Nothing
regions <- get_country_items() countries <- Reduce(function(l1, l2) {unique(c(l1, l2))}, lapply(as.integer(params$countries), function(i) unlist(regions[[i]]$codes))) region_names <- lapply(as.integer(params$countries), function(i) regions[[i]]$name)
Parameters
r params$topics
r region_names
r params$period_type
r params$period
r params$with_retweets
r params$location_type
r as.character(params$alert_alpha)
r as.character(params$alert_alpha_outlier)
r as.character(params$alert_k_decay)
r params$alert_historic
r params$bonferroni_correction
r params$same_weekday_baseline
line_chart_from_filters( params$topics, params$countries, params$period_type, params$period, params$with_retweets, params$location_type, params$alert_alpha, params$alert_alpha_outlier, params$alert_k_decay, params$alert_historic, params$bonferroni_correction, params$same_weekday_baseline )$chart
map_chart_from_filters( params$topics, params$countries, params$period, params$with_retweets, params$location_type )$chart
r params$top_type1
charttop_chart_from_filters( params$topics, params$top_type1, params$countries, params$period, params$with_retweets, params$location_type, 20 )$chart
r params$top_type2
charttop_chart_from_filters( params$topics, params$top_type2, params$countries, params$period, params$with_retweets, params$location_type, 20 )$chart
r paste("Top URLS of tweets mentioning", params$topic, "from", params$periond[[1]], "to", params$period[[2]])
df <- top_chart_from_filters( params$topics, "urls", params$countries, params$period, params$with_retweets, params$location_type, 50 )$data if(is.data.frame(df)) { knitr::kable(df) } else "No data found for the selected filters"
Top urls table only considers tweet location, ignoring the location type parameter
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