2024-06-24 17:30:21 +00:00
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library(tidyverse)
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#things to get:
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# - delete old age column
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# - normal age, in date
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# - age from today in days
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# - delta between first commit and document in days
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#README Document updates
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#loading in new ages
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####RDD CSV
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first_commit_df <- read_csv("../062424_did_first_commit_readme.csv")
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first_commit_df_2 <- read_csv("../062424_did_first_commit_readme_2.csv")
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first_commit_df <- rbind(first_commit_df, first_commit_df_2)
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# need to first do an rbind with this data and the second file
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# check with the head of the file/size of the file
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old_rdd_readme <- read_csv("../final_data/deb_readme_did.csv")
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old_rdd_readme <- merge(old_rdd_readme, first_commit_df, by="upstream_vcs_link")
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new_rm_data <- old_rdd_readme |>
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mutate(first_commit_dt = as.POSIXct(first_commit,
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format = "%a %b %d %H:%M:%S %Y %z")) |>
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mutate(age_in_days =
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as.numeric(
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difftime(
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as.POSIXct("2024-06-24 00:00:00", format = "%Y-%m-%d %H:%M:%S"),
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first_commit_dt,
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units = "days"))) |>
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mutate (event_gap =
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as.numeric(
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difftime(
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as.POSIXct(event_date, format = "%Y-%m-%d %H:%M:%S"),
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first_commit_dt,
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units = "days")))
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head(new_rm_data)
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new_rm_data$age_of_project = NULL
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head(new_rm_data)
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write.csv(new_rm_data, file = "../final_data/deb_readme_did_updated.csv", row.names = FALSE)
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####PopChange CSV
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old_pop_readme <- read_csv("../final_data/deb_readme_pop_change.csv")
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old_pop_readme <- merge(old_pop_readme, first_commit_df, by="upstream_vcs_link")
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new_pop_data <- old_pop_readme |>
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mutate(first_commit_dt = as.POSIXct(first_commit,
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format = "%a %b %d %H:%M:%S %Y %z")) |>
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mutate(age_in_days =
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as.numeric(
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difftime(
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as.POSIXct("2024-06-24 00:00:00", format = "%Y-%m-%d %H:%M:%S"),
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first_commit_dt,
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units = "days"))) |>
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mutate (event_gap =
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as.numeric(
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difftime(
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as.POSIXct(event_date, format = "%Y-%m-%d %H:%M:%S"),
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first_commit_dt,
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units = "days")))
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new_pop_data$age_of_project = NULL
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head(new_pop_data)
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write.csv(new_pop_data, file = "../final_data/deb_readme_pop_change_updated.csv", row.names = FALSE)
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#CONTRIBUTING Document updates
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2024-06-24 17:52:26 +00:00
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first_commit_contrib <- read_csv("../062424_did_first_commit_contrib.csv")
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2024-06-24 17:30:21 +00:00
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####RDD CSV
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old_rdd_contrib <- read_csv("../final_data/deb_contrib_did.csv")
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2024-06-24 17:52:26 +00:00
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old_rdd_contrib <- merge(old_rdd_contrib, first_commit_contrib, by="upstream_vcs_link")
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new_rdd_contrib_data <- old_rdd_contrib |>
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mutate(first_commit_dt = as.POSIXct(first_commit,
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format = "%a %b %d %H:%M:%S %Y %z")) |>
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mutate(age_in_days =
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as.numeric(
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difftime(
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as.POSIXct("2024-06-24 00:00:00", format = "%Y-%m-%d %H:%M:%S"),
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first_commit_dt,
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units = "days"))) |>
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mutate (event_gap =
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as.numeric(
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difftime(
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as.POSIXct(event_date, format = "%Y-%m-%d %H:%M:%S"),
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first_commit_dt,
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units = "days")))
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new_rdd_contrib_data$age_of_project = NULL
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write.csv(new_rdd_contrib_data, file = "../final_data/deb_contrib_did_change_updated.csv", row.names = FALSE)
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2024-06-24 17:30:21 +00:00
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####PopChange CSV
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2024-06-24 17:52:26 +00:00
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old_pop_contrib <- read_csv("../final_data/deb_contrib_pop_change.csv")
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old_pop_contrib <- merge(old_pop_contrib, first_commit_contrib, by="upstream_vcs_link")
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new_pop_contrib_data <- old_pop_contrib |>
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mutate(first_commit_dt = as.POSIXct(first_commit,
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format = "%a %b %d %H:%M:%S %Y %z")) |>
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mutate(age_in_days =
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as.numeric(
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difftime(
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as.POSIXct("2024-06-24 00:00:00", format = "%Y-%m-%d %H:%M:%S"),
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first_commit_dt,
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units = "days"))) |>
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mutate (event_gap =
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as.numeric(
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difftime(
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as.POSIXct(event_date, format = "%Y-%m-%d %H:%M:%S"),
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first_commit_dt,
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units = "days")))
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new_pop_contrib_data$age_of_project = NULL
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write.csv(new_pop_contrib_data, file = "../final_data/deb_contrib_pop_change_updated.csv", row.names = FALSE)
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