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mw-lifecycle-analysis/121325_work/misc.R

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1.3 KiB
R

library(tidyverse)
library(dplyr)
library(lubridate)
c1_event_date <- as.Date("2013-07-01")
c2_event_date <- as.Date("2013-08-28")
c3_event_date <- as.Date("2015-07-02")
relative_week <- function(date, ref_date) {
as.integer(as.numeric(difftime(date, ref_date, units = "days")) %/% 7)
}
core_csv <-"~/121325_work/121225_vd_data/core_2010-01-01_to_2024-12-31.csv"
core_df <- read.csv(core_csv, header = TRUE)
core_df <- core_df |>
mutate(commit_date = ymd_hms(commit_date)) |>
mutate(isAuthorWMF = case_when(
grepl("krinkle@fastmail\\.com", author_email, ignore.case = TRUE) ~ "TRUE",
grepl("@wikimedia\\.org", author_email, ignore.case = TRUE) ~ "TRUE",
grepl("@wikimedia\\.de", author_email, ignore.case = TRUE) ~ "TRUE",
grepl("@gerrit\\.wikimedia\\.org", author_email, ignore.case = TRUE) ~ "Gerrit",
TRUE ~ "FALSE"
)) |>
mutate(isVE = case_when(
grepl("VisualEditor", message, ignore.case = TRUE) ~ TRUE,
grepl(" VE ", message, ignore.case = TRUE) ~ TRUE,
TRUE ~ FALSE
))
c1_core_weekly <- core_df |>
mutate(week_index = relative_week(commit_date, c1_event_date)) |>
group_by(week_index, isVE)|>
summarise(count = n(), .groups = 'drop')|>
filter(week_index >= -33 & week_index <= 13) |>
mutate(source = 'c1')
true_ <- c1_core_weekly |>
filter(isVE == TRUE)