erre <- get_twitter_data_from_database(people = 'ierrejon')
erre$catalunya <- grepl('cataluña|catala|cataluny', tolower(erre$tweet))
erre$auto <- grepl('autodeterminación', tolower(erre$tweet))
erre$asturias <- grepl('asturias', tolower(erre$tweet))
erre$month <- as.Date(cut(erre$date, 'month'))
erre$year <- as.Date(cut(erre$date, 'year'))
pd <- erre %>%
group_by(month, catalunya) %>%
tally %>%
group_by(month) %>%
mutate(p = n / sum(n) * 100) %>%
filter(catalunya)
left <- expand.grid(month = seq(min(erre$month),
max(erre$month),
by = 'month'))
pd <- left_join(left, pd)
pd$p[is.na(pd$p)] <- 0
ggplot(data = pd,
aes(x = month,
y = p)) +
geom_bar(stat = 'identity')
recent <- erre %>% filter(catalunya)
View(recent)
recent <- erre %>% filter(asturias)
View(recent)
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