library(tidyverse)
library(scales)
library(anytime)
theme_set(jbkmisc::theme_jbk())
data <- dir(path = "stor_data/", full.names = TRUE) %>%
map(read_csv) %>%
reduce(bind_rows)
data <- data %>%
mutate(EPOCH = anytime(EPOCH / 1000))
datag <- data %>%
group_by(SID, `Masking View`) %>%
summarise(uniques = n_distinct(`Total Capacity (MB)`)) %>%
mutate(cambio = ifelse(uniques > 1, "Cambio", "Sin cambio")) %>%
select(SID, `Masking View`, cambio)
data <- left_join(data, datag)
p <- data %>%
filter(!is.na(SID)) %>%
ggplot() +
geom_line(aes(EPOCH, `Total Capacity (MB)`, group = `Masking View`, color = cambio), alpha = 0.6) +
scale_y_continuous(labels = comma) +
facet_wrap(~SID)
plotly::ggplotly(p)