# Basic knitr options library(knitr) opts_chunk$set(comment = NA, echo = FALSE, warning = FALSE, message = FALSE, error = TRUE, cache = FALSE, fig.path = 'figures/')
# Libraries library(vilaweb) library(rtweet) library(tidyverse) library(databrew) library(translateR) library(sentimentr) # https://github.com/trinker/sentimentr
# Get most recent tweets from ciudadanos tmls <- get_timelines(c('PSOE', 'PPopular', 'CiudadanosCs','vox_es'), n = 400) key_dict <- data.frame(key= c('cent', 'comandos', 'violencia'), new_key = c('"155"', '"Comandos"', '"Violencia"'), stringsAsFactors = FALSE) %>% mutate(new_key = factor(new_key, levels = c('"Comandos"', '"Violencia"', '"155"'))) pd <- tmls %>% group_by(date = as.Date(cut(created_at, 'day')), person = screen_name) %>% summarise(cent = length(which(grepl('155', tolower(text), fixed = TRUE))), comandos = length(which(grepl('comando', tolower(text)))), violencia = length(which(grepl('violen', tolower(text)))), separatista = length(which(grepl('separatis', tolower(text)))), n = n()) %>% ungroup %>% gather(key, value, cent:separatista) %>% filter(date>= '2018-11-01') %>% filter(key %in% c('cent')) %>% left_join(key_dict) %>% dplyr::select(-key) %>% dplyr::rename(key = new_key) ggplot(data = pd, aes(x = date, y = value, fill = person)) + geom_bar(stat = 'identity') + facet_wrap(~key, ncol = 1) + theme_vilaweb() + scale_fill_manual(name = '', values = databrew::make_colors(n = length(unique(pd$person)))) + scale_x_date(breaks = sort(unique(pd$date))) + theme(legend.position = 'right') + labs(x = '', y = 'Tuits', title = 'Tuits que contenen les paraules següents', subtitle = '"Comandos" | "Violencia" | "155". Darrers 14 dies.', caption = '"Violencia" inclou també "violenta", "violentos", etc.') + theme(axis.text.x = element_text(angle = 90), strip.text = element_text(size = 20)) ggsave('fig.png')
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.