41 lines
1.6 KiB
R
41 lines
1.6 KiB
R
library(tidyverse)
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count_data_fp <-"/mmfs1/gscratch/comdata/users/mjilg/mw-repo-lifecycles/case1/event_0215_ve_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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time_plot <- input_df |>
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ggplot(aes(x=relative_week, y=jenkins_commit_count)) +
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labs(x="Weekly Offset", y="Gerrit/Jenkins 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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share_df <- input_df |>
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mutate(wikimedia_share = wikimedia_commit_count / nonbot_commit_count) |>
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mutate(wikia_share = wikia_commit_count / nonbot_commit_count) |>
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mutate(gerrit_share = jenkins_commit_count / nonbot_commit_count) |>
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mutate(mw_dev_share = mediawiki_dev_commit_count / nonbot_commit_count) |>
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mutate(other_share = (nonbot_commit_count - jenkins_commit_count - wikia_commit_count - wikimedia_commit_count - mediawiki_dev_commit_count) / nonbot_commit_count)|>
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drop_na()
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share_long <- share_df |>
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select(relative_week, wikimedia_share, wikia_share, gerrit_share, mw_dev_share, other_share) |>
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pivot_longer(cols = c(wikimedia_share, wikia_share, gerrit_share, mw_dev_share, other_share), names_to = "category", values_to = "share")
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share_plot <- share_long |>
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ggplot(aes(x=relative_week, y=share, color=category)) +
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geom_smooth() +
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geom_vline(xintercept = 0)+
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labs(x = "Relative Week", y = "Share of Nonbot Commit Count", color = "Affiliation") +
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ggtitle("Weekly Share of Nonbot Commit Count by Category") +
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theme_bw() +
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theme(legend.position = "top")
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share_plot
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