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---
title: "Weblate dashboard"
output:
flexdashboard::flex_dashboard:
theme:
version: 4
heading_font:
google: Sen
base_font:
google: Prompt
orientation: rows
self_contained: false
vertical_layout: scroll
source_code: embed
navbar:
- { title: "Github", href: "https://github.com/r-devel/translations-dashboard/weblate", align: right, icon: fa-github}
css: ["fragments/custom.css"]
skin:
header_bg: "#ffffff"
header_fg: "#000000"
sidebar_bg: "#00438d"
sidebar_fg: "#ffffff"
body_bg: "#f8f9fa"
body_fg: "#000000"
---
```{r setup, include=FALSE}
library(crosstalk)
library(curl)
library(dplyr)
library(DT)
library(fontawesome)
library(formattable)
library(flexdashboard)
library(htmltools)
library(htmlwidgets)
library(jsonlite)
library(lubridate)
library(plotly, exclude = "style")
library(reactable)
library(readr)
library(reshape2)
# Data sets
Language_Statistics_new <- read_csv("Language Statisitics/Language_Statistics_new.csv")
Library_Language_Statistics <- read_csv("Library Language Statistics/Library Language Statistics.csv")
Marked_for_Edit <- read_csv("Recent Changes/Marked for Edit.csv")
New_Translation <- read_csv("Recent Changes/New Translation.csv")
Statistics <- read_csv("User Statistics/Statistics.csv")
# Helper functions
compute_active <- function() {
active_count<-nrow(subset(Statistics,Active=="Active"))
total<-nrow(Statistics)
return(active_count*100/total)
}
compute_inactive <- function() {
inactive_count<-nrow(subset(Statistics,Active=="Inactive"))
total<-nrow(Statistics)
return(inactive_count*100/total)
}
compute_unbegun <- function() {
unbegun_count<-nrow(subset(Statistics,Active=="Unbegun"))
total<-nrow(Statistics)
return(unbegun_count*100/total)
}
# Install thematic and un-comment for themed static plots (i.e., ggplot2)
#thematic::thematic_rmd()
```
Sidebar {.sidebar data-width=200}
=====================================
```{r, echo=FALSE, results='asis'}
htmltools::includeHTML('fragments/sidebar.html')
```
Languages
=====================================
Row
---------------------------------------------------------------
--------
### Total Languages
```{r}
valueBox(nrow(Language_Statistics_new), icon = "fa-language", color = "white")
```
### Translated Messages
```{r}
valueBox(sum(Language_Statistics_new$Translated), icon = "fa-comment", color = "white")
```
### Untranslated Messages
```{r}
valueBox(sum(Language_Statistics_new$Untranslated), icon = "fa-comment-slash", color = "white")
```
### Fuzzy Messages
```{r}
valueBox(sum(Language_Statistics_new$Fuzzy), icon = "fa-puzzle-piece", color = "white")
```
Row{data-height=800px}
-----------------------------------------------------------------------
### Languages V/S Translations
```{r fig.width=10,fig.height=30}
Statistics$Languages <- lapply(Statistics$Languages, function(x) {
if (startsWith(x, "c(")) {
eval(parse(text = x))
} else {
x
}
})
board<-Statistics[order(Statistics$translated,decreasing = TRUE),]
boards<-board %>% select(name,username,translated,Languages,Active)
boards<-boards%>%mutate(Rank=row_number())
df<-select(Language_Statistics_new,c(Name,Translated,Fuzzy,Untranslated))
df_long <- reshape2::melt(df, id.vars = "Name")
p<-ggplot(df_long, aes(x = Name, y = value, fill = variable)) +
geom_bar(stat = "identity") +
labs(x = "Languages", y = "Translation",fill="Legend") +
scale_fill_manual(values = c("Translated" = "#A2FF86", "Fuzzy" = "#0079FF", "Untranslated" = "#F31559")) +theme(axis.text.x = element_text(angle = 90,size=18),legend.text = element_text(size = 14),legend.box = "horizontal",legend.title = element_text(size=30),axis.title.x = element_text(angle = 0,size=22),axis.title.y = element_text(angle = 90,size=22),axis.text.y = element_text(angle = 0,size=18),legend.background=element_rect(fill="pink", size=1, linetype="solid"))
p_plotly <- ggplotly(p)
```
This graph decipts the translation status of each language.
This graph gives a clear idea of which languages require more attention.
```{r fig.width=10,fig.height=10}
p <- p_plotly %>% layout(xaxis = list(tickfont = list(size = 10),titlefont = list(size = 1)),yaxis = list(tickfont = list(size = 10)),legend=list(font=list(size=10),title=list(font=list(size=16))))
p
```
Row
----------------------------------------------------------------------------
### Population V/S Translations
```{r}
fig1 <- plot_ly(Language_Statistics_new, y = ~Population, x = ~Name, name = 'Population', type = 'bar')
fig2 <- plot_ly(Language_Statistics_new, y = ~Translated, x = ~Name, name = 'Translation', type = 'bar')
fig <- subplot(fig1,fig2,nrows=2,margin = 0.07,shareX = TRUE)%>%
layout(title = list(text = "Population v/s Translations Completed"), plot_bgcolor='#e5ecf6', xaxis = list(title="Language",zerolinecolor = '#ffff', zerolinewidth = 2, gridcolor = 'ffff'), yaxis = list(title="Population",zerolinecolor = '#ffff', zerolinewidth = 2, gridcolor = 'ffff'),yaxis2=list(title="Translations"),showlegend=FALSE,barmode="stack")
# Add hyperlinks to x-axis labels
fig <- fig %>% add_annotations(
x=Language_Statistics_new$Name,
y=rep(-0.3,length(Language_Statistics_new$Name)),
text=paste0("<a href='https://translate.rx.studio/languages/",Language_Statistics_new$Code,"/'>Link</a>"),
xref='x',
yref='paper',
showarrow=FALSE,
font=list(color='blue',size=10),
xshift=10
)
fig
```
Row
-----------------------------------------------------------------------
### Languages V/S Translation Status
```{r}
plot_trans<-plot_ly(Language_Statistics_new,x=~Name,y=~Translated,name="Translated",type = "bar")
plot_trans<-plot_trans%>%add_trace(y=~Untranslated,name="Untranslated")
plot_trans<-plot_trans%>%add_trace(y=~Fuzzy,name="Fuzzy")%>%layout(barmode="stack")
plot_trans
```
Row {data-height=450}
-----------------------------------------------------------------------
### Languages V/S Users
```{r}
vec<-numeric()
for(i in board$Languages)
{
vec<-c(vec,i)
}
counting<-Language_Statistics_new
counting$Contributors<-rep(0,length(counting$Name))
for(i in vec)
{
if(i %in% counting$Name)
{
index<-which(counting$Name==i)
counting$Contributors[index]<-counting$Contributors[index]+1
}
}
counting<-counting[ ,!(colnames(counting) %in% c("Code", "Date","Time"))]
counting$`50% translation`<-ifelse(counting$Translated*2>=counting$Total_Words,TRUE,FALSE)
counting<-subset(counting,select = -...1)
```
```{r}
formattable(counting,list(Population = color_tile("white", "orange"),area(col = c("Total_Words")) ~ normalize_bar("pink", 0.2),area(col = c("Translated")) ~ normalize_bar("lightgreen", 0.2),area(col = c("Fuzzy")) ~ normalize_bar("lightblue", 0.2),area(col = c("Untranslated")) ~ normalize_bar("rgb(255, 182, 193)", 0.2),Name = formatter(
"span",
style = x ~ ifelse(counting$Contributors == 0, "color:red; font-weight:bold","color:black")
),Contributors = formatter(
"span",
style = x ~ ifelse(x == 0, "color:red", "color:black")
),`50% translation` = formatter("span",
style = x ~ style(color = ifelse(x, "green", "red")),
x ~ icontext(ifelse(x, "ok", "remove"), ifelse(x, "Yes", "No")))
))
```
*The Languages marked in RED have no Contributors.
```{css,echo=FALSE}
.bootstrap-table{
overflow-y: scroll !important;
height: 450px;
}
```
Leaderboard
=====================================
Row {data-height=450}
-----------------------------------------------------------------------
### Weblate Leaderboard <span style="float: right;"><small>*Active Users : Users who are active within 6 months.</small></span>
```{r table, echo=FALSE, message=FALSE}
shared_data <- SharedData$new(boards)
shared_data%>%reactable(
.,
pagination = TRUE,
showPageSizeOptions = TRUE,
defaultColDef = colDef(vAlign = "center", headerClass = "header"),
columns = list(
Rank = colDef(
name = "Rank",
align = "center",
minWidth = 70,
maxWidth = 120,
cell = JS('function(cellInfo) {
let units;
if(cellInfo.viewIndex === 0)
{
units="🥇"
}else if(cellInfo.viewIndex === 1)
{
units="🥈"
}else if(cellInfo.viewIndex === 2)
{
units="🥉"
}else
{
units=""
}
return cellInfo.value + `<div class="units">${units}</div>`
}'),
html = TRUE
),
name = colDef(
name = "Name",
# Since there are so many rows, we use a JS render function to keep the
# page size down. This would be much easier to code in R, but that would
# significantly increase the file size.
html = TRUE,
minWidth = 150,
filterable = TRUE
),
username = colDef(
name = "User-Name",
# Since there are so many rows, we use a JS render function to keep the
# page size down. This would be much easier to code in R, but that would
# significantly increase the file size.
cell = JS("renderMovie"),
html = TRUE,
minWidth = 150
),
translated = colDef(
name = "Translations",
defaultSortOrder = "desc",
# Show the user score in a donut chart like TMDb does. Since donut charts
# are hard to compare, apply a color scale as well.
html = TRUE,
align = "center",
width = 140,
class = "user-score"
),
Active = colDef(cell = function(value){
class<-paste0("tag status-",tolower(value))
div(class=class,value)
}),
Languages = colDef(show = FALSE)
),
highlight = TRUE,
bordered = TRUE,
compact = TRUE,
class = "movies-tbl"
)
```
```{js table_js, echo=FALSE}
// Custom JavaScript cell renderer for the Movie column
function renderMovie(cellInfo) {
const url = 'https://translate.rx.studio/user/' + cellInfo.row['username']
const imageSrc = 'https://translate.rx.studio/avatar/128/' + cellInfo.row['username']+'.png'
const altText = cellInfo.value + ' movie poster'
const poster = `<a href="${url}"><img src="${imageSrc}" class="movie-poster" alt="${altText}"></a>`
const title = `<a href="${url}">${cellInfo.value}</a>`
const text = `<div class="movie-info-text">${title}</div>`
return `<div class="movie-info">${poster}${text}</div>`
}
```
```{css,echo=FALSE}
/* Font from https://fontsarena.com/hanken-grotesk-by-hanken-design-co/ */
.movies {
font-family: 'Hanken Grotesk', Helvetica, Arial, sans-serif;
}
.movies h2 {
font-weight: 600;
}
.movies a {
color: #007899;
text-decoration: none;
}
.movies a:hover,
.movies a:focus {
text-decoration: underline;
text-decoration-thickness: max(1px, 0.0625rem);
}
.movies-tbl {
margin-top: 1rem;
font-size: 0.9rem;
}
.header {
color: hsl(220, 100%, 75%);
font-weight: 700;
font-size: 0.8125rem;
letter-spacing: 0.4px;
text-transform: uppercase;
}
.header:hover[aria-sort],
.header[aria-sort='ascending'],
.header[aria-sort='descending'] {
color: hsl(0, 100%, 55%);
}
.units {
display: inline-block;
width: 1.125rem;
}
.movie-info {
display: flex;
align-items: center;
}
.movie-info-text {
margin-left: 0.75rem;
font-weight: 600;
overflow: hidden;
text-overflow: ellipsis;
}
.movie-info-details {
margin-top: 0.125rem;
font-size: 0.875rem;
font-weight: 400;
color: hsl(0, 0%, 40%);
overflow: hidden;
text-overflow: ellipsis;
}
.tag {
display: inline-block;
padding: 0.125rem 0.75rem;
border-radius: 15px;
font-weight: 600;
font-size: 0.75rem;
}
.status-active {
background: hsl(116, 60%, 90%);
color: hsl(116, 30%, 25%);
}
.status-inactive {
background: hsl(230, 70%, 90%);
color: hsl(230, 45%, 30%);
}
.status-unbegun {
background: hsl(350, 70%, 90%);
color: hsl(350, 45%, 30%);
}
.movie-poster {
width: 60px;
height: 60px;
box-shadow: 0 0 0 1px hsl(0, 0%, 95%);
}
.user-score {
font-weight: 600;
}
```
Row
-----------------------------------------------------------------------
### Active Users
```{r}
active <- compute_active()
gauge(active, min = 0, max = 100, symbol = '%', gaugeSectors(
success = c(50, 100), warning = c(30,50), danger = c(0, 30)
))
```
### Inactive Users
```{r}
inactive <- compute_inactive()
gauge(inactive, min = 0, max = 100, symbol = '%', gaugeSectors(
success = c(0,20), warning = c(20,50), danger = c(50, 100)
))
```
### Unbegun Users
```{r}
unbegun <- compute_unbegun()
gauge(unbegun, min = 0, max = 50, symbol = '%', gaugeSectors(
success = c(0,5), warning = c(5,15), danger = c(15,50)
))
```
Row
---------------------------------------------------------------
--------
### primary
```{r}
valueBox(nrow(subset(Statistics,Active=="Active")), caption = "Active Users", icon = "fa-solid fa-users")
```
### Warning
```{r}
valueBox(nrow(subset(Statistics,Active=="Inactive")), caption = "Inactive Users", color = "warning", icon = "fa-solid fa-user-minus")
```
### Danger
```{r}
valueBox(nrow(subset(Statistics,Active=="Unbegun")), caption = "Unbegun users", color = "danger", icon = "fa-solid fa-user-slash")
```
Row
---------------------------------------------------------------
--------
### Graph of Top 10 Users vs Translation
```{r}
fig <- plot_ly(boards[1:10,], x = ~name, y = ~translated, type = 'bar', color=~name)
fig <- fig %>% layout(xaxis = list(title = "Name", tickangle = -45,categoryorder = "total descending"),
yaxis = list(title = "Translations"),
margin = list(b = 100),showlegend=FALSE,rangeslider=list(type="name"))
fig
```
Library
=====================================
Row
-----------------------------------------------------------------------
### Libraries
```{r fig.height=7}
# Your code for creating the initial plot
fig <- plot_ly(Library_Language_Statistics, x = ~Language, y = ~Translated, text = ~paste("Translated:", Translated, "<br>",
"Library:", Library, "<br>",
"Language:", Language), type = 'scatter', mode = 'markers', marker = list(opacity = 0.5, sizemode = 'diameter',size=8))
fig <- fig %>% layout(title = 'Status of Languages in each Library',
xaxis = list(showgrid = FALSE),
yaxis = list(showgrid = FALSE),
showlegend = FALSE)
# Create a list of buttons for the dropdown menu
buttons <- lapply(unique(Library_Language_Statistics$Library), function(lib) {
list(
method = "restyle",
args = list(
list(
x = list(Library_Language_Statistics$Language[Library_Language_Statistics$Library == lib]),
y = list(Library_Language_Statistics$Translated[Library_Language_Statistics$Library == lib]),
text = list(paste("Library:", Library_Language_Statistics$Library[Library_Language_Statistics$Library == lib], "<br>",
"Language:", Library_Language_Statistics$Language[Library_Language_Statistics$Library == lib], "<br>",
"Translated:", Library_Language_Statistics$Translated[Library_Language_Statistics$Library == lib])),
hovertext = list(paste("Library:", Library_Language_Statistics$Library[Library_Language_Statistics$Library == lib], "<br>",
"Language:", Library_Language_Statistics$Language[Library_Language_Statistics$Library == lib], "<br>",
"Translated:", Library_Language_Statistics$Translated[Library_Language_Statistics$Library == lib]))
, marker = list(
size=10,
color = "blue"
)
)
),
label = lib
)
})
# Add the dropdown menu to the plot
fig <- fig %>% layout(
updatemenus = list(
list(
y = 1,
buttons = buttons
)
)
)
fig
```
Row{data-height=620px}
-----------------------------------------------------------------------------
```{r}
libraries <- unique(Library_Language_Statistics$Library)
plots <- list()
top_label <- c('Total<br>Words', 'Translated', 'Fuzzy', 'Untranslated')
for (libr in libraries) {
df <- subset(Library_Language_Statistics, Library == libr)
fi <- plot_ly(df, x = ~Total_words, y = ~Language, type = 'bar', orientation = 'h',
name = 'Total Words',
marker = list(color = 'rgba(38, 24, 74, 0.8)',
line = list(color = 'rgb(248, 248, 249)', width = 1)))
fi <- fi %>% add_trace(x = ~Translated, name = 'Translated', marker = list(color = 'rgba(71, 58, 131, 0.8)'))
fi <- fi %>% add_trace(x = ~Fuzzy, name = 'Fuzzy', marker = list(color = 'rgba(122, 120, 168, 0.8)'))
fi <- fi %>% add_trace(x = ~Untranslated, name = 'Untranslated', marker = list(color = 'rgba(164, 163, 204, 0.85)'))
fi <- fi %>% layout(
xaxis = list(
title = "",
showgrid = FALSE,
showline = FALSE,
showticklabels = FALSE,
zeroline = FALSE,
domain = c(0.15, 1)
),
yaxis = list(
title = "",
showgrid = FALSE,
showline = FALSE,
showticklabels = FALSE,
zeroline = FALSE
),
barmode = 'stack',
paper_bgcolor = 'rgb(248, 248, 255)',
plot_bgcolor = 'rgb(248, 248, 255)',
margin = list(),
showlegend = F
)
fi <- fi %>% add_annotations(
xref = 'paper',
yref = 'y',
x = 0.14,
y = df$Language,
xanchor = 'right',
text = df$Language,
font = list(family = 'Arial', size = 10, color = 'rgb(67, 67, 67)'),
showarrow = FALSE,
align = 'right'
)
fi <- fi %>% add_annotations(
xref = 'x',
yref = 'y',
x = df$Total_words / 2,
y = df$Language,
text = paste(df$Total_words),
font = list(family = 'Arial', size = 10, color = 'rgb(248, 248, 255)'),
showarrow = FALSE
)
fi <- fi %>% add_annotations(
xref = 'x',
yref = 'y',
x = df$Total_words + df$Translated / 2,
y = df$Language,
text = ifelse(df$Translated != 0, paste(df$Translated), ""),
font = list(family = 'Arial', size = 10, color = 'rgb(248, 248, 255)'),
showarrow = FALSE
)
fi <- fi %>% add_annotations(
xref = 'x',
yref = 'y',
x = df$Total_words + df$Translated + df$Fuzzy / 2,
y = df$Language,
text = ifelse(df$Fuzzy != 0, paste(df$Fuzzy), ""),
font = list(family = 'Arial', size = 10, color = 'rgb(248, 248, 255)'),
showarrow = FALSE
)
fi <- fi %>% add_annotations(
xref = 'x',
yref = 'y',
x = df$Total_words + df$Translated + df$Fuzzy + df$Untranslated / 2,
y = df$Language,
text = ifelse(df$Untranslated != 0, paste(df$Untranslated), ""),
font = list(family = 'Arial', size = 10, color = 'rgb(248, 248, 255)'),
showarrow = FALSE
)
fi <- fi %>% layout(annotations = list(
list(
x = 0.5,
y = 1.1,
text = libr,
showarrow = F,
xref = 'paper',
yref = 'paper',
xanchor = 'center',
yanchor = 'top',
font = list(size = 16)
)
))
plots[[libr]] <- fi
}
```
### Library Translation Status
```{r}
subplot1 <- subplot(plots[[5]], plots[[6]], nrows = 1)
subplot2 <- subplot(plots[[7]], plots[[8]], nrows = 1)
subplot1 <- subplot1 %>% layout(margin = list(t = 30, b = 30))
subplot2 <- subplot2 %>% layout(margin = list(t = 30, b = 30))
subplots <- subplot(subplot1, subplot2, subplot2, nrows = 3) %>% layout(width = 1030, height = 305 * 3)
for (i in seq_along(plots)) {
plots[[i]] <- plots[[i]] %>% layout(margin = list(t = 60, b = 30))
}
subplots2 <- subplot(plots, nrows = ceiling(length(libraries) / 2)) %>% layout(width = 1030, height = 305 * length(libraries))
scrollable_div <- div(
style = "overflow-y: scroll; height: 600px;",
subplots2
)
scrollable_div
```
Row{data-height=800px}
---------------------------------------------------------------------------------
### Translation Status per Language
```{r}
component<-unique(Library_Language_Statistics$Component)
r_component<-subset(Library_Language_Statistics,Component==component[1])
c_component<-subset(Library_Language_Statistics,Component==component[3])
english_component<-subset(Library_Language_Statistics,Component==component[2])
library<-unique(r_component$Library)
libra<-c()
total_word<-c()
translate<-c()
for(lib in library)
{
indexes<-which(r_component$Library==lib)
total_word<-c(total_word,sum(r_component$Total_words[indexes]))
translate<-c(translate,sum(r_component$Translated[indexes]))
libra<-c(libra,lib)
}
r_df<-data.frame(libra,total_word,translate)
library<-unique(c_component$Library)
libra<-c()
total_word<-c()
translate<-c()
for(lib in library)
{
indexes<-which(c_component$Library==lib)
total_word<-c(total_word,sum(c_component$Total_words[indexes]))
translate<-c(translate,sum(c_component$Translated[indexes]))
libra<-c(libra,lib)
}
c_df<-data.frame(libra,total_word,translate)
library<-unique(english_component$Library)
libra<-c()
total_word<-c()
translate<-c()
for(lib in library)
{
indexes<-which(english_component$Library==lib)
total_word<-c(total_word,sum(english_component$Total_words[indexes]))
translate<-c(translate,sum(english_component$Translated[indexes]))
libra<-c(libra,lib)
}
eng_df<-data.frame(libra,total_word,translate)
#
# television_2 <- list(
# xref = 'paper',
# x = 0.95,
# y = 0.95,
# xanchor = 'left',
# yanchor = 'middle',
# text = paste("Total words"),
# font = list(family = 'Arial',
# size = 16,
# color = 'rgba(67,67,67,1)'),
# showarrow = FALSE)
#
# internet_2 <- list(
# xref = 'paper',
# x = 0.95,
# y = 0.95,
# xanchor = 'left',
# yanchor = 'middle',
# text = paste("Translated"),
# font = list(family = 'Arial',
# size = 16,
# color = 'rgba(67,67,67,1)'),
# showarrow = FALSE)
#
plot_r<-plot_ly(r_df,x=~libra,y=~total_word,name="Total words",type = "bar")
plot_r<-plot_r%>%add_trace(y=~translate,name="Translate")%>%layout(showlegend = FALSE,annotations = list(
list(
x = 0.5,
y = 1.1,
text = "R",
showarrow = F,
xref = 'paper',
yref = 'paper',
xanchor = 'center',
yanchor = 'top',
font=list(size=16)
)),barmode="stack")
plot_c<-plot_ly(c_df,x=~libra,y=~total_word,name="Total words",type = "bar")
plot_c<-plot_c%>%add_trace(y=~translate,name="Translate",mode="lines+markers")%>%layout(showlegend = FALSE,annotations = list(
list(
x = 0.5,
y = 1.1,
text = "C",
showarrow = F,
xref = 'paper',
yref = 'paper',
xanchor = 'center',
yanchor = 'top',
font=list(size=16)
)),barmode="stack")
# plot_eng<-plot_ly(eng_df,x=~libra,y=~total_word,name="Total words",type = "scatter",mode="lines+markers",line=list(color="pink"))
# plot_eng<-plot_eng%>%add_trace(y=~translate,name="Translate",mode="lines+markers",line=list(color="rgb(0,100,80)"))%>%layout(showlegend = FALSE,annotations = list(
# list(
# x = 0.5,
# y = 1.1,
# text = "English",
# showarrow = F,
# xref = 'paper',
# yref = 'paper',
# xanchor = 'center',
# yanchor = 'top',
# font=list(size=16)
# )))
subplot(plot_r,plot_c,nrows=2,margin = 0.07)
```
Translations
=====================================
```{r}
linked<-c()
for(u in Marked_for_Edit$units)
{
url<-paste0("https://translate.rx.studio/api/units/",u,"/")
h <- new_handle()
handle_setopt(h, ssl_verifyhost = 0L, ssl_verifypeer = 0L)
handle_setopt(h, customrequest = "GET")
handle_setopt(h, httpheader = c("Authorization: Token wlu_U8k6Kk12pyhXuBeXOP6imHRFiPrUMwHgHari"))
res <- curl_fetch_memory(url, handle = h)
content <- rawToChar(res$content)
users_last <- fromJSON(content)
linked<-c(linked,users_last$web_url)
}
data <- cbind(
Marked_for_Edit,links=NA
)
data$linked <- linked
data$date<-as.Date(data$date)
```
Row
--------------------------------------------------------------------------------
### Translation in Weblate that require review
```{r}
htmltools::div(
style = "width: 100%;
height:450px;
overflow:auto;",
reactable(
data,
filterable = TRUE,
defaultColDef = colDef(show = TRUE),
groupBy=c("language","library"),
showPageSizeOptions = TRUE,
pagination = TRUE,
columns = list(
linked = colDef(show = FALSE),
units =colDef(name="Translation_message_id"),
links = colDef(
name = "",
sortable = FALSE,
cell = function() htmltools::tags$button("Links")
)
),
onClick = JS("function(rowInfo, column) {
if (column.id !== 'links') {
return
}
var link = rowInfo.row.linked;
console.log(link);
window.open(link, '_blank');
}")
)
)
```
Row
---------------------------------------------------------------------------------
### Growth of Translations over Last Year
```{r}
all_date<-as.POSIXct.Date(New_Translation$date,origin="1970-01-01")
all_date2<-as.POSIXct.Date(Marked_for_Edit$date,origin="1970-01-01")
all_date<-c(all_date,all_date2)
# extract the year and month from each date
year_month <- format(all_date, "%Y-%m")
# count the number of dates in each month
date_counts <- table(year_month)
# display the result
date_counts<-as.data.frame(date_counts)
date_counts$cumFreq<-cumsum(date_counts$Freq)
date_counts<-date_counts[(nrow(date_counts)-11):nrow(date_counts),]
fig <- plot_ly(date_counts, x = ~year_month, y = ~cumFreq, name = 'Graph', type = 'scatter', mode = 'line', stackgroup = 'one', fillcolor = 'pink')
fig <- fig %>% layout(title = 'Growth of Translations over time',
xaxis = list(title = "Dates",
showgrid = FALSE),
yaxis = list(title = "Transaltions",
showgrid = FALSE))
fig
```
Row
--------------------------------------------------------------------------------
### Translated
```{r}
New_Translation$date<-as.Date(New_Translation$date)
htmltools::div(
style = "width: 100%;
height:450px;
overflow:auto;",
reactable(
New_Translation,
filterable = TRUE,
defaultColDef = colDef(show = TRUE),
groupBy=c("library","language"),
showPageSizeOptions = TRUE,
columns = list(
new_linked = colDef(show = FALSE),
units =colDef(show=FALSE),
links = colDef(
name = "",
sortable = FALSE,
cell = function() htmltools::tags$button("Links")
)
),
onClick = JS("function(rowInfo, column) {
if (column.id !== 'links') {
return
}
var link = rowInfo.row.linked;
console.log(link);
window.open(link, '_blank');
}")
)
)
```
Row
---------------------------------------------------------------------------------
### New Translation Per Month
```{r}
date_counts2 <- table(year_month)
# display the result
date_counts2<-as.data.frame(date_counts2)
fig1 <- plot_ly(date_counts2, y = ~Freq, x = ~year_month, name = 'New_Translation', type = 'bar',color = "orange")
fig1
```
Information
=====================================
Row
---------------------------------------------------------------------------------
### R Translation Weblate Status
:::: {.blackbox data-latex=""}
::: {.center data-latex=""}
<strong>Dashboard Developer</strong>
:::
<p><h3>Shrish Shete</h3>(<em>Contributor at GSOC 2023</em>)</p>
<i class="fa-solid fa-circle-info"></i> <b>About</b> : Student at <b>IIT Kanpur</b>,India (Statistics and Data Science)<br>
<i class="fa-regular fa-envelope"></i> <b>Email</b> : [email protected]<br>
<i class="fa-brands fa-github"></i> <b>Github</b> : https://github.com/shrish-shete20<br>
<i class="fa-brands fa-linkedin"></i> <b>Linkedin</b> : https://www.linkedin.com/in/shrish-shete-31a34a249/<br>
::::
### R Translation Weblate Status
:::: {.blackbox data-latex=""}
::: {.centers data-latex=""}
<strong>Mentors</strong>
:::
<h5 class="Mentor1">Ben Ubah</h5>
<i class="fa-solid fa-circle-info"></i> <b>About</b> : Mentor at GSOC 2023<br>
<i class="fa-regular fa-envelope"></i> <b>Email</b> : [email protected]<br>
<h5 class="Mentor2">Gabriel Becker</h5>
<i class="fa-solid fa-circle-info"></i> <b>About</b> : Mentor at GSOC 2023<br>
<i class="fa-regular fa-envelope"></i> <b>Email</b> : [email protected]<br>
::::
<style>
.centers {
text-align: center;
}
</style>
Row
---------------------------------------------------------------------------------
### <small> <em>About the Dashboard</em></small>
This R project seeks to develop a dashboard that provides a clear overview of the current
status of language translations, enabling the R community to comprehend the progress
made thus far easily.
The development of this tool has the potential to serve as a primary resource for exploring
and comprehending the progress made in translating a specific language. It can benefit a
wide range of stakeholders, including community developers and organizers seeking
information on language translations.
By providing a comprehensive report on the translation status of messages in different
languages, the tool can support the planning of diversity packages and recognize the
contributions of regional volunteers who devote considerable time and effort to translating
messages into their native languages by acknowledging the efforts.