Get state transition open->proposal label
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index.Rmd
64
index.Rmd
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@ -18,9 +18,10 @@ The following data is based purely on public knowledge. This means data is fetch
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library(gh)
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library(tidyverse)
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library(hrbrthemes)
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library(survminer)
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import_roboto_condensed()
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extrafont::loadfonts(device="win")
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# import_roboto_condensed()
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# extrafont::loadfonts(device = "win")
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cbbPalette <- c("#000000", "#E69F00", "#56B4E9", "#009E73", "#F0E442", "#0072B2", "#D55E00", "#CC79A7")
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```
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@ -242,7 +243,34 @@ if (!exists("element_employee") || !exists("famedly_employee") || !exists("beepe
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# Get times for state transitions
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```{r message=FALSE, warning=FALSE, tidy = "styler"}
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opened_to_proposal <- issues_gql_all
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# Opened to Proposal transition
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opened_to_proposal <- issues_gql_all |>
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filter(!is.na(labels) && is.element("proposal", labels$name)) |>
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select(title, author, createdAt, labels)
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for (i in 1:length(opened_to_proposal$labels)) {
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opened_to_proposal$labels[[i]] <- opened_to_proposal$labels[[i]] |>
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rowwise() |>
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filter(is.element("proposal", name))
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}
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opened_to_proposal <- opened_to_proposal |>
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mutate(proposalAt = labels$createdAt) |>
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select(title, author, createdAt, proposalAt)
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opened_to_proposal <- opened_to_proposal |>
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mutate(Company = case_when(
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!is.null(author) && is.element(author, element_employee) ~ "Element",
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!is.null(author) && is.element(author, sct_employee) ~ "SCT",
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!is.null(author) && is.element(author, famedly_employee) ~ "Famedly",
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!is.null(author) && is.element(author, beeper_employee) ~ "Beeper",
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TRUE ~ "Other"
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)) |>
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group_by(Company)
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# Proposal to having impl
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# FIXME this doesnt work at this time as we dont know when the labels got removed. We need timelineItems() in the graphql query for this
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# proposal_to_impl <- issues_gql_all |>
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# filter(!is.na(labels) && is.element("proposal", labels$name)) |>
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# select(title, author, createdAt)
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```
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# MSCs by Company (all kind)
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@ -275,20 +303,20 @@ mscs_beeper <- mscs |>
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mscs_other <- nrow(mscs) - mscs_element - mscs_beeper - mscs_famedly - mscs_sct
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# Display Data
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data <- data.frame(Company = c("Beeper", "Element", "Famedly", "Other", "SCT"), Count=c(mscs_beeper,mscs_element,mscs_famedly,mscs_other,mscs_sct))
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data <- map_df(data,rev)
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data <- data.frame(Company = c("Beeper", "Element", "Famedly", "Other", "SCT"), Count = c(mscs_beeper, mscs_element, mscs_famedly, mscs_other, mscs_sct))
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data <- map_df(data, rev)
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data$Company <- factor(data$Company, levels = data$Company)
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# Basic piechart
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ggplot(data, aes(x = Company, y = Count)) +
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geom_bar(stat = "identity", fill="#69b3a2") +
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geom_bar(stat = "identity", fill = "#69b3a2") +
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theme_ipsum() +
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theme(
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panel.grid.minor.y = element_blank(),
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panel.grid.major.y = element_blank(),
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legend.position="none"
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) +
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panel.grid.minor.y = element_blank(),
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panel.grid.major.y = element_blank(),
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legend.position = "none"
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) +
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labs(
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title = str_wrap("MSCs from companies", 40),
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caption = "source: Github API",
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@ -297,7 +325,6 @@ ggplot(data, aes(x = Company, y = Count)) +
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xlab("") +
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geom_text(
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aes(label = Count),
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vjust = 0.5,
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hjust = 1.5,
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colour = "white"
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) +
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@ -334,20 +361,20 @@ merged_beeper <- merged_mscs |>
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merged_other <- nrow(merged_mscs) - merged_element - merged_beeper - merged_famedly - merged_sct
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# Display Data
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data <- data.frame(Company = c("Beeper", "Element", "Famedly", "Other", "SCT"), Count=c(merged_beeper,merged_element,merged_famedly,merged_other,merged_sct))
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data <- map_df(data,rev)
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data <- data.frame(Company = c("Beeper", "Element", "Famedly", "Other", "SCT"), Count = c(merged_beeper, merged_element, merged_famedly, merged_other, merged_sct))
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data <- map_df(data, rev)
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data$Company <- factor(data$Company, levels = data$Company)
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# Basic piechart
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ggplot(data, aes(x = Company, y = Count)) +
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geom_bar(stat = "identity", fill="#69b3a2") +
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geom_bar(stat = "identity", fill = "#69b3a2") +
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theme_ipsum() +
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theme(
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panel.grid.minor.y = element_blank(),
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panel.grid.major.y = element_blank(),
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legend.position="none"
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) +
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panel.grid.minor.y = element_blank(),
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panel.grid.major.y = element_blank(),
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legend.position = "none"
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) +
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labs(
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title = str_wrap("Merged MSCs from companies", 40),
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caption = "source: Github API",
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@ -356,7 +383,6 @@ ggplot(data, aes(x = Company, y = Count)) +
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xlab("") +
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geom_text(
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aes(label = Count),
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vjust = 0.5,
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hjust = 1.5,
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colour = "white"
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) +
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36
index.md
36
index.md
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@ -25,9 +25,10 @@ is fetched from github and gitlab as best as I was able to.
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library(gh)
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library(tidyverse)
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library(hrbrthemes)
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library(survminer)
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import_roboto_condensed()
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extrafont::loadfonts(device = "win")
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# import_roboto_condensed()
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# extrafont::loadfonts(device = "win")
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cbbPalette <- c("#000000", "#E69F00", "#56B4E9", "#009E73", "#F0E442", "#0072B2", "#D55E00", "#CC79A7")
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```
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@ -247,7 +248,34 @@ if (!exists("element_employee") || !exists("famedly_employee") || !exists("beepe
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# Get times for state transitions
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``` r
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opened_to_proposal <- issues_gql_all
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# Opened to Proposal transition
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opened_to_proposal <- issues_gql_all |>
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filter(!is.na(labels) && is.element("proposal", labels$name)) |>
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select(title, author, createdAt, labels)
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for (i in 1:length(opened_to_proposal$labels)) {
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opened_to_proposal$labels[[i]] <- opened_to_proposal$labels[[i]] |>
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rowwise() |>
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filter(is.element("proposal", name))
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}
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opened_to_proposal <- opened_to_proposal |>
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mutate(proposalAt = labels$createdAt) |>
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select(title, author, createdAt, proposalAt)
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opened_to_proposal <- opened_to_proposal |>
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mutate(Company = case_when(
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!is.null(author) && is.element(author, element_employee) ~ "Element",
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!is.null(author) && is.element(author, sct_employee) ~ "SCT",
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!is.null(author) && is.element(author, famedly_employee) ~ "Famedly",
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!is.null(author) && is.element(author, beeper_employee) ~ "Beeper",
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TRUE ~ "Other"
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)) |>
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group_by(Company)
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# Proposal to having impl
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# FIXME this doesnt work at this time as we dont know when the labels got removed. We need timelineItems() in the graphql query for this
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# proposal_to_impl <- issues_gql_all |>
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# filter(!is.na(labels) && is.element("proposal", labels$name)) |>
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# select(title, author, createdAt)
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```
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# MSCs by Company (all kind)
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@ -301,7 +329,6 @@ ggplot(data, aes(x = Company, y = Count)) +
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xlab("") +
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geom_text(
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aes(label = Count),
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vjust = 0.5,
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hjust = 1.5,
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colour = "white"
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) +
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@ -361,7 +388,6 @@ ggplot(data, aes(x = Company, y = Count)) +
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xlab("") +
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geom_text(
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aes(label = Count),
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vjust = 0.5,
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hjust = 1.5,
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colour = "white"
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) +
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