Closed cayetanaasencio closed 2 years ago
Sorry for late answer. I don't have something clean to share, it's in my todo for a while.
You can recreate the first two plots like this:
library(data.table)
library(shinylogs)
library(ggplot2)
logs <- read_json_logs("path/to/logs/")
# Number of connection per applications
ggplot(data = logs$session[, .N, by = app][order(N)]) +
aes(x = factor(app, app), y = N) +
geom_col(fill = "#112446") +
coord_flip() +
scale_y_continuous(expand = expansion(c(0, 0.1))) +
labs(
title = "Number of connections per application",
x = NULL, y = "total number of connections"
) +
theme_minimal()
# Number of connections per day
logs$session[, date_server_connected := as.Date(substr(server_connected, 1, 10))]
ggplot(data = logs$session[, .N, by = date_server_connected][order(date_server_connected)]) +
aes(x = date_server_connected, y = N) +
geom_col(fill = "#112446") +
scale_y_continuous(expand = expansion(c(0, 0.1))) +
labs(
title = "Number of connections per day",
x = NULL, y = "number of connections"
) +
theme_minimal()
Victor
Hi. Thanks for this amazing pack.
Please, How can I replicate the graphs of ggplot2 to track activity?
I see that for each session a log is generated, so I would like to join all the files and make the graphs like those of ggplot2, to analyze the activity, for example, the number of clicks on a button.