_mun, complete.cases(parl2006_mun))
parl2006_com = parl2006 %>%
gather(party, num, ciu:psc) %>%
group_by(prov, com, party) %>%
summarise(
num = sum(num, na.rm = TRUE)
) %>%
spread(party, num) %>%
select(prov, com, ciu, erc, psc, pp, ic, cs, other) %>%
ungroup()
parl2003 = read_delim('testing/t6011mun200300.csv', skip = 6, delim = ";",
col_types = 'cciiiii__ii_') %>%
select(mun = Literal, ciu = CiU, erc = ERC, psc = PSC,
ic = IC, pp = PP, other = `Altres candidatures`) %>%
subset(mun != 'Catalunya') %>%
mutate(
mun = gsub("Residents absents ", "", mun),
mun = gsub("Residents absents ", "", mun)) %>%
group_by(mun) %>%
gather(party, votes, ciu:other) %>%
group_by(mun, party) %>%
summarise(votes = sum(votes, na.rm=TRUE)) %>%
spread(party, votes) %>%
ungroup()
parl2003_mun = full_join(data_prov_pos, parl2003, by = 'mun')
subset(parl2003_mun, !complete.cases(parl2003_mun))
parl2003 = subset(parl2003_mun, complete.cases(parl2003_mun))
parl2003_com = parl2003 %>%
gather(party, num, ciu:psc) %>%
group_by(prov, com, party) %>%
summarise(
num = sum(num, na.rm = TRUE)
) %>%
spread(party, num) %>%
select(prov, com, ciu, erc, psc, pp, ic, other) %>%
ungroup()
parl1999 = read_delim('testing/t6011mun199900.csv', skip = 6, delim = ";",
col_types = 'cciiiii__ii_') %>%
select(mun = Literal, ciu = CiU, erc = ERC, psc = PSC,
ic = IC, pp = PP, other = `Altres candidatures`) %>%
subset(mun != 'Catalunya') %>%
mutate(
mun = gsub("Residents absents ", "", mun),
mun = gsub("Residents absents ", "", mun)) %>%
group_by(mun) %>%
gather(party, votes, ciu:other) %>%
group_by(mun, party) %>%
summarise(votes = sum(votes, na.rm=TRUE)) %>%
spread(party, votes) %>%
ungroup()
parl1999_mun = full_join(data_prov_pos, parl1999, by = 'mun')
subset(parl1999_mun, !complete.cases(parl1999_mun))
parl1999 = subset(parl1999_mun, complete.cases(parl1999_mun))
parl1999_com = parl1999 %>%
gather(party, num, ciu:psc) %>%
group_by(prov, com, party) %>%
summarise(
num = sum(num, na.rm = TRUE)
) %>%
spread(party, num) %>%
select(prov, com, ciu, erc, psc, pp, ic, other) %>%
ungroup()
parl1995 = read_delim('testing/t6011mun199500.csv', skip = 6, delim = ";",
col_types = 'cciiiii__ii_') %>%
select(mun = Literal, ciu = CiU, erc = ERC, psc = PSC,
ic = IC, pp = PP, other = `Altres candidatures`) %>%
subset(mun != 'Catalunya') %>%
mutate(
mun = gsub("Residents absents ", "", mun),
mun = gsub("Residents absents ", "", mun)) %>%
group_by(mun) %>%
gather(party, votes, ciu:other) %>%
group_by(mun, party) %>%
summarise(votes = sum(votes, na.rm=TRUE)) %>%
spread(party, votes) %>%
ungroup()
parl1995_mun = full_join(data_prov_pos, parl1995, by = 'mun')
subset(parl1995_mun, !complete.cases(parl1995_mun))
parl1995 = subset(parl1995_mun, complete.cases(parl1995_mun))
parl1995_com = parl1995 %>%
gather(party, num, ciu:psc) %>%
group_by(prov, com, party) %>%
summarise(
num = sum(num, na.rm = TRUE)
) %>%
spread(party, num) %>%
select(prov, com, ciu, erc, psc, pp, ic, other) %>%
ungroup()
parl1992 = read_delim('testing/t6011mun199200.csv', skip = 6, delim = ";",
col_types = 'cciiiii__ii_') %>%
select(mun = Literal, ciu = CiU, erc = ERC, psc = PSC,
ic = IC, pp = PP, other = `Altres candidatures`) %>%
subset(mun != 'Catalunya') %>%
mutate(
mun = gsub("Residents absents ", "", mun),
mun = gsub("Residents absents ", "", mun)) %>%
mun_renaming() %>%
group_by(mun) %>%
gather(party, votes, ciu:other) %>%
group_by(mun, party) %>%
summarise(votes = sum(votes, na.rm=TRUE)) %>%
spread(party, votes) %>%
ungroup()
parl1992_mun = full_join(data_prov_pos, parl1992, by = 'mun')
subset(parl1992_mun, !complete.cases(parl1992_mun))
parl1992 = subset(parl1992_mun, complete.cases(parl1992_mun))
parl1992_com = parl1992 %>%
gather(party, num, ciu:psc) %>%
group_by(prov, com, party) %>%
summarise(
num = sum(num, na.rm = TRUE)
) %>%
spread(party, num) %>%
select(prov, com, ciu, erc, psc, pp, ic, other) %>%
ungroup()
parl1988 = read_delim('testing/t6011mun198800.csv', skip = 6, delim = ";",
col_types = 'cciiiii__ii_') %>%
select(mun = Literal, ciu = CiU, erc = ERC, psc = PSC,
ic = IC, pp = PP, other = `Altres candidatures`) %>%
subset(mun != 'Catalunya') %>%
mutate(
mun = gsub("Residents absents ", "", mun),
mun = gsub("Residents absents ", "", mun)) %>%
mun_renaming() %>%
group_by(mun) %>%
gather(party, votes, ciu:other) %>%
group_by(mun, party) %>%
summarise(votes = sum(votes, na.rm=TRUE)) %>%
spread(party, votes) %>%
ungroup()
parl1988_mun = full_join(data_prov_pos, parl1988, by = 'mun')
subset(parl1988_mun, !complete.cases(parl1988_mun))
parl1988 = subset(parl1988_mun, complete.cases(parl1988_mun))
parl1988_com = parl1988 %>%
gather(party, num, ciu:psc) %>%
group_by(prov, com, party) %>%
summarise(
num = sum(num, na.rm = TRUE)
) %>%
spread(party, num) %>%
select(prov, com, ciu, erc, psc, pp, ic, other) %>%
ungroup()
parl1984 = read_delim('testing/t6011mun198400.csv', skip = 6, delim = ";",
col_types = 'cciiiii__ii_') %>%
select(mun = Literal, ciu = CiU, erc = ERC, psc = PSC,
ic = IC, pp = PP, other = `Altres candidatures`) %>%
subset(mun != 'Catalunya') %>%
mutate(
mun = gsub("Residents absents ", "", mun),
mun = gsub("Residents absents ", "", mun)) %>%
mun_renaming() %>%
group_by(mun) %>%
gather(party, votes, ciu:other) %>%
group_by(mun, party) %>%
summarise(votes = sum(votes, na.rm=TRUE)) %>%
spread(party, votes) %>%
ungroup()
parl1984_mun = full_join(data_prov_pos, parl1984, by = 'mun')
subset(parl1984_mun, !complete.cases(parl1984_mun))
parl1984 = subset(parl1984_mun, complete.cases(parl1984_mun))
parl1984_com = parl1984 %>%
gather(party, num, ciu:psc) %>%
group_by(prov, com, party) %>%
summarise(
num = sum(num, na.rm = TRUE)
) %>%
spread(party, num) %>%
select(prov, com, ciu, erc, psc, pp, ic, other) %>%
ungroup()
parl1980 = read_delim('testing/t6011mun198000.csv', skip = 6, delim = ";",
col_types = 'cciiiii__ii_') %>%
select(mun = Literal, ciu = CiU, erc = ERC, psc = PSC,
ic = IC, pp = PP, other = `Altres candidatures`) %>%
subset(mun != 'Catalunya') %>%
mutate(
mun = gsub("Residents absents ", "", mun),
mun = gsub("Residents absents ", "", mun)) %>%
mun_renaming() %>%
group_by(mun) %>%
gather(party, votes, ciu:other) %>%
group_by(mun, party) %>%
summarise(votes = sum(votes, na.rm=TRUE)) %>%
spread(party, votes) %>%
ungroup()
parl1980_mun = full_join(data_prov_pos, parl1980, by = 'mun')
subset(parl1980_mun, !complete.cases(parl1980_mun))
parl1980 = subset(parl1980_mun, complete.cases(parl1984_mun))
parl1980_com = parl1980 %>%
gather(party, num, ciu:psc) %>%
group_by(prov, com, party) %>%
summarise(
num = sum(num, na.rm = TRUE)
) %>%
spread(party, num) %>%
select(prov, com, ciu, erc, psc, pp, ic, other) %>%
ungroup()
get_votes = function(.data, year){
.data %>%
select(-prov,-com, -lon, -lat) %>%
gather(party, votes, -mun) %>%
mutate(year = year)
}
parliament_elections = bind_rows(
parl1980 %>% get_votes(1980),
parl1984 %>% get_votes(1984),
parl1988 %>% get_votes(1988),
parl1992 %>% get_votes(1992),
parl1995 %>% get_votes(1995),
parl1999 %>% get_votes(1999),
parl2003 %>% get_votes(2003),
parl2006 %>% get_votes(2006),
parl2010 %>% get_votes(2010),
parl2012 %>% get_votes(2012),
parl2015 %>% get_votes(2015),
parl2017 %>% get_votes(2017)) %>%
select(year, mun, party, votes) %>%
arrange(desc(year), mun, party, votes)
municipality_information = data_prov_pos
save(municipality_information, parliament_elections,
file = 'data/catalan_elections.RData')
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