commit d1cedb7f2d011f8896f169338db7f0403702ea64 Author: Karsten Loesing karsten.loesing@gmx.net Date: Fri Jan 11 10:48:47 2019 +0100
Leave gaps for missing data. --- src/main/R/rserver/graphs.R | 47 ++++++++++++++++++++++++++++++--------------- 1 file changed, 31 insertions(+), 16 deletions(-)
diff --git a/src/main/R/rserver/graphs.R b/src/main/R/rserver/graphs.R index 18a9d3e..0d7a90c 100644 --- a/src/main/R/rserver/graphs.R +++ b/src/main/R/rserver/graphs.R @@ -405,7 +405,9 @@ plot_versions <- function(start_p, end_p, path_p) { stringsAsFactors = FALSE) versions <- s[s$version %in% known_versions, ] visible_versions <- sort(unique(versions$version)) - ggplot(versions, aes(x = date, y = relays, colour = version)) + + versions <- versions %>% + complete(date = full_seq(date, period = 1), nesting(version)) %>% + ggplot(aes(x = date, y = relays, colour = version)) + geom_line() + scale_x_date(name = "", breaks = custom_breaks, labels = custom_labels, minor_breaks = custom_minor_breaks) + @@ -433,6 +435,7 @@ prepare_platforms <- function(start_p = NULL, end_p = NULL) { plot_platforms <- function(start_p, end_p, path_p) { prepare_platforms(start_p, end_p) %>% gather(platform, relays, -date) %>% + complete(date = full_seq(date, period = 1), nesting(platform)) %>% ggplot(aes(x = date, y = relays, colour = platform)) + geom_line() + scale_x_date(name = "", breaks = custom_breaks, @@ -470,6 +473,7 @@ prepare_dirbytes <- function(start_p = NULL, end_p = NULL) { plot_dirbytes <- function(start_p, end_p, path_p) { prepare_dirbytes(start_p, end_p) %>% gather(variable, value, -date) %>% + complete(date = full_seq(date, period = 1), nesting(variable)) %>% ggplot(aes(x = date, y = value, colour = variable)) + geom_line() + scale_x_date(name = "", breaks = custom_breaks, @@ -695,10 +699,10 @@ prepare_connbidirect <- function(start_p = NULL, end_p = NULL) {
plot_connbidirect <- function(start_p, end_p, path_p) { prepare_connbidirect(start_p, end_p) %>% - ggplot(aes(x = date, y = md, colour = direction)) + - geom_line(size = 0.75) + - geom_ribbon(aes(x = date, ymin = q1, ymax = q3, - fill = direction), alpha = 0.5, show.legend = FALSE) + + complete(date = full_seq(date, period = 1), nesting(direction)) %>% + ggplot(aes(x = date, y = md, ymin = q1, ymax = q3, fill = direction)) + + geom_ribbon(alpha = 0.5) + + geom_line(aes(colour = direction), size = 0.75) + scale_x_date(name = "", breaks = custom_breaks, labels = custom_labels, minor_breaks = custom_minor_breaks) + scale_y_continuous(name = "", labels = percent, limits = c(0, NA)) + @@ -1013,11 +1017,12 @@ plot_userstats_bridge_combined <- function(start_p, end_p, country_p, path_p) { a <- aggregate(list(mid = (u$high + u$low) / 2), by = list(transport = u$transport), FUN = sum) a <- a[order(a$mid, decreasing = TRUE)[1:top], ] - u <- u[u$transport %in% a$transport, ] + u <- u[u$transport %in% a$transport, ] %>% + complete(date = full_seq(date, period = 1), nesting(country, transport)) title <- paste("Bridge users by transport from ", countryname(country_p), sep = "") ggplot(u, aes(x = as.Date(date), ymin = low, ymax = high, - colour = transport, fill = transport)) + + fill = transport)) + geom_ribbon(alpha = 0.5, size = 0.5) + scale_x_date(name = "", breaks = custom_breaks, labels = custom_labels, minor_breaks = custom_minor_breaks) + @@ -1055,6 +1060,7 @@ plot_advbwdist_perc <- function(start_p, end_p, p_p, path_p) { gather(variable, advbw, -c(date, p)) %>% mutate(variable = ifelse(variable == "all", "All relays", "Exits only")) %>% + complete(date = full_seq(date, period = 1), nesting(p, variable)) %>% ggplot(aes(x = date, y = advbw, colour = p)) + facet_grid(variable ~ .) + geom_line() + @@ -1092,6 +1098,7 @@ plot_advbwdist_relay <- function(start_p, end_p, n_p, path_p) { gather(variable, advbw, -c(date, n)) %>% mutate(variable = ifelse(variable == "all", "All relays", "Exits only")) %>% + complete(date = full_seq(date, period = 1), nesting(n, variable)) %>% ggplot(aes(x = date, y = advbw, colour = n)) + facet_grid(variable ~ .) + geom_line() + @@ -1123,6 +1130,7 @@ prepare_hidserv_dir_onions_seen <- function(start_p = NULL, end_p = NULL) {
plot_hidserv_dir_onions_seen <- function(start_p, end_p, path_p) { prepare_hidserv_dir_onions_seen(start_p, end_p) %>% + complete(date = full_seq(date, period = 1)) %>% ggplot(aes(x = date, y = onions)) + geom_line() + scale_x_date(name = "", breaks = custom_breaks, @@ -1152,6 +1160,7 @@ prepare_hidserv_rend_relayed_cells <- function(start_p = NULL, end_p = NULL) {
plot_hidserv_rend_relayed_cells <- function(start_p, end_p, path_p) { prepare_hidserv_rend_relayed_cells(start_p, end_p) %>% + complete(date = full_seq(date, period = 1)) %>% ggplot(aes(x = date, y = relayed)) + geom_line() + scale_x_date(name = "", breaks = custom_breaks, @@ -1192,6 +1201,8 @@ plot_webstats_tb <- function(start_p, end_p, path_p) { "update_requests"), labels = c("Initial downloads", "Signature downloads", "Update pings", "Update requests"))) %>% + ungroup() %>% + complete(date = full_seq(date, period = 1), nesting(request_type)) %>% ggplot(aes(x = date, y = count)) + geom_point() + geom_line() + @@ -1231,6 +1242,9 @@ plot_webstats_tb_platform <- function(start_p, end_p, path_p) { mutate(request_type = factor(request_type, levels = c("initial_downloads", "update_pings"), labels = c("Initial downloads", "Update pings"))) %>% + ungroup() %>% + complete(date = full_seq(date, period = 1), + nesting(platform, request_type)) %>% ggplot(aes(x = date, y = count, colour = platform)) + geom_point() + geom_line() + @@ -1299,6 +1313,7 @@ plot_webstats_tb_locale <- function(start_p, end_p, path_p) { theme(strip.text.y = element_text(angle = 0, hjust = 0, size = rel(1.5)), strip.background = element_rect(fill = NA), legend.position = "top") + + guides(col = guide_legend(nrow = 1)) + ggtitle("Tor Browser downloads and updates by locale") + labs(caption = copyright_notice) ggsave(filename = path_p, width = 8, height = 5, dpi = 150) @@ -1320,7 +1335,7 @@ prepare_webstats_tm <- function(start_p = NULL, end_p = NULL) { group_by(log_date, request_type) %>% summarize(count = sum(count)) %>% mutate(request_type = factor(request_type, levels = c("tmid", "tmup"))) %>% - spread(request_type, count, drop = FALSE) %>% + spread(request_type, count, drop = FALSE, fill = 0) %>% rename(date = log_date, initial_downloads = tmid, update_pings = tmup) }
@@ -1330,6 +1345,8 @@ plot_webstats_tm <- function(start_p, end_p, path_p) { mutate(request_type = factor(request_type, levels = c("initial_downloads", "update_pings"), labels = c("Initial downloads", "Update pings"))) %>% + ungroup() %>% + complete(date = full_seq(date, period = 1), nesting(request_type)) %>% ggplot(aes(x = date, y = count)) + geom_point() + geom_line() + @@ -1366,15 +1383,12 @@ prepare_relays_ipv6 <- function(start_p = NULL, end_p = NULL) { announced = sum(server_count_sum_avg[announced_ipv6]), reachable = sum(server_count_sum_avg[reachable_ipv6_relay]), exiting = sum(server_count_sum_avg[exiting_ipv6_relay])) %>% - complete(valid_after_date = full_seq(valid_after_date, period = 1)) %>% - gather(total, announced, reachable, exiting, key = "category", - value = "count") %>% - rename(date = valid_after_date) %>% - spread(category, count) + rename(date = valid_after_date) }
plot_relays_ipv6 <- function(start_p, end_p, path_p) { prepare_relays_ipv6(start_p, end_p) %>% + complete(date = full_seq(date, period = 1)) %>% gather(category, count, -date) %>% ggplot(aes(x = date, y = count, colour = category)) + geom_line() + @@ -1411,12 +1425,12 @@ prepare_bridges_ipv6 <- function(start_p = NULL, end_p = NULL) { group_by(valid_after_date) %>% summarize(total = sum(server_count_sum_avg), announced = sum(server_count_sum_avg[announced_ipv6])) %>% - complete(valid_after_date = full_seq(valid_after_date, period = 1)) %>% rename(date = valid_after_date) }
plot_bridges_ipv6 <- function(start_p, end_p, path_p) { prepare_bridges_ipv6(start_p, end_p) %>% + complete(date = full_seq(date, period = 1)) %>% gather(category, count, -date) %>% ggplot(aes(x = date, y = count, colour = category)) + geom_line() + @@ -1461,12 +1475,12 @@ prepare_advbw_ipv6 <- function(start_p = NULL, end_p = NULL) { reachable_ipv6_relay & exit_relay]), exiting = sum(advertised_bandwidth_bytes_sum_avg[ exiting_ipv6_relay])) %>% - complete(valid_after_date = full_seq(valid_after_date, period = 1)) %>% rename(date = valid_after_date) }
plot_advbw_ipv6 <- function(start_p, end_p, path_p) { prepare_advbw_ipv6(start_p, end_p) %>% + complete(date = full_seq(date, period = 1)) %>% gather(category, advbw, -date) %>% ggplot(aes(x = date, y = advbw, colour = category)) + geom_line() + @@ -1506,9 +1520,10 @@ prepare_totalcw <- function(start_p = NULL, end_p = NULL) {
plot_totalcw <- function(start_p, end_p, path_p) { prepare_totalcw(start_p, end_p) %>% - mutate(nickname = ifelse(nickname == "", "consensus", nickname)) %>% + mutate(nickname = ifelse(is.na(nickname), "consensus", nickname)) %>% mutate(nickname = factor(nickname, levels = c("consensus", unique(nickname[nickname != "consensus"])))) %>% + ungroup() %>% complete(date = full_seq(date, period = 1), nesting(nickname)) %>% ggplot(aes(x = date, y = totalcw, colour = nickname)) + geom_line(na.rm = TRUE) +