mgaughan/mw-lifecycle-analysis
1
0
Fork 0
Code

updated with new work for RQ0 on different commits to different libraries

Browse Source
This commit is contained in:
Matthew Gaughan 2025-12-13 16:52:29 -08:00
parent b0d4950bee
commit 11cd084a6c
15 changed files with 1105782 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

79603
121325_work/121225_vd_data/VisualEditor_2010-01-01_to_2024-12-31.csv Normal file
View File

File diff suppressed because one or more lines are too long

513543
121325_work/121225_vd_data/core_2010-01-01_to_2024-12-31.csv Normal file
View File

File diff suppressed because one or more lines are too long

68729
121325_work/121225_vd_data/extension_VisualEditor_2000-01-01_to_2016-12-31.csv Normal file
View File

File diff suppressed because one or more lines are too long

195483
121325_work/121225_vd_data/mediawiki-config_2010-01-01_to_2024-12-31.csv Normal file
View File

File diff suppressed because one or more lines are too long

245543
121325_work/121225_vd_data/puppet_2000-01-01_to_2016-12-31.csv Normal file
View File

File diff suppressed because one or more lines are too long

120
121325_work/EDA_plots.R Normal file
View File

@ -0,0 +1,120 @@
library(tidyverse)
core_csv <-"~/121325_work/aggregate_dfs/121325_core_weekly.csv"
core_counts <- read.csv(core_csv, header = TRUE)
config_csv <-"~/121325_work/aggregate_dfs/121325_config_weekly.csv"
config_counts <- read.csv(config_csv, header = TRUE)
puppet_csv <-"~/121325_work/aggregate_dfs/121325_puppet_weekly.csv"
puppet_counts <- read.csv(puppet_csv, header = TRUE)
#core
core_counts <- core_counts |>
filter(isAuthorWMF != "Gerrit") |>
filter(isAuthorWMF != "localization")
core_commits_created <- ggplot(
core_counts,
aes(
x=week_index,
y=count,
fill=isAuthorWMF
)
) +
facet_grid(source ~ .,
scales = "free_y",
labeller = labeller(source = c("c1" = "VisualEditor",
"c2" = "HTTPS-login",
"c3" = "HTTP-deprecation"))) +
geom_col(position = position_dodge(width = 0.9), width = 0.8) +
geom_vline(data = core_counts |> filter(source == "c1"),
aes(xintercept = -29),
linetype = "dotted", color = "black", linewidth = 0.5) +
geom_vline(data = core_counts |> filter(source == "c1"),
aes(xintercept = -9),
linetype = "dotted", color = "black", linewidth = 0.5) +
geom_vline(data = core_counts |> filter(source == "c1"),
aes(xintercept = -4),
linetype = "3313", color = "black", linewidth = 0.5) +
geom_vline(data = core_counts |> filter(source == "c2"),
aes(xintercept = -99),
linetype = "dotted", color = "black", linewidth = 0.5) +
geom_vline(data = core_counts |> filter(source == "c2"),
aes(xintercept = -4),
linetype = "3313", color = "black", linewidth = 0.5) +
geom_vline(data = core_counts |> filter(source == "c3"),
aes(xintercept = -97),
linetype = "dotted", color = "black", linewidth = 0.5) +
geom_vline(data = core_counts |> filter(source == "c3"),
aes(xintercept = -3),
linetype = "3313", color = "black", linewidth = 0.5) +
geom_vline(xintercept = 0, linetype = "dashed", color = "black", linewidth = 0.5) +
geom_text(
data = subset(core_counts, source == "c1" & week_index == 6),
aes(x=week_index, y=100, label='Opt-out deployment'),
size = 2.5) +
geom_text(
data = subset(core_counts, source == "c1" & week_index == -33),
aes(x=week_index, y=100, label='Opt-in Testing'),
size = 2.5) +
geom_text(
data = subset(core_counts, source == "c2" & week_index == -12),
aes(x=week_index, y=100, label='Deployment Announcement'),
size = 2.5) +
theme_minimal() +
scale_fill_viridis_d() +
labs(
x = "Weeks from Feature Deployment",
y = "Count of wmf-config commits Created",
fill = "Commit Author Affiliated with WMF?"
) +
theme(legend.position = "top")
core_commits_created
#VE
ve_csv <-"~/121325_work/aggregate_dfs/121325_ve_weekly.csv"
ve_counts <- read.csv(ve_csv, header = TRUE)
ve_counts <- ve_counts |>
filter(isAuthorWMF != "Gerrit")|>
filter(source == 'c1')
ve_commits_created <-
ggplot(
ve_counts,
aes(
x=week_index,
y=count,
fill=isAuthorWMF
)
) +
facet_grid(source ~ .,
scales = "free_y",
labeller = labeller(source = c("c1" = "VisualEditor",
"c2" = "HTTPS-login",
"c3" = "HTTP-deprecation"))) +
geom_col(position = position_dodge(width = 0.9), width = 0.8) +
geom_vline(data = core_counts |> filter(source == "c1"),
aes(xintercept = -29),
linetype = "dotted", color = "black", linewidth = 0.5) +
geom_vline(data = core_counts |> filter(source == "c1"),
aes(xintercept = -9),
linetype = "dotted", color = "black", linewidth = 0.5) +
geom_vline(data = core_counts |> filter(source == "c1"),
aes(xintercept = -4),
linetype = "3313", color = "black", linewidth = 0.5) +
geom_vline(xintercept = 0, linetype = "dashed", color = "black", linewidth = 0.5) +
geom_text(
data = subset(core_counts, source == "c1" & week_index == 3),
aes(x=week_index, y=100, label='Opt-out deployment'),
size = 2.5) +
geom_text(
data = subset(core_counts, source == "c1" & week_index == -27),
aes(x=week_index, y=100, label='Opt-in Testing'),
size = 2.5) +
geom_text(
data = subset(core_counts, source == "c1" & week_index == -4),
aes(x=week_index, y=100, label='Deployment Announcement'),
size = 2.5) +
theme_minimal() +
scale_fill_viridis_d() +
labs(
x = "Weeks from Feature Deployment",
y = "Count of extensions/visualeditor commits Created",
fill = "Commit Author Affiliated with WMF?"
) +
theme(legend.position = "top")
ve_commits_created

643
121325_work/aggregate_dfs/121325_config_weekly.csv Normal file
View File

@ -0,0 +1,643 @@
"week_index","isAuthorWMF","count","source"
-33,"FALSE",9,"c1"
-33,"TRUE",65,"c1"
-32,"FALSE",8,"c1"
-32,"TRUE",23,"c1"
-31,"FALSE",13,"c1"
-31,"TRUE",38,"c1"
-30,"FALSE",18,"c1"
-30,"TRUE",42,"c1"
-29,"FALSE",32,"c1"
-29,"TRUE",44,"c1"
-28,"FALSE",25,"c1"
-28,"TRUE",21,"c1"
-27,"FALSE",9,"c1"
-27,"TRUE",13,"c1"
-26,"FALSE",17,"c1"
-26,"TRUE",30,"c1"
-25,"FALSE",20,"c1"
-25,"TRUE",39,"c1"
-24,"FALSE",22,"c1"
-24,"Gerrit",5,"c1"
-24,"TRUE",52,"c1"
-23,"FALSE",5,"c1"
-23,"Gerrit",1,"c1"
-23,"TRUE",24,"c1"
-22,"FALSE",11,"c1"
-22,"Gerrit",2,"c1"
-22,"TRUE",54,"c1"
-21,"FALSE",13,"c1"
-21,"Gerrit",2,"c1"
-21,"TRUE",61,"c1"
-20,"FALSE",12,"c1"
-20,"Gerrit",4,"c1"
-20,"TRUE",23,"c1"
-19,"FALSE",7,"c1"
-19,"Gerrit",1,"c1"
-19,"TRUE",29,"c1"
-18,"FALSE",17,"c1"
-18,"TRUE",43,"c1"
-17,"FALSE",12,"c1"
-17,"Gerrit",5,"c1"
-17,"TRUE",47,"c1"
-16,"FALSE",5,"c1"
-16,"Gerrit",2,"c1"
-16,"TRUE",47,"c1"
-15,"FALSE",10,"c1"
-15,"Gerrit",2,"c1"
-15,"TRUE",23,"c1"
-14,"FALSE",31,"c1"
-14,"Gerrit",1,"c1"
-14,"TRUE",35,"c1"
-13,"FALSE",16,"c1"
-13,"Gerrit",3,"c1"
-13,"TRUE",40,"c1"
-12,"FALSE",19,"c1"
-12,"Gerrit",8,"c1"
-12,"TRUE",37,"c1"
-11,"FALSE",22,"c1"
-11,"Gerrit",10,"c1"
-11,"TRUE",35,"c1"
-10,"FALSE",38,"c1"
-10,"Gerrit",8,"c1"
-10,"TRUE",27,"c1"
-9,"FALSE",23,"c1"
-9,"Gerrit",6,"c1"
-9,"TRUE",45,"c1"
-8,"FALSE",12,"c1"
-8,"Gerrit",5,"c1"
-8,"TRUE",40,"c1"
-7,"FALSE",22,"c1"
-7,"Gerrit",5,"c1"
-7,"TRUE",56,"c1"
-6,"FALSE",15,"c1"
-6,"Gerrit",2,"c1"
-6,"TRUE",20,"c1"
-5,"FALSE",7,"c1"
-5,"Gerrit",2,"c1"
-5,"TRUE",14,"c1"
-4,"FALSE",13,"c1"
-4,"Gerrit",8,"c1"
-4,"TRUE",46,"c1"
-3,"FALSE",10,"c1"
-3,"Gerrit",6,"c1"
-3,"TRUE",35,"c1"
-2,"FALSE",18,"c1"
-2,"Gerrit",7,"c1"
-2,"TRUE",22,"c1"
-1,"FALSE",9,"c1"
-1,"Gerrit",1,"c1"
-1,"TRUE",30,"c1"
0,"FALSE",22,"c1"
0,"Gerrit",12,"c1"
0,"TRUE",11,"c1"
1,"FALSE",20,"c1"
1,"Gerrit",5,"c1"
1,"TRUE",20,"c1"
2,"FALSE",25,"c1"
2,"Gerrit",6,"c1"
2,"TRUE",16,"c1"
3,"FALSE",22,"c1"
3,"Gerrit",6,"c1"
3,"TRUE",19,"c1"
4,"FALSE",18,"c1"
4,"Gerrit",11,"c1"
4,"TRUE",36,"c1"
5,"FALSE",13,"c1"
5,"TRUE",13,"c1"
6,"FALSE",3,"c1"
6,"Gerrit",1,"c1"
6,"TRUE",9,"c1"
7,"FALSE",17,"c1"
7,"Gerrit",3,"c1"
7,"TRUE",22,"c1"
8,"FALSE",13,"c1"
8,"Gerrit",5,"c1"
8,"TRUE",17,"c1"
9,"FALSE",7,"c1"
9,"TRUE",12,"c1"
10,"FALSE",21,"c1"
10,"Gerrit",4,"c1"
10,"TRUE",20,"c1"
11,"FALSE",15,"c1"
11,"Gerrit",8,"c1"
11,"TRUE",57,"c1"
12,"FALSE",12,"c1"
12,"Gerrit",3,"c1"
12,"TRUE",15,"c1"
13,"FALSE",13,"c1"
13,"Gerrit",2,"c1"
13,"TRUE",19,"c1"
-104,"FALSE",2,"c2"
-103,"FALSE",1,"c2"
-102,"FALSE",6,"c2"
-101,"FALSE",10,"c2"
-100,"FALSE",7,"c2"
-99,"FALSE",1,"c2"
-97,"FALSE",3,"c2"
-89,"FALSE",1,"c2"
-84,"FALSE",4,"c2"
-83,"FALSE",1,"c2"
-80,"FALSE",1,"c2"
-79,"FALSE",3,"c2"
-79,"TRUE",2,"c2"
-77,"FALSE",1,"c2"
-73,"FALSE",1,"c2"
-71,"FALSE",15,"c2"
-70,"FALSE",5,"c2"
-69,"FALSE",11,"c2"
-69,"TRUE",2,"c2"
-68,"FALSE",12,"c2"
-68,"TRUE",39,"c2"
-67,"FALSE",23,"c2"
-67,"TRUE",40,"c2"
-66,"FALSE",7,"c2"
-66,"TRUE",20,"c2"
-65,"FALSE",15,"c2"
-65,"TRUE",45,"c2"
-64,"FALSE",10,"c2"
-64,"TRUE",25,"c2"
-63,"FALSE",39,"c2"
-63,"TRUE",25,"c2"
-62,"FALSE",27,"c2"
-62,"TRUE",34,"c2"
-61,"FALSE",24,"c2"
-61,"TRUE",36,"c2"
-60,"FALSE",11,"c2"
-60,"TRUE",49,"c2"
-59,"FALSE",9,"c2"
-59,"TRUE",24,"c2"
-58,"FALSE",16,"c2"
-58,"TRUE",25,"c2"
-57,"FALSE",13,"c2"
-57,"TRUE",30,"c2"
-56,"FALSE",13,"c2"
-56,"TRUE",40,"c2"
-55,"FALSE",4,"c2"
-55,"TRUE",15,"c2"
-54,"FALSE",5,"c2"
-54,"TRUE",22,"c2"
-53,"FALSE",12,"c2"
-53,"TRUE",26,"c2"
-52,"FALSE",5,"c2"
-52,"TRUE",32,"c2"
-51,"FALSE",11,"c2"
-51,"TRUE",30,"c2"
-50,"FALSE",23,"c2"
-50,"TRUE",25,"c2"
-49,"FALSE",14,"c2"
-49,"TRUE",20,"c2"
-48,"FALSE",12,"c2"
-48,"TRUE",38,"c2"
-47,"FALSE",10,"c2"
-47,"TRUE",43,"c2"
-46,"FALSE",8,"c2"
-46,"TRUE",41,"c2"
-45,"FALSE",11,"c2"
-45,"TRUE",41,"c2"
-44,"FALSE",18,"c2"
-44,"TRUE",70,"c2"
-43,"FALSE",28,"c2"
-43,"TRUE",73,"c2"
-42,"FALSE",11,"c2"
-42,"TRUE",81,"c2"
-41,"FALSE",12,"c2"
-41,"TRUE",50,"c2"
-40,"FALSE",12,"c2"
-40,"TRUE",34,"c2"
-39,"FALSE",7,"c2"
-39,"TRUE",21,"c2"
-38,"FALSE",22,"c2"
-38,"TRUE",45,"c2"
-37,"FALSE",27,"c2"
-37,"TRUE",39,"c2"
-36,"FALSE",26,"c2"
-36,"TRUE",15,"c2"
-35,"FALSE",8,"c2"
-35,"TRUE",15,"c2"
-34,"FALSE",27,"c2"
-34,"TRUE",43,"c2"
-33,"FALSE",18,"c2"
-33,"TRUE",31,"c2"
-32,"FALSE",12,"c2"
-32,"Gerrit",5,"c2"
-32,"TRUE",55,"c2"
-31,"FALSE",10,"c2"
-31,"Gerrit",2,"c2"
-31,"TRUE",27,"c2"
-30,"FALSE",17,"c2"
-30,"Gerrit",2,"c2"
-30,"TRUE",71,"c2"
-29,"FALSE",5,"c2"
-29,"Gerrit",3,"c2"
-29,"TRUE",36,"c2"
-28,"FALSE",13,"c2"
-28,"Gerrit",2,"c2"
-28,"TRUE",26,"c2"
-27,"FALSE",14,"c2"
-27,"Gerrit",1,"c2"
-27,"TRUE",29,"c2"
-26,"FALSE",7,"c2"
-26,"Gerrit",2,"c2"
-26,"TRUE",57,"c2"
-25,"FALSE",15,"c2"
-25,"Gerrit",3,"c2"
-25,"TRUE",30,"c2"
-24,"FALSE",5,"c2"
-24,"Gerrit",3,"c2"
-24,"TRUE",52,"c2"
-23,"FALSE",19,"c2"
-23,"Gerrit",2,"c2"
-23,"TRUE",31,"c2"
-22,"FALSE",22,"c2"
-22,"Gerrit",3,"c2"
-22,"TRUE",41,"c2"
-21,"FALSE",23,"c2"
-21,"Gerrit",3,"c2"
-21,"TRUE",25,"c2"
-20,"FALSE",20,"c2"
-20,"Gerrit",7,"c2"
-20,"TRUE",37,"c2"
-19,"FALSE",37,"c2"
-19,"Gerrit",14,"c2"
-19,"TRUE",36,"c2"
-18,"FALSE",18,"c2"
-18,"Gerrit",6,"c2"
-18,"TRUE",35,"c2"
-17,"FALSE",20,"c2"
-17,"Gerrit",3,"c2"
-17,"TRUE",50,"c2"
-16,"FALSE",21,"c2"
-16,"Gerrit",8,"c2"
-16,"TRUE",44,"c2"
-15,"FALSE",16,"c2"
-15,"Gerrit",2,"c2"
-15,"TRUE",36,"c2"
-14,"FALSE",10,"c2"
-14,"Gerrit",3,"c2"
-14,"TRUE",18,"c2"
-13,"FALSE",7,"c2"
-13,"TRUE",12,"c2"
-12,"FALSE",16,"c2"
-12,"Gerrit",12,"c2"
-12,"TRUE",48,"c2"
-11,"FALSE",10,"c2"
-11,"Gerrit",9,"c2"
-11,"TRUE",44,"c2"
-10,"FALSE",17,"c2"
-10,"Gerrit",1,"c2"
-10,"TRUE",27,"c2"
-9,"FALSE",19,"c2"
-9,"Gerrit",7,"c2"
-9,"TRUE",18,"c2"
-8,"FALSE",23,"c2"
-8,"Gerrit",10,"c2"
-8,"TRUE",7,"c2"
-7,"FALSE",9,"c2"
-7,"Gerrit",4,"c2"
-7,"TRUE",19,"c2"
-6,"FALSE",31,"c2"
-6,"Gerrit",3,"c2"
-6,"TRUE",21,"c2"
-5,"FALSE",27,"c2"
-5,"Gerrit",13,"c2"
-5,"TRUE",35,"c2"
-4,"FALSE",3,"c2"
-4,"Gerrit",3,"c2"
-4,"TRUE",12,"c2"
-3,"FALSE",13,"c2"
-3,"TRUE",15,"c2"
-2,"FALSE",3,"c2"
-2,"Gerrit",4,"c2"
-2,"TRUE",15,"c2"
-1,"FALSE",20,"c2"
-1,"Gerrit",5,"c2"
-1,"TRUE",18,"c2"
0,"FALSE",12,"c2"
0,"TRUE",16,"c2"
1,"FALSE",9,"c2"
1,"Gerrit",2,"c2"
1,"TRUE",18,"c2"
2,"FALSE",23,"c2"
2,"Gerrit",8,"c2"
2,"TRUE",20,"c2"
3,"FALSE",17,"c2"
3,"Gerrit",5,"c2"
3,"TRUE",57,"c2"
4,"FALSE",11,"c2"
4,"TRUE",11,"c2"
5,"FALSE",26,"c2"
5,"Gerrit",6,"c2"
5,"TRUE",29,"c2"
6,"FALSE",29,"c2"
6,"Gerrit",3,"c2"
6,"TRUE",36,"c2"
7,"FALSE",17,"c2"
7,"Gerrit",8,"c2"
7,"TRUE",39,"c2"
8,"FALSE",16,"c2"
8,"Gerrit",3,"c2"
8,"TRUE",25,"c2"
9,"FALSE",12,"c2"
9,"Gerrit",7,"c2"
9,"TRUE",31,"c2"
10,"FALSE",23,"c2"
10,"Gerrit",7,"c2"
10,"TRUE",41,"c2"
11,"FALSE",15,"c2"
11,"Gerrit",4,"c2"
11,"TRUE",30,"c2"
12,"FALSE",21,"c2"
12,"Gerrit",2,"c2"
12,"TRUE",33,"c2"
13,"FALSE",18,"c2"
13,"Gerrit",7,"c2"
13,"TRUE",16,"c2"
-83,"FALSE",18,"c3"
-83,"Gerrit",11,"c3"
-83,"TRUE",18,"c3"
-82,"FALSE",46,"c3"
-82,"Gerrit",5,"c3"
-82,"TRUE",29,"c3"
-81,"FALSE",20,"c3"
-81,"Gerrit",3,"c3"
-81,"TRUE",17,"c3"
-80,"FALSE",21,"c3"
-80,"TRUE",8,"c3"
-79,"FALSE",19,"c3"
-79,"Gerrit",4,"c3"
-79,"TRUE",10,"c3"
-78,"FALSE",21,"c3"
-78,"Gerrit",3,"c3"
-78,"TRUE",36,"c3"
-77,"FALSE",24,"c3"
-77,"Gerrit",8,"c3"
-77,"TRUE",25,"c3"
-76,"FALSE",28,"c3"
-76,"Gerrit",2,"c3"
-76,"TRUE",18,"c3"
-75,"FALSE",34,"c3"
-75,"Gerrit",1,"c3"
-75,"TRUE",24,"c3"
-74,"FALSE",39,"c3"
-74,"Gerrit",5,"c3"
-74,"TRUE",18,"c3"
-73,"FALSE",25,"c3"
-73,"Gerrit",18,"c3"
-73,"TRUE",15,"c3"
-72,"FALSE",32,"c3"
-72,"Gerrit",8,"c3"
-72,"TRUE",28,"c3"
-71,"FALSE",16,"c3"
-71,"Gerrit",5,"c3"
-71,"TRUE",23,"c3"
-70,"FALSE",3,"c3"
-70,"Gerrit",10,"c3"
-70,"TRUE",20,"c3"
-69,"FALSE",20,"c3"
-69,"Gerrit",9,"c3"
-69,"TRUE",24,"c3"
-68,"FALSE",10,"c3"
-68,"Gerrit",7,"c3"
-68,"TRUE",25,"c3"
-67,"FALSE",18,"c3"
-67,"Gerrit",11,"c3"
-67,"TRUE",20,"c3"
-66,"FALSE",15,"c3"
-66,"Gerrit",7,"c3"
-66,"TRUE",28,"c3"
-65,"FALSE",21,"c3"
-65,"Gerrit",18,"c3"
-65,"TRUE",22,"c3"
-64,"FALSE",19,"c3"
-64,"Gerrit",4,"c3"
-64,"TRUE",29,"c3"
-63,"FALSE",14,"c3"
-63,"Gerrit",12,"c3"
-63,"TRUE",33,"c3"
-62,"FALSE",22,"c3"
-62,"Gerrit",12,"c3"
-62,"TRUE",32,"c3"
-61,"FALSE",10,"c3"
-61,"Gerrit",7,"c3"
-61,"TRUE",20,"c3"
-60,"FALSE",14,"c3"
-60,"Gerrit",7,"c3"
-60,"TRUE",21,"c3"
-59,"FALSE",19,"c3"
-59,"Gerrit",18,"c3"
-59,"TRUE",24,"c3"
-58,"FALSE",12,"c3"
-58,"Gerrit",6,"c3"
-58,"TRUE",24,"c3"
-57,"FALSE",11,"c3"
-57,"Gerrit",17,"c3"
-57,"TRUE",21,"c3"
-56,"FALSE",15,"c3"
-56,"Gerrit",4,"c3"
-56,"TRUE",31,"c3"
-55,"FALSE",15,"c3"
-55,"Gerrit",9,"c3"
-55,"TRUE",16,"c3"
-54,"FALSE",18,"c3"
-54,"Gerrit",14,"c3"
-54,"TRUE",23,"c3"
-53,"FALSE",14,"c3"
-53,"Gerrit",17,"c3"
-53,"TRUE",24,"c3"
-52,"FALSE",19,"c3"
-52,"Gerrit",6,"c3"
-52,"TRUE",23,"c3"
-51,"FALSE",11,"c3"
-51,"Gerrit",9,"c3"
-51,"TRUE",27,"c3"
-50,"FALSE",19,"c3"
-50,"Gerrit",12,"c3"
-50,"TRUE",16,"c3"
-49,"FALSE",20,"c3"
-49,"Gerrit",13,"c3"
-49,"TRUE",31,"c3"
-48,"FALSE",10,"c3"
-48,"Gerrit",1,"c3"
-48,"TRUE",11,"c3"
-47,"FALSE",12,"c3"
-47,"Gerrit",1,"c3"
-47,"TRUE",8,"c3"
-46,"FALSE",33,"c3"
-46,"Gerrit",20,"c3"
-46,"TRUE",20,"c3"
-45,"FALSE",16,"c3"
-45,"Gerrit",5,"c3"
-45,"TRUE",13,"c3"
-44,"FALSE",20,"c3"
-44,"Gerrit",11,"c3"
-44,"TRUE",52,"c3"
-43,"FALSE",15,"c3"
-43,"Gerrit",5,"c3"
-43,"TRUE",35,"c3"
-42,"FALSE",31,"c3"
-42,"Gerrit",8,"c3"
-42,"TRUE",48,"c3"
-41,"FALSE",18,"c3"
-41,"Gerrit",13,"c3"
-41,"TRUE",31,"c3"
-40,"FALSE",32,"c3"
-40,"Gerrit",10,"c3"
-40,"TRUE",32,"c3"
-39,"FALSE",17,"c3"
-39,"Gerrit",10,"c3"
-39,"TRUE",28,"c3"
-38,"FALSE",20,"c3"
-38,"TRUE",14,"c3"
-37,"FALSE",24,"c3"
-37,"Gerrit",7,"c3"
-37,"TRUE",13,"c3"
-36,"FALSE",31,"c3"
-36,"Gerrit",9,"c3"
-36,"TRUE",27,"c3"
-35,"FALSE",16,"c3"
-35,"Gerrit",8,"c3"
-35,"TRUE",33,"c3"
-34,"FALSE",13,"c3"
-34,"Gerrit",2,"c3"
-34,"TRUE",23,"c3"
-33,"FALSE",14,"c3"
-33,"Gerrit",17,"c3"
-33,"TRUE",48,"c3"
-32,"FALSE",17,"c3"
-32,"Gerrit",15,"c3"
-32,"TRUE",28,"c3"
-31,"FALSE",21,"c3"
-31,"Gerrit",8,"c3"
-31,"TRUE",31,"c3"
-30,"FALSE",25,"c3"
-30,"Gerrit",18,"c3"
-30,"TRUE",37,"c3"
-29,"FALSE",23,"c3"
-29,"Gerrit",13,"c3"
-29,"TRUE",28,"c3"
-28,"FALSE",9,"c3"
-28,"Gerrit",5,"c3"
-28,"TRUE",12,"c3"
-27,"FALSE",7,"c3"
-27,"TRUE",1,"c3"
-26,"FALSE",28,"c3"
-26,"Gerrit",4,"c3"
-26,"TRUE",14,"c3"
-25,"FALSE",25,"c3"
-25,"Gerrit",7,"c3"
-25,"TRUE",29,"c3"
-24,"FALSE",5,"c3"
-24,"Gerrit",6,"c3"
-24,"TRUE",20,"c3"
-23,"FALSE",28,"c3"
-23,"Gerrit",1,"c3"
-23,"TRUE",35,"c3"
-22,"FALSE",8,"c3"
-22,"Gerrit",7,"c3"
-22,"TRUE",12,"c3"
-21,"FALSE",15,"c3"
-21,"Gerrit",5,"c3"
-21,"TRUE",20,"c3"
-20,"FALSE",20,"c3"
-20,"Gerrit",16,"c3"
-20,"TRUE",37,"c3"
-19,"FALSE",18,"c3"
-19,"Gerrit",20,"c3"
-19,"TRUE",20,"c3"
-18,"FALSE",32,"c3"
-18,"Gerrit",24,"c3"
-18,"TRUE",17,"c3"
-17,"FALSE",18,"c3"
-17,"Gerrit",11,"c3"
-17,"TRUE",22,"c3"
-16,"FALSE",10,"c3"
-16,"Gerrit",19,"c3"
-16,"TRUE",36,"c3"
-15,"FALSE",23,"c3"
-15,"Gerrit",9,"c3"
-15,"TRUE",24,"c3"
-14,"FALSE",26,"c3"
-14,"Gerrit",11,"c3"
-14,"TRUE",25,"c3"
-13,"FALSE",19,"c3"
-13,"Gerrit",16,"c3"
-13,"TRUE",25,"c3"
-12,"FALSE",20,"c3"
-12,"Gerrit",16,"c3"
-12,"TRUE",12,"c3"
-11,"FALSE",19,"c3"
-11,"Gerrit",21,"c3"
-11,"TRUE",23,"c3"
-10,"FALSE",31,"c3"
-10,"Gerrit",25,"c3"
-10,"TRUE",29,"c3"
-9,"FALSE",16,"c3"
-9,"Gerrit",15,"c3"
-9,"TRUE",49,"c3"
-8,"FALSE",22,"c3"
-8,"Gerrit",21,"c3"
-8,"TRUE",38,"c3"
-7,"FALSE",18,"c3"
-7,"Gerrit",17,"c3"
-7,"TRUE",27,"c3"
-6,"FALSE",15,"c3"
-6,"Gerrit",12,"c3"
-6,"TRUE",33,"c3"
-5,"FALSE",23,"c3"
-5,"Gerrit",18,"c3"
-5,"TRUE",32,"c3"
-4,"FALSE",6,"c3"
-4,"Gerrit",11,"c3"
-4,"TRUE",23,"c3"
-3,"FALSE",33,"c3"
-3,"Gerrit",13,"c3"
-3,"TRUE",39,"c3"
-2,"FALSE",11,"c3"
-2,"Gerrit",8,"c3"
-2,"TRUE",19,"c3"
-1,"FALSE",27,"c3"
-1,"Gerrit",17,"c3"
-1,"TRUE",17,"c3"
0,"FALSE",16,"c3"
0,"Gerrit",7,"c3"
0,"TRUE",24,"c3"
1,"FALSE",21,"c3"
1,"Gerrit",12,"c3"
1,"TRUE",25,"c3"
2,"FALSE",23,"c3"
2,"Gerrit",16,"c3"
2,"TRUE",14,"c3"
3,"FALSE",23,"c3"
3,"Gerrit",34,"c3"
3,"TRUE",32,"c3"
4,"FALSE",15,"c3"
4,"Gerrit",13,"c3"
4,"TRUE",45,"c3"
5,"FALSE",17,"c3"
5,"Gerrit",10,"c3"
5,"TRUE",28,"c3"
6,"FALSE",20,"c3"
6,"Gerrit",7,"c3"
6,"TRUE",14,"c3"
7,"FALSE",26,"c3"
7,"Gerrit",16,"c3"
7,"TRUE",12,"c3"
8,"FALSE",19,"c3"
8,"Gerrit",18,"c3"
8,"TRUE",25,"c3"
9,"FALSE",29,"c3"
9,"Gerrit",18,"c3"
9,"TRUE",21,"c3"
10,"FALSE",11,"c3"
10,"Gerrit",15,"c3"
10,"TRUE",24,"c3"
11,"FALSE",22,"c3"
11,"Gerrit",18,"c3"
11,"TRUE",11,"c3"
12,"FALSE",8,"c3"
12,"Gerrit",9,"c3"
12,"TRUE",16,"c3"
13,"FALSE",15,"c3"
13,"Gerrit",9,"c3"
13,"TRUE",21,"c3"
1 week_index isAuthorWMF count source
2 -33 FALSE 9 c1
3 -33 TRUE 65 c1
4 -32 FALSE 8 c1
5 -32 TRUE 23 c1
6 -31 FALSE 13 c1
7 -31 TRUE 38 c1
8 -30 FALSE 18 c1
9 -30 TRUE 42 c1
10 -29 FALSE 32 c1
11 -29 TRUE 44 c1
12 -28 FALSE 25 c1
13 -28 TRUE 21 c1
14 -27 FALSE 9 c1
15 -27 TRUE 13 c1
16 -26 FALSE 17 c1
17 -26 TRUE 30 c1
18 -25 FALSE 20 c1
19 -25 TRUE 39 c1
20 -24 FALSE 22 c1
21 -24 Gerrit 5 c1
22 -24 TRUE 52 c1
23 -23 FALSE 5 c1
24 -23 Gerrit 1 c1
25 -23 TRUE 24 c1
26 -22 FALSE 11 c1
27 -22 Gerrit 2 c1
28 -22 TRUE 54 c1
29 -21 FALSE 13 c1
30 -21 Gerrit 2 c1
31 -21 TRUE 61 c1
32 -20 FALSE 12 c1
33 -20 Gerrit 4 c1
34 -20 TRUE 23 c1
35 -19 FALSE 7 c1
36 -19 Gerrit 1 c1
37 -19 TRUE 29 c1
38 -18 FALSE 17 c1
39 -18 TRUE 43 c1
40 -17 FALSE 12 c1
41 -17 Gerrit 5 c1
42 -17 TRUE 47 c1
43 -16 FALSE 5 c1
44 -16 Gerrit 2 c1
45 -16 TRUE 47 c1
46 -15 FALSE 10 c1
47 -15 Gerrit 2 c1
48 -15 TRUE 23 c1
49 -14 FALSE 31 c1
50 -14 Gerrit 1 c1
51 -14 TRUE 35 c1
52 -13 FALSE 16 c1
53 -13 Gerrit 3 c1
54 -13 TRUE 40 c1
55 -12 FALSE 19 c1
56 -12 Gerrit 8 c1
57 -12 TRUE 37 c1
58 -11 FALSE 22 c1
59 -11 Gerrit 10 c1
60 -11 TRUE 35 c1
61 -10 FALSE 38 c1
62 -10 Gerrit 8 c1
63 -10 TRUE 27 c1
64 -9 FALSE 23 c1
65 -9 Gerrit 6 c1
66 -9 TRUE 45 c1
67 -8 FALSE 12 c1
68 -8 Gerrit 5 c1
69 -8 TRUE 40 c1
70 -7 FALSE 22 c1
71 -7 Gerrit 5 c1
72 -7 TRUE 56 c1
73 -6 FALSE 15 c1
74 -6 Gerrit 2 c1
75 -6 TRUE 20 c1
76 -5 FALSE 7 c1
77 -5 Gerrit 2 c1
78 -5 TRUE 14 c1
79 -4 FALSE 13 c1
80 -4 Gerrit 8 c1
81 -4 TRUE 46 c1
82 -3 FALSE 10 c1
83 -3 Gerrit 6 c1
84 -3 TRUE 35 c1
85 -2 FALSE 18 c1
86 -2 Gerrit 7 c1
87 -2 TRUE 22 c1
88 -1 FALSE 9 c1
89 -1 Gerrit 1 c1
90 -1 TRUE 30 c1
91 0 FALSE 22 c1
92 0 Gerrit 12 c1
93 0 TRUE 11 c1
94 1 FALSE 20 c1
95 1 Gerrit 5 c1
96 1 TRUE 20 c1
97 2 FALSE 25 c1
98 2 Gerrit 6 c1
99 2 TRUE 16 c1
100 3 FALSE 22 c1
101 3 Gerrit 6 c1
102 3 TRUE 19 c1
103 4 FALSE 18 c1
104 4 Gerrit 11 c1
105 4 TRUE 36 c1
106 5 FALSE 13 c1
107 5 TRUE 13 c1
108 6 FALSE 3 c1
109 6 Gerrit 1 c1
110 6 TRUE 9 c1
111 7 FALSE 17 c1
112 7 Gerrit 3 c1
113 7 TRUE 22 c1
114 8 FALSE 13 c1
115 8 Gerrit 5 c1
116 8 TRUE 17 c1
117 9 FALSE 7 c1
118 9 TRUE 12 c1
119 10 FALSE 21 c1
120 10 Gerrit 4 c1
121 10 TRUE 20 c1
122 11 FALSE 15 c1
123 11 Gerrit 8 c1
124 11 TRUE 57 c1
125 12 FALSE 12 c1
126 12 Gerrit 3 c1
127 12 TRUE 15 c1
128 13 FALSE 13 c1
129 13 Gerrit 2 c1
130 13 TRUE 19 c1
131 -104 FALSE 2 c2
132 -103 FALSE 1 c2
133 -102 FALSE 6 c2
134 -101 FALSE 10 c2
135 -100 FALSE 7 c2
136 -99 FALSE 1 c2
137 -97 FALSE 3 c2
138 -89 FALSE 1 c2
139 -84 FALSE 4 c2
140 -83 FALSE 1 c2
141 -80 FALSE 1 c2
142 -79 FALSE 3 c2
143 -79 TRUE 2 c2
144 -77 FALSE 1 c2
145 -73 FALSE 1 c2
146 -71 FALSE 15 c2
147 -70 FALSE 5 c2
148 -69 FALSE 11 c2
149 -69 TRUE 2 c2
150 -68 FALSE 12 c2
151 -68 TRUE 39 c2
152 -67 FALSE 23 c2
153 -67 TRUE 40 c2
154 -66 FALSE 7 c2
155 -66 TRUE 20 c2
156 -65 FALSE 15 c2
157 -65 TRUE 45 c2
158 -64 FALSE 10 c2
159 -64 TRUE 25 c2
160 -63 FALSE 39 c2
161 -63 TRUE 25 c2
162 -62 FALSE 27 c2
163 -62 TRUE 34 c2
164 -61 FALSE 24 c2
165 -61 TRUE 36 c2
166 -60 FALSE 11 c2
167 -60 TRUE 49 c2
168 -59 FALSE 9 c2
169 -59 TRUE 24 c2
170 -58 FALSE 16 c2
171 -58 TRUE 25 c2
172 -57 FALSE 13 c2
173 -57 TRUE 30 c2
174 -56 FALSE 13 c2
175 -56 TRUE 40 c2
176 -55 FALSE 4 c2
177 -55 TRUE 15 c2
178 -54 FALSE 5 c2
179 -54 TRUE 22 c2
180 -53 FALSE 12 c2
181 -53 TRUE 26 c2
182 -52 FALSE 5 c2
183 -52 TRUE 32 c2
184 -51 FALSE 11 c2
185 -51 TRUE 30 c2
186 -50 FALSE 23 c2
187 -50 TRUE 25 c2
188 -49 FALSE 14 c2
189 -49 TRUE 20 c2
190 -48 FALSE 12 c2
191 -48 TRUE 38 c2
192 -47 FALSE 10 c2
193 -47 TRUE 43 c2
194 -46 FALSE 8 c2
195 -46 TRUE 41 c2
196 -45 FALSE 11 c2
197 -45 TRUE 41 c2
198 -44 FALSE 18 c2
199 -44 TRUE 70 c2
200 -43 FALSE 28 c2
201 -43 TRUE 73 c2
202 -42 FALSE 11 c2
203 -42 TRUE 81 c2
204 -41 FALSE 12 c2
205 -41 TRUE 50 c2
206 -40 FALSE 12 c2
207 -40 TRUE 34 c2
208 -39 FALSE 7 c2
209 -39 TRUE 21 c2
210 -38 FALSE 22 c2
211 -38 TRUE 45 c2
212 -37 FALSE 27 c2
213 -37 TRUE 39 c2
214 -36 FALSE 26 c2
215 -36 TRUE 15 c2
216 -35 FALSE 8 c2
217 -35 TRUE 15 c2
218 -34 FALSE 27 c2
219 -34 TRUE 43 c2
220 -33 FALSE 18 c2
221 -33 TRUE 31 c2
222 -32 FALSE 12 c2
223 -32 Gerrit 5 c2
224 -32 TRUE 55 c2
225 -31 FALSE 10 c2
226 -31 Gerrit 2 c2
227 -31 TRUE 27 c2
228 -30 FALSE 17 c2
229 -30 Gerrit 2 c2
230 -30 TRUE 71 c2
231 -29 FALSE 5 c2
232 -29 Gerrit 3 c2
233 -29 TRUE 36 c2
234 -28 FALSE 13 c2
235 -28 Gerrit 2 c2
236 -28 TRUE 26 c2
237 -27 FALSE 14 c2
238 -27 Gerrit 1 c2
239 -27 TRUE 29 c2
240 -26 FALSE 7 c2
241 -26 Gerrit 2 c2
242 -26 TRUE 57 c2
243 -25 FALSE 15 c2
244 -25 Gerrit 3 c2
245 -25 TRUE 30 c2
246 -24 FALSE 5 c2
247 -24 Gerrit 3 c2
248 -24 TRUE 52 c2
249 -23 FALSE 19 c2
250 -23 Gerrit 2 c2
251 -23 TRUE 31 c2
252 -22 FALSE 22 c2
253 -22 Gerrit 3 c2
254 -22 TRUE 41 c2
255 -21 FALSE 23 c2
256 -21 Gerrit 3 c2
257 -21 TRUE 25 c2
258 -20 FALSE 20 c2
259 -20 Gerrit 7 c2
260 -20 TRUE 37 c2
261 -19 FALSE 37 c2
262 -19 Gerrit 14 c2
263 -19 TRUE 36 c2
264 -18 FALSE 18 c2
265 -18 Gerrit 6 c2
266 -18 TRUE 35 c2
267 -17 FALSE 20 c2
268 -17 Gerrit 3 c2
269 -17 TRUE 50 c2
270 -16 FALSE 21 c2
271 -16 Gerrit 8 c2
272 -16 TRUE 44 c2
273 -15 FALSE 16 c2
274 -15 Gerrit 2 c2
275 -15 TRUE 36 c2
276 -14 FALSE 10 c2
277 -14 Gerrit 3 c2
278 -14 TRUE 18 c2
279 -13 FALSE 7 c2
280 -13 TRUE 12 c2
281 -12 FALSE 16 c2
282 -12 Gerrit 12 c2
283 -12 TRUE 48 c2
284 -11 FALSE 10 c2
285 -11 Gerrit 9 c2
286 -11 TRUE 44 c2
287 -10 FALSE 17 c2
288 -10 Gerrit 1 c2
289 -10 TRUE 27 c2
290 -9 FALSE 19 c2
291 -9 Gerrit 7 c2
292 -9 TRUE 18 c2
293 -8 FALSE 23 c2
294 -8 Gerrit 10 c2
295 -8 TRUE 7 c2
296 -7 FALSE 9 c2
297 -7 Gerrit 4 c2
298 -7 TRUE 19 c2
299 -6 FALSE 31 c2
300 -6 Gerrit 3 c2
301 -6 TRUE 21 c2
302 -5 FALSE 27 c2
303 -5 Gerrit 13 c2
304 -5 TRUE 35 c2
305 -4 FALSE 3 c2
306 -4 Gerrit 3 c2
307 -4 TRUE 12 c2
308 -3 FALSE 13 c2
309 -3 TRUE 15 c2
310 -2 FALSE 3 c2
311 -2 Gerrit 4 c2
312 -2 TRUE 15 c2
313 -1 FALSE 20 c2
314 -1 Gerrit 5 c2
315 -1 TRUE 18 c2
316 0 FALSE 12 c2
317 0 TRUE 16 c2
318 1 FALSE 9 c2
319 1 Gerrit 2 c2
320 1 TRUE 18 c2
321 2 FALSE 23 c2
322 2 Gerrit 8 c2
323 2 TRUE 20 c2
324 3 FALSE 17 c2
325 3 Gerrit 5 c2
326 3 TRUE 57 c2
327 4 FALSE 11 c2
328 4 TRUE 11 c2
329 5 FALSE 26 c2
330 5 Gerrit 6 c2
331 5 TRUE 29 c2
332 6 FALSE 29 c2
333 6 Gerrit 3 c2
334 6 TRUE 36 c2
335 7 FALSE 17 c2
336 7 Gerrit 8 c2
337 7 TRUE 39 c2
338 8 FALSE 16 c2
339 8 Gerrit 3 c2
340 8 TRUE 25 c2
341 9 FALSE 12 c2
342 9 Gerrit 7 c2
343 9 TRUE 31 c2
344 10 FALSE 23 c2
345 10 Gerrit 7 c2
346 10 TRUE 41 c2
347 11 FALSE 15 c2
348 11 Gerrit 4 c2
349 11 TRUE 30 c2
350 12 FALSE 21 c2
351 12 Gerrit 2 c2
352 12 TRUE 33 c2
353 13 FALSE 18 c2
354 13 Gerrit 7 c2
355 13 TRUE 16 c2
356 -83 FALSE 18 c3
357 -83 Gerrit 11 c3
358 -83 TRUE 18 c3
359 -82 FALSE 46 c3
360 -82 Gerrit 5 c3
361 -82 TRUE 29 c3
362 -81 FALSE 20 c3
363 -81 Gerrit 3 c3
364 -81 TRUE 17 c3
365 -80 FALSE 21 c3
366 -80 TRUE 8 c3
367 -79 FALSE 19 c3
368 -79 Gerrit 4 c3
369 -79 TRUE 10 c3
370 -78 FALSE 21 c3
371 -78 Gerrit 3 c3
372 -78 TRUE 36 c3
373 -77 FALSE 24 c3
374 -77 Gerrit 8 c3
375 -77 TRUE 25 c3
376 -76 FALSE 28 c3
377 -76 Gerrit 2 c3
378 -76 TRUE 18 c3
379 -75 FALSE 34 c3
380 -75 Gerrit 1 c3
381 -75 TRUE 24 c3
382 -74 FALSE 39 c3
383 -74 Gerrit 5 c3
384 -74 TRUE 18 c3
385 -73 FALSE 25 c3
386 -73 Gerrit 18 c3
387 -73 TRUE 15 c3
388 -72 FALSE 32 c3
389 -72 Gerrit 8 c3
390 -72 TRUE 28 c3
391 -71 FALSE 16 c3
392 -71 Gerrit 5 c3
393 -71 TRUE 23 c3
394 -70 FALSE 3 c3
395 -70 Gerrit 10 c3
396 -70 TRUE 20 c3
397 -69 FALSE 20 c3
398 -69 Gerrit 9 c3
399 -69 TRUE 24 c3
400 -68 FALSE 10 c3
401 -68 Gerrit 7 c3
402 -68 TRUE 25 c3
403 -67 FALSE 18 c3
404 -67 Gerrit 11 c3
405 -67 TRUE 20 c3
406 -66 FALSE 15 c3
407 -66 Gerrit 7 c3
408 -66 TRUE 28 c3
409 -65 FALSE 21 c3
410 -65 Gerrit 18 c3
411 -65 TRUE 22 c3
412 -64 FALSE 19 c3
413 -64 Gerrit 4 c3
414 -64 TRUE 29 c3
415 -63 FALSE 14 c3
416 -63 Gerrit 12 c3
417 -63 TRUE 33 c3
418 -62 FALSE 22 c3
419 -62 Gerrit 12 c3
420 -62 TRUE 32 c3
421 -61 FALSE 10 c3
422 -61 Gerrit 7 c3
423 -61 TRUE 20 c3
424 -60 FALSE 14 c3
425 -60 Gerrit 7 c3
426 -60 TRUE 21 c3
427 -59 FALSE 19 c3
428 -59 Gerrit 18 c3
429 -59 TRUE 24 c3
430 -58 FALSE 12 c3
431 -58 Gerrit 6 c3
432 -58 TRUE 24 c3
433 -57 FALSE 11 c3
434 -57 Gerrit 17 c3
435 -57 TRUE 21 c3
436 -56 FALSE 15 c3
437 -56 Gerrit 4 c3
438 -56 TRUE 31 c3
439 -55 FALSE 15 c3
440 -55 Gerrit 9 c3
441 -55 TRUE 16 c3
442 -54 FALSE 18 c3
443 -54 Gerrit 14 c3
444 -54 TRUE 23 c3
445 -53 FALSE 14 c3
446 -53 Gerrit 17 c3
447 -53 TRUE 24 c3
448 -52 FALSE 19 c3
449 -52 Gerrit 6 c3
450 -52 TRUE 23 c3
451 -51 FALSE 11 c3
452 -51 Gerrit 9 c3
453 -51 TRUE 27 c3
454 -50 FALSE 19 c3
455 -50 Gerrit 12 c3
456 -50 TRUE 16 c3
457 -49 FALSE 20 c3
458 -49 Gerrit 13 c3
459 -49 TRUE 31 c3
460 -48 FALSE 10 c3
461 -48 Gerrit 1 c3
462 -48 TRUE 11 c3
463 -47 FALSE 12 c3
464 -47 Gerrit 1 c3
465 -47 TRUE 8 c3
466 -46 FALSE 33 c3
467 -46 Gerrit 20 c3
468 -46 TRUE 20 c3
469 -45 FALSE 16 c3
470 -45 Gerrit 5 c3
471 -45 TRUE 13 c3
472 -44 FALSE 20 c3
473 -44 Gerrit 11 c3
474 -44 TRUE 52 c3
475 -43 FALSE 15 c3
476 -43 Gerrit 5 c3
477 -43 TRUE 35 c3
478 -42 FALSE 31 c3
479 -42 Gerrit 8 c3
480 -42 TRUE 48 c3
481 -41 FALSE 18 c3
482 -41 Gerrit 13 c3
483 -41 TRUE 31 c3
484 -40 FALSE 32 c3
485 -40 Gerrit 10 c3
486 -40 TRUE 32 c3
487 -39 FALSE 17 c3
488 -39 Gerrit 10 c3
489 -39 TRUE 28 c3
490 -38 FALSE 20 c3
491 -38 TRUE 14 c3
492 -37 FALSE 24 c3
493 -37 Gerrit 7 c3
494 -37 TRUE 13 c3
495 -36 FALSE 31 c3
496 -36 Gerrit 9 c3
497 -36 TRUE 27 c3
498 -35 FALSE 16 c3
499 -35 Gerrit 8 c3
500 -35 TRUE 33 c3
501 -34 FALSE 13 c3
502 -34 Gerrit 2 c3
503 -34 TRUE 23 c3
504 -33 FALSE 14 c3
505 -33 Gerrit 17 c3
506 -33 TRUE 48 c3
507 -32 FALSE 17 c3
508 -32 Gerrit 15 c3
509 -32 TRUE 28 c3
510 -31 FALSE 21 c3
511 -31 Gerrit 8 c3
512 -31 TRUE 31 c3
513 -30 FALSE 25 c3
514 -30 Gerrit 18 c3
515 -30 TRUE 37 c3
516 -29 FALSE 23 c3
517 -29 Gerrit 13 c3
518 -29 TRUE 28 c3
519 -28 FALSE 9 c3
520 -28 Gerrit 5 c3
521 -28 TRUE 12 c3
522 -27 FALSE 7 c3
523 -27 TRUE 1 c3
524 -26 FALSE 28 c3
525 -26 Gerrit 4 c3
526 -26 TRUE 14 c3
527 -25 FALSE 25 c3
528 -25 Gerrit 7 c3
529 -25 TRUE 29 c3
530 -24 FALSE 5 c3
531 -24 Gerrit 6 c3
532 -24 TRUE 20 c3
533 -23 FALSE 28 c3
534 -23 Gerrit 1 c3
535 -23 TRUE 35 c3
536 -22 FALSE 8 c3
537 -22 Gerrit 7 c3
538 -22 TRUE 12 c3
539 -21 FALSE 15 c3
540 -21 Gerrit 5 c3
541 -21 TRUE 20 c3
542 -20 FALSE 20 c3
543 -20 Gerrit 16 c3
544 -20 TRUE 37 c3
545 -19 FALSE 18 c3
546 -19 Gerrit 20 c3
547 -19 TRUE 20 c3
548 -18 FALSE 32 c3
549 -18 Gerrit 24 c3
550 -18 TRUE 17 c3
551 -17 FALSE 18 c3
552 -17 Gerrit 11 c3
553 -17 TRUE 22 c3
554 -16 FALSE 10 c3
555 -16 Gerrit 19 c3
556 -16 TRUE 36 c3
557 -15 FALSE 23 c3
558 -15 Gerrit 9 c3
559 -15 TRUE 24 c3
560 -14 FALSE 26 c3
561 -14 Gerrit 11 c3
562 -14 TRUE 25 c3
563 -13 FALSE 19 c3
564 -13 Gerrit 16 c3
565 -13 TRUE 25 c3
566 -12 FALSE 20 c3
567 -12 Gerrit 16 c3
568 -12 TRUE 12 c3
569 -11 FALSE 19 c3
570 -11 Gerrit 21 c3
571 -11 TRUE 23 c3
572 -10 FALSE 31 c3
573 -10 Gerrit 25 c3
574 -10 TRUE 29 c3
575 -9 FALSE 16 c3
576 -9 Gerrit 15 c3
577 -9 TRUE 49 c3
578 -8 FALSE 22 c3
579 -8 Gerrit 21 c3
580 -8 TRUE 38 c3
581 -7 FALSE 18 c3
582 -7 Gerrit 17 c3
583 -7 TRUE 27 c3
584 -6 FALSE 15 c3
585 -6 Gerrit 12 c3
586 -6 TRUE 33 c3
587 -5 FALSE 23 c3
588 -5 Gerrit 18 c3
589 -5 TRUE 32 c3
590 -4 FALSE 6 c3
591 -4 Gerrit 11 c3
592 -4 TRUE 23 c3
593 -3 FALSE 33 c3
594 -3 Gerrit 13 c3
595 -3 TRUE 39 c3
596 -2 FALSE 11 c3
597 -2 Gerrit 8 c3
598 -2 TRUE 19 c3
599 -1 FALSE 27 c3
600 -1 Gerrit 17 c3
601 -1 TRUE 17 c3
602 0 FALSE 16 c3
603 0 Gerrit 7 c3
604 0 TRUE 24 c3
605 1 FALSE 21 c3
606 1 Gerrit 12 c3
607 1 TRUE 25 c3
608 2 FALSE 23 c3
609 2 Gerrit 16 c3
610 2 TRUE 14 c3
611 3 FALSE 23 c3
612 3 Gerrit 34 c3
613 3 TRUE 32 c3
614 4 FALSE 15 c3
615 4 Gerrit 13 c3
616 4 TRUE 45 c3
617 5 FALSE 17 c3
618 5 Gerrit 10 c3
619 5 TRUE 28 c3
620 6 FALSE 20 c3
621 6 Gerrit 7 c3
622 6 TRUE 14 c3
623 7 FALSE 26 c3
624 7 Gerrit 16 c3
625 7 TRUE 12 c3
626 8 FALSE 19 c3
627 8 Gerrit 18 c3
628 8 TRUE 25 c3
629 9 FALSE 29 c3
630 9 Gerrit 18 c3
631 9 TRUE 21 c3
632 10 FALSE 11 c3
633 10 Gerrit 15 c3
634 10 TRUE 24 c3
635 11 FALSE 22 c3
636 11 Gerrit 18 c3
637 11 TRUE 11 c3
638 12 FALSE 8 c3
639 12 Gerrit 9 c3
640 12 TRUE 16 c3
641 13 FALSE 15 c3
642 13 Gerrit 9 c3
643 13 TRUE 21 c3

921
121325_work/aggregate_dfs/121325_core_weekly.csv Normal file
View File

@ -0,0 +1,921 @@
"week_index","isAuthorWMF","count","source"
-33,"FALSE",47,"c1"
-33,"TRUE",48,"c1"
-33,"localization",9,"c1"
-32,"FALSE",52,"c1"
-32,"TRUE",51,"c1"
-32,"localization",7,"c1"
-31,"FALSE",52,"c1"
-31,"TRUE",58,"c1"
-31,"localization",9,"c1"
-30,"FALSE",81,"c1"
-30,"Gerrit",18,"c1"
-30,"TRUE",56,"c1"
-30,"localization",9,"c1"
-29,"FALSE",30,"c1"
-29,"Gerrit",23,"c1"
-29,"TRUE",55,"c1"
-29,"localization",10,"c1"
-28,"FALSE",47,"c1"
-28,"Gerrit",19,"c1"
-28,"TRUE",22,"c1"
-28,"localization",9,"c1"
-27,"FALSE",33,"c1"
-27,"Gerrit",5,"c1"
-27,"TRUE",13,"c1"
-27,"localization",7,"c1"
-26,"FALSE",49,"c1"
-26,"Gerrit",23,"c1"
-26,"TRUE",13,"c1"
-26,"localization",7,"c1"
-25,"FALSE",46,"c1"
-25,"Gerrit",27,"c1"
-25,"TRUE",46,"c1"
-25,"localization",9,"c1"
-24,"FALSE",44,"c1"
-24,"Gerrit",21,"c1"
-24,"TRUE",39,"c1"
-24,"localization",6,"c1"
-23,"FALSE",50,"c1"
-23,"Gerrit",44,"c1"
-23,"TRUE",30,"c1"
-23,"localization",10,"c1"
-22,"FALSE",38,"c1"
-22,"Gerrit",41,"c1"
-22,"TRUE",36,"c1"
-22,"localization",9,"c1"
-21,"FALSE",58,"c1"
-21,"Gerrit",46,"c1"
-21,"TRUE",28,"c1"
-21,"localization",11,"c1"
-20,"FALSE",38,"c1"
-20,"Gerrit",17,"c1"
-20,"TRUE",28,"c1"
-20,"localization",10,"c1"
-19,"FALSE",45,"c1"
-19,"Gerrit",37,"c1"
-19,"TRUE",28,"c1"
-19,"localization",8,"c1"
-18,"FALSE",41,"c1"
-18,"Gerrit",34,"c1"
-18,"TRUE",35,"c1"
-18,"localization",11,"c1"
-17,"FALSE",54,"c1"
-17,"Gerrit",49,"c1"
-17,"TRUE",55,"c1"
-17,"localization",10,"c1"
-16,"FALSE",37,"c1"
-16,"Gerrit",41,"c1"
-16,"TRUE",40,"c1"
-16,"localization",10,"c1"
-15,"FALSE",49,"c1"
-15,"Gerrit",36,"c1"
-15,"TRUE",43,"c1"
-15,"localization",5,"c1"
-14,"FALSE",36,"c1"
-14,"Gerrit",27,"c1"
-14,"TRUE",40,"c1"
-14,"localization",9,"c1"
-13,"FALSE",49,"c1"
-13,"Gerrit",45,"c1"
-13,"TRUE",45,"c1"
-13,"localization",11,"c1"
-12,"FALSE",43,"c1"
-12,"Gerrit",42,"c1"
-12,"TRUE",32,"c1"
-12,"localization",9,"c1"
-11,"FALSE",37,"c1"
-11,"Gerrit",24,"c1"
-11,"TRUE",53,"c1"
-11,"localization",9,"c1"
-10,"FALSE",46,"c1"
-10,"Gerrit",29,"c1"
-10,"TRUE",35,"c1"
-10,"localization",8,"c1"
-9,"FALSE",38,"c1"
-9,"Gerrit",34,"c1"
-9,"TRUE",37,"c1"
-9,"localization",7,"c1"
-8,"FALSE",36,"c1"
-8,"Gerrit",34,"c1"
-8,"TRUE",27,"c1"
-8,"localization",11,"c1"
-7,"FALSE",38,"c1"
-7,"Gerrit",26,"c1"
-7,"TRUE",28,"c1"
-7,"localization",8,"c1"
-6,"FALSE",45,"c1"
-6,"Gerrit",30,"c1"
-6,"TRUE",22,"c1"
-6,"localization",8,"c1"
-5,"FALSE",33,"c1"
-5,"Gerrit",30,"c1"
-5,"TRUE",24,"c1"
-5,"localization",3,"c1"
-4,"FALSE",36,"c1"
-4,"Gerrit",26,"c1"
-4,"TRUE",23,"c1"
-4,"localization",4,"c1"
-3,"FALSE",27,"c1"
-3,"Gerrit",17,"c1"
-3,"TRUE",26,"c1"
-3,"localization",11,"c1"
-2,"FALSE",24,"c1"
-2,"Gerrit",23,"c1"
-2,"TRUE",16,"c1"
-2,"localization",8,"c1"
-1,"FALSE",31,"c1"
-1,"Gerrit",43,"c1"
-1,"TRUE",17,"c1"
-1,"localization",9,"c1"
0,"FALSE",43,"c1"
0,"Gerrit",29,"c1"
0,"TRUE",16,"c1"
0,"localization",8,"c1"
1,"FALSE",38,"c1"
1,"Gerrit",30,"c1"
1,"TRUE",12,"c1"
1,"localization",9,"c1"
2,"FALSE",26,"c1"
2,"Gerrit",23,"c1"
2,"TRUE",14,"c1"
2,"localization",7,"c1"
3,"FALSE",40,"c1"
3,"Gerrit",29,"c1"
3,"TRUE",18,"c1"
3,"localization",6,"c1"
4,"FALSE",31,"c1"
4,"Gerrit",27,"c1"
4,"TRUE",14,"c1"
4,"localization",9,"c1"
5,"FALSE",29,"c1"
5,"Gerrit",30,"c1"
5,"TRUE",9,"c1"
5,"localization",8,"c1"
6,"FALSE",40,"c1"
6,"Gerrit",17,"c1"
6,"TRUE",11,"c1"
6,"localization",8,"c1"
7,"FALSE",44,"c1"
7,"Gerrit",34,"c1"
7,"TRUE",28,"c1"
7,"localization",8,"c1"
8,"FALSE",25,"c1"
8,"Gerrit",28,"c1"
8,"TRUE",11,"c1"
8,"localization",5,"c1"
9,"FALSE",23,"c1"
9,"Gerrit",22,"c1"
9,"TRUE",5,"c1"
9,"localization",6,"c1"
10,"FALSE",12,"c1"
10,"Gerrit",18,"c1"
10,"TRUE",11,"c1"
10,"localization",6,"c1"
11,"FALSE",27,"c1"
11,"Gerrit",28,"c1"
11,"TRUE",28,"c1"
11,"localization",9,"c1"
12,"FALSE",26,"c1"
12,"Gerrit",30,"c1"
12,"TRUE",29,"c1"
12,"localization",7,"c1"
13,"FALSE",22,"c1"
13,"Gerrit",33,"c1"
13,"TRUE",32,"c1"
13,"localization",6,"c1"
-104,"FALSE",149,"c2"
-103,"FALSE",167,"c2"
-102,"FALSE",177,"c2"
-101,"FALSE",117,"c2"
-100,"FALSE",127,"c2"
-99,"FALSE",134,"c2"
-98,"FALSE",115,"c2"
-97,"FALSE",105,"c2"
-96,"FALSE",149,"c2"
-95,"FALSE",136,"c2"
-94,"FALSE",147,"c2"
-93,"FALSE",140,"c2"
-92,"FALSE",116,"c2"
-91,"FALSE",81,"c2"
-90,"FALSE",165,"c2"
-89,"FALSE",139,"c2"
-88,"FALSE",138,"c2"
-87,"FALSE",134,"c2"
-86,"FALSE",209,"c2"
-85,"FALSE",145,"c2"
-84,"FALSE",119,"c2"
-83,"FALSE",110,"c2"
-82,"FALSE",104,"c2"
-81,"FALSE",173,"c2"
-80,"FALSE",131,"c2"
-79,"FALSE",115,"c2"
-78,"FALSE",106,"c2"
-77,"FALSE",93,"c2"
-76,"FALSE",96,"c2"
-75,"FALSE",55,"c2"
-75,"TRUE",34,"c2"
-74,"FALSE",68,"c2"
-74,"TRUE",45,"c2"
-74,"localization",1,"c2"
-73,"FALSE",63,"c2"
-73,"TRUE",157,"c2"
-73,"localization",3,"c2"
-72,"FALSE",57,"c2"
-72,"TRUE",59,"c2"
-72,"localization",3,"c2"
-71,"FALSE",34,"c2"
-71,"TRUE",82,"c2"
-71,"localization",7,"c2"
-70,"FALSE",36,"c2"
-70,"TRUE",123,"c2"
-70,"localization",6,"c2"
-69,"FALSE",57,"c2"
-69,"TRUE",76,"c2"
-69,"localization",6,"c2"
-68,"FALSE",53,"c2"
-68,"TRUE",103,"c2"
-68,"localization",7,"c2"
-67,"FALSE",40,"c2"
-67,"TRUE",69,"c2"
-67,"localization",5,"c2"
-66,"FALSE",53,"c2"
-66,"TRUE",66,"c2"
-66,"localization",6,"c2"
-65,"FALSE",64,"c2"
-65,"TRUE",60,"c2"
-65,"localization",9,"c2"
-64,"FALSE",40,"c2"
-64,"TRUE",86,"c2"
-64,"localization",8,"c2"
-63,"FALSE",38,"c2"
-63,"TRUE",66,"c2"
-63,"localization",8,"c2"
-62,"FALSE",47,"c2"
-62,"TRUE",61,"c2"
-62,"localization",8,"c2"
-61,"FALSE",50,"c2"
-61,"TRUE",45,"c2"
-61,"localization",8,"c2"
-60,"FALSE",78,"c2"
-60,"TRUE",58,"c2"
-60,"localization",9,"c2"
-59,"FALSE",31,"c2"
-59,"TRUE",50,"c2"
-59,"localization",1,"c2"
-58,"FALSE",36,"c2"
-58,"TRUE",66,"c2"
-58,"localization",1,"c2"
-57,"FALSE",41,"c2"
-57,"TRUE",63,"c2"
-57,"localization",1,"c2"
-56,"FALSE",69,"c2"
-56,"TRUE",71,"c2"
-56,"localization",6,"c2"
-55,"FALSE",55,"c2"
-55,"TRUE",60,"c2"
-55,"localization",9,"c2"
-54,"FALSE",69,"c2"
-54,"TRUE",62,"c2"
-54,"localization",8,"c2"
-53,"FALSE",71,"c2"
-53,"TRUE",102,"c2"
-53,"localization",8,"c2"
-52,"FALSE",56,"c2"
-52,"TRUE",110,"c2"
-52,"localization",11,"c2"
-51,"FALSE",38,"c2"
-51,"TRUE",56,"c2"
-51,"localization",10,"c2"
-50,"FALSE",50,"c2"
-50,"TRUE",47,"c2"
-50,"localization",7,"c2"
-49,"FALSE",41,"c2"
-49,"TRUE",71,"c2"
-49,"localization",6,"c2"
-48,"FALSE",50,"c2"
-48,"TRUE",79,"c2"
-48,"localization",8,"c2"
-47,"FALSE",83,"c2"
-47,"TRUE",113,"c2"
-47,"localization",4,"c2"
-46,"FALSE",67,"c2"
-46,"TRUE",68,"c2"
-46,"localization",10,"c2"
-45,"FALSE",70,"c2"
-45,"TRUE",86,"c2"
-45,"localization",12,"c2"
-44,"FALSE",72,"c2"
-44,"TRUE",62,"c2"
-44,"localization",8,"c2"
-43,"FALSE",63,"c2"
-43,"TRUE",58,"c2"
-43,"localization",11,"c2"
-42,"FALSE",53,"c2"
-42,"TRUE",59,"c2"
-42,"localization",10,"c2"
-41,"FALSE",64,"c2"
-41,"TRUE",57,"c2"
-41,"localization",9,"c2"
-40,"FALSE",52,"c2"
-40,"TRUE",59,"c2"
-40,"localization",7,"c2"
-39,"FALSE",41,"c2"
-39,"TRUE",49,"c2"
-39,"localization",10,"c2"
-38,"FALSE",81,"c2"
-38,"Gerrit",29,"c2"
-38,"TRUE",61,"c2"
-38,"localization",9,"c2"
-37,"FALSE",28,"c2"
-37,"Gerrit",21,"c2"
-37,"TRUE",37,"c2"
-37,"localization",10,"c2"
-36,"FALSE",51,"c2"
-36,"Gerrit",11,"c2"
-36,"TRUE",19,"c2"
-36,"localization",7,"c2"
-35,"FALSE",27,"c2"
-35,"Gerrit",7,"c2"
-35,"TRUE",10,"c2"
-35,"localization",8,"c2"
-34,"FALSE",55,"c2"
-34,"Gerrit",30,"c2"
-34,"TRUE",26,"c2"
-34,"localization",7,"c2"
-33,"FALSE",41,"c2"
-33,"Gerrit",22,"c2"
-33,"TRUE",47,"c2"
-33,"localization",9,"c2"
-32,"FALSE",50,"c2"
-32,"Gerrit",32,"c2"
-32,"TRUE",34,"c2"
-32,"localization",7,"c2"
-31,"FALSE",61,"c2"
-31,"Gerrit",42,"c2"
-31,"TRUE",31,"c2"
-31,"localization",10,"c2"
-30,"FALSE",28,"c2"
-30,"Gerrit",41,"c2"
-30,"TRUE",33,"c2"
-30,"localization",10,"c2"
-29,"FALSE",48,"c2"
-29,"Gerrit",38,"c2"
-29,"TRUE",30,"c2"
-29,"localization",10,"c2"
-28,"FALSE",55,"c2"
-28,"Gerrit",20,"c2"
-28,"TRUE",21,"c2"
-28,"localization",9,"c2"
-27,"FALSE",41,"c2"
-27,"Gerrit",44,"c2"
-27,"TRUE",37,"c2"
-27,"localization",9,"c2"
-26,"FALSE",41,"c2"
-26,"Gerrit",31,"c2"
-26,"TRUE",43,"c2"
-26,"localization",11,"c2"
-25,"FALSE",52,"c2"
-25,"Gerrit",53,"c2"
-25,"TRUE",51,"c2"
-25,"localization",10,"c2"
-24,"FALSE",39,"c2"
-24,"Gerrit",37,"c2"
-24,"TRUE",43,"c2"
-24,"localization",9,"c2"
-23,"FALSE",40,"c2"
-23,"Gerrit",34,"c2"
-23,"TRUE",32,"c2"
-23,"localization",6,"c2"
-22,"FALSE",53,"c2"
-22,"Gerrit",41,"c2"
-22,"TRUE",50,"c2"
-22,"localization",10,"c2"
-21,"FALSE",40,"c2"
-21,"Gerrit",41,"c2"
-21,"TRUE",41,"c2"
-21,"localization",10,"c2"
-20,"FALSE",32,"c2"
-20,"Gerrit",25,"c2"
-20,"TRUE",36,"c2"
-20,"localization",10,"c2"
-19,"FALSE",46,"c2"
-19,"Gerrit",30,"c2"
-19,"TRUE",55,"c2"
-19,"localization",8,"c2"
-18,"FALSE",52,"c2"
-18,"Gerrit",29,"c2"
-18,"TRUE",31,"c2"
-18,"localization",8,"c2"
-17,"FALSE",29,"c2"
-17,"Gerrit",36,"c2"
-17,"TRUE",34,"c2"
-17,"localization",8,"c2"
-16,"FALSE",33,"c2"
-16,"Gerrit",30,"c2"
-16,"TRUE",24,"c2"
-16,"localization",10,"c2"
-15,"FALSE",45,"c2"
-15,"Gerrit",30,"c2"
-15,"TRUE",29,"c2"
-15,"localization",6,"c2"
-14,"FALSE",37,"c2"
-14,"Gerrit",24,"c2"
-14,"TRUE",19,"c2"
-14,"localization",8,"c2"
-13,"FALSE",39,"c2"
-13,"Gerrit",36,"c2"
-13,"TRUE",25,"c2"
-13,"localization",6,"c2"
-12,"FALSE",38,"c2"
-12,"Gerrit",24,"c2"
-12,"TRUE",25,"c2"
-12,"localization",3,"c2"
-11,"FALSE",19,"c2"
-11,"Gerrit",15,"c2"
-11,"TRUE",17,"c2"
-11,"localization",11,"c2"
-10,"FALSE",25,"c2"
-10,"Gerrit",23,"c2"
-10,"TRUE",22,"c2"
-10,"localization",9,"c2"
-9,"FALSE",42,"c2"
-9,"Gerrit",49,"c2"
-9,"TRUE",12,"c2"
-9,"localization",7,"c2"
-8,"FALSE",45,"c2"
-8,"Gerrit",29,"c2"
-8,"TRUE",18,"c2"
-8,"localization",10,"c2"
-7,"FALSE",24,"c2"
-7,"Gerrit",24,"c2"
-7,"TRUE",12,"c2"
-7,"localization",7,"c2"
-6,"FALSE",28,"c2"
-6,"Gerrit",23,"c2"
-6,"TRUE",14,"c2"
-6,"localization",7,"c2"
-5,"FALSE",42,"c2"
-5,"Gerrit",31,"c2"
-5,"TRUE",17,"c2"
-5,"localization",7,"c2"
-4,"FALSE",29,"c2"
-4,"Gerrit",27,"c2"
-4,"TRUE",13,"c2"
-4,"localization",9,"c2"
-3,"FALSE",33,"c2"
-3,"Gerrit",28,"c2"
-3,"TRUE",12,"c2"
-3,"localization",7,"c2"
-2,"FALSE",39,"c2"
-2,"Gerrit",19,"c2"
-2,"TRUE",15,"c2"
-2,"localization",8,"c2"
-1,"FALSE",38,"c2"
-1,"Gerrit",35,"c2"
-1,"TRUE",21,"c2"
-1,"localization",8,"c2"
0,"FALSE",21,"c2"
0,"Gerrit",22,"c2"
0,"TRUE",12,"c2"
0,"localization",5,"c2"
1,"FALSE",22,"c2"
1,"Gerrit",21,"c2"
1,"TRUE",3,"c2"
1,"localization",5,"c2"
2,"FALSE",16,"c2"
2,"Gerrit",24,"c2"
2,"TRUE",16,"c2"
2,"localization",8,"c2"
3,"FALSE",30,"c2"
3,"Gerrit",25,"c2"
3,"TRUE",29,"c2"
3,"localization",8,"c2"
4,"FALSE",23,"c2"
4,"Gerrit",37,"c2"
4,"TRUE",31,"c2"
4,"localization",8,"c2"
5,"FALSE",27,"c2"
5,"Gerrit",30,"c2"
5,"TRUE",37,"c2"
5,"localization",7,"c2"
6,"FALSE",30,"c2"
6,"Gerrit",29,"c2"
6,"TRUE",27,"c2"
6,"localization",7,"c2"
7,"FALSE",30,"c2"
7,"Gerrit",39,"c2"
7,"TRUE",42,"c2"
7,"localization",7,"c2"
8,"FALSE",54,"c2"
8,"Gerrit",43,"c2"
8,"TRUE",47,"c2"
8,"localization",8,"c2"
9,"FALSE",30,"c2"
9,"Gerrit",40,"c2"
9,"TRUE",28,"c2"
9,"localization",7,"c2"
10,"FALSE",62,"c2"
10,"Gerrit",65,"c2"
10,"TRUE",34,"c2"
10,"localization",9,"c2"
11,"FALSE",133,"c2"
11,"Gerrit",105,"c2"
11,"TRUE",31,"c2"
11,"localization",9,"c2"
12,"FALSE",111,"c2"
12,"Gerrit",100,"c2"
12,"TRUE",25,"c2"
12,"localization",12,"c2"
13,"FALSE",57,"c2"
13,"Gerrit",44,"c2"
13,"TRUE",21,"c2"
13,"localization",7,"c2"
-83,"FALSE",67,"c3"
-83,"Gerrit",52,"c3"
-83,"TRUE",25,"c3"
-83,"localization",7,"c3"
-82,"FALSE",86,"c3"
-82,"Gerrit",77,"c3"
-82,"TRUE",23,"c3"
-82,"localization",8,"c3"
-81,"FALSE",56,"c3"
-81,"Gerrit",36,"c3"
-81,"TRUE",31,"c3"
-81,"localization",9,"c3"
-80,"FALSE",38,"c3"
-80,"Gerrit",35,"c3"
-80,"TRUE",24,"c3"
-80,"localization",7,"c3"
-79,"FALSE",66,"c3"
-79,"Gerrit",51,"c3"
-79,"TRUE",16,"c3"
-79,"localization",7,"c3"
-78,"FALSE",68,"c3"
-78,"Gerrit",60,"c3"
-78,"TRUE",43,"c3"
-78,"localization",7,"c3"
-77,"FALSE",40,"c3"
-77,"Gerrit",44,"c3"
-77,"TRUE",25,"c3"
-77,"localization",9,"c3"
-76,"FALSE",27,"c3"
-76,"Gerrit",25,"c3"
-76,"TRUE",25,"c3"
-76,"localization",7,"c3"
-75,"FALSE",81,"c3"
-75,"Gerrit",77,"c3"
-75,"TRUE",21,"c3"
-75,"localization",6,"c3"
-74,"FALSE",37,"c3"
-74,"Gerrit",52,"c3"
-74,"TRUE",32,"c3"
-74,"localization",6,"c3"
-73,"FALSE",30,"c3"
-73,"Gerrit",32,"c3"
-73,"TRUE",30,"c3"
-73,"localization",9,"c3"
-72,"FALSE",36,"c3"
-72,"Gerrit",31,"c3"
-72,"TRUE",20,"c3"
-72,"localization",7,"c3"
-71,"FALSE",39,"c3"
-71,"Gerrit",29,"c3"
-71,"TRUE",20,"c3"
-71,"localization",8,"c3"
-70,"FALSE",54,"c3"
-70,"Gerrit",53,"c3"
-70,"TRUE",37,"c3"
-70,"localization",5,"c3"
-69,"FALSE",45,"c3"
-69,"Gerrit",59,"c3"
-69,"TRUE",37,"c3"
-69,"localization",6,"c3"
-68,"FALSE",39,"c3"
-68,"Gerrit",43,"c3"
-68,"TRUE",24,"c3"
-68,"localization",5,"c3"
-67,"FALSE",50,"c3"
-67,"Gerrit",71,"c3"
-67,"TRUE",33,"c3"
-67,"localization",7,"c3"
-66,"FALSE",45,"c3"
-66,"Gerrit",34,"c3"
-66,"TRUE",39,"c3"
-66,"localization",8,"c3"
-65,"FALSE",65,"c3"
-65,"Gerrit",48,"c3"
-65,"TRUE",30,"c3"
-65,"localization",9,"c3"
-64,"FALSE",69,"c3"
-64,"Gerrit",63,"c3"
-64,"TRUE",40,"c3"
-64,"localization",9,"c3"
-63,"FALSE",95,"c3"
-63,"Gerrit",100,"c3"
-63,"TRUE",44,"c3"
-63,"localization",8,"c3"
-62,"FALSE",52,"c3"
-62,"Gerrit",69,"c3"
-62,"TRUE",56,"c3"
-62,"localization",10,"c3"
-61,"FALSE",37,"c3"
-61,"Gerrit",59,"c3"
-61,"TRUE",47,"c3"
-61,"localization",10,"c3"
-60,"FALSE",106,"c3"
-60,"Gerrit",82,"c3"
-60,"TRUE",38,"c3"
-60,"localization",6,"c3"
-59,"FALSE",36,"c3"
-59,"Gerrit",54,"c3"
-59,"TRUE",48,"c3"
-59,"localization",9,"c3"
-58,"FALSE",41,"c3"
-58,"Gerrit",51,"c3"
-58,"TRUE",27,"c3"
-58,"localization",7,"c3"
-57,"FALSE",30,"c3"
-57,"Gerrit",42,"c3"
-57,"TRUE",38,"c3"
-57,"localization",9,"c3"
-56,"FALSE",40,"c3"
-56,"Gerrit",45,"c3"
-56,"TRUE",33,"c3"
-56,"localization",8,"c3"
-55,"FALSE",30,"c3"
-55,"Gerrit",25,"c3"
-55,"TRUE",24,"c3"
-55,"localization",7,"c3"
-54,"FALSE",69,"c3"
-54,"Gerrit",61,"c3"
-54,"TRUE",37,"c3"
-54,"localization",8,"c3"
-53,"FALSE",68,"c3"
-53,"Gerrit",87,"c3"
-53,"TRUE",45,"c3"
-53,"localization",10,"c3"
-52,"FALSE",60,"c3"
-52,"Gerrit",53,"c3"
-52,"TRUE",37,"c3"
-52,"localization",9,"c3"
-51,"FALSE",59,"c3"
-51,"Gerrit",62,"c3"
-51,"TRUE",40,"c3"
-51,"localization",8,"c3"
-50,"FALSE",83,"c3"
-50,"Gerrit",91,"c3"
-50,"TRUE",42,"c3"
-50,"localization",10,"c3"
-49,"FALSE",80,"c3"
-49,"Gerrit",85,"c3"
-49,"TRUE",38,"c3"
-49,"localization",9,"c3"
-48,"FALSE",88,"c3"
-48,"Gerrit",52,"c3"
-48,"TRUE",22,"c3"
-48,"localization",7,"c3"
-47,"FALSE",90,"c3"
-47,"Gerrit",53,"c3"
-47,"TRUE",18,"c3"
-47,"localization",7,"c3"
-46,"FALSE",70,"c3"
-46,"Gerrit",63,"c3"
-46,"TRUE",16,"c3"
-46,"localization",7,"c3"
-45,"FALSE",57,"c3"
-45,"Gerrit",60,"c3"
-45,"TRUE",35,"c3"
-45,"localization",7,"c3"
-44,"FALSE",42,"c3"
-44,"Gerrit",56,"c3"
-44,"TRUE",24,"c3"
-44,"localization",10,"c3"
-43,"FALSE",44,"c3"
-43,"Gerrit",58,"c3"
-43,"TRUE",38,"c3"
-43,"localization",6,"c3"
-42,"FALSE",63,"c3"
-42,"Gerrit",69,"c3"
-42,"TRUE",39,"c3"
-42,"localization",6,"c3"
-41,"FALSE",86,"c3"
-41,"Gerrit",97,"c3"
-41,"TRUE",52,"c3"
-41,"localization",8,"c3"
-40,"FALSE",65,"c3"
-40,"Gerrit",62,"c3"
-40,"TRUE",40,"c3"
-40,"localization",7,"c3"
-39,"FALSE",31,"c3"
-39,"Gerrit",54,"c3"
-39,"TRUE",26,"c3"
-39,"localization",5,"c3"
-38,"FALSE",30,"c3"
-38,"Gerrit",23,"c3"
-38,"TRUE",25,"c3"
-38,"localization",7,"c3"
-37,"FALSE",34,"c3"
-37,"Gerrit",47,"c3"
-37,"TRUE",40,"c3"
-37,"localization",9,"c3"
-36,"FALSE",35,"c3"
-36,"Gerrit",40,"c3"
-36,"TRUE",19,"c3"
-36,"localization",9,"c3"
-35,"FALSE",34,"c3"
-35,"Gerrit",36,"c3"
-35,"TRUE",29,"c3"
-35,"localization",8,"c3"
-34,"FALSE",29,"c3"
-34,"Gerrit",32,"c3"
-34,"TRUE",25,"c3"
-34,"localization",7,"c3"
-33,"FALSE",39,"c3"
-33,"Gerrit",40,"c3"
-33,"TRUE",45,"c3"
-33,"localization",9,"c3"
-32,"FALSE",34,"c3"
-32,"Gerrit",38,"c3"
-32,"TRUE",40,"c3"
-32,"localization",8,"c3"
-31,"FALSE",19,"c3"
-31,"Gerrit",38,"c3"
-31,"TRUE",33,"c3"
-31,"localization",8,"c3"
-30,"FALSE",41,"c3"
-30,"Gerrit",49,"c3"
-30,"TRUE",50,"c3"
-30,"localization",9,"c3"
-29,"FALSE",35,"c3"
-29,"Gerrit",36,"c3"
-29,"TRUE",32,"c3"
-29,"localization",8,"c3"
-28,"FALSE",35,"c3"
-28,"Gerrit",31,"c3"
-28,"TRUE",24,"c3"
-28,"localization",7,"c3"
-27,"FALSE",28,"c3"
-27,"Gerrit",17,"c3"
-27,"TRUE",8,"c3"
-27,"localization",4,"c3"
-26,"FALSE",39,"c3"
-26,"Gerrit",30,"c3"
-26,"TRUE",18,"c3"
-26,"localization",6,"c3"
-25,"FALSE",51,"c3"
-25,"Gerrit",51,"c3"
-25,"TRUE",36,"c3"
-25,"localization",8,"c3"
-24,"FALSE",23,"c3"
-24,"Gerrit",8,"c3"
-24,"TRUE",17,"c3"
-24,"localization",7,"c3"
-23,"FALSE",34,"c3"
-23,"Gerrit",32,"c3"
-23,"TRUE",16,"c3"
-23,"localization",8,"c3"
-22,"FALSE",53,"c3"
-22,"Gerrit",34,"c3"
-22,"TRUE",20,"c3"
-22,"localization",5,"c3"
-21,"FALSE",28,"c3"
-21,"Gerrit",46,"c3"
-21,"TRUE",35,"c3"
-21,"localization",7,"c3"
-20,"FALSE",29,"c3"
-20,"Gerrit",42,"c3"
-20,"TRUE",35,"c3"
-20,"localization",7,"c3"
-19,"FALSE",55,"c3"
-19,"Gerrit",60,"c3"
-19,"TRUE",32,"c3"
-19,"localization",7,"c3"
-18,"FALSE",39,"c3"
-18,"Gerrit",55,"c3"
-18,"TRUE",47,"c3"
-18,"localization",6,"c3"
-17,"FALSE",16,"c3"
-17,"Gerrit",22,"c3"
-17,"TRUE",31,"c3"
-17,"localization",8,"c3"
-16,"FALSE",41,"c3"
-16,"Gerrit",50,"c3"
-16,"TRUE",32,"c3"
-16,"localization",6,"c3"
-15,"FALSE",31,"c3"
-15,"Gerrit",26,"c3"
-15,"TRUE",21,"c3"
-15,"localization",6,"c3"
-14,"FALSE",61,"c3"
-14,"Gerrit",70,"c3"
-14,"TRUE",57,"c3"
-14,"localization",7,"c3"
-13,"FALSE",34,"c3"
-13,"Gerrit",78,"c3"
-13,"TRUE",64,"c3"
-13,"localization",9,"c3"
-12,"FALSE",30,"c3"
-12,"Gerrit",44,"c3"
-12,"TRUE",35,"c3"
-12,"localization",8,"c3"
-11,"FALSE",26,"c3"
-11,"Gerrit",58,"c3"
-11,"TRUE",49,"c3"
-11,"localization",8,"c3"
-10,"FALSE",15,"c3"
-10,"Gerrit",38,"c3"
-10,"TRUE",53,"c3"
-10,"localization",7,"c3"
-9,"FALSE",30,"c3"
-9,"Gerrit",43,"c3"
-9,"TRUE",35,"c3"
-9,"localization",9,"c3"
-8,"FALSE",13,"c3"
-8,"Gerrit",36,"c3"
-8,"TRUE",44,"c3"
-8,"localization",6,"c3"
-7,"FALSE",40,"c3"
-7,"Gerrit",40,"c3"
-7,"TRUE",25,"c3"
-7,"localization",8,"c3"
-6,"FALSE",27,"c3"
-6,"Gerrit",41,"c3"
-6,"TRUE",35,"c3"
-6,"localization",8,"c3"
-5,"FALSE",42,"c3"
-5,"Gerrit",47,"c3"
-5,"TRUE",41,"c3"
-5,"localization",9,"c3"
-4,"FALSE",27,"c3"
-4,"Gerrit",38,"c3"
-4,"TRUE",35,"c3"
-4,"localization",8,"c3"
-3,"FALSE",38,"c3"
-3,"Gerrit",49,"c3"
-3,"TRUE",21,"c3"
-3,"localization",8,"c3"
-2,"FALSE",25,"c3"
-2,"Gerrit",35,"c3"
-2,"TRUE",31,"c3"
-2,"localization",5,"c3"
-1,"FALSE",47,"c3"
-1,"Gerrit",46,"c3"
-1,"TRUE",32,"c3"
-1,"localization",8,"c3"
0,"FALSE",27,"c3"
0,"Gerrit",40,"c3"
0,"TRUE",34,"c3"
0,"localization",8,"c3"
1,"FALSE",41,"c3"
1,"Gerrit",61,"c3"
1,"TRUE",35,"c3"
1,"localization",9,"c3"
2,"FALSE",46,"c3"
2,"Gerrit",55,"c3"
2,"TRUE",28,"c3"
2,"localization",10,"c3"
3,"FALSE",61,"c3"
3,"Gerrit",59,"c3"
3,"TRUE",24,"c3"
3,"localization",6,"c3"
4,"FALSE",47,"c3"
4,"Gerrit",42,"c3"
4,"TRUE",39,"c3"
4,"localization",6,"c3"
5,"FALSE",43,"c3"
5,"Gerrit",35,"c3"
5,"TRUE",30,"c3"
5,"localization",7,"c3"
6,"FALSE",31,"c3"
6,"Gerrit",62,"c3"
6,"TRUE",41,"c3"
6,"localization",6,"c3"
7,"FALSE",42,"c3"
7,"Gerrit",49,"c3"
7,"TRUE",44,"c3"
7,"localization",9,"c3"
8,"FALSE",35,"c3"
8,"Gerrit",58,"c3"
8,"TRUE",45,"c3"
8,"localization",9,"c3"
9,"FALSE",40,"c3"
9,"Gerrit",68,"c3"
9,"TRUE",42,"c3"
9,"localization",7,"c3"
10,"FALSE",46,"c3"
10,"Gerrit",45,"c3"
10,"TRUE",30,"c3"
10,"localization",7,"c3"
11,"FALSE",54,"c3"
11,"Gerrit",80,"c3"
11,"TRUE",53,"c3"
11,"localization",7,"c3"
12,"FALSE",142,"c3"
12,"Gerrit",189,"c3"
12,"TRUE",98,"c3"
12,"localization",8,"c3"
13,"FALSE",56,"c3"
13,"Gerrit",76,"c3"
13,"TRUE",76,"c3"
13,"localization",9,"c3"
1 week_index isAuthorWMF count source
2 -33 FALSE 47 c1
3 -33 TRUE 48 c1
4 -33 localization 9 c1
5 -32 FALSE 52 c1
6 -32 TRUE 51 c1
7 -32 localization 7 c1
8 -31 FALSE 52 c1
9 -31 TRUE 58 c1
10 -31 localization 9 c1
11 -30 FALSE 81 c1
12 -30 Gerrit 18 c1
13 -30 TRUE 56 c1
14 -30 localization 9 c1
15 -29 FALSE 30 c1
16 -29 Gerrit 23 c1
17 -29 TRUE 55 c1
18 -29 localization 10 c1
19 -28 FALSE 47 c1
20 -28 Gerrit 19 c1
21 -28 TRUE 22 c1
22 -28 localization 9 c1
23 -27 FALSE 33 c1
24 -27 Gerrit 5 c1
25 -27 TRUE 13 c1
26 -27 localization 7 c1
27 -26 FALSE 49 c1
28 -26 Gerrit 23 c1
29 -26 TRUE 13 c1
30 -26 localization 7 c1
31 -25 FALSE 46 c1
32 -25 Gerrit 27 c1
33 -25 TRUE 46 c1
34 -25 localization 9 c1
35 -24 FALSE 44 c1
36 -24 Gerrit 21 c1
37 -24 TRUE 39 c1
38 -24 localization 6 c1
39 -23 FALSE 50 c1
40 -23 Gerrit 44 c1
41 -23 TRUE 30 c1
42 -23 localization 10 c1
43 -22 FALSE 38 c1
44 -22 Gerrit 41 c1
45 -22 TRUE 36 c1
46 -22 localization 9 c1
47 -21 FALSE 58 c1
48 -21 Gerrit 46 c1
49 -21 TRUE 28 c1
50 -21 localization 11 c1
51 -20 FALSE 38 c1
52 -20 Gerrit 17 c1
53 -20 TRUE 28 c1
54 -20 localization 10 c1
55 -19 FALSE 45 c1
56 -19 Gerrit 37 c1
57 -19 TRUE 28 c1
58 -19 localization 8 c1
59 -18 FALSE 41 c1
60 -18 Gerrit 34 c1
61 -18 TRUE 35 c1
62 -18 localization 11 c1
63 -17 FALSE 54 c1
64 -17 Gerrit 49 c1
65 -17 TRUE 55 c1
66 -17 localization 10 c1
67 -16 FALSE 37 c1
68 -16 Gerrit 41 c1
69 -16 TRUE 40 c1
70 -16 localization 10 c1
71 -15 FALSE 49 c1
72 -15 Gerrit 36 c1
73 -15 TRUE 43 c1
74 -15 localization 5 c1
75 -14 FALSE 36 c1
76 -14 Gerrit 27 c1
77 -14 TRUE 40 c1
78 -14 localization 9 c1
79 -13 FALSE 49 c1
80 -13 Gerrit 45 c1
81 -13 TRUE 45 c1
82 -13 localization 11 c1
83 -12 FALSE 43 c1
84 -12 Gerrit 42 c1
85 -12 TRUE 32 c1
86 -12 localization 9 c1
87 -11 FALSE 37 c1
88 -11 Gerrit 24 c1
89 -11 TRUE 53 c1
90 -11 localization 9 c1
91 -10 FALSE 46 c1
92 -10 Gerrit 29 c1
93 -10 TRUE 35 c1
94 -10 localization 8 c1
95 -9 FALSE 38 c1
96 -9 Gerrit 34 c1
97 -9 TRUE 37 c1
98 -9 localization 7 c1
99 -8 FALSE 36 c1
100 -8 Gerrit 34 c1
101 -8 TRUE 27 c1
102 -8 localization 11 c1
103 -7 FALSE 38 c1
104 -7 Gerrit 26 c1
105 -7 TRUE 28 c1
106 -7 localization 8 c1
107 -6 FALSE 45 c1
108 -6 Gerrit 30 c1
109 -6 TRUE 22 c1
110 -6 localization 8 c1
111 -5 FALSE 33 c1
112 -5 Gerrit 30 c1
113 -5 TRUE 24 c1
114 -5 localization 3 c1
115 -4 FALSE 36 c1
116 -4 Gerrit 26 c1
117 -4 TRUE 23 c1
118 -4 localization 4 c1
119 -3 FALSE 27 c1
120 -3 Gerrit 17 c1
121 -3 TRUE 26 c1
122 -3 localization 11 c1
123 -2 FALSE 24 c1
124 -2 Gerrit 23 c1
125 -2 TRUE 16 c1
126 -2 localization 8 c1
127 -1 FALSE 31 c1
128 -1 Gerrit 43 c1
129 -1 TRUE 17 c1
130 -1 localization 9 c1
131 0 FALSE 43 c1
132 0 Gerrit 29 c1
133 0 TRUE 16 c1
134 0 localization 8 c1
135 1 FALSE 38 c1
136 1 Gerrit 30 c1
137 1 TRUE 12 c1
138 1 localization 9 c1
139 2 FALSE 26 c1
140 2 Gerrit 23 c1
141 2 TRUE 14 c1
142 2 localization 7 c1
143 3 FALSE 40 c1
144 3 Gerrit 29 c1
145 3 TRUE 18 c1
146 3 localization 6 c1
147 4 FALSE 31 c1
148 4 Gerrit 27 c1
149 4 TRUE 14 c1
150 4 localization 9 c1
151 5 FALSE 29 c1
152 5 Gerrit 30 c1
153 5 TRUE 9 c1
154 5 localization 8 c1
155 6 FALSE 40 c1
156 6 Gerrit 17 c1
157 6 TRUE 11 c1
158 6 localization 8 c1
159 7 FALSE 44 c1
160 7 Gerrit 34 c1
161 7 TRUE 28 c1
162 7 localization 8 c1
163 8 FALSE 25 c1
164 8 Gerrit 28 c1
165 8 TRUE 11 c1
166 8 localization 5 c1
167 9 FALSE 23 c1
168 9 Gerrit 22 c1
169 9 TRUE 5 c1
170 9 localization 6 c1
171 10 FALSE 12 c1
172 10 Gerrit 18 c1
173 10 TRUE 11 c1
174 10 localization 6 c1
175 11 FALSE 27 c1
176 11 Gerrit 28 c1
177 11 TRUE 28 c1
178 11 localization 9 c1
179 12 FALSE 26 c1
180 12 Gerrit 30 c1
181 12 TRUE 29 c1
182 12 localization 7 c1
183 13 FALSE 22 c1
184 13 Gerrit 33 c1
185 13 TRUE 32 c1
186 13 localization 6 c1
187 -104 FALSE 149 c2
188 -103 FALSE 167 c2
189 -102 FALSE 177 c2
190 -101 FALSE 117 c2
191 -100 FALSE 127 c2
192 -99 FALSE 134 c2
193 -98 FALSE 115 c2
194 -97 FALSE 105 c2
195 -96 FALSE 149 c2
196 -95 FALSE 136 c2
197 -94 FALSE 147 c2
198 -93 FALSE 140 c2
199 -92 FALSE 116 c2
200 -91 FALSE 81 c2
201 -90 FALSE 165 c2
202 -89 FALSE 139 c2
203 -88 FALSE 138 c2
204 -87 FALSE 134 c2
205 -86 FALSE 209 c2
206 -85 FALSE 145 c2
207 -84 FALSE 119 c2
208 -83 FALSE 110 c2
209 -82 FALSE 104 c2
210 -81 FALSE 173 c2
211 -80 FALSE 131 c2
212 -79 FALSE 115 c2
213 -78 FALSE 106 c2
214 -77 FALSE 93 c2
215 -76 FALSE 96 c2
216 -75 FALSE 55 c2
217 -75 TRUE 34 c2
218 -74 FALSE 68 c2
219 -74 TRUE 45 c2
220 -74 localization 1 c2
221 -73 FALSE 63 c2
222 -73 TRUE 157 c2
223 -73 localization 3 c2
224 -72 FALSE 57 c2
225 -72 TRUE 59 c2
226 -72 localization 3 c2
227 -71 FALSE 34 c2
228 -71 TRUE 82 c2
229 -71 localization 7 c2
230 -70 FALSE 36 c2
231 -70 TRUE 123 c2
232 -70 localization 6 c2
233 -69 FALSE 57 c2
234 -69 TRUE 76 c2
235 -69 localization 6 c2
236 -68 FALSE 53 c2
237 -68 TRUE 103 c2
238 -68 localization 7 c2
239 -67 FALSE 40 c2
240 -67 TRUE 69 c2
241 -67 localization 5 c2
242 -66 FALSE 53 c2
243 -66 TRUE 66 c2
244 -66 localization 6 c2
245 -65 FALSE 64 c2
246 -65 TRUE 60 c2
247 -65 localization 9 c2
248 -64 FALSE 40 c2
249 -64 TRUE 86 c2
250 -64 localization 8 c2
251 -63 FALSE 38 c2
252 -63 TRUE 66 c2
253 -63 localization 8 c2
254 -62 FALSE 47 c2
255 -62 TRUE 61 c2
256 -62 localization 8 c2
257 -61 FALSE 50 c2
258 -61 TRUE 45 c2
259 -61 localization 8 c2
260 -60 FALSE 78 c2
261 -60 TRUE 58 c2
262 -60 localization 9 c2
263 -59 FALSE 31 c2
264 -59 TRUE 50 c2
265 -59 localization 1 c2
266 -58 FALSE 36 c2
267 -58 TRUE 66 c2
268 -58 localization 1 c2
269 -57 FALSE 41 c2
270 -57 TRUE 63 c2
271 -57 localization 1 c2
272 -56 FALSE 69 c2
273 -56 TRUE 71 c2
274 -56 localization 6 c2
275 -55 FALSE 55 c2
276 -55 TRUE 60 c2
277 -55 localization 9 c2
278 -54 FALSE 69 c2
279 -54 TRUE 62 c2
280 -54 localization 8 c2
281 -53 FALSE 71 c2
282 -53 TRUE 102 c2
283 -53 localization 8 c2
284 -52 FALSE 56 c2
285 -52 TRUE 110 c2
286 -52 localization 11 c2
287 -51 FALSE 38 c2
288 -51 TRUE 56 c2
289 -51 localization 10 c2
290 -50 FALSE 50 c2
291 -50 TRUE 47 c2
292 -50 localization 7 c2
293 -49 FALSE 41 c2
294 -49 TRUE 71 c2
295 -49 localization 6 c2
296 -48 FALSE 50 c2
297 -48 TRUE 79 c2
298 -48 localization 8 c2
299 -47 FALSE 83 c2
300 -47 TRUE 113 c2
301 -47 localization 4 c2
302 -46 FALSE 67 c2
303 -46 TRUE 68 c2
304 -46 localization 10 c2
305 -45 FALSE 70 c2
306 -45 TRUE 86 c2
307 -45 localization 12 c2
308 -44 FALSE 72 c2
309 -44 TRUE 62 c2
310 -44 localization 8 c2
311 -43 FALSE 63 c2
312 -43 TRUE 58 c2
313 -43 localization 11 c2
314 -42 FALSE 53 c2
315 -42 TRUE 59 c2
316 -42 localization 10 c2
317 -41 FALSE 64 c2
318 -41 TRUE 57 c2
319 -41 localization 9 c2
320 -40 FALSE 52 c2
321 -40 TRUE 59 c2
322 -40 localization 7 c2
323 -39 FALSE 41 c2
324 -39 TRUE 49 c2
325 -39 localization 10 c2
326 -38 FALSE 81 c2
327 -38 Gerrit 29 c2
328 -38 TRUE 61 c2
329 -38 localization 9 c2
330 -37 FALSE 28 c2
331 -37 Gerrit 21 c2
332 -37 TRUE 37 c2
333 -37 localization 10 c2
334 -36 FALSE 51 c2
335 -36 Gerrit 11 c2
336 -36 TRUE 19 c2
337 -36 localization 7 c2
338 -35 FALSE 27 c2
339 -35 Gerrit 7 c2
340 -35 TRUE 10 c2
341 -35 localization 8 c2
342 -34 FALSE 55 c2
343 -34 Gerrit 30 c2
344 -34 TRUE 26 c2
345 -34 localization 7 c2
346 -33 FALSE 41 c2
347 -33 Gerrit 22 c2
348 -33 TRUE 47 c2
349 -33 localization 9 c2
350 -32 FALSE 50 c2
351 -32 Gerrit 32 c2
352 -32 TRUE 34 c2
353 -32 localization 7 c2
354 -31 FALSE 61 c2
355 -31 Gerrit 42 c2
356 -31 TRUE 31 c2
357 -31 localization 10 c2
358 -30 FALSE 28 c2
359 -30 Gerrit 41 c2
360 -30 TRUE 33 c2
361 -30 localization 10 c2
362 -29 FALSE 48 c2
363 -29 Gerrit 38 c2
364 -29 TRUE 30 c2
365 -29 localization 10 c2
366 -28 FALSE 55 c2
367 -28 Gerrit 20 c2
368 -28 TRUE 21 c2
369 -28 localization 9 c2
370 -27 FALSE 41 c2
371 -27 Gerrit 44 c2
372 -27 TRUE 37 c2
373 -27 localization 9 c2
374 -26 FALSE 41 c2
375 -26 Gerrit 31 c2
376 -26 TRUE 43 c2
377 -26 localization 11 c2
378 -25 FALSE 52 c2
379 -25 Gerrit 53 c2
380 -25 TRUE 51 c2
381 -25 localization 10 c2
382 -24 FALSE 39 c2
383 -24 Gerrit 37 c2
384 -24 TRUE 43 c2
385 -24 localization 9 c2
386 -23 FALSE 40 c2
387 -23 Gerrit 34 c2
388 -23 TRUE 32 c2
389 -23 localization 6 c2
390 -22 FALSE 53 c2
391 -22 Gerrit 41 c2
392 -22 TRUE 50 c2
393 -22 localization 10 c2
394 -21 FALSE 40 c2
395 -21 Gerrit 41 c2
396 -21 TRUE 41 c2
397 -21 localization 10 c2
398 -20 FALSE 32 c2
399 -20 Gerrit 25 c2
400 -20 TRUE 36 c2
401 -20 localization 10 c2
402 -19 FALSE 46 c2
403 -19 Gerrit 30 c2
404 -19 TRUE 55 c2
405 -19 localization 8 c2
406 -18 FALSE 52 c2
407 -18 Gerrit 29 c2
408 -18 TRUE 31 c2
409 -18 localization 8 c2
410 -17 FALSE 29 c2
411 -17 Gerrit 36 c2
412 -17 TRUE 34 c2
413 -17 localization 8 c2
414 -16 FALSE 33 c2
415 -16 Gerrit 30 c2
416 -16 TRUE 24 c2
417 -16 localization 10 c2
418 -15 FALSE 45 c2
419 -15 Gerrit 30 c2
420 -15 TRUE 29 c2
421 -15 localization 6 c2
422 -14 FALSE 37 c2
423 -14 Gerrit 24 c2
424 -14 TRUE 19 c2
425 -14 localization 8 c2
426 -13 FALSE 39 c2
427 -13 Gerrit 36 c2
428 -13 TRUE 25 c2
429 -13 localization 6 c2
430 -12 FALSE 38 c2
431 -12 Gerrit 24 c2
432 -12 TRUE 25 c2
433 -12 localization 3 c2
434 -11 FALSE 19 c2
435 -11 Gerrit 15 c2
436 -11 TRUE 17 c2
437 -11 localization 11 c2
438 -10 FALSE 25 c2
439 -10 Gerrit 23 c2
440 -10 TRUE 22 c2
441 -10 localization 9 c2
442 -9 FALSE 42 c2
443 -9 Gerrit 49 c2
444 -9 TRUE 12 c2
445 -9 localization 7 c2
446 -8 FALSE 45 c2
447 -8 Gerrit 29 c2
448 -8 TRUE 18 c2
449 -8 localization 10 c2
450 -7 FALSE 24 c2
451 -7 Gerrit 24 c2
452 -7 TRUE 12 c2
453 -7 localization 7 c2
454 -6 FALSE 28 c2
455 -6 Gerrit 23 c2
456 -6 TRUE 14 c2
457 -6 localization 7 c2
458 -5 FALSE 42 c2
459 -5 Gerrit 31 c2
460 -5 TRUE 17 c2
461 -5 localization 7 c2
462 -4 FALSE 29 c2
463 -4 Gerrit 27 c2
464 -4 TRUE 13 c2
465 -4 localization 9 c2
466 -3 FALSE 33 c2
467 -3 Gerrit 28 c2
468 -3 TRUE 12 c2
469 -3 localization 7 c2
470 -2 FALSE 39 c2
471 -2 Gerrit 19 c2
472 -2 TRUE 15 c2
473 -2 localization 8 c2
474 -1 FALSE 38 c2
475 -1 Gerrit 35 c2
476 -1 TRUE 21 c2
477 -1 localization 8 c2
478 0 FALSE 21 c2
479 0 Gerrit 22 c2
480 0 TRUE 12 c2
481 0 localization 5 c2
482 1 FALSE 22 c2
483 1 Gerrit 21 c2
484 1 TRUE 3 c2
485 1 localization 5 c2
486 2 FALSE 16 c2
487 2 Gerrit 24 c2
488 2 TRUE 16 c2
489 2 localization 8 c2
490 3 FALSE 30 c2
491 3 Gerrit 25 c2
492 3 TRUE 29 c2
493 3 localization 8 c2
494 4 FALSE 23 c2
495 4 Gerrit 37 c2
496 4 TRUE 31 c2
497 4 localization 8 c2
498 5 FALSE 27 c2
499 5 Gerrit 30 c2
500 5 TRUE 37 c2
501 5 localization 7 c2
502 6 FALSE 30 c2
503 6 Gerrit 29 c2
504 6 TRUE 27 c2
505 6 localization 7 c2
506 7 FALSE 30 c2
507 7 Gerrit 39 c2
508 7 TRUE 42 c2
509 7 localization 7 c2
510 8 FALSE 54 c2
511 8 Gerrit 43 c2
512 8 TRUE 47 c2
513 8 localization 8 c2
514 9 FALSE 30 c2
515 9 Gerrit 40 c2
516 9 TRUE 28 c2
517 9 localization 7 c2
518 10 FALSE 62 c2
519 10 Gerrit 65 c2
520 10 TRUE 34 c2
521 10 localization 9 c2
522 11 FALSE 133 c2
523 11 Gerrit 105 c2
524 11 TRUE 31 c2
525 11 localization 9 c2
526 12 FALSE 111 c2
527 12 Gerrit 100 c2
528 12 TRUE 25 c2
529 12 localization 12 c2
530 13 FALSE 57 c2
531 13 Gerrit 44 c2
532 13 TRUE 21 c2
533 13 localization 7 c2
534 -83 FALSE 67 c3
535 -83 Gerrit 52 c3
536 -83 TRUE 25 c3
537 -83 localization 7 c3
538 -82 FALSE 86 c3
539 -82 Gerrit 77 c3
540 -82 TRUE 23 c3
541 -82 localization 8 c3
542 -81 FALSE 56 c3
543 -81 Gerrit 36 c3
544 -81 TRUE 31 c3
545 -81 localization 9 c3
546 -80 FALSE 38 c3
547 -80 Gerrit 35 c3
548 -80 TRUE 24 c3
549 -80 localization 7 c3
550 -79 FALSE 66 c3
551 -79 Gerrit 51 c3
552 -79 TRUE 16 c3
553 -79 localization 7 c3
554 -78 FALSE 68 c3
555 -78 Gerrit 60 c3
556 -78 TRUE 43 c3
557 -78 localization 7 c3
558 -77 FALSE 40 c3
559 -77 Gerrit 44 c3
560 -77 TRUE 25 c3
561 -77 localization 9 c3
562 -76 FALSE 27 c3
563 -76 Gerrit 25 c3
564 -76 TRUE 25 c3
565 -76 localization 7 c3
566 -75 FALSE 81 c3
567 -75 Gerrit 77 c3
568 -75 TRUE 21 c3
569 -75 localization 6 c3
570 -74 FALSE 37 c3
571 -74 Gerrit 52 c3
572 -74 TRUE 32 c3
573 -74 localization 6 c3
574 -73 FALSE 30 c3
575 -73 Gerrit 32 c3
576 -73 TRUE 30 c3
577 -73 localization 9 c3
578 -72 FALSE 36 c3
579 -72 Gerrit 31 c3
580 -72 TRUE 20 c3
581 -72 localization 7 c3
582 -71 FALSE 39 c3
583 -71 Gerrit 29 c3
584 -71 TRUE 20 c3
585 -71 localization 8 c3
586 -70 FALSE 54 c3
587 -70 Gerrit 53 c3
588 -70 TRUE 37 c3
589 -70 localization 5 c3
590 -69 FALSE 45 c3
591 -69 Gerrit 59 c3
592 -69 TRUE 37 c3
593 -69 localization 6 c3
594 -68 FALSE 39 c3
595 -68 Gerrit 43 c3
596 -68 TRUE 24 c3
597 -68 localization 5 c3
598 -67 FALSE 50 c3
599 -67 Gerrit 71 c3
600 -67 TRUE 33 c3
601 -67 localization 7 c3
602 -66 FALSE 45 c3
603 -66 Gerrit 34 c3
604 -66 TRUE 39 c3
605 -66 localization 8 c3
606 -65 FALSE 65 c3
607 -65 Gerrit 48 c3
608 -65 TRUE 30 c3
609 -65 localization 9 c3
610 -64 FALSE 69 c3
611 -64 Gerrit 63 c3
612 -64 TRUE 40 c3
613 -64 localization 9 c3
614 -63 FALSE 95 c3
615 -63 Gerrit 100 c3
616 -63 TRUE 44 c3
617 -63 localization 8 c3
618 -62 FALSE 52 c3
619 -62 Gerrit 69 c3
620 -62 TRUE 56 c3
621 -62 localization 10 c3
622 -61 FALSE 37 c3
623 -61 Gerrit 59 c3
624 -61 TRUE 47 c3
625 -61 localization 10 c3
626 -60 FALSE 106 c3
627 -60 Gerrit 82 c3
628 -60 TRUE 38 c3
629 -60 localization 6 c3
630 -59 FALSE 36 c3
631 -59 Gerrit 54 c3
632 -59 TRUE 48 c3
633 -59 localization 9 c3
634 -58 FALSE 41 c3
635 -58 Gerrit 51 c3
636 -58 TRUE 27 c3
637 -58 localization 7 c3
638 -57 FALSE 30 c3
639 -57 Gerrit 42 c3
640 -57 TRUE 38 c3
641 -57 localization 9 c3
642 -56 FALSE 40 c3
643 -56 Gerrit 45 c3
644 -56 TRUE 33 c3
645 -56 localization 8 c3
646 -55 FALSE 30 c3
647 -55 Gerrit 25 c3
648 -55 TRUE 24 c3
649 -55 localization 7 c3
650 -54 FALSE 69 c3
651 -54 Gerrit 61 c3
652 -54 TRUE 37 c3
653 -54 localization 8 c3
654 -53 FALSE 68 c3
655 -53 Gerrit 87 c3
656 -53 TRUE 45 c3
657 -53 localization 10 c3
658 -52 FALSE 60 c3
659 -52 Gerrit 53 c3
660 -52 TRUE 37 c3
661 -52 localization 9 c3
662 -51 FALSE 59 c3
663 -51 Gerrit 62 c3
664 -51 TRUE 40 c3
665 -51 localization 8 c3
666 -50 FALSE 83 c3
667 -50 Gerrit 91 c3
668 -50 TRUE 42 c3
669 -50 localization 10 c3
670 -49 FALSE 80 c3
671 -49 Gerrit 85 c3
672 -49 TRUE 38 c3
673 -49 localization 9 c3
674 -48 FALSE 88 c3
675 -48 Gerrit 52 c3
676 -48 TRUE 22 c3
677 -48 localization 7 c3
678 -47 FALSE 90 c3
679 -47 Gerrit 53 c3
680 -47 TRUE 18 c3
681 -47 localization 7 c3
682 -46 FALSE 70 c3
683 -46 Gerrit 63 c3
684 -46 TRUE 16 c3
685 -46 localization 7 c3
686 -45 FALSE 57 c3
687 -45 Gerrit 60 c3
688 -45 TRUE 35 c3
689 -45 localization 7 c3
690 -44 FALSE 42 c3
691 -44 Gerrit 56 c3
692 -44 TRUE 24 c3
693 -44 localization 10 c3
694 -43 FALSE 44 c3
695 -43 Gerrit 58 c3
696 -43 TRUE 38 c3
697 -43 localization 6 c3
698 -42 FALSE 63 c3
699 -42 Gerrit 69 c3
700 -42 TRUE 39 c3
701 -42 localization 6 c3
702 -41 FALSE 86 c3
703 -41 Gerrit 97 c3
704 -41 TRUE 52 c3
705 -41 localization 8 c3
706 -40 FALSE 65 c3
707 -40 Gerrit 62 c3
708 -40 TRUE 40 c3
709 -40 localization 7 c3
710 -39 FALSE 31 c3
711 -39 Gerrit 54 c3
712 -39 TRUE 26 c3
713 -39 localization 5 c3
714 -38 FALSE 30 c3
715 -38 Gerrit 23 c3
716 -38 TRUE 25 c3
717 -38 localization 7 c3
718 -37 FALSE 34 c3
719 -37 Gerrit 47 c3
720 -37 TRUE 40 c3
721 -37 localization 9 c3
722 -36 FALSE 35 c3
723 -36 Gerrit 40 c3
724 -36 TRUE 19 c3
725 -36 localization 9 c3
726 -35 FALSE 34 c3
727 -35 Gerrit 36 c3
728 -35 TRUE 29 c3
729 -35 localization 8 c3
730 -34 FALSE 29 c3
731 -34 Gerrit 32 c3
732 -34 TRUE 25 c3
733 -34 localization 7 c3
734 -33 FALSE 39 c3
735 -33 Gerrit 40 c3
736 -33 TRUE 45 c3
737 -33 localization 9 c3
738 -32 FALSE 34 c3
739 -32 Gerrit 38 c3
740 -32 TRUE 40 c3
741 -32 localization 8 c3
742 -31 FALSE 19 c3
743 -31 Gerrit 38 c3
744 -31 TRUE 33 c3
745 -31 localization 8 c3
746 -30 FALSE 41 c3
747 -30 Gerrit 49 c3
748 -30 TRUE 50 c3
749 -30 localization 9 c3
750 -29 FALSE 35 c3
751 -29 Gerrit 36 c3
752 -29 TRUE 32 c3
753 -29 localization 8 c3
754 -28 FALSE 35 c3
755 -28 Gerrit 31 c3
756 -28 TRUE 24 c3
757 -28 localization 7 c3
758 -27 FALSE 28 c3
759 -27 Gerrit 17 c3
760 -27 TRUE 8 c3
761 -27 localization 4 c3
762 -26 FALSE 39 c3
763 -26 Gerrit 30 c3
764 -26 TRUE 18 c3
765 -26 localization 6 c3
766 -25 FALSE 51 c3
767 -25 Gerrit 51 c3
768 -25 TRUE 36 c3
769 -25 localization 8 c3
770 -24 FALSE 23 c3
771 -24 Gerrit 8 c3
772 -24 TRUE 17 c3
773 -24 localization 7 c3
774 -23 FALSE 34 c3
775 -23 Gerrit 32 c3
776 -23 TRUE 16 c3
777 -23 localization 8 c3
778 -22 FALSE 53 c3
779 -22 Gerrit 34 c3
780 -22 TRUE 20 c3
781 -22 localization 5 c3
782 -21 FALSE 28 c3
783 -21 Gerrit 46 c3
784 -21 TRUE 35 c3
785 -21 localization 7 c3
786 -20 FALSE 29 c3
787 -20 Gerrit 42 c3
788 -20 TRUE 35 c3
789 -20 localization 7 c3
790 -19 FALSE 55 c3
791 -19 Gerrit 60 c3
792 -19 TRUE 32 c3
793 -19 localization 7 c3
794 -18 FALSE 39 c3
795 -18 Gerrit 55 c3
796 -18 TRUE 47 c3
797 -18 localization 6 c3
798 -17 FALSE 16 c3
799 -17 Gerrit 22 c3
800 -17 TRUE 31 c3
801 -17 localization 8 c3
802 -16 FALSE 41 c3
803 -16 Gerrit 50 c3
804 -16 TRUE 32 c3
805 -16 localization 6 c3
806 -15 FALSE 31 c3
807 -15 Gerrit 26 c3
808 -15 TRUE 21 c3
809 -15 localization 6 c3
810 -14 FALSE 61 c3
811 -14 Gerrit 70 c3
812 -14 TRUE 57 c3
813 -14 localization 7 c3
814 -13 FALSE 34 c3
815 -13 Gerrit 78 c3
816 -13 TRUE 64 c3
817 -13 localization 9 c3
818 -12 FALSE 30 c3
819 -12 Gerrit 44 c3
820 -12 TRUE 35 c3
821 -12 localization 8 c3
822 -11 FALSE 26 c3
823 -11 Gerrit 58 c3
824 -11 TRUE 49 c3
825 -11 localization 8 c3
826 -10 FALSE 15 c3
827 -10 Gerrit 38 c3
828 -10 TRUE 53 c3
829 -10 localization 7 c3
830 -9 FALSE 30 c3
831 -9 Gerrit 43 c3
832 -9 TRUE 35 c3
833 -9 localization 9 c3
834 -8 FALSE 13 c3
835 -8 Gerrit 36 c3
836 -8 TRUE 44 c3
837 -8 localization 6 c3
838 -7 FALSE 40 c3
839 -7 Gerrit 40 c3
840 -7 TRUE 25 c3
841 -7 localization 8 c3
842 -6 FALSE 27 c3
843 -6 Gerrit 41 c3
844 -6 TRUE 35 c3
845 -6 localization 8 c3
846 -5 FALSE 42 c3
847 -5 Gerrit 47 c3
848 -5 TRUE 41 c3
849 -5 localization 9 c3
850 -4 FALSE 27 c3
851 -4 Gerrit 38 c3
852 -4 TRUE 35 c3
853 -4 localization 8 c3
854 -3 FALSE 38 c3
855 -3 Gerrit 49 c3
856 -3 TRUE 21 c3
857 -3 localization 8 c3
858 -2 FALSE 25 c3
859 -2 Gerrit 35 c3
860 -2 TRUE 31 c3
861 -2 localization 5 c3
862 -1 FALSE 47 c3
863 -1 Gerrit 46 c3
864 -1 TRUE 32 c3
865 -1 localization 8 c3
866 0 FALSE 27 c3
867 0 Gerrit 40 c3
868 0 TRUE 34 c3
869 0 localization 8 c3
870 1 FALSE 41 c3
871 1 Gerrit 61 c3
872 1 TRUE 35 c3
873 1 localization 9 c3
874 2 FALSE 46 c3
875 2 Gerrit 55 c3
876 2 TRUE 28 c3
877 2 localization 10 c3
878 3 FALSE 61 c3
879 3 Gerrit 59 c3
880 3 TRUE 24 c3
881 3 localization 6 c3
882 4 FALSE 47 c3
883 4 Gerrit 42 c3
884 4 TRUE 39 c3
885 4 localization 6 c3
886 5 FALSE 43 c3
887 5 Gerrit 35 c3
888 5 TRUE 30 c3
889 5 localization 7 c3
890 6 FALSE 31 c3
891 6 Gerrit 62 c3
892 6 TRUE 41 c3
893 6 localization 6 c3
894 7 FALSE 42 c3
895 7 Gerrit 49 c3
896 7 TRUE 44 c3
897 7 localization 9 c3
898 8 FALSE 35 c3
899 8 Gerrit 58 c3
900 8 TRUE 45 c3
901 8 localization 9 c3
902 9 FALSE 40 c3
903 9 Gerrit 68 c3
904 9 TRUE 42 c3
905 9 localization 7 c3
906 10 FALSE 46 c3
907 10 Gerrit 45 c3
908 10 TRUE 30 c3
909 10 localization 7 c3
910 11 FALSE 54 c3
911 11 Gerrit 80 c3
912 11 TRUE 53 c3
913 11 localization 7 c3
914 12 FALSE 142 c3
915 12 Gerrit 189 c3
916 12 TRUE 98 c3
917 12 localization 8 c3
918 13 FALSE 56 c3
919 13 Gerrit 76 c3
920 13 TRUE 76 c3
921 13 localization 9 c3

518
121325_work/aggregate_dfs/121325_puppet_weekly.csv Normal file
View File

@ -0,0 +1,518 @@
"week_index","isAuthorWMF","count","source"
-33,"FALSE",4,"c1"
-33,"TRUE",106,"c1"
-32,"FALSE",14,"c1"
-32,"TRUE",90,"c1"
-31,"FALSE",6,"c1"
-31,"TRUE",188,"c1"
-30,"FALSE",11,"c1"
-30,"TRUE",208,"c1"
-29,"FALSE",13,"c1"
-29,"TRUE",133,"c1"
-28,"FALSE",16,"c1"
-28,"TRUE",55,"c1"
-27,"FALSE",13,"c1"
-27,"TRUE",39,"c1"
-26,"FALSE",6,"c1"
-26,"TRUE",93,"c1"
-25,"FALSE",22,"c1"
-25,"TRUE",207,"c1"
-24,"FALSE",9,"c1"
-24,"TRUE",193,"c1"
-23,"FALSE",17,"c1"
-23,"TRUE",149,"c1"
-22,"FALSE",21,"c1"
-22,"TRUE",148,"c1"
-21,"FALSE",27,"c1"
-21,"TRUE",79,"c1"
-20,"FALSE",25,"c1"
-20,"TRUE",157,"c1"
-19,"FALSE",18,"c1"
-19,"TRUE",85,"c1"
-18,"FALSE",8,"c1"
-18,"TRUE",136,"c1"
-17,"FALSE",23,"c1"
-17,"TRUE",127,"c1"
-16,"FALSE",22,"c1"
-16,"TRUE",128,"c1"
-15,"FALSE",33,"c1"
-15,"TRUE",187,"c1"
-14,"FALSE",9,"c1"
-14,"TRUE",165,"c1"
-13,"FALSE",11,"c1"
-13,"TRUE",139,"c1"
-12,"FALSE",17,"c1"
-12,"TRUE",94,"c1"
-11,"FALSE",33,"c1"
-11,"TRUE",177,"c1"
-10,"FALSE",11,"c1"
-10,"TRUE",146,"c1"
-9,"FALSE",9,"c1"
-9,"TRUE",138,"c1"
-8,"FALSE",48,"c1"
-8,"TRUE",88,"c1"
-7,"FALSE",30,"c1"
-7,"TRUE",109,"c1"
-6,"FALSE",12,"c1"
-6,"TRUE",116,"c1"
-5,"FALSE",15,"c1"
-5,"TRUE",104,"c1"
-4,"FALSE",25,"c1"
-4,"TRUE",117,"c1"
-3,"FALSE",20,"c1"
-3,"TRUE",116,"c1"
-2,"FALSE",20,"c1"
-2,"TRUE",52,"c1"
-1,"FALSE",31,"c1"
-1,"TRUE",110,"c1"
0,"FALSE",51,"c1"
0,"TRUE",109,"c1"
1,"FALSE",41,"c1"
1,"TRUE",115,"c1"
2,"FALSE",33,"c1"
2,"TRUE",129,"c1"
3,"FALSE",52,"c1"
3,"TRUE",153,"c1"
4,"FALSE",40,"c1"
4,"TRUE",129,"c1"
5,"FALSE",5,"c1"
5,"TRUE",123,"c1"
6,"FALSE",8,"c1"
6,"TRUE",100,"c1"
7,"FALSE",14,"c1"
7,"TRUE",107,"c1"
8,"FALSE",32,"c1"
8,"TRUE",118,"c1"
9,"FALSE",27,"c1"
9,"TRUE",97,"c1"
10,"FALSE",20,"c1"
10,"TRUE",49,"c1"
11,"FALSE",26,"c1"
11,"TRUE",73,"c1"
12,"FALSE",21,"c1"
12,"TRUE",93,"c1"
13,"FALSE",32,"c1"
13,"TRUE",92,"c1"
-103,"TRUE",12,"c2"
-102,"TRUE",92,"c2"
-101,"TRUE",173,"c2"
-100,"TRUE",68,"c2"
-99,"TRUE",101,"c2"
-98,"FALSE",2,"c2"
-98,"TRUE",149,"c2"
-97,"FALSE",5,"c2"
-97,"TRUE",69,"c2"
-96,"FALSE",6,"c2"
-96,"TRUE",124,"c2"
-95,"FALSE",1,"c2"
-95,"TRUE",169,"c2"
-94,"FALSE",4,"c2"
-94,"TRUE",193,"c2"
-93,"FALSE",4,"c2"
-93,"TRUE",128,"c2"
-92,"FALSE",1,"c2"
-92,"TRUE",224,"c2"
-91,"FALSE",20,"c2"
-91,"TRUE",148,"c2"
-90,"FALSE",6,"c2"
-90,"TRUE",179,"c2"
-89,"FALSE",36,"c2"
-89,"TRUE",163,"c2"
-88,"FALSE",13,"c2"
-88,"TRUE",86,"c2"
-87,"FALSE",3,"c2"
-87,"TRUE",59,"c2"
-86,"FALSE",2,"c2"
-86,"TRUE",60,"c2"
-85,"FALSE",6,"c2"
-85,"TRUE",132,"c2"
-84,"FALSE",7,"c2"
-84,"TRUE",125,"c2"
-83,"FALSE",1,"c2"
-83,"TRUE",93,"c2"
-82,"FALSE",5,"c2"
-82,"TRUE",218,"c2"
-81,"FALSE",2,"c2"
-81,"TRUE",246,"c2"
-80,"FALSE",3,"c2"
-80,"TRUE",101,"c2"
-79,"FALSE",7,"c2"
-79,"TRUE",164,"c2"
-78,"FALSE",1,"c2"
-78,"TRUE",66,"c2"
-77,"FALSE",2,"c2"
-77,"TRUE",212,"c2"
-76,"FALSE",3,"c2"
-76,"TRUE",183,"c2"
-75,"FALSE",12,"c2"
-75,"TRUE",75,"c2"
-74,"FALSE",6,"c2"
-74,"TRUE",108,"c2"
-73,"FALSE",3,"c2"
-73,"TRUE",171,"c2"
-72,"FALSE",4,"c2"
-72,"TRUE",166,"c2"
-71,"FALSE",3,"c2"
-71,"TRUE",119,"c2"
-70,"FALSE",3,"c2"
-70,"TRUE",129,"c2"
-69,"FALSE",9,"c2"
-69,"TRUE",147,"c2"
-68,"FALSE",11,"c2"
-68,"TRUE",112,"c2"
-67,"FALSE",6,"c2"
-67,"TRUE",97,"c2"
-66,"FALSE",10,"c2"
-66,"TRUE",94,"c2"
-65,"FALSE",7,"c2"
-65,"TRUE",252,"c2"
-64,"FALSE",2,"c2"
-64,"TRUE",93,"c2"
-63,"FALSE",12,"c2"
-63,"TRUE",163,"c2"
-62,"FALSE",5,"c2"
-62,"TRUE",161,"c2"
-61,"FALSE",9,"c2"
-61,"TRUE",128,"c2"
-60,"FALSE",2,"c2"
-60,"TRUE",96,"c2"
-59,"FALSE",3,"c2"
-59,"TRUE",117,"c2"
-58,"FALSE",8,"c2"
-58,"TRUE",112,"c2"
-57,"FALSE",7,"c2"
-57,"TRUE",81,"c2"
-56,"FALSE",11,"c2"
-56,"TRUE",77,"c2"
-55,"FALSE",3,"c2"
-55,"TRUE",91,"c2"
-54,"FALSE",2,"c2"
-54,"TRUE",160,"c2"
-53,"FALSE",8,"c2"
-53,"TRUE",95,"c2"
-52,"FALSE",7,"c2"
-52,"TRUE",76,"c2"
-51,"FALSE",3,"c2"
-51,"TRUE",66,"c2"
-50,"FALSE",3,"c2"
-50,"TRUE",79,"c2"
-49,"FALSE",3,"c2"
-49,"TRUE",119,"c2"
-48,"FALSE",1,"c2"
-48,"TRUE",87,"c2"
-47,"FALSE",9,"c2"
-47,"TRUE",41,"c2"
-46,"FALSE",12,"c2"
-46,"TRUE",73,"c2"
-45,"FALSE",6,"c2"
-45,"TRUE",82,"c2"
-44,"FALSE",4,"c2"
-44,"TRUE",125,"c2"
-43,"FALSE",11,"c2"
-43,"TRUE",138,"c2"
-42,"FALSE",3,"c2"
-42,"TRUE",84,"c2"
-41,"FALSE",12,"c2"
-41,"TRUE",129,"c2"
-40,"FALSE",8,"c2"
-40,"TRUE",90,"c2"
-39,"FALSE",5,"c2"
-39,"TRUE",220,"c2"
-38,"FALSE",13,"c2"
-38,"TRUE",196,"c2"
-37,"FALSE",16,"c2"
-37,"TRUE",93,"c2"
-36,"FALSE",11,"c2"
-36,"TRUE",30,"c2"
-35,"FALSE",12,"c2"
-35,"TRUE",46,"c2"
-34,"FALSE",16,"c2"
-34,"TRUE",141,"c2"
-33,"FALSE",17,"c2"
-33,"TRUE",233,"c2"
-32,"FALSE",11,"c2"
-32,"TRUE",175,"c2"
-31,"FALSE",13,"c2"
-31,"TRUE",146,"c2"
-30,"FALSE",24,"c2"
-30,"TRUE",105,"c2"
-29,"FALSE",30,"c2"
-29,"TRUE",102,"c2"
-28,"FALSE",28,"c2"
-28,"TRUE",132,"c2"
-27,"FALSE",13,"c2"
-27,"TRUE",140,"c2"
-26,"FALSE",6,"c2"
-26,"TRUE",89,"c2"
-25,"FALSE",24,"c2"
-25,"TRUE",137,"c2"
-24,"FALSE",35,"c2"
-24,"TRUE",166,"c2"
-23,"FALSE",18,"c2"
-23,"TRUE",207,"c2"
-22,"FALSE",8,"c2"
-22,"TRUE",133,"c2"
-21,"FALSE",15,"c2"
-21,"TRUE",106,"c2"
-20,"FALSE",18,"c2"
-20,"TRUE",128,"c2"
-19,"FALSE",29,"c2"
-19,"TRUE",178,"c2"
-18,"FALSE",13,"c2"
-18,"TRUE",123,"c2"
-17,"FALSE",6,"c2"
-17,"TRUE",128,"c2"
-16,"FALSE",61,"c2"
-16,"TRUE",119,"c2"
-15,"FALSE",16,"c2"
-15,"TRUE",69,"c2"
-14,"FALSE",14,"c2"
-14,"TRUE",140,"c2"
-13,"FALSE",18,"c2"
-13,"TRUE",88,"c2"
-12,"FALSE",33,"c2"
-12,"TRUE",132,"c2"
-11,"FALSE",10,"c2"
-11,"TRUE",98,"c2"
-10,"FALSE",28,"c2"
-10,"TRUE",78,"c2"
-9,"FALSE",26,"c2"
-9,"TRUE",101,"c2"
-8,"FALSE",55,"c2"
-8,"TRUE",89,"c2"
-7,"FALSE",41,"c2"
-7,"TRUE",132,"c2"
-6,"FALSE",47,"c2"
-6,"TRUE",164,"c2"
-5,"FALSE",34,"c2"
-5,"TRUE",112,"c2"
-4,"FALSE",34,"c2"
-4,"TRUE",136,"c2"
-3,"FALSE",6,"c2"
-3,"TRUE",105,"c2"
-2,"FALSE",6,"c2"
-2,"TRUE",128,"c2"
-1,"FALSE",27,"c2"
-1,"TRUE",117,"c2"
0,"FALSE",26,"c2"
0,"TRUE",83,"c2"
1,"FALSE",25,"c2"
1,"TRUE",97,"c2"
2,"FALSE",30,"c2"
2,"TRUE",50,"c2"
3,"FALSE",15,"c2"
3,"TRUE",68,"c2"
4,"FALSE",37,"c2"
4,"TRUE",108,"c2"
5,"FALSE",11,"c2"
5,"TRUE",86,"c2"
6,"FALSE",17,"c2"
6,"TRUE",96,"c2"
7,"FALSE",23,"c2"
7,"TRUE",109,"c2"
8,"FALSE",16,"c2"
8,"TRUE",109,"c2"
9,"FALSE",10,"c2"
9,"TRUE",136,"c2"
10,"FALSE",37,"c2"
10,"TRUE",94,"c2"
11,"FALSE",23,"c2"
11,"TRUE",114,"c2"
12,"FALSE",37,"c2"
12,"TRUE",121,"c2"
13,"FALSE",13,"c2"
13,"TRUE",57,"c2"
-83,"FALSE",14,"c3"
-83,"TRUE",55,"c3"
-82,"FALSE",29,"c3"
-82,"TRUE",105,"c3"
-81,"FALSE",36,"c3"
-81,"TRUE",167,"c3"
-80,"FALSE",16,"c3"
-80,"TRUE",71,"c3"
-79,"FALSE",24,"c3"
-79,"TRUE",40,"c3"
-78,"FALSE",37,"c3"
-78,"TRUE",123,"c3"
-77,"FALSE",25,"c3"
-77,"TRUE",97,"c3"
-76,"FALSE",47,"c3"
-76,"TRUE",89,"c3"
-75,"FALSE",38,"c3"
-75,"TRUE",127,"c3"
-74,"FALSE",44,"c3"
-74,"TRUE",111,"c3"
-73,"FALSE",38,"c3"
-73,"TRUE",109,"c3"
-72,"FALSE",31,"c3"
-72,"TRUE",107,"c3"
-71,"FALSE",48,"c3"
-71,"TRUE",100,"c3"
-70,"FALSE",40,"c3"
-70,"TRUE",87,"c3"
-69,"FALSE",54,"c3"
-69,"TRUE",120,"c3"
-68,"FALSE",53,"c3"
-68,"TRUE",151,"c3"
-67,"FALSE",60,"c3"
-67,"TRUE",92,"c3"
-66,"FALSE",76,"c3"
-66,"TRUE",101,"c3"
-65,"FALSE",53,"c3"
-65,"TRUE",98,"c3"
-64,"FALSE",56,"c3"
-64,"TRUE",108,"c3"
-63,"FALSE",40,"c3"
-63,"TRUE",101,"c3"
-62,"FALSE",39,"c3"
-62,"TRUE",154,"c3"
-61,"FALSE",10,"c3"
-61,"TRUE",107,"c3"
-60,"FALSE",43,"c3"
-60,"TRUE",94,"c3"
-59,"FALSE",15,"c3"
-59,"TRUE",174,"c3"
-58,"FALSE",20,"c3"
-58,"TRUE",117,"c3"
-57,"FALSE",27,"c3"
-57,"TRUE",243,"c3"
-56,"FALSE",50,"c3"
-56,"TRUE",171,"c3"
-55,"FALSE",38,"c3"
-55,"TRUE",125,"c3"
-54,"FALSE",32,"c3"
-54,"TRUE",136,"c3"
-53,"FALSE",58,"c3"
-53,"TRUE",144,"c3"
-52,"FALSE",43,"c3"
-52,"TRUE",140,"c3"
-51,"FALSE",53,"c3"
-51,"TRUE",131,"c3"
-50,"FALSE",51,"c3"
-50,"TRUE",249,"c3"
-49,"FALSE",46,"c3"
-49,"TRUE",124,"c3"
-48,"FALSE",26,"c3"
-48,"TRUE",109,"c3"
-47,"FALSE",25,"c3"
-47,"TRUE",158,"c3"
-46,"FALSE",48,"c3"
-46,"TRUE",141,"c3"
-45,"FALSE",42,"c3"
-45,"TRUE",151,"c3"
-44,"FALSE",34,"c3"
-44,"TRUE",135,"c3"
-43,"FALSE",21,"c3"
-43,"TRUE",143,"c3"
-42,"FALSE",44,"c3"
-42,"TRUE",207,"c3"
-41,"FALSE",26,"c3"
-41,"TRUE",146,"c3"
-40,"FALSE",89,"c3"
-40,"TRUE",269,"c3"
-39,"FALSE",47,"c3"
-39,"TRUE",183,"c3"
-38,"FALSE",34,"c3"
-38,"TRUE",133,"c3"
-37,"FALSE",63,"c3"
-37,"TRUE",166,"c3"
-36,"FALSE",44,"c3"
-36,"TRUE",150,"c3"
-35,"FALSE",47,"c3"
-35,"TRUE",150,"c3"
-34,"FALSE",45,"c3"
-34,"TRUE",96,"c3"
-33,"FALSE",28,"c3"
-33,"TRUE",143,"c3"
-32,"FALSE",50,"c3"
-32,"TRUE",134,"c3"
-31,"FALSE",25,"c3"
-31,"TRUE",49,"c3"
-30,"FALSE",41,"c3"
-30,"TRUE",175,"c3"
-29,"FALSE",32,"c3"
-29,"TRUE",188,"c3"
-28,"FALSE",26,"c3"
-28,"TRUE",95,"c3"
-27,"FALSE",17,"c3"
-27,"TRUE",21,"c3"
-26,"FALSE",24,"c3"
-26,"TRUE",61,"c3"
-25,"FALSE",55,"c3"
-25,"TRUE",193,"c3"
-24,"FALSE",39,"c3"
-24,"TRUE",88,"c3"
-23,"FALSE",58,"c3"
-23,"TRUE",74,"c3"
-22,"FALSE",56,"c3"
-22,"TRUE",128,"c3"
-21,"FALSE",38,"c3"
-21,"TRUE",166,"c3"
-20,"FALSE",46,"c3"
-20,"TRUE",153,"c3"
-19,"FALSE",28,"c3"
-19,"TRUE",120,"c3"
-18,"FALSE",42,"c3"
-18,"TRUE",158,"c3"
-17,"FALSE",73,"c3"
-17,"TRUE",247,"c3"
-16,"FALSE",51,"c3"
-16,"TRUE",217,"c3"
-15,"FALSE",48,"c3"
-15,"TRUE",157,"c3"
-14,"FALSE",50,"c3"
-14,"TRUE",150,"c3"
-13,"FALSE",58,"c3"
-13,"TRUE",116,"c3"
-12,"FALSE",46,"c3"
-12,"TRUE",187,"c3"
-11,"FALSE",74,"c3"
-11,"TRUE",159,"c3"
-10,"FALSE",78,"c3"
-10,"TRUE",142,"c3"
-9,"FALSE",63,"c3"
-9,"TRUE",149,"c3"
-8,"FALSE",35,"c3"
-8,"TRUE",101,"c3"
-7,"FALSE",38,"c3"
-7,"TRUE",157,"c3"
-6,"FALSE",34,"c3"
-6,"TRUE",77,"c3"
-5,"FALSE",56,"c3"
-5,"TRUE",201,"c3"
-4,"FALSE",55,"c3"
-4,"TRUE",143,"c3"
-3,"FALSE",36,"c3"
-3,"TRUE",168,"c3"
-2,"FALSE",58,"c3"
-2,"TRUE",140,"c3"
-1,"FALSE",64,"c3"
-1,"TRUE",164,"c3"
0,"FALSE",56,"c3"
0,"TRUE",124,"c3"
1,"FALSE",39,"c3"
1,"TRUE",130,"c3"
2,"FALSE",48,"c3"
2,"TRUE",139,"c3"
3,"FALSE",67,"c3"
3,"TRUE",95,"c3"
4,"FALSE",54,"c3"
4,"TRUE",144,"c3"
5,"FALSE",64,"c3"
5,"TRUE",136,"c3"
6,"FALSE",23,"c3"
6,"TRUE",115,"c3"
7,"FALSE",30,"c3"
7,"TRUE",160,"c3"
8,"FALSE",63,"c3"
8,"TRUE",138,"c3"
9,"FALSE",70,"c3"
9,"TRUE",104,"c3"
10,"FALSE",79,"c3"
10,"TRUE",150,"c3"
11,"FALSE",63,"c3"
11,"TRUE",145,"c3"
12,"FALSE",68,"c3"
12,"TRUE",105,"c3"
13,"FALSE",45,"c3"
13,"TRUE",171,"c3"
1 week_index isAuthorWMF count source
2 -33 FALSE 4 c1
3 -33 TRUE 106 c1
4 -32 FALSE 14 c1
5 -32 TRUE 90 c1
6 -31 FALSE 6 c1
7 -31 TRUE 188 c1
8 -30 FALSE 11 c1
9 -30 TRUE 208 c1
10 -29 FALSE 13 c1
11 -29 TRUE 133 c1
12 -28 FALSE 16 c1
13 -28 TRUE 55 c1
14 -27 FALSE 13 c1
15 -27 TRUE 39 c1
16 -26 FALSE 6 c1
17 -26 TRUE 93 c1
18 -25 FALSE 22 c1
19 -25 TRUE 207 c1
20 -24 FALSE 9 c1
21 -24 TRUE 193 c1
22 -23 FALSE 17 c1
23 -23 TRUE 149 c1
24 -22 FALSE 21 c1
25 -22 TRUE 148 c1
26 -21 FALSE 27 c1
27 -21 TRUE 79 c1
28 -20 FALSE 25 c1
29 -20 TRUE 157 c1
30 -19 FALSE 18 c1
31 -19 TRUE 85 c1
32 -18 FALSE 8 c1
33 -18 TRUE 136 c1
34 -17 FALSE 23 c1
35 -17 TRUE 127 c1
36 -16 FALSE 22 c1
37 -16 TRUE 128 c1
38 -15 FALSE 33 c1
39 -15 TRUE 187 c1
40 -14 FALSE 9 c1
41 -14 TRUE 165 c1
42 -13 FALSE 11 c1
43 -13 TRUE 139 c1
44 -12 FALSE 17 c1
45 -12 TRUE 94 c1
46 -11 FALSE 33 c1
47 -11 TRUE 177 c1
48 -10 FALSE 11 c1
49 -10 TRUE 146 c1
50 -9 FALSE 9 c1
51 -9 TRUE 138 c1
52 -8 FALSE 48 c1
53 -8 TRUE 88 c1
54 -7 FALSE 30 c1
55 -7 TRUE 109 c1
56 -6 FALSE 12 c1
57 -6 TRUE 116 c1
58 -5 FALSE 15 c1
59 -5 TRUE 104 c1
60 -4 FALSE 25 c1
61 -4 TRUE 117 c1
62 -3 FALSE 20 c1
63 -3 TRUE 116 c1
64 -2 FALSE 20 c1
65 -2 TRUE 52 c1
66 -1 FALSE 31 c1
67 -1 TRUE 110 c1
68 0 FALSE 51 c1
69 0 TRUE 109 c1
70 1 FALSE 41 c1
71 1 TRUE 115 c1
72 2 FALSE 33 c1
73 2 TRUE 129 c1
74 3 FALSE 52 c1
75 3 TRUE 153 c1
76 4 FALSE 40 c1
77 4 TRUE 129 c1
78 5 FALSE 5 c1
79 5 TRUE 123 c1
80 6 FALSE 8 c1
81 6 TRUE 100 c1
82 7 FALSE 14 c1
83 7 TRUE 107 c1
84 8 FALSE 32 c1
85 8 TRUE 118 c1
86 9 FALSE 27 c1
87 9 TRUE 97 c1
88 10 FALSE 20 c1
89 10 TRUE 49 c1
90 11 FALSE 26 c1
91 11 TRUE 73 c1
92 12 FALSE 21 c1
93 12 TRUE 93 c1
94 13 FALSE 32 c1
95 13 TRUE 92 c1
96 -103 TRUE 12 c2
97 -102 TRUE 92 c2
98 -101 TRUE 173 c2
99 -100 TRUE 68 c2
100 -99 TRUE 101 c2
101 -98 FALSE 2 c2
102 -98 TRUE 149 c2
103 -97 FALSE 5 c2
104 -97 TRUE 69 c2
105 -96 FALSE 6 c2
106 -96 TRUE 124 c2
107 -95 FALSE 1 c2
108 -95 TRUE 169 c2
109 -94 FALSE 4 c2
110 -94 TRUE 193 c2
111 -93 FALSE 4 c2
112 -93 TRUE 128 c2
113 -92 FALSE 1 c2
114 -92 TRUE 224 c2
115 -91 FALSE 20 c2
116 -91 TRUE 148 c2
117 -90 FALSE 6 c2
118 -90 TRUE 179 c2
119 -89 FALSE 36 c2
120 -89 TRUE 163 c2
121 -88 FALSE 13 c2
122 -88 TRUE 86 c2
123 -87 FALSE 3 c2
124 -87 TRUE 59 c2
125 -86 FALSE 2 c2
126 -86 TRUE 60 c2
127 -85 FALSE 6 c2
128 -85 TRUE 132 c2
129 -84 FALSE 7 c2
130 -84 TRUE 125 c2
131 -83 FALSE 1 c2
132 -83 TRUE 93 c2
133 -82 FALSE 5 c2
134 -82 TRUE 218 c2
135 -81 FALSE 2 c2
136 -81 TRUE 246 c2
137 -80 FALSE 3 c2
138 -80 TRUE 101 c2
139 -79 FALSE 7 c2
140 -79 TRUE 164 c2
141 -78 FALSE 1 c2
142 -78 TRUE 66 c2
143 -77 FALSE 2 c2
144 -77 TRUE 212 c2
145 -76 FALSE 3 c2
146 -76 TRUE 183 c2
147 -75 FALSE 12 c2
148 -75 TRUE 75 c2
149 -74 FALSE 6 c2
150 -74 TRUE 108 c2
151 -73 FALSE 3 c2
152 -73 TRUE 171 c2
153 -72 FALSE 4 c2
154 -72 TRUE 166 c2
155 -71 FALSE 3 c2
156 -71 TRUE 119 c2
157 -70 FALSE 3 c2
158 -70 TRUE 129 c2
159 -69 FALSE 9 c2
160 -69 TRUE 147 c2
161 -68 FALSE 11 c2
162 -68 TRUE 112 c2
163 -67 FALSE 6 c2
164 -67 TRUE 97 c2
165 -66 FALSE 10 c2
166 -66 TRUE 94 c2
167 -65 FALSE 7 c2
168 -65 TRUE 252 c2
169 -64 FALSE 2 c2
170 -64 TRUE 93 c2
171 -63 FALSE 12 c2
172 -63 TRUE 163 c2
173 -62 FALSE 5 c2
174 -62 TRUE 161 c2
175 -61 FALSE 9 c2
176 -61 TRUE 128 c2
177 -60 FALSE 2 c2
178 -60 TRUE 96 c2
179 -59 FALSE 3 c2
180 -59 TRUE 117 c2
181 -58 FALSE 8 c2
182 -58 TRUE 112 c2
183 -57 FALSE 7 c2
184 -57 TRUE 81 c2
185 -56 FALSE 11 c2
186 -56 TRUE 77 c2
187 -55 FALSE 3 c2
188 -55 TRUE 91 c2
189 -54 FALSE 2 c2
190 -54 TRUE 160 c2
191 -53 FALSE 8 c2
192 -53 TRUE 95 c2
193 -52 FALSE 7 c2
194 -52 TRUE 76 c2
195 -51 FALSE 3 c2
196 -51 TRUE 66 c2
197 -50 FALSE 3 c2
198 -50 TRUE 79 c2
199 -49 FALSE 3 c2
200 -49 TRUE 119 c2
201 -48 FALSE 1 c2
202 -48 TRUE 87 c2
203 -47 FALSE 9 c2
204 -47 TRUE 41 c2
205 -46 FALSE 12 c2
206 -46 TRUE 73 c2
207 -45 FALSE 6 c2
208 -45 TRUE 82 c2
209 -44 FALSE 4 c2
210 -44 TRUE 125 c2
211 -43 FALSE 11 c2
212 -43 TRUE 138 c2
213 -42 FALSE 3 c2
214 -42 TRUE 84 c2
215 -41 FALSE 12 c2
216 -41 TRUE 129 c2
217 -40 FALSE 8 c2
218 -40 TRUE 90 c2
219 -39 FALSE 5 c2
220 -39 TRUE 220 c2
221 -38 FALSE 13 c2
222 -38 TRUE 196 c2
223 -37 FALSE 16 c2
224 -37 TRUE 93 c2
225 -36 FALSE 11 c2
226 -36 TRUE 30 c2
227 -35 FALSE 12 c2
228 -35 TRUE 46 c2
229 -34 FALSE 16 c2
230 -34 TRUE 141 c2
231 -33 FALSE 17 c2
232 -33 TRUE 233 c2
233 -32 FALSE 11 c2
234 -32 TRUE 175 c2
235 -31 FALSE 13 c2
236 -31 TRUE 146 c2
237 -30 FALSE 24 c2
238 -30 TRUE 105 c2
239 -29 FALSE 30 c2
240 -29 TRUE 102 c2
241 -28 FALSE 28 c2
242 -28 TRUE 132 c2
243 -27 FALSE 13 c2
244 -27 TRUE 140 c2
245 -26 FALSE 6 c2
246 -26 TRUE 89 c2
247 -25 FALSE 24 c2
248 -25 TRUE 137 c2
249 -24 FALSE 35 c2
250 -24 TRUE 166 c2
251 -23 FALSE 18 c2
252 -23 TRUE 207 c2
253 -22 FALSE 8 c2
254 -22 TRUE 133 c2
255 -21 FALSE 15 c2
256 -21 TRUE 106 c2
257 -20 FALSE 18 c2
258 -20 TRUE 128 c2
259 -19 FALSE 29 c2
260 -19 TRUE 178 c2
261 -18 FALSE 13 c2
262 -18 TRUE 123 c2
263 -17 FALSE 6 c2
264 -17 TRUE 128 c2
265 -16 FALSE 61 c2
266 -16 TRUE 119 c2
267 -15 FALSE 16 c2
268 -15 TRUE 69 c2
269 -14 FALSE 14 c2
270 -14 TRUE 140 c2
271 -13 FALSE 18 c2
272 -13 TRUE 88 c2
273 -12 FALSE 33 c2
274 -12 TRUE 132 c2
275 -11 FALSE 10 c2
276 -11 TRUE 98 c2
277 -10 FALSE 28 c2
278 -10 TRUE 78 c2
279 -9 FALSE 26 c2
280 -9 TRUE 101 c2
281 -8 FALSE 55 c2
282 -8 TRUE 89 c2
283 -7 FALSE 41 c2
284 -7 TRUE 132 c2
285 -6 FALSE 47 c2
286 -6 TRUE 164 c2
287 -5 FALSE 34 c2
288 -5 TRUE 112 c2
289 -4 FALSE 34 c2
290 -4 TRUE 136 c2
291 -3 FALSE 6 c2
292 -3 TRUE 105 c2
293 -2 FALSE 6 c2
294 -2 TRUE 128 c2
295 -1 FALSE 27 c2
296 -1 TRUE 117 c2
297 0 FALSE 26 c2
298 0 TRUE 83 c2
299 1 FALSE 25 c2
300 1 TRUE 97 c2
301 2 FALSE 30 c2
302 2 TRUE 50 c2
303 3 FALSE 15 c2
304 3 TRUE 68 c2
305 4 FALSE 37 c2
306 4 TRUE 108 c2
307 5 FALSE 11 c2
308 5 TRUE 86 c2
309 6 FALSE 17 c2
310 6 TRUE 96 c2
311 7 FALSE 23 c2
312 7 TRUE 109 c2
313 8 FALSE 16 c2
314 8 TRUE 109 c2
315 9 FALSE 10 c2
316 9 TRUE 136 c2
317 10 FALSE 37 c2
318 10 TRUE 94 c2
319 11 FALSE 23 c2
320 11 TRUE 114 c2
321 12 FALSE 37 c2
322 12 TRUE 121 c2
323 13 FALSE 13 c2
324 13 TRUE 57 c2
325 -83 FALSE 14 c3
326 -83 TRUE 55 c3
327 -82 FALSE 29 c3
328 -82 TRUE 105 c3
329 -81 FALSE 36 c3
330 -81 TRUE 167 c3
331 -80 FALSE 16 c3
332 -80 TRUE 71 c3
333 -79 FALSE 24 c3
334 -79 TRUE 40 c3
335 -78 FALSE 37 c3
336 -78 TRUE 123 c3
337 -77 FALSE 25 c3
338 -77 TRUE 97 c3
339 -76 FALSE 47 c3
340 -76 TRUE 89 c3
341 -75 FALSE 38 c3
342 -75 TRUE 127 c3
343 -74 FALSE 44 c3
344 -74 TRUE 111 c3
345 -73 FALSE 38 c3
346 -73 TRUE 109 c3
347 -72 FALSE 31 c3
348 -72 TRUE 107 c3
349 -71 FALSE 48 c3
350 -71 TRUE 100 c3
351 -70 FALSE 40 c3
352 -70 TRUE 87 c3
353 -69 FALSE 54 c3
354 -69 TRUE 120 c3
355 -68 FALSE 53 c3
356 -68 TRUE 151 c3
357 -67 FALSE 60 c3
358 -67 TRUE 92 c3
359 -66 FALSE 76 c3
360 -66 TRUE 101 c3
361 -65 FALSE 53 c3
362 -65 TRUE 98 c3
363 -64 FALSE 56 c3
364 -64 TRUE 108 c3
365 -63 FALSE 40 c3
366 -63 TRUE 101 c3
367 -62 FALSE 39 c3
368 -62 TRUE 154 c3
369 -61 FALSE 10 c3
370 -61 TRUE 107 c3
371 -60 FALSE 43 c3
372 -60 TRUE 94 c3
373 -59 FALSE 15 c3
374 -59 TRUE 174 c3
375 -58 FALSE 20 c3
376 -58 TRUE 117 c3
377 -57 FALSE 27 c3
378 -57 TRUE 243 c3
379 -56 FALSE 50 c3
380 -56 TRUE 171 c3
381 -55 FALSE 38 c3
382 -55 TRUE 125 c3
383 -54 FALSE 32 c3
384 -54 TRUE 136 c3
385 -53 FALSE 58 c3
386 -53 TRUE 144 c3
387 -52 FALSE 43 c3
388 -52 TRUE 140 c3
389 -51 FALSE 53 c3
390 -51 TRUE 131 c3
391 -50 FALSE 51 c3
392 -50 TRUE 249 c3
393 -49 FALSE 46 c3
394 -49 TRUE 124 c3
395 -48 FALSE 26 c3
396 -48 TRUE 109 c3
397 -47 FALSE 25 c3
398 -47 TRUE 158 c3
399 -46 FALSE 48 c3
400 -46 TRUE 141 c3
401 -45 FALSE 42 c3
402 -45 TRUE 151 c3
403 -44 FALSE 34 c3
404 -44 TRUE 135 c3
405 -43 FALSE 21 c3
406 -43 TRUE 143 c3
407 -42 FALSE 44 c3
408 -42 TRUE 207 c3
409 -41 FALSE 26 c3
410 -41 TRUE 146 c3
411 -40 FALSE 89 c3
412 -40 TRUE 269 c3
413 -39 FALSE 47 c3
414 -39 TRUE 183 c3
415 -38 FALSE 34 c3
416 -38 TRUE 133 c3
417 -37 FALSE 63 c3
418 -37 TRUE 166 c3
419 -36 FALSE 44 c3
420 -36 TRUE 150 c3
421 -35 FALSE 47 c3
422 -35 TRUE 150 c3
423 -34 FALSE 45 c3
424 -34 TRUE 96 c3
425 -33 FALSE 28 c3
426 -33 TRUE 143 c3
427 -32 FALSE 50 c3
428 -32 TRUE 134 c3
429 -31 FALSE 25 c3
430 -31 TRUE 49 c3
431 -30 FALSE 41 c3
432 -30 TRUE 175 c3
433 -29 FALSE 32 c3
434 -29 TRUE 188 c3
435 -28 FALSE 26 c3
436 -28 TRUE 95 c3
437 -27 FALSE 17 c3
438 -27 TRUE 21 c3
439 -26 FALSE 24 c3
440 -26 TRUE 61 c3
441 -25 FALSE 55 c3
442 -25 TRUE 193 c3
443 -24 FALSE 39 c3
444 -24 TRUE 88 c3
445 -23 FALSE 58 c3
446 -23 TRUE 74 c3
447 -22 FALSE 56 c3
448 -22 TRUE 128 c3
449 -21 FALSE 38 c3
450 -21 TRUE 166 c3
451 -20 FALSE 46 c3
452 -20 TRUE 153 c3
453 -19 FALSE 28 c3
454 -19 TRUE 120 c3
455 -18 FALSE 42 c3
456 -18 TRUE 158 c3
457 -17 FALSE 73 c3
458 -17 TRUE 247 c3
459 -16 FALSE 51 c3
460 -16 TRUE 217 c3
461 -15 FALSE 48 c3
462 -15 TRUE 157 c3
463 -14 FALSE 50 c3
464 -14 TRUE 150 c3
465 -13 FALSE 58 c3
466 -13 TRUE 116 c3
467 -12 FALSE 46 c3
468 -12 TRUE 187 c3
469 -11 FALSE 74 c3
470 -11 TRUE 159 c3
471 -10 FALSE 78 c3
472 -10 TRUE 142 c3
473 -9 FALSE 63 c3
474 -9 TRUE 149 c3
475 -8 FALSE 35 c3
476 -8 TRUE 101 c3
477 -7 FALSE 38 c3
478 -7 TRUE 157 c3
479 -6 FALSE 34 c3
480 -6 TRUE 77 c3
481 -5 FALSE 56 c3
482 -5 TRUE 201 c3
483 -4 FALSE 55 c3
484 -4 TRUE 143 c3
485 -3 FALSE 36 c3
486 -3 TRUE 168 c3
487 -2 FALSE 58 c3
488 -2 TRUE 140 c3
489 -1 FALSE 64 c3
490 -1 TRUE 164 c3
491 0 FALSE 56 c3
492 0 TRUE 124 c3
493 1 FALSE 39 c3
494 1 TRUE 130 c3
495 2 FALSE 48 c3
496 2 TRUE 139 c3
497 3 FALSE 67 c3
498 3 TRUE 95 c3
499 4 FALSE 54 c3
500 4 TRUE 144 c3
501 5 FALSE 64 c3
502 5 TRUE 136 c3
503 6 FALSE 23 c3
504 6 TRUE 115 c3
505 7 FALSE 30 c3
506 7 TRUE 160 c3
507 8 FALSE 63 c3
508 8 TRUE 138 c3
509 9 FALSE 70 c3
510 9 TRUE 104 c3
511 10 FALSE 79 c3
512 10 TRUE 150 c3
513 11 FALSE 63 c3
514 11 TRUE 145 c3
515 12 FALSE 68 c3
516 12 TRUE 105 c3
517 13 FALSE 45 c3
518 13 TRUE 171 c3

177
121325_work/aggregate_dfs/121325_ve_weekly.csv Normal file
View File

@ -0,0 +1,177 @@
"week_index","isAuthorWMF","count","source"
-33,"FALSE",12,"c1"
-33,"TRUE",24,"c1"
-33,"localization",6,"c1"
-32,"FALSE",2,"c1"
-32,"TRUE",30,"c1"
-32,"localization",4,"c1"
-31,"FALSE",1,"c1"
-31,"TRUE",42,"c1"
-31,"localization",6,"c1"
-30,"FALSE",11,"c1"
-30,"Gerrit",18,"c1"
-30,"TRUE",55,"c1"
-30,"localization",6,"c1"
-29,"FALSE",1,"c1"
-29,"Gerrit",33,"c1"
-29,"TRUE",49,"c1"
-29,"localization",7,"c1"
-28,"FALSE",3,"c1"
-28,"Gerrit",2,"c1"
-28,"TRUE",1,"c1"
-28,"localization",6,"c1"
-27,"localization",6,"c1"
-26,"TRUE",1,"c1"
-26,"localization",3,"c1"
-25,"FALSE",1,"c1"
-25,"Gerrit",9,"c1"
-25,"TRUE",8,"c1"
-25,"localization",2,"c1"
-24,"FALSE",9,"c1"
-24,"Gerrit",12,"c1"
-24,"TRUE",15,"c1"
-24,"localization",3,"c1"
-23,"Gerrit",7,"c1"
-23,"TRUE",9,"c1"
-23,"localization",5,"c1"
-22,"Gerrit",11,"c1"
-22,"TRUE",16,"c1"
-22,"localization",4,"c1"
-21,"Gerrit",4,"c1"
-21,"TRUE",7,"c1"
-21,"localization",5,"c1"
-20,"FALSE",1,"c1"
-20,"Gerrit",7,"c1"
-20,"TRUE",5,"c1"
-20,"localization",8,"c1"
-19,"FALSE",5,"c1"
-19,"Gerrit",20,"c1"
-19,"TRUE",25,"c1"
-19,"localization",1,"c1"
-18,"FALSE",3,"c1"
-18,"Gerrit",12,"c1"
-18,"TRUE",8,"c1"
-18,"localization",3,"c1"
-17,"FALSE",5,"c1"
-17,"Gerrit",6,"c1"
-17,"TRUE",7,"c1"
-17,"localization",3,"c1"
-16,"Gerrit",25,"c1"
-16,"TRUE",30,"c1"
-16,"localization",4,"c1"
-15,"FALSE",7,"c1"
-15,"Gerrit",9,"c1"
-15,"TRUE",11,"c1"
-15,"localization",4,"c1"
-14,"FALSE",10,"c1"
-14,"Gerrit",17,"c1"
-14,"TRUE",19,"c1"
-14,"localization",4,"c1"
-13,"FALSE",2,"c1"
-13,"Gerrit",6,"c1"
-13,"TRUE",13,"c1"
-13,"localization",3,"c1"
-12,"FALSE",4,"c1"
-12,"Gerrit",23,"c1"
-12,"TRUE",30,"c1"
-12,"localization",4,"c1"
-11,"FALSE",9,"c1"
-11,"Gerrit",24,"c1"
-11,"TRUE",30,"c1"
-11,"localization",4,"c1"
-10,"FALSE",12,"c1"
-10,"Gerrit",35,"c1"
-10,"TRUE",32,"c1"
-10,"localization",5,"c1"
-9,"FALSE",8,"c1"
-9,"Gerrit",22,"c1"
-9,"TRUE",32,"c1"
-9,"localization",8,"c1"
-8,"FALSE",6,"c1"
-8,"Gerrit",31,"c1"
-8,"TRUE",34,"c1"
-8,"localization",7,"c1"
-7,"FALSE",21,"c1"
-7,"Gerrit",50,"c1"
-7,"TRUE",43,"c1"
-7,"localization",6,"c1"
-6,"FALSE",8,"c1"
-6,"Gerrit",34,"c1"
-6,"TRUE",37,"c1"
-6,"localization",5,"c1"
-5,"FALSE",4,"c1"
-5,"Gerrit",14,"c1"
-5,"TRUE",21,"c1"
-5,"localization",1,"c1"
-4,"FALSE",13,"c1"
-4,"Gerrit",35,"c1"
-4,"TRUE",38,"c1"
-4,"localization",3,"c1"
-3,"FALSE",10,"c1"
-3,"Gerrit",32,"c1"
-3,"TRUE",41,"c1"
-3,"localization",9,"c1"
-2,"FALSE",14,"c1"
-2,"Gerrit",58,"c1"
-2,"TRUE",71,"c1"
-2,"localization",7,"c1"
-1,"FALSE",19,"c1"
-1,"Gerrit",70,"c1"
-1,"TRUE",77,"c1"
-1,"localization",8,"c1"
0,"FALSE",9,"c1"
0,"Gerrit",38,"c1"
0,"TRUE",45,"c1"
0,"localization",8,"c1"
1,"FALSE",1,"c1"
1,"Gerrit",41,"c1"
1,"TRUE",49,"c1"
1,"localization",6,"c1"
2,"FALSE",3,"c1"
2,"Gerrit",30,"c1"
2,"TRUE",49,"c1"
2,"localization",8,"c1"
3,"FALSE",4,"c1"
3,"Gerrit",42,"c1"
3,"TRUE",48,"c1"
3,"localization",7,"c1"
4,"FALSE",3,"c1"
4,"Gerrit",39,"c1"
4,"TRUE",59,"c1"
4,"localization",10,"c1"
5,"FALSE",1,"c1"
5,"Gerrit",8,"c1"
5,"TRUE",14,"c1"
5,"localization",7,"c1"
6,"FALSE",1,"c1"
6,"Gerrit",12,"c1"
6,"TRUE",13,"c1"
6,"localization",9,"c1"
7,"FALSE",5,"c1"
7,"Gerrit",16,"c1"
7,"TRUE",16,"c1"
7,"localization",7,"c1"
8,"FALSE",7,"c1"
8,"Gerrit",27,"c1"
8,"TRUE",33,"c1"
8,"localization",3,"c1"
9,"FALSE",10,"c1"
9,"Gerrit",22,"c1"
9,"TRUE",22,"c1"
9,"localization",6,"c1"
10,"FALSE",5,"c1"
10,"Gerrit",9,"c1"
10,"TRUE",10,"c1"
10,"localization",7,"c1"
11,"FALSE",8,"c1"
11,"Gerrit",12,"c1"
11,"TRUE",17,"c1"
11,"localization",6,"c1"
12,"FALSE",3,"c1"
12,"Gerrit",28,"c1"
12,"TRUE",33,"c1"
12,"localization",2,"c1"
13,"FALSE",5,"c1"
13,"Gerrit",17,"c1"
13,"TRUE",28,"c1"
13,"localization",8,"c1"
1 week_index isAuthorWMF count source
2 -33 FALSE 12 c1
3 -33 TRUE 24 c1
4 -33 localization 6 c1
5 -32 FALSE 2 c1
6 -32 TRUE 30 c1
7 -32 localization 4 c1
8 -31 FALSE 1 c1
9 -31 TRUE 42 c1
10 -31 localization 6 c1
11 -30 FALSE 11 c1
12 -30 Gerrit 18 c1
13 -30 TRUE 55 c1
14 -30 localization 6 c1
15 -29 FALSE 1 c1
16 -29 Gerrit 33 c1
17 -29 TRUE 49 c1
18 -29 localization 7 c1
19 -28 FALSE 3 c1
20 -28 Gerrit 2 c1
21 -28 TRUE 1 c1
22 -28 localization 6 c1
23 -27 localization 6 c1
24 -26 TRUE 1 c1
25 -26 localization 3 c1
26 -25 FALSE 1 c1
27 -25 Gerrit 9 c1
28 -25 TRUE 8 c1
29 -25 localization 2 c1
30 -24 FALSE 9 c1
31 -24 Gerrit 12 c1
32 -24 TRUE 15 c1
33 -24 localization 3 c1
34 -23 Gerrit 7 c1
35 -23 TRUE 9 c1
36 -23 localization 5 c1
37 -22 Gerrit 11 c1
38 -22 TRUE 16 c1
39 -22 localization 4 c1
40 -21 Gerrit 4 c1
41 -21 TRUE 7 c1
42 -21 localization 5 c1
43 -20 FALSE 1 c1
44 -20 Gerrit 7 c1
45 -20 TRUE 5 c1
46 -20 localization 8 c1
47 -19 FALSE 5 c1
48 -19 Gerrit 20 c1
49 -19 TRUE 25 c1
50 -19 localization 1 c1
51 -18 FALSE 3 c1
52 -18 Gerrit 12 c1
53 -18 TRUE 8 c1
54 -18 localization 3 c1
55 -17 FALSE 5 c1
56 -17 Gerrit 6 c1
57 -17 TRUE 7 c1
58 -17 localization 3 c1
59 -16 Gerrit 25 c1
60 -16 TRUE 30 c1
61 -16 localization 4 c1
62 -15 FALSE 7 c1
63 -15 Gerrit 9 c1
64 -15 TRUE 11 c1
65 -15 localization 4 c1
66 -14 FALSE 10 c1
67 -14 Gerrit 17 c1
68 -14 TRUE 19 c1
69 -14 localization 4 c1
70 -13 FALSE 2 c1
71 -13 Gerrit 6 c1
72 -13 TRUE 13 c1
73 -13 localization 3 c1
74 -12 FALSE 4 c1
75 -12 Gerrit 23 c1
76 -12 TRUE 30 c1
77 -12 localization 4 c1
78 -11 FALSE 9 c1
79 -11 Gerrit 24 c1
80 -11 TRUE 30 c1
81 -11 localization 4 c1
82 -10 FALSE 12 c1
83 -10 Gerrit 35 c1
84 -10 TRUE 32 c1
85 -10 localization 5 c1
86 -9 FALSE 8 c1
87 -9 Gerrit 22 c1
88 -9 TRUE 32 c1
89 -9 localization 8 c1
90 -8 FALSE 6 c1
91 -8 Gerrit 31 c1
92 -8 TRUE 34 c1
93 -8 localization 7 c1
94 -7 FALSE 21 c1
95 -7 Gerrit 50 c1
96 -7 TRUE 43 c1
97 -7 localization 6 c1
98 -6 FALSE 8 c1
99 -6 Gerrit 34 c1
100 -6 TRUE 37 c1
101 -6 localization 5 c1
102 -5 FALSE 4 c1
103 -5 Gerrit 14 c1
104 -5 TRUE 21 c1
105 -5 localization 1 c1
106 -4 FALSE 13 c1
107 -4 Gerrit 35 c1
108 -4 TRUE 38 c1
109 -4 localization 3 c1
110 -3 FALSE 10 c1
111 -3 Gerrit 32 c1
112 -3 TRUE 41 c1
113 -3 localization 9 c1
114 -2 FALSE 14 c1
115 -2 Gerrit 58 c1
116 -2 TRUE 71 c1
117 -2 localization 7 c1
118 -1 FALSE 19 c1
119 -1 Gerrit 70 c1
120 -1 TRUE 77 c1
121 -1 localization 8 c1
122 0 FALSE 9 c1
123 0 Gerrit 38 c1
124 0 TRUE 45 c1
125 0 localization 8 c1
126 1 FALSE 1 c1
127 1 Gerrit 41 c1
128 1 TRUE 49 c1
129 1 localization 6 c1
130 2 FALSE 3 c1
131 2 Gerrit 30 c1
132 2 TRUE 49 c1
133 2 localization 8 c1
134 3 FALSE 4 c1
135 3 Gerrit 42 c1
136 3 TRUE 48 c1
137 3 localization 7 c1
138 4 FALSE 3 c1
139 4 Gerrit 39 c1
140 4 TRUE 59 c1
141 4 localization 10 c1
142 5 FALSE 1 c1
143 5 Gerrit 8 c1
144 5 TRUE 14 c1
145 5 localization 7 c1
146 6 FALSE 1 c1
147 6 Gerrit 12 c1
148 6 TRUE 13 c1
149 6 localization 9 c1
150 7 FALSE 5 c1
151 7 Gerrit 16 c1
152 7 TRUE 16 c1
153 7 localization 7 c1
154 8 FALSE 7 c1
155 8 Gerrit 27 c1
156 8 TRUE 33 c1
157 8 localization 3 c1
158 9 FALSE 10 c1
159 9 Gerrit 22 c1
160 9 TRUE 22 c1
161 9 localization 6 c1
162 10 FALSE 5 c1
163 10 Gerrit 9 c1
164 10 TRUE 10 c1
165 10 localization 7 c1
166 11 FALSE 8 c1
167 11 Gerrit 12 c1
168 11 TRUE 17 c1
169 11 localization 6 c1
170 12 FALSE 3 c1
171 12 Gerrit 28 c1
172 12 TRUE 33 c1
173 12 localization 2 c1
174 13 FALSE 5 c1
175 13 Gerrit 17 c1
176 13 TRUE 28 c1
177 13 localization 8 c1

144
121325_work/count_aggregation.R Normal file
View File

@ -0,0 +1,144 @@
library(tidyverse)
library(dplyr)
library(lubridate)
c1_event_date <- as.Date("2013-07-01")
c2_event_date <- as.Date("2013-08-28")
c3_event_date <- as.Date("2015-07-02")
relative_week <- function(date, ref_date) {
as.integer(as.numeric(difftime(date, ref_date, units = "days")) %/% 7)
}
known_affil_emails <- c("krinkle@fastmail.com", "roan.kattouw@gmail.com",
"trevorparscal@gmail.com", "krinklemail@gmail.com", "moriel@gmail.com")
#get count data for the repositories
#core
core_csv <-"~/121325_work/121225_vd_data/core_2010-01-01_to_2024-12-31.csv"
core_df <- read.csv(core_csv, header = TRUE)
core_df <- core_df |>
mutate(commit_date = ymd_hms(commit_date)) |>
mutate(isAuthorWMF = case_when(
(author_email %in% known_affil_emails) ~ "TRUE",
grepl("l10n-bot@translatewiki\\.net", author_email, ignore.case = TRUE) ~ "localization",
grepl("@wikimedia\\.org", author_email, ignore.case = TRUE) ~ "TRUE",
grepl("@wikimedia\\.de", author_email, ignore.case = TRUE) ~ "TRUE",
grepl("@gerrit\\.wikimedia\\.org", author_email, ignore.case = TRUE) ~ "Gerrit",
TRUE ~ "FALSE"
))
c1_core_weekly <- core_df |>
mutate(week_index = relative_week(commit_date, c1_event_date)) |>
group_by(week_index, isAuthorWMF)|>
summarise(count = n(), .groups = 'drop')|>
filter(week_index >= -33 & week_index <= 13) |>
mutate(source = 'c1')
c2_core_weekly <- core_df |>
mutate(week_index = relative_week(commit_date, c2_event_date)) |>
group_by(week_index, isAuthorWMF)|>
summarise(count = n(), .groups = 'drop')|>
filter(week_index >= -104 & week_index <= 13) |>
mutate(source = 'c2')
c3_core_weekly <- core_df |>
mutate(week_index = relative_week(commit_date, c3_event_date)) |>
group_by(week_index, isAuthorWMF)|>
summarise(count = n(), .groups = 'drop')|>
filter(week_index >= -83 & week_index <= 13) |>
mutate(source = 'c3')
#collate and save
core_weekly <- rbind(c1_core_weekly, c2_core_weekly, c3_core_weekly)
write.csv(core_weekly, "~/121325_work/aggregate_dfs/121325_core_weekly.csv", row.names = FALSE)
#operations
wmfconfig_csv <-"~/121325_work/121225_vd_data/mediawiki-config_2010-01-01_to_2024-12-31.csv"
wmfconfig_df <- read.csv(wmfconfig_csv, header = TRUE)
wmfconfig_df <- wmfconfig_df |>
mutate(commit_date = ymd_hms(commit_date)) |>
mutate(isAuthorWMF = case_when(
(author_email %in% known_affil_emails) ~ "TRUE",
grepl("l10n-bot@translatewiki\\.net", author_email, ignore.case = TRUE) ~ "localization",
grepl("@wikimedia\\.org", author_email, ignore.case = TRUE) ~ "TRUE",
grepl("@wikimedia\\.de", author_email, ignore.case = TRUE) ~ "TRUE",
grepl("@gerrit\\.wikimedia\\.org", author_email, ignore.case = TRUE) ~ "Gerrit",
TRUE ~ "FALSE"
))
c1_config_weekly <- wmfconfig_df |>
mutate(week_index = relative_week(commit_date, c1_event_date)) |>
group_by(week_index, isAuthorWMF)|>
summarise(count = n(), .groups = 'drop')|>
filter(week_index >= -33 & week_index <= 13) |>
mutate(source = 'c1')
c2_config_weekly <- wmfconfig_df |>
mutate(week_index = relative_week(commit_date, c2_event_date)) |>
group_by(week_index, isAuthorWMF)|>
summarise(count = n(), .groups = 'drop')|>
filter(week_index >= -104 & week_index <= 13) |>
mutate(source = 'c2')
c3_config_weekly <- wmfconfig_df |>
mutate(week_index = relative_week(commit_date, c3_event_date)) |>
group_by(week_index, isAuthorWMF)|>
summarise(count = n(), .groups = 'drop')|>
filter(week_index >= -83 & week_index <= 13) |>
mutate(source = 'c3')
#collate and save
config_weekly <- rbind(c1_config_weekly, c2_config_weekly, c3_config_weekly)
write.csv(config_weekly, "~/121325_work/aggregate_dfs/121325_config_weekly.csv", row.names = FALSE)
#puppet
puppet_csv <-"~/121325_work/121225_vd_data/puppet_2000-01-01_to_2016-12-31.csv"
puppet_df <- read.csv(puppet_csv, header = TRUE)
puppet_df <- puppet_df |>
mutate(commit_date = ymd_hms(commit_date)) |>
mutate(isAuthorWMF = case_when(
(author_email %in% known_affil_emails) ~ "TRUE",
grepl("l10n-bot@translatewiki\\.net", author_email, ignore.case = TRUE) ~ "localization",
grepl("@wikimedia\\.org", author_email, ignore.case = TRUE) ~ "TRUE",
grepl("@wikimedia\\.de", author_email, ignore.case = TRUE) ~ "TRUE",
grepl("@gerrit\\.wikimedia\\.org", author_email, ignore.case = TRUE) ~ "Gerrit",
TRUE ~ "FALSE"
))
c1_puppet_weekly <- puppet_df |>
mutate(week_index = relative_week(commit_date, c1_event_date)) |>
group_by(week_index, isAuthorWMF)|>
summarise(count = n(), .groups = 'drop')|>
filter(week_index >= -33 & week_index <= 13) |>
mutate(source = 'c1')
c2_puppet_weekly <- puppet_df |>
mutate(week_index = relative_week(commit_date, c2_event_date)) |>
group_by(week_index, isAuthorWMF)|>
summarise(count = n(), .groups = 'drop')|>
filter(week_index >= -104 & week_index <= 13) |>
mutate(source = 'c2')
c3_puppet_weekly <- puppet_df |>
mutate(week_index = relative_week(commit_date, c3_event_date)) |>
group_by(week_index, isAuthorWMF)|>
summarise(count = n(), .groups = 'drop')|>
filter(week_index >= -83 & week_index <= 13) |>
mutate(source = 'c3')
puppet_weekly <- rbind(c1_puppet_weekly, c2_puppet_weekly, c3_puppet_weekly)
write.csv(puppet_weekly, "~/121325_work/aggregate_dfs/121325_puppet_weekly.csv", row.names = FALSE)
#extension_ve
ve_csv <-"~/121325_work/121225_vd_data/extension_VisualEditor_2000-01-01_to_2016-12-31.csv"
ve_df <- read.csv(ve_csv, header = TRUE)
ve_df <- ve_df |>
mutate(commit_date = ymd_hms(commit_date)) |>
mutate(isAuthorWMF = case_when(
(author_email %in% known_affil_emails) ~ "TRUE",
grepl("l10n-bot@translatewiki\\.net", author_email, ignore.case = TRUE) ~ "localization",
grepl("@wikimedia\\.org", author_email, ignore.case = TRUE) ~ "TRUE",
grepl("@wikimedia\\.de", author_email, ignore.case = TRUE) ~ "TRUE",
grepl("@gerrit\\.wikimedia\\.org", author_email, ignore.case = TRUE) ~ "Gerrit",
TRUE ~ "FALSE"
))
c1_ve_weekly <- ve_df |>
mutate(week_index = relative_week(commit_date, c1_event_date)) |>
group_by(week_index, isAuthorWMF)|>
summarise(count = n(), .groups = 'drop')|>
filter(week_index >= -33 & week_index <= 13) |>
mutate(source = 'c1')
write.csv(c1_ve_weekly, "~/121325_work/aggregate_dfs/121325_ve_weekly.csv", row.names = FALSE)

126
121325_work/location_count_aggregation.R Normal file
View File

@ -0,0 +1,126 @@
library(tidyverse)
library(dplyr)
library(lubridate)
library(stringr)
c1_event_date <- as.Date("2013-07-01")
c2_event_date <- as.Date("2013-08-28")
c3_event_date <- as.Date("2015-07-02")
relative_week <- function(date, ref_date) {
as.integer(as.numeric(difftime(date, ref_date, units = "days")) %/% 7)
}
contains_http_but_not_url <- function(text) {
# Handle NA values explicitly
ifelse(
is.na(text),
FALSE,
str_detect(text, "http") &
!str_detect(text, "://") |
str_detect(text, "login") |
str_detect(text, "ssl") |
str_detect(text, "tls") |
(str_detect(text, "cert") & !str_detect(text, "certain"))
)
}
#get count data for the repositories
#core
core_csv <-"~/121325_work/121225_vd_data/core_2010-01-01_to_2024-12-31.csv"
core_df <- read.csv(core_csv, header = TRUE)
core_df <- core_df |>
mutate(commit_date = ymd_hms(commit_date)) |>
mutate(code_location = case_when(
grepl("login", diff_info, ignore.case = TRUE) ~ "login_in_location",
grepl("auth", diff_info, ignore.case = TRUE) ~ "auth_in_location",
grepl("security", diff_info, ignore.case = TRUE) ~ "security",
TRUE ~ "Other"
))|>
mutate(isAuthorWMF = case_when(
grepl("krinkle@fastmail\\.com", author_email, ignore.case = TRUE) ~ "TRUE",
grepl("@wikimedia\\.org", author_email, ignore.case = TRUE) ~ "TRUE",
grepl("@wikimedia\\.de", author_email, ignore.case = TRUE) ~ "TRUE",
grepl("@gerrit\\.wikimedia\\.org", author_email, ignore.case = TRUE) ~ "Gerrit",
TRUE ~ "FALSE"
))
c1_core_weekly <- core_df |>
mutate(week_index = relative_week(commit_date, c1_event_date)) |>
group_by(week_index, isAuthorWMF, code_location)|>
summarise(count = n(), .groups = 'drop')|>
filter(week_index >= -33 & week_index <= 13) |>
mutate(source = 'c1')
c2_core_weekly <- core_df |>
mutate(week_index = relative_week(commit_date, c2_event_date)) |>
group_by(week_index, isAuthorWMF, code_location)|>
summarise(count = n(), .groups = 'drop')|>
filter(week_index >= -104 & week_index <= 13) |>
mutate(source = 'c2')
c3_core_weekly <- core_df |>
mutate(week_index = relative_week(commit_date, c3_event_date)) |>
group_by(week_index, isAuthorWMF, code_location)|>
summarise(count = n(), .groups = 'drop')|>
filter(week_index >= -83 & week_index <= 13) |>
mutate(source = 'c3')
#collate and save
core_counts <- rbind(c1_core_weekly, c2_core_weekly, c3_core_weekly)
core_counts <- core_counts |>
filter(isAuthorWMF != "Gerrit") |>
filter(code_location != "Other")
core_commits_created <- ggplot(
core_counts,
aes(
x=week_index,
y=count,
)
) +
facet_grid(source ~ .,
scales = "free_y",
labeller = labeller(source = c("c1" = "VisualEditor",
"c2" = "HTTPS-login",
"c3" = "HTTP-deprecation"))) +
geom_col(position = position_dodge(width = 0.9), width = 0.8) +
geom_vline(data = core_counts |> filter(source == "c1"),
aes(xintercept = -29),
linetype = "dotted", color = "black", linewidth = 0.5) +
geom_vline(data = core_counts |> filter(source == "c1"),
aes(xintercept = -9),
linetype = "dotted", color = "black", linewidth = 0.5) +
geom_vline(data = core_counts |> filter(source == "c1"),
aes(xintercept = -4),
linetype = "3313", color = "black", linewidth = 0.5) +
geom_vline(data = core_counts |> filter(source == "c2"),
aes(xintercept = -99),
linetype = "dotted", color = "black", linewidth = 0.5) +
geom_vline(data = core_counts |> filter(source == "c2"),
aes(xintercept = -4),
linetype = "3313", color = "black", linewidth = 0.5) +
geom_vline(data = core_counts |> filter(source == "c3"),
aes(xintercept = -97),
linetype = "dotted", color = "black", linewidth = 0.5) +
geom_vline(data = core_counts |> filter(source == "c3"),
aes(xintercept = -3),
linetype = "3313", color = "black", linewidth = 0.5) +
geom_vline(xintercept = 0, linetype = "dashed", color = "black", linewidth = 0.5) +
geom_text(
data = subset(core_counts, source == "c1" & week_index == 6),
aes(x=week_index, y=120, label='Opt-out deployment'),
size = 2.5) +
geom_text(
data = subset(core_counts, source == "c1" & week_index == -33),
aes(x=week_index, y=120, label='Opt-in Testing'),
size = 2.5) +
geom_text(
data = subset(core_counts, source == "c2" & week_index == -12),
aes(x=week_index, y=20, label='Deployment Announcement'),
size = 2.5) +
theme_minimal() +
scale_fill_viridis_d() +
labs(
x = "Weeks from Feature Deployment",
y = "Count of mediawiki/core commits Created",
fill = "Commit Author Affiliated with WMF?"
) +
theme(legend.position = "top")
core_commits_created

36
121325_work/misc.R Normal file
View File

@ -0,0 +1,36 @@
library(tidyverse)
library(dplyr)
library(lubridate)
c1_event_date <- as.Date("2013-07-01")
c2_event_date <- as.Date("2013-08-28")
c3_event_date <- as.Date("2015-07-02")
relative_week <- function(date, ref_date) {
as.integer(as.numeric(difftime(date, ref_date, units = "days")) %/% 7)
}
core_csv <-"~/121325_work/121225_vd_data/core_2010-01-01_to_2024-12-31.csv"
core_df <- read.csv(core_csv, header = TRUE)
core_df <- core_df |>
mutate(commit_date = ymd_hms(commit_date)) |>
mutate(isAuthorWMF = case_when(
grepl("krinkle@fastmail\\.com", author_email, ignore.case = TRUE) ~ "TRUE",
grepl("@wikimedia\\.org", author_email, ignore.case = TRUE) ~ "TRUE",
grepl("@wikimedia\\.de", author_email, ignore.case = TRUE) ~ "TRUE",
grepl("@gerrit\\.wikimedia\\.org", author_email, ignore.case = TRUE) ~ "Gerrit",
TRUE ~ "FALSE"
)) |>
mutate(isVE = case_when(
grepl("VisualEditor", message, ignore.case = TRUE) ~ TRUE,
grepl(" VE ", message, ignore.case = TRUE) ~ TRUE,
TRUE ~ FALSE
))
c1_core_weekly <- core_df |>
mutate(week_index = relative_week(commit_date, c1_event_date)) |>
group_by(week_index, isVE)|>
summarise(count = n(), .groups = 'drop')|>
filter(week_index >= -33 & week_index <= 13) |>
mutate(source = 'c1')
true_ <- c1_core_weekly |>
filter(isVE == TRUE)

85
121325_work/newContrib_count_aggregation.R Normal file
View File

@ -0,0 +1,85 @@
library(tidyverse)
library(dplyr)
library(lubridate)
library(stringr)
c1_event_date <- as.Date("2013-07-01")
c2_event_date <- as.Date("2013-08-28")
c3_event_date <- as.Date("2015-07-02")
relative_week <- function(date, ref_date) {
as.integer(as.numeric(difftime(date, ref_date, units = "days")) %/% 7)
}
#get count data for the repositories
ve_csv <-"~/121325_work/121225_vd_data/extension_VisualEditor_2000-01-01_to_2016-12-31.csv"
ve_df <- read.csv(ve_csv, header = TRUE)
ve_df <- ve_df |>
mutate(commit_date = ymd_hms(commit_date)) |>
mutate(isAuthorWMF = case_when(
grepl("krinkle@fastmail\\.com", author_email, ignore.case = TRUE) ~ "TRUE",
grepl("@wikimedia\\.org", author_email, ignore.case = TRUE) ~ "TRUE",
grepl("@wikimedia\\.de", author_email, ignore.case = TRUE) ~ "TRUE",
grepl("@gerrit\\.wikimedia\\.org", author_email, ignore.case = TRUE) ~ "Gerrit",
TRUE ~ "FALSE"
))|>
group_by(author_email) |>
mutate(
isFirstCommit = commit_date == min(commit_date)
) |>
ungroup()
ve_counts <- ve_df |>
mutate(week_index = relative_week(commit_date, c1_event_date)) |>
group_by(week_index, isAuthorWMF, isFirstCommit)|>
summarise(count = n(), .groups = 'drop')|>
filter(week_index >= -33 & week_index <= 13) |>
mutate(source = 'c1')
ve_counts <- ve_counts |>
filter(isAuthorWMF != "Gerrit")|>
filter(source == 'c1')
ve_new_commits_created <- ggplot(
ve_counts,
aes(
x=week_index,
y=count,
fill=isAuthorWMF,
color=isFirstCommit
)
) +
facet_grid(source ~ .,
scales = "free_y",
labeller = labeller(source = c("c1" = "VisualEditor",
"c2" = "HTTPS-login",
"c3" = "HTTP-deprecation"))) +
geom_col(position = position_dodge(width = 0.9), width = 0.8) +
geom_vline(data = ve_counts |> filter(source == "c1"),
aes(xintercept = -29),
linetype = "dotted", color = "black", linewidth = 0.5) +
geom_vline(data = ve_counts|> filter(source == "c1"),
aes(xintercept = -9),
linetype = "dotted", color = "black", linewidth = 0.5) +
geom_vline(data = ve_counts |> filter(source == "c1"),
aes(xintercept = -4),
linetype = "3313", color = "black", linewidth = 0.5) +
geom_vline(xintercept = 0, linetype = "dashed", color = "black", linewidth = 0.5) +
geom_text(
data = subset(ve_counts, source == "c1" & week_index == 6),
aes(x=week_index, y=120, label='Opt-out deployment'),
size = 2.5) +
geom_text(
data = subset(ve_counts, source == "c1" & week_index == -33),
aes(x=week_index, y=120, label='Opt-in Testing'),
size = 2.5) +
geom_text(
data = subset(ve_counts, source == "c1" & week_index == -12),
aes(x=week_index, y=20, label='Deployment Announcement'),
size = 2.5) +
theme_minimal() +
scale_fill_viridis_d() +
labs(
x = "Weeks from Feature Deployment",
y = "Count of mediawiki/core commits Created",
fill = "Commit Author Affiliated with WMF?"
) +
theme(legend.position = "top")
ve_new_commits_created

111
121325_work/work-migration.R Normal file
View File

@ -0,0 +1,111 @@
library(tidyverse)
library(dplyr)
library(lubridate)
relative_week <- function(date, ref_date) {
as.integer(as.numeric(difftime(date, ref_date, units = "days")) %/% 7)
}
core_csv <-"~/121325_work/121225_vd_data/core_2010-01-01_to_2024-12-31.csv"
core_df <- read.csv(core_csv, header = TRUE)
core_df <- core_df |> mutate(repo = "core")
ve_csv <-"~/121325_work/121225_vd_data/extension_VisualEditor_2000-01-01_to_2016-12-31.csv"
ve_df <- read.csv(ve_csv, header = TRUE)
ve_df <- ve_df |> mutate(repo = "ve")
joint_df <- rbind(core_df, ve_df)
top_four_emails <- ve_df %>%
filter(commit_date >= as.Date("2012-11-11") & commit_date <= as.Date("2013-09-29") ) |>
group_by(author_email) %>%
summarise(email_count = n(), .groups = "drop") %>%
arrange(desc(email_count)) %>%
slice_head(n = 7)
known_affil_emails <- c("krinkle@fastmail.com", "roan.kattouw@gmail.com",
"trevorparscal@gmail.com", "krinklemail@gmail.com", "moriel@gmail.com")
active_names<- c("Timo Tijhof", "Krinkle", "Roan Kattouw", "Catrope",
"Trevor Parscal", "Ed Sanders")
#jforrester@wikimedia.org
#(author_name %in% active_names) ~ "ActiveEmails",
joint_df <- joint_df |>
mutate(commit_date = ymd_hms(commit_date)) |>
mutate(isAuthorWMF = case_when(
(author_email %in% known_affil_emails) ~ "TRUE",
grepl("l10n-bot@translatewiki\\.net", author_email, ignore.case = TRUE) ~ "localization",
grepl("@wikimedia\\.org", author_email, ignore.case = TRUE) ~ "TRUE",
grepl("@wikimedia\\.de", author_email, ignore.case = TRUE) ~ "TRUE",
grepl("@gerrit\\.wikimedia\\.org", author_email, ignore.case = TRUE) ~ "Gerrit",
TRUE ~ "FALSE"
))
library(tidyr)
authors_in_both <- joint_df |>
group_by(author_email, repo) |>
summarise(commit_count = n(), .groups = "drop") |>
pivot_wider(names_from = repo, values_from = commit_count, values_fill = 0) |>
filter(core > 0 & ve > 0) |>
pull(author_email)
joint_df_filtered <- joint_df |>
filter(author_email %in% authors_in_both)
c1_event_date <- as.Date("2013-07-01")
c1_core_weekly <- joint_df_filtered |>
mutate(week_index = relative_week(commit_date, c1_event_date)) |>
group_by(week_index, isAuthorWMF, repo)|>
summarise(count = n(), .groups = 'drop')|>
filter(week_index >= -33 & week_index <= 13) |>
mutate(source = 'c1')
counts <- c1_core_weekly |>
filter(isAuthorWMF != "Gerrit")|>
filter(isAuthorWMF != "localization")|>
filter(source == 'c1')
#counts <- c1_core_weekly |>
# filter(isAuthorWMF == "ActiveEmails") |>
# filter(source == 'c1')
commits_created <-
ggplot(
counts,
aes(
x=week_index,
y=count,
fill=isAuthorWMF,
)
) +
facet_grid(repo ~ .,
scales = "free_y",
labeller = labeller(source = c("c1" = "VisualEditor",
"c2" = "HTTPS-login",
"c3" = "HTTP-deprecation"))) +
geom_col(position = position_dodge(width = 0.9), width = 0.8) +
geom_vline(data = counts |> filter(source == "c1"),
aes(xintercept = -29),
linetype = "dotted", color = "black", linewidth = 0.5) +
geom_vline(data = counts |> filter(source == "c1"),
aes(xintercept = -9),
linetype = "dotted", color = "black", linewidth = 0.5) +
geom_vline(data = counts |> filter(source == "c1"),
aes(xintercept = -4),
linetype = "3313", color = "black", linewidth = 0.5) +
geom_vline(xintercept = 0, linetype = "dashed", color = "black", linewidth = 0.5) +
geom_text(
data = subset(counts, source == "c1" & week_index == 3),
aes(x=week_index, y=100, label='Opt-out deployment'),
size = 2.5) +
geom_text(
data = subset(counts, source == "c1" & week_index == -27),
aes(x=week_index, y=100, label='Opt-in Testing'),
size = 2.5) +
geom_text(
data = subset(counts, source == "c1" & week_index == -4),
aes(x=week_index, y=100, label='Deployment Announcement'),
size = 2.5) +
theme_minimal() +
scale_fill_viridis_d() +
labs(
x = "Weeks from Feature Deployment",
y = "Weekly count of new Commits",
fill = "Commit Author Affiliated with WMF?"
) +
theme(legend.position = "top")
commits_created