79 lines
3.1 KiB
R
79 lines
3.1 KiB
R
library(tidyverse)
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count_data_fp <-"/mmfs1/gscratch/comdata/users/mjilg/mw-repo-lifecycles/case3/event_0415_mediawiki_core_weekly_commit_count_data.csv"
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input_df <- read.csv(count_data_fp, header = TRUE)
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input_df$nonbot_commit_count <- input_df$commit_count - input_df$bot_commit_count
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library(scales)
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library(ggplot2)
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long_df <- input_df |>
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tidyr::pivot_longer(cols = c(nonbot_commit_count, unaff_new_commit_count, wmf_new_commit_count),
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names_to = "commit_type",
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values_to = "lengthened_commit_count")
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affiliationColors <-
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setNames( c('black','#5da2d8', '#c7756a')
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,c("nonbot_commit_count","unaff_new_commit_count", "wmf_new_commit_count"))
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new_authors <- long_df |>
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ggplot(aes(x=relative_week,
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y=lengthened_commit_count,
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color=factor(commit_type))) +
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geom_point() +
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geom_line() +
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labs(x = "Relative Week", y = "Commits", color="Commit Type") +
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scale_color_manual(values = affiliationColors,
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labels = c("nonbot_commit_count" = "Total Nonbot Commits",
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"unaff_new_commit_count" = "New Unaffiliated Commits",
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"wmf_new_commit_count" = "New WMF Commits")) +
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ggtitle("Total MW-core Commits Around HTTP-deprecation ('New' contributors <= 5 commits 04-01-2015 and 06-01-2015)") +
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theme_bw() +
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theme(legend.position = "top")
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new_authors
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ggsave(filename = "0403-https-core-event-new-commits.png", plot = new_authors, width = 12, height = 9, dpi = 800)
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window_num <- 12
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intermediate_df <- input_df |>
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mutate(nonbot_commit_count = commit_count - bot_commit_count)|>
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mutate(other_commit_count = nonbot_commit_count - mediawiki_dev_commit_count - wikimedia_commit_count) |>
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mutate(wikimedia_commit_count = wikimedia_commit_count + mediawiki_dev_commit_count) |>
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dplyr::select(-mediawiki_dev_commit_count) |>
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dplyr::select(-wikia_commit_count) |>
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filter(relative_week >= (- window_num) & relative_week <= (window_num))
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time_plot <- intermediate_df |>
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ggplot(aes(x=relative_week, y=nonbot_commit_count)) +
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labs(x="Weekly Offset", y="Nonbot Commit Count") +
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geom_smooth() +
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geom_vline(xintercept = 0)+
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theme_bw() +
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theme(legend.position = "top")
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time_plot
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library(dplyr)
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share_df <- intermediate_df |>
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mutate(wikimedia_share = wikimedia_commit_count / nonbot_commit_count) |>
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mutate(other_share = other_commit_count / nonbot_commit_count)|>
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drop_na()
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share_long <- share_df |>
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dplyr::select(relative_week, wikimedia_share, other_share) |>
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pivot_longer(cols = c(wikimedia_share, other_share), names_to = "category", values_to = "share")
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commit_share_plot <- share_long |>
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ggplot(aes(x=relative_week,
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y=share,
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color=category)) +
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geom_line() +
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geom_point() +
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labs(x = "Relative Week", y = "Share of Nonbot Commits", color="Commit Author Affiliation") +
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scale_color_discrete(labels = c("Unaffiliated", "Organizationally Affiliated")) +
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ggtitle("MW-core Nonbot Total Commit Share Around HTTP-deprecation") +
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theme_bw() +
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theme(legend.position = "top")
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commit_share_plot
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