86 lines
4.4 KiB
R
86 lines
4.4 KiB
R
library(tidyverse)
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df_path <-"/mmfs1/home/mjilg/git/mw-lifecycle-analysis/p2/071425_master_discussion_data.csv"
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combined_df <- read.csv(df_path, header = TRUE) |>
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filter(comment_type == "task_description")
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combined_count_df <- combined_df |>
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group_by(AuthorWMFAffil, week_index, source) %>%
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summarise(unique_count = n_distinct(id),
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closed_relevance_count = sum(closed_relevance == TRUE, na.rm = TRUE),
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closed_relevance_resolved_count = sum(closed_relevance == TRUE & status == "resolved", na.rm = TRUE),
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closed_relevance_resolved_prop = closed_relevance_resolved_count / unique_count,
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closed_relevance_prop = closed_relevance_count / unique_count,
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.groups = "drop")
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library(scales)
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library(ggplot2)
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affiliationColors <-
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setNames( c('#5da2d8', '#c7756a')
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,c("False", "True"))
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new_tasks <- combined_count_df |>
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ggplot(aes(x=week_index,
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y=closed_relevance_resolved_prop,
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fill=factor(AuthorWMFAffil))) +
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geom_col(position='dodge2') +
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labs(x = "Relative Week", y = "% of New Tasks Resolved by Deployment's End", fill="Task Author") +
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geom_vline(data = combined_df |> filter(source == "c1"),
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aes(xintercept = -29),
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linetype = "dotted", color = "black", linewidth = 0.5) +
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geom_vline(data = combined_df |> filter(source == "c1"),
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aes(xintercept = -9),
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linetype = "dotted", color = "black", linewidth = 0.5) +
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geom_vline(data = combined_df |> filter(source == "c1"),
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aes(xintercept = -4),
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linetype = "3313", color = "black", linewidth = 0.5) +
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geom_vline(data = combined_df |> filter(source == "c2"),
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aes(xintercept = -99),
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linetype = "dotted", color = "black", linewidth = 0.5) +
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geom_vline(data = combined_df |> filter(source == "c2"),
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aes(xintercept = -4),
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linetype = "3313", color = "black", linewidth = 0.5) +
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geom_vline(data = combined_df |> filter(source == "c3"),
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aes(xintercept = -97),
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linetype = "dotted", color = "black", linewidth = 0.5) +
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geom_vline(data = combined_df |> filter(source == "c3"),
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aes(xintercept = -3),
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linetype = "3313", color = "black", linewidth = 0.5) +
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geom_text(data = data.frame(source = "c1", relative_week = -43, lengthened_commit_count = 0.95),
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aes(x = relative_week, y = lengthened_commit_count, label = "Opt-In Testing Deployment"),
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inherit.aes = FALSE, color = "black", size = 4) +
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geom_vline(xintercept = 0, linetype = "dashed", color = "black", linewidth = 0.5) + # Add vertical line at week 0
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geom_text(data = data.frame(source = "c2", relative_week = 8, lengthened_commit_count = 0.95),
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aes(x = relative_week, y = lengthened_commit_count, label = "Wide Deployment"),
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inherit.aes = FALSE, color = "black", size = 4) +
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geom_text(data = data.frame(source = "c3", relative_week = -18, lengthened_commit_count = 0.95),
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aes(x = relative_week, y = lengthened_commit_count, label = "Wide Deployment Announcement"),
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inherit.aes = FALSE, color = "black", size = 4) +
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scale_fill_manual(values = affiliationColors,
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labels = c("False" = "Unaffiliated",
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"True" = "WMF-affiliated")) +
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ggtitle("% of Tasks Resolved Within Three Months of Wide-release") +
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theme_bw()+
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theme(
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legend.position = "top",
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plot.title = element_text(size = 18, face = "bold"), # Increase title font size
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axis.title.x = element_text(size = 16), # Increase x-axis title font size
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axis.title.y = element_text(size = 16), # Increase y-axis title font size
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axis.text.x = element_text(size = 16), # Increase x-axis text font size
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axis.text.y = element_text(size = 16), # Increase y-axis text font size
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legend.text = element_text(size = 16), # Increase legend text font size
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legend.title = element_text(size = 16),
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strip.text = element_text(size = 14)# Increase legend title font size
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) +
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facet_wrap(~source, nrow = 3, scales = "free_y", labeller = labeller(source = c(
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"c1" = "VisualEditor (2013)",
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"c2" = "HTTPS-as-default (2013)",
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"c3" = "HTTP-deprecation (2015)"
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)))
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new_tasks
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ggsave(filename = "073125-fossy-tasks-resolved.png", plot = new_tasks, width = 15, height = 9, dpi = 800)
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