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Data upload, download, display, modals and modules added.

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Asitav Sen
2022-02-18 11:10:36 +01:00
parent 950399bbef
commit a8a6d43d67
12 changed files with 555 additions and 143 deletions
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10
.Rproj.user/178A6739/sources/session-99529da2/58AD392C
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@@ -3,7 +3,7 @@
"path": "~/Projects/LoanRisk/panel.R",
"project_path": "panel.R",
"type": "r_source",
"hash": "814836357",
"hash": "2913767970",
"contents": "",
"dirty": false,
"created": 1686047069391.0,
@@ -12,15 +12,15 @@
"properties": {
"source_window_id": "",
"Source": "Source",
"cursorPosition": "50,5",
"scrollLine": "25"
"cursorPosition": "50,4",
"scrollLine": "12"
},
"folds": "",
"lastKnownWriteTime": 1686047216,
"lastKnownWriteTime": 1686047587,
"encoding": "UTF-8",
"collab_server": "",
"source_window": "",
"last_content_update": 1686047216552,
"last_content_update": 1686047587539,
"read_only": false,
"read_only_alternatives": []
}

126
.Rproj.user/178A6739/sources/session-99529da2/58AD392C-contents
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@@ -48,67 +48,67 @@ panel1<-
")
)
),
))#,
# tags$hr(),
# fluidRow(
# column(
# width = 6,
# fluidRow(
# h3("Data"),
# br(),
# p("This section shows the data (uploaded or inbuilt sample).")
# ),
# br(),
# withSpinner(dataTableOutput("up_data"),type = 7,
# color = "black"),
# br(),
# actionButton("uploadnew", "Upload New Data", class="btn-light")
# ),
# column(width = 6,
# br(),
# basicstatUI("nofloans"))
#
# ),
# br(),
# br(),
# fluidRow(
# column(
# width = 6,
# h3("With Macroeconomic data"),
# p(
# "In this section, we add macroeconomic data. Please select the country of the asset and click on fetch button. If download fails, click again or try after sometime. Please note that GDP data has been discontinued by IMF recently. Hence, using Industrial output temporarily."
# ),
# column(
# width = 6,
# selectInput(
# "country",
# "Country",
# selected = "India",
# choices = countries$Country
# )
# ),
# column(
# width = 6,
# br(),
# actionButton("fetchimf", "Fetch IMF data", class = "glow")
# ),
# withSpinner(
# dataTableOutput("fulldata"),
# type = 7,
# color = "black"
# )
# ),
# column(width = 6,
# uiOutput("ac_button"),
# uiOutput("expcalcu"))
# ),
# br(),
# br(),
# fluidRow(column(width = 11,
# uiOutput("scenario_opts"))),
# br(),
# fluidRow(column(width = 11,
# uiOutput("credit_loss"))),
# fluidRow(column(width = 11,
# uiOutput("dlmanager")))
)),
tags$hr(),
fluidRow(
column(
width = 6,
fluidRow(
h3("Data"),
br(),
p("This section shows the data (uploaded or inbuilt sample).")
),
br(),
withSpinner(dataTableOutput("up_data"),type = 7,
color = "black"),
br(),
actionButton("uploadnew", "Upload New Data", class="btn-light")
),
column(width = 6,
br(),
basicstatUI("nofloans"))
),
br(),
br(),
fluidRow(
column(
width = 6,
h3("With Macroeconomic data"),
p(
"In this section, we add macroeconomic data. Please select the country of the asset and click on fetch button. If download fails, click again or try after sometime. Please note that GDP data has been discontinued by IMF recently. Hence, using Industrial output temporarily."
),
column(
width = 6,
selectInput(
"country",
"Country",
selected = "India",
choices = countries$Country
)
),
column(
width = 6,
br(),
actionButton("fetchimf", "Fetch IMF data", class = "glow")
),
withSpinner(
dataTableOutput("fulldata"),
type = 7,
color = "black"
)
),
column(width = 6,
uiOutput("ac_button"),
uiOutput("expcalcu"))
),
br(),
br(),
fluidRow(column(width = 11,
uiOutput("scenario_opts"))),
br(),
fluidRow(column(width = 11,
uiOutput("credit_loss"))),
fluidRow(column(width = 11,
uiOutput("dlmanager")))
)

8
.Rproj.user/178A6739/sources/session-99529da2/FE6BB309
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@@ -12,15 +12,15 @@
"properties": {
"source_window_id": "",
"Source": "Source",
"cursorPosition": "36,2",
"scrollLine": "0"
"cursorPosition": "140,7",
"scrollLine": "121"
},
"folds": "",
"lastKnownWriteTime": 1686047140,
"lastKnownWriteTime": 1686049083,
"encoding": "UTF-8",
"collab_server": "",
"source_window": "",
"last_content_update": 1686047140357,
"last_content_update": 1686049083340,
"read_only": false,
"read_only_alternatives": []
}

5
.Rproj.user/178A6739/sources/session-99529da2/FE6BB309-contents
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@@ -20,11 +20,12 @@ library(stringr)
options(shiny.reactlog = TRUE, appDir = getwd())
source("mod_basic.R")
source("panel.R")
# source("mod_basic.R")
# source("secretary.R")
# source("forplumber.R")
# source("modals.R")
source("modals.R")
# Adding initial data

24
.Rproj.user/178A6739/sources/session-99529da2/FEF97A26 Normal file
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@@ -0,0 +1,24 @@
{
"id": "FEF97A26",
"path": "~/Projects/LoanRisk/mod_basic.R",
"project_path": "mod_basic.R",
"type": "r_source",
"hash": "1266759796",
"contents": "",
"dirty": false,
"created": 1686047786220.0,
"source_on_save": false,
"relative_order": 3,
"properties": {
"source_window_id": "",
"Source": "Source"
},
"folds": "",
"lastKnownWriteTime": 1637757473,
"encoding": "UTF-8",
"collab_server": "",
"source_window": "",
"last_content_update": 1637757473,
"read_only": false,
"read_only_alternatives": []
}

141
.Rproj.user/178A6739/sources/session-99529da2/FEF97A26-contents Normal file
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@@ -0,0 +1,141 @@
# Module for a graph
# Module to show some stats
basicstatUI <- function(id) {
ns <- NS(id)
fluidRow(
h3("No of Assets"),
br(),
p(
"This section shows some basic information about the portfolio."
),
plotOutput(ns("statplot")),
verbatimTextOutput(ns("balancetext"))
)
}
basicstatServer <- function(id, dt) {
moduleServer(id,
function(input, output, session) {
df <- reactive({
dt %>%
ungroup() %>%
arrange(id, report_date) %>%
group_by(id) %>%
slice_max(report_date, n = 1) %>%
mutate(yr = lubridate::year(origination_date))
})
output$statplot <- renderPlot({
req(!is.null(df))
withProgress(message = "Plotting some graphs",
detail = "Won't take long",
value = 0,
{
setProgress(value = 1, message = "1 of 3..")
p1 <-
df() %>%
group_by(yr, loan_status) %>%
summarise(no_of_loans = n()) %>%
ungroup() %>%
ggplot(aes(
x = yr,
y = no_of_loans,
label = no_of_loans,
fill = factor(
loan_status,
levels = c("0", "1"),
labels = c("Good", "Bad")
)
)) +
geom_col(position = "dodge") +
geom_text(aes(y = no_of_loans + 20), position = position_dodge(width = 1)) +
labs(title = "No. of assets by year",
x = "Year",
y = "#") +
theme_bw() +
theme(legend.position = "none")
setProgress(value = 2, message = "2 of 3..")
p2 <-
df() %>%
group_by(asset_type, loan_status) %>%
summarise(no_of_loans = n()) %>%
ungroup() %>%
ggplot(aes(
x = asset_type,
y = no_of_loans,
label = no_of_loans,
fill = factor(
loan_status,
levels = c("0", "1"),
labels = c("Good", "Bad")
)
)) +
geom_col(position = "dodge") +
geom_text(aes(y = no_of_loans + 20), position = position_dodge(width = 1)) +
labs(title = "No. of assets by asset type",
x = "Asset Type",
y = "#") +
theme_bw() +
theme(legend.position = "none")
setProgress(value = 3, message = "3 of 3..")
p3 <-
df() %>%
group_by(customer_type, loan_status) %>%
summarise(no_of_loans = n()) %>%
ungroup() %>%
ggplot(
aes(
x = customer_type,
y = no_of_loans,
label = no_of_loans,
fill = factor(
loan_status,
levels = c("0", "1"),
labels = c("Good", "Bad")
)
)
) +
geom_col(position = "dodge") +
geom_text(aes(y = no_of_loans + 20), position = position_dodge(width = 1)) +
labs(title = "No. of assets by customer type",
x = "Customer Type",
y = "#") +
theme_bw() +
theme(legend.position = "bottom",
legend.title = element_blank())
setProgress(value = 4, message = "Patching..")
p4 <- p1 / (p2 | p3)
setProgress(value = 5, message = "Done..")
})
p4
})
output$balancetext <- renderText({
paste0(
"Total assets (no.): ",
length(unique(df()$id)) ,
"\n",
"Total balance outstanding: ",
round(sum(df()$balance) / 1000000, 2),
" M"
)
})
})
}