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TCMN_portfolio_PDF.R
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TCMN_portfolio_PDF.R
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# TCMN projects portfolio and country representatives ----------------------------
# # Country projects table ----------------
# projectsTable <- function(couName){
#
# cou <- .getCountryCode(couName)
# couISO2 <- .getISO2(couName)
#
# ### IBRD T&C projects -----------------
# dataTC <- .filterTCProjects(couName)
# # select relevant variables
# dataTC <- select(dataTC, PROJ_ID, Prod_Line, Project_Name = PROJ_SHORT_NME,
# Approval_Date = BD_APPRVL_DATE, Project_Status = PROJECT_STATUS_NME,
# Major_Sector = MAJORSECTOR_NAME1,
# Major_Theme = MAJORTHEME_NAME1,Project_Amount, ProjectOrder)
# # filter by date range
# dataTC <- filter(dataTC, (Approval_Date >= fromDate) & (Approval_Date <= toDate))
# # arrange
# dataTC <- arrange(as.data.frame(dataTC), desc(Prod_Line), ProjectOrder)
# dataTC <- select(dataTC,-ProjectOrder) # drop ProjectOrder
#
# ### IFC projects ----------
# dataIFC <- .filterIFCProjects(couName)
# # keep relevant columns
# dataIFC <- select(dataIFC, PROJ_ID, Prod_Line, Project_Name = PROJECT_NAME,
# Approval_Date = ASIP_APPROVAL_DATE, Project_Status, Project_Amount = TOTAL_FUNDS_MANAGED_BY_IFC,
# ProjectOrder
# )
# # remove duplicates
# dataIFC <- dataIFC[!duplicated(dataIFC$PROJ_ID),]
# # projects within 3 fiscal years in the past
# dataIFC <- filter(dataIFC, (Approval_Date >= fromDate) & (Approval_Date <= toDate)) #select country
#
# # arrange
# dataIFC <- arrange(as.data.frame(dataIFC), ProjectOrder)
# dataIFC <- select(dataIFC,-ProjectOrder) # drop ProjectOrder
#
# # Append both ----------------------
# data <- rbind_list(dataTC, dataIFC)
# # remove duplicates
# data <- data[!duplicated(data$PROJ_ID),]
# # format Amount
# data$Project_Amount <- format(data$Project_Amount, digits=0, decimal.mark=".",
# big.mark=",",small.mark=".", small.interval=3)
#
# # substitute NAs for "---" em-dash
# data[is.na(data)] <- "---"
# names(data) <- c("Project ID","Line", "Project Name", "Approval Date", "Status", "Major Sector", "Major Theme", "Amount (in US\\$)")
#
# return(data)
# }
#############
## ---- testRMD ----
#x <- rnorm(100)
#y <- rnorm(100)
#plot(x,y)
## ---- lendingPipeline ----
projectsTableLendingPipeline <- function(couName){
cou <- .getCountryCode(couName)
couISO2 <- .getISO2(couName)
#fromDate <- as.character(dateRange[[1]])
#toDate <- as.character(dateRange[[2]])
### IBRD T&C projects -----------------
dataTC <- .filterTCProjects(couName)
# select relevant variables
dataTC <- select(dataTC, PROJ_ID, Prod_Line, Project_Name = PROJ_SHORT_NME,
Team_Leader = FULL_NME, Approval_Date = BD_APPRVL_DATE,
Lending_Inst_Type = LENDING_INSTR_TYPE_NME,
Begin_Appraisal = BEGIN_APPRAISAL_DATE,Project_Amount,
Latest_Sort = rate_indicator, FY_Expenses = CURRENT_FY_COST,
Cum_Expenses = CUMULATIVE_FY_COST,FY_Prob = FY_PROB_TYPE_CODE,
ProjectOrder,url)
# Financing products in Pipeline (ProjectOrder==2)
dataTC <- filter(dataTC, Prod_Line == "Financing" & ProjectOrder==2)
count_ibrd <- nrow(dataTC) # will determine the size of the table
# filter by date range
#dataTC <- filter(dataTC, (Approval_Date >= fromDate) & (Approval_Date <= toDate))
# arrange
dataTC <- arrange(as.data.frame(dataTC), desc(Approval_Date))
dataTC <- select(dataTC,-ProjectOrder, -Prod_Line)
# remove duplicates
data <- dataTC[!duplicated(dataTC$PROJ_ID),]
# Attach a link to Project ID
#data <- mutate(data, PROJ_ID =
# paste0('<a href=',url,'>',PROJ_ID,'</a>'))
data <- select(data, -url)
# scale Expenses to thousands
data$FY_Expenses <- data$FY_Expenses/1000
data$Cum_Expenses <- data$Cum_Expenses/1000
# format Amount
data$Project_Amount <- format(data$Project_Amount, digits=0, decimal.mark=".",
big.mark=",",small.mark=".", small.interval=3)
data$FY_Expenses <- format(data$FY_Expenses, digits=0, decimal.mark=".",
big.mark=",",small.mark=".", small.interval=3)
data$Cum_Expenses <- format(data$Cum_Expenses, digits=0, decimal.mark=".",
big.mark=",",small.mark=".", small.interval=3)
# substitute NAs for "---" em-dash
data[is.na(data)] <- "---"
nrow <- nrow(data)
data <- sapply(data, function(x) gsub("NA", "---", x, fixed=TRUE))
if (nrow==1){
data <- as.data.frame(t(data))
} else{
data <- as.data.frame(data)
}
# escape reserved characters
data$Project_Name <- gsub("%", "\\%", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("&", "\\&", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("_", "\\_", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("#", "\\#", data$Project_Name, fixed=TRUE)
# If table is empty show "None"
if (nrow(data)==0){
data <- rbind(data,c("None",rep("",ncol(dataTC)-2)))
}
names(data) <- c("Project ID", "Project Name", "Team Leader", "Approval Date", "Lending Inst. Type",
"Begin Appraisal", "Commitment (US\\$M)","Latest Sort Overall Risk Rating","FY Expenses (US\\$K)",
"Cum Expenses (US\\$K)","FY Prob")
# I have to add a dummy column so the alignment works (align)
data$dummy <- rep("",nrow(data))
names(data)[ncol(data)] <- ""
data.table <- xtable(data, digits=rep(0,ncol(data)+1)) #control decimals
align(data.table) <- c('l','l','>{\\raggedright}p{1in}','>{\\raggedright}p{1in}',rep('>{\\raggedright}p{0.5in}',3),'>{\\raggedright}p{0.6in}',rep('>{\\raggedright}p{0.5in}',2),rep('>{\\raggedleft}p{0.5in}',2),'l')
if (count_ibrd>6){ # squeeze tables in case they are too long
print(data.table, include.rownames=FALSE,include.colnames=TRUE, floating=FALSE,
size="\\scriptsize", scalebox = 0.85,
booktabs = FALSE, table.placement="", hline.after = c(0) ,latex.environments = "center",
sanitize.text.function = function(x){x} # include sanitize to control formats
)
} else{
print(data.table, include.rownames=FALSE,include.colnames=TRUE, floating=FALSE,
size="\\footnotesize", scalebox = 0.85,
booktabs = FALSE, table.placement="", hline.after = c(0) ,latex.environments = "center",
sanitize.text.function = function(x){x} # include sanitize to control formats
)
}
}
projectsTableLendingPipeline(couName)
## ---- portfolioActive ----
projectsTablePortfolioActive <- function(couName){
cou <- .getCountryCode(couName)
couISO2 <- .getISO2(couName)
#fromDate <- as.character(dateRange[[1]])
#toDate <- as.character(dateRange[[2]])
### IBRD T&C projects -----------------
dataTC <- .filterTCProjects(couName)
# select relevant variables
dataTC <- select(dataTC, PROJ_ID, Prod_Line, Project_Name = PROJ_SHORT_NME,
Team_Leader = FULL_NME, Approval_Date = BD_APPRVL_DATE,
Lending_Inst_Type = LENDING_INSTR_TYPE_NME,
Closing_Date = REVISED_CLS_DATE,Project_Amount,
Undisb_Bal = total_undis_balance,DO_RATING, IP_RATING,
Latest_Sort = rate_indicator,
Months_Problem = No_of_Months_in_problem_status,
ProjectOrder,url)
# Financing products in Active (ProjectOrder==1)
dataTC <- filter(dataTC, Prod_Line == "Financing" & ProjectOrder==1 & !(is.na(Approval_Date)))
count_ibrd <- nrow(dataTC) # will determine the size of the table
# filter by date range
#dataTC <- filter(dataTC, (Approval_Date >= fromDate) & (Approval_Date <= toDate))
# arrange
dataTC <- arrange(as.data.frame(dataTC), desc(Approval_Date))
dataTC <- select(dataTC,-ProjectOrder, -Prod_Line)
# remove duplicates
data <- dataTC[!duplicated(dataTC$PROJ_ID),]
# Attach a link to Project ID
#data <- mutate(data, PROJ_ID =
# paste0('<a href=',url,'>',PROJ_ID,'</a>'))
data <- select(data, -url)
# scale Expenses to thousands
data$Undisb_Bal <- data$Undisb_Bal/1000000
# format Amount
data$Project_Amount <- format(data$Project_Amount, digits=0, decimal.mark=".",
big.mark=",",small.mark=".", small.interval=3)
data$Undisb_Bal <- format(data$Undisb_Bal, digits=0, decimal.mark=".",
big.mark=",",small.mark=".", small.interval=3)
data$Months_Problem <- format(data$Months_Problem, digits=1, decimal.mark=".",
big.mark=",",small.mark=".", small.interval=3)
# substitute NAs for "---" em-dash
data[is.na(data)] <- "---"
nrow <- nrow(data)
data <- sapply(data, function(x) gsub("NA", "---", x, fixed=TRUE))
if (nrow==1){
data <- as.data.frame(t(data))
} else{
data <- as.data.frame(data)
}
# escape reserved characters
data$Project_Name <- gsub("%", "\\%", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("&", "\\&", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("_", "\\_", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("#", "\\#", data$Project_Name, fixed=TRUE)
# If table is empty show "None"
if (nrow(data)==0){
data <- rbind(data,c("None",rep("",ncol(dataTC)-2)))
}
names(data) <- c("Project ID", "Project Name", "Team Leader", "Approval Date", "Lending Inst. Type",
"Closing Date", "Commitment (US\\$M)","Undisbursed Balance (US\\$M)",
"Project Rating DO", "Project Rating IP","Overall Risk",
"Months in Problem Status")
# I have to add a dummy column so the alignment works (align)
data$dummy <- rep("",nrow(data))
names(data)[ncol(data)] <- ""
data.table <- xtable(data, digits=rep(0,ncol(data)+1)) #control decimals
align(data.table) <- c('l','l','>{\\raggedright}p{1in}','>{\\raggedright}p{1in}',rep('>{\\raggedright}p{0.5in}',3),rep('>{\\raggedleft}p{0.5in}',2),rep('>{\\raggedright}p{0.4in}',3),'>{\\raggedleft}p{0.4in}','l')
if (count_ibrd>6){ # squeeze tables in case they are too long
print(data.table, include.rownames=FALSE,include.colnames=TRUE, floating=FALSE,
size="\\scriptsize", scalebox = 0.85,
booktabs = FALSE, table.placement="", hline.after = c(0) ,latex.environments = "center",
sanitize.text.function = function(x){x} # include sanitize to control formats
)
} else{
print(data.table, include.rownames=FALSE,include.colnames=TRUE, floating=FALSE,
size="\\footnotesize", scalebox = 0.85,
booktabs = FALSE, table.placement="", hline.after = c(0) ,latex.environments = "center",
sanitize.text.function = function(x){x} # include sanitize to control formats
)
}
}
projectsTablePortfolioActive(couName)
## ---- portfolioClosed ----
projectsTablePortfolioClosed <- function(couName){
cou <- .getCountryCode(couName)
couISO2 <- .getISO2(couName)
#fromDate <- as.character(dateRange[[1]])
#toDate <- as.character(dateRange[[2]])
### IBRD T&C projects -----------------
dataTC <- .filterTCProjects(couName)
# select relevant variables
dataTC <- select(dataTC, PROJ_ID, Prod_Line, Project_Name = PROJ_SHORT_NME,
Team_Leader = FULL_NME, Approval_Date = BD_APPRVL_DATE,
Lending_Inst_Type = LENDING_INSTR_TYPE_NME,
Closing_Date = REVISED_CLS_DATE,Project_Amount,
DO_RATING, IP_RATING, ieg_Outcome,
ProjectOrder,url)
# Financing products in Closed (ProjectOrder==3)
dataTC <- filter(dataTC, Prod_Line == "Financing" & ProjectOrder==3)
# compute IEG_Ouctome codes:
dataTC <- mutate(dataTC, ieg_Outcome = ifelse(is.na(ieg_Outcome),"---",
ifelse(substr(ieg_Outcome,1,1)=="H",
ifelse(substr(ieg_Outcome,8,8)=="S","HS","HU"),
ifelse(substr(ieg_Outcome,1,1)=="M",
ifelse(substr(ieg_Outcome,12,12)=="S","MS","MU"),
ifelse(substr(ieg_Outcome,1,1)=="N",
ifelse(substr(ieg_Outcome,5,6)=="AP","NAP",ifelse(substr(ieg_Outcome,5,6)=="AV","NA","NR")),
substr(ieg_Outcome,1,2))))))
# filter by date range. Last 2 years
dataTC <- filter(dataTC, (Closing_Date >= (Sys.Date() - 730)) | (is.na(Closing_Date)))
count_ibrd <- nrow(dataTC) # will determine the size of the table
# arrange
dataTC <- arrange(as.data.frame(dataTC), desc(Closing_Date),desc(Approval_Date))
dataTC <- select(dataTC,-ProjectOrder, -Prod_Line)
# remove duplicates
data <- dataTC[!duplicated(dataTC$PROJ_ID),]
# Attach a link to Project ID
#data <- mutate(data, PROJ_ID =
# paste0('<a href=',url,'>',PROJ_ID,'</a>'))
data <- select(data, -url)
# format Amount
data$Project_Amount <- format(data$Project_Amount, digits=0, decimal.mark=".",
big.mark=",",small.mark=".", small.interval=3)
# substitute NAs for "---" em-dash
data[is.na(data)] <- "---"
nrow <- nrow(data)
data <- sapply(data, function(x) gsub("NA", "---", x, fixed=TRUE))
if (nrow==1){
data <- as.data.frame(t(data))
} else{
data <- as.data.frame(data)
}
# escape reserved characters
data$Project_Name <- gsub("%", "\\%", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("&", "\\&", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("_", "\\_", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("#", "\\#", data$Project_Name, fixed=TRUE)
# If table is empty show "None"
if (nrow(data)==0){
data <- rbind(data,c("None",rep("",ncol(dataTC)-2)))
}
#
names(data) <- c("Project ID", "Project Name", "Team Leader", "Approval Date", "Lending Inst. Type",
"Closing Date", "Commitment (US\\$M)",
"Project Rating DO", "Project Rating IP", "IEG Outcome Rating")
# I have to add a dummy column so the alignment works (align)
data$dummy <- rep("",nrow(data))
names(data)[ncol(data)] <- ""
data.table <- xtable(data, digits=rep(0,ncol(data)+1)) #control decimals
align(data.table) <- c('l','l','>{\\raggedright}p{1.5in}','>{\\raggedright}p{1in}',rep('>{\\raggedright}p{0.5in}',3),'>{\\raggedleft}p{0.6in}',rep('>{\\raggedright}p{0.5in}',3),'l')
if (count_ibrd>6){ # squeeze tables in case they are too long
print(data.table, include.rownames=FALSE,include.colnames=TRUE, floating=FALSE,
size="\\scriptsize", scalebox = 0.85,
booktabs = FALSE, table.placement="", hline.after = c(0) ,latex.environments = "center",
sanitize.text.function = function(x){x} # include sanitize to control formats
)
} else{
print(data.table, include.rownames=FALSE,include.colnames=TRUE, floating=FALSE,
size="\\footnotesize", scalebox = 0.85,
booktabs = FALSE, table.placement="", hline.after = c(0) ,latex.environments = "center",
sanitize.text.function = function(x){x} # include sanitize to control formats
)
}
}
projectsTablePortfolioClosed(couName)
## ---- ASAActive ----
projectsTableASAActive <- function(couName){
cou <- .getCountryCode(couName)
couISO2 <- .getISO2(couName)
#fromDate <- as.character(dateRange[[1]])
#toDate <- as.character(dateRange[[2]])
### IBRD T&C projects -----------------
dataTC <- .filterTCProjects(couName)
# select relevant variables
dataTC <- select(dataTC, PROJ_ID, Project_Name = PROJ_SHORT_NME,
Team_Leader = FULL_NME, Concept_Appr_Date = MGT_APPR_CONCEPT_DATE,
Approval_Date = BD_APPRVL_DATE,
Prod_Line, PROD_LINE_CODE, RAS, Current_ExpBB = CURRENT_BB_COST,
FY_Expenses = CURRENT_FY_COST, Cum_ExpBB = CUMULATIVE_BB_COST,
Cum_Expenses = CUMULATIVE_FY_COST,
ProjectOrder,url)
# AAA in Active (ProjectOrder==1)
dataTC <- filter(dataTC, Prod_Line %in% c("Advisory Services and Analytics (ASA) IBRD","STANDARD PRODUCT")
& ProjectOrder==1 & !(is.na(Approval_Date)))
count_ibrd <- nrow(dataTC) # will determine the size of the table
# filter by date range
#dataTC <- filter(dataTC, (Approval_Date >= fromDate) & (Approval_Date <= toDate))
# arrange
dataTC <- arrange(as.data.frame(dataTC), desc(Approval_Date))
dataTC <- select(dataTC,-ProjectOrder,-Prod_Line)
# remove duplicates
data <- dataTC[!duplicated(dataTC$PROJ_ID),]
# Attach a link to Project ID
data <- as.data.frame(data)
#data <- mutate(data, PROJ_ID =
# paste0('<a href=',url,'>',PROJ_ID,'</a>'))
data <- select(data, -url)
# scale Expenses to thousands
data$Current_ExpBB <- data$Current_ExpBB/1000
data$Cum_ExpBB <- data$Cum_ExpBB/1000
data$FY_Expenses <- data$FY_Expenses/1000
data$Cum_Expenses <- data$Cum_Expenses/1000
# format Amount
data$FY_Expenses <- format(data$FY_Expenses, digits=0, decimal.mark=".",
big.mark=",",small.mark=".", small.interval=3)
data$Cum_Expenses <- format(data$Cum_Expenses, digits=0, decimal.mark=".",
big.mark=",",small.mark=".", small.interval=3)
data$Current_ExpBB <- format(data$Current_ExpBB, digits=0, decimal.mark=".",
big.mark=",",small.mark=".", small.interval=3)
data$Cum_ExpBB <- format(data$Cum_ExpBB, digits=0, decimal.mark=".",
big.mark=",",small.mark=".", small.interval=3)
# substitute NAs for "---" em-dash
data[is.na(data)] <- "---"
nrow <- nrow(data)
data <- sapply(data, function(x) gsub("NA", "---", x, fixed=TRUE))
if (nrow==1){
data <- as.data.frame(t(data))
} else{
data <- as.data.frame(data)
}
# escape reserved characters
data$Project_Name <- gsub("%", "\\%", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("&", "\\&", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("_", "\\_", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("#", "\\#", data$Project_Name, fixed=TRUE)
# If table is empty show "None"
if (nrow(data)==0){
data <- rbind(data,c("None",rep("",ncol(dataTC)-2)))
}
names(data) <- c("Task ID", "Task Name", "Team Leader", "Concept Approval Date", "Output Approval Date",
"Product Line","RAS (Y/N)","Current Expenditure BB (US\\$K)", "Current Expenditure Total (US\\$K)",
"Lifetime Expenditure BB (US\\$K)","Lifetime Expenditure Total (US\\$K)")
# I have to add a dummy column so the alignment works (align)
data$dummy <- rep("",nrow(data))
names(data)[ncol(data)] <- ""
data.table <- xtable(data, digits=rep(0,ncol(data)+1)) #control decimals
align(data.table) <- c('l','l','>{\\raggedright}p{1in}','>{\\raggedright}p{1in}',rep('>{\\raggedright}p{0.6in}',2),rep('>{\\raggedright}p{0.4in}',2),rep('>{\\raggedleft}p{0.6in}',4),'l')
if (count_ibrd>6){ # squeeze tables in case they are too long
print(data.table, include.rownames=FALSE,include.colnames=TRUE, floating=FALSE,
size="\\scriptsize", scalebox = 0.85,
booktabs = FALSE, table.placement="", hline.after = c(0) ,latex.environments = "center",
sanitize.text.function = function(x){x} # include sanitize to control formats
)
} else{
print(data.table, include.rownames=FALSE,include.colnames=TRUE, floating=FALSE,
size="\\footnotesize", scalebox = 0.85,
booktabs = FALSE, table.placement="", hline.after = c(0) ,latex.environments = "center",
sanitize.text.function = function(x){x} # include sanitize to control formats
)
}
}
projectsTableASAActive(couName)
## ---- ASAClosed ----
projectsTableASAClosed <- function(couName){
cou <- .getCountryCode(couName)
couISO2 <- .getISO2(couName)
#fromDate <- as.character(dateRange[[1]])
#toDate <- as.character(dateRange[[2]])
### IBRD T&C projects -----------------
dataTC <- .filterTCProjects(couName)
# select relevant variables
dataTC <- select(dataTC, PROJ_ID, Project_Name = PROJ_SHORT_NME,
Team_Leader = FULL_NME, Concept_Appr_Date = MGT_APPR_CONCEPT_DATE,
Approval_Date = BD_APPRVL_DATE,
Prod_Line, PROD_LINE_CODE, RAS, Current_ExpBB = CURRENT_BB_COST,
FY_Expenses = CURRENT_FY_COST, Cum_ExpBB = CUMULATIVE_BB_COST,
Cum_Expenses = CUMULATIVE_FY_COST,
ProjectOrder,url)
# AAA in Active (ProjectOrder==1)
dataTC <- filter(dataTC, Prod_Line %in% c("Advisory Services and Analytics (ASA) IBRD","STANDARD PRODUCT")
& ProjectOrder==3)
count_ibrd <- nrow(dataTC) # will determine the size of the table
# filter by date range
#dataTC <- filter(dataTC, (Approval_Date >= fromDate) & (Approval_Date <= toDate))
# arrange
dataTC <- arrange(as.data.frame(dataTC), desc(Approval_Date))
dataTC <- select(dataTC,-ProjectOrder, -Prod_Line)
# remove duplicates
data <- dataTC[!duplicated(dataTC$PROJ_ID),]
# Attach a link to Project ID
data <- as.data.frame(data)
#data <- mutate(data, PROJ_ID =
# paste0('<a href=',url,'>',PROJ_ID,'</a>'))
data <- select(data, -url)
# scale Expenses to thousands
data$Current_ExpBB <- data$Current_ExpBB/1000
data$Cum_ExpBB <- data$Cum_ExpBB/1000
data$FY_Expenses <- data$FY_Expenses/1000
data$Cum_Expenses <- data$Cum_Expenses/1000
# format Amount
data$FY_Expenses <- format(data$FY_Expenses, digits=0, decimal.mark=".",
big.mark=",",small.mark=".", small.interval=3)
data$Cum_Expenses <- format(data$Cum_Expenses, digits=0, decimal.mark=".",
big.mark=",",small.mark=".", small.interval=3)
data$Current_ExpBB <- format(data$Current_ExpBB, digits=0, decimal.mark=".",
big.mark=",",small.mark=".", small.interval=3)
data$Cum_ExpBB <- format(data$Cum_ExpBB, digits=0, decimal.mark=".",
big.mark=",",small.mark=".", small.interval=3)
# substitute NAs for "---" em-dash
data[is.na(data)] <- "---"
nrow <- nrow(data)
data <- sapply(data, function(x) gsub("NA", "---", x, fixed=TRUE))
if (nrow==1){
data <- as.data.frame(t(data))
} else{
data <- as.data.frame(data)
}
# escape reserved characters
data$Project_Name <- gsub("%", "\\%", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("&", "\\&", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("_", "\\_", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("#", "\\#", data$Project_Name, fixed=TRUE)
# If table is empty show "None"
if (nrow(data)==0){
data <- rbind(data,c("None",rep("",ncol(dataTC)-2)))
}
names(data) <- c("Task ID", "Task Name", "Team Leader", "Concept Approval Date", "Output Approval Date",
"Product Line","RAS (Y/N)","Current Expenditure BB (US\\$K)", "Current Expenditure Total (US\\$K)",
"Lifetime Expenditure BB (US\\$K)","Lifetime Expenditure Total (US\\$K)")
# I have to add a dummy column so the alignment works (align)
data$dummy <- rep("",nrow(data))
names(data)[ncol(data)] <- ""
data.table <- xtable(data, digits=rep(0,ncol(data)+1)) #control decimals
align(data.table) <- c('l','l','>{\\raggedright}p{1in}','>{\\raggedright}p{1in}',rep('>{\\raggedright}p{0.6in}',2),rep('>{\\raggedright}p{0.4in}',2),rep('>{\\raggedleft}p{0.6in}',4),'l')
if (count_ibrd>6){ # squeeze tables in case they are too long
print(data.table, include.rownames=FALSE,include.colnames=TRUE, floating=FALSE,
size="\\scriptsize", scalebox = 0.85,
booktabs = FALSE, table.placement="", hline.after = c(0) ,latex.environments = "center",
sanitize.text.function = function(x){x} # include sanitize to control formats
)
} else{
print(data.table, include.rownames=FALSE,include.colnames=TRUE, floating=FALSE,
size="\\footnotesize", scalebox = 0.85,
booktabs = FALSE, table.placement="", hline.after = c(0) ,latex.environments = "center",
sanitize.text.function = function(x){x} # include sanitize to control formats
)
}
}
projectsTableASAClosed(couName)
## ---- ASA_IFCActive ----
projectsTableASA_IFC <- function(couName, status){
cou <- .getCountryCode(couName)
couISO2 <- .getISO2(couName)
#fromDate <- as.character(dateRange[[1]])
#toDate <- as.character(dateRange[[2]])
pOrder <- ifelse(status=="Active",1,ifelse(status=="Closed",3,2))
### IFC projects ----------
dataIFC <- .filterIFCProjects(couName)
# keep relevant columns
dataIFC <- select(dataIFC, PROJ_ID, Project_Name = PROJECT_NAME,
Team_Leader = PROJECT_LEADER, PRODUCT_NAME, ClassType = PROJECT_CLASSIFICATION_TYPE,
Approval_Date = ASIP_APPROVAL_DATE, Closing_Date = IMPLEMENTATION_END_DATE,
Project_Status, Project_Amount = TOTAL_FUNDING, ITD_EXPENDITURES,
Current_Exp = PRORATED_TOTAL_FYTD_EXPENSE, ProjectOrder,url,Hold)
dataIFC <- filter(dataIFC, ProjectOrder == pOrder)
#dataIFC <- filter(dataIFC, (Approval_Date >= fromDate) & (Approval_Date <= toDate)) #select country
count_ifc <- nrow(dataIFC) # will determine the size of the table
# arrange
dataIFC <- arrange(as.data.frame(dataIFC), desc(Approval_Date))
dataIFC <- select(dataIFC,-ProjectOrder, -Project_Status) # drop ProjectOrder
# remove duplicates
data <- dataIFC[!duplicated(paste0(dataIFC$PROJ_ID,dataIFC$PRODUCT_NAME)),]
# add amounts per PROJ_ID
data <- data %>%
group_by(PROJ_ID) %>%
mutate(Project_Amount = sum(Project_Amount, na.rm=TRUE),
ITD_EXPENDITURES = sum(ITD_EXPENDITURES, na.rm=TRUE),
Current_Exp = sum(Current_Exp, na.rm=TRUE))
data <- data[!duplicated(data$PROJ_ID),]
data <- select(data,-PRODUCT_NAME, -ClassType) # drop Product and class info
# Scale amounts
data$Project_Amount <- data$Project_Amount/1000
data$Current_Exp <- data$Current_Exp/1000
data$ITD_EXPENDITURES <- data$ITD_EXPENDITURES/1000
data <- mutate(as.data.frame(data), PROJ_ID = ifelse(Hold == "Y",
paste0(PROJ_ID,' (Hold)'),
PROJ_ID))
data <- select(data, -url, -Hold)
# format Amount
data$Project_Amount <- format(data$Project_Amount, digits=0, decimal.mark=".",
big.mark=",",small.mark=".", small.interval=3)
data$Current_Exp <- format(data$Current_Exp, digits=0, decimal.mark=".",
big.mark=",",small.mark=".", small.interval=3)
data$ITD_EXPENDITURES <- format(data$ITD_EXPENDITURES, digits=0, decimal.mark=".",
big.mark=",",small.mark=".", small.interval=3)
# substitute NAs for "---" em-dash
data[is.na(data)] <- "---"
nrow <- nrow(data)
data <- sapply(data, function(x) gsub("NA", "---", x, fixed=TRUE))
if (nrow==1){
data <- as.data.frame(t(data))
} else{
data <- as.data.frame(data)
}
# escape reserved characters
data$Project_Name <- gsub("%", "\\%", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("&", "\\&", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("_", "\\_", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("#", "\\#", data$Project_Name, fixed=TRUE)
# If table is empty show "None"
if (nrow(data)==0){
data <- rbind(data,c("None",rep("",ncol(data)-1)))
}
names(data) <- c("Project ID", "Project Name", "Team Leader","IP Approval Date",
"Expected End Date","Approval Value (in US\\$K)", "Total Expenditures (in US\\$K)", "Current FY Expenditure (in US\\$K)")
# I have to add a dummy column so the alignment works (align)
data$dummy <- rep("",nrow(data))
names(data)[ncol(data)] <- ""
data.table <- xtable(data, digits=rep(0,ncol(data)+1)) #control decimals
align(data.table) <- c('l','l','>{\\raggedright}p{1.6in}','>{\\raggedright}p{1.5in}',rep('>{\\raggedright}p{0.7in}',2),rep('>{\\raggedleft}p{0.7in}',3),'l')
if (count_ifc>6){ # squeeze tables in case they are too long
print(data.table, include.rownames=FALSE,include.colnames=TRUE, floating=FALSE,
size="\\scriptsize", scalebox = 0.85,
booktabs = FALSE, table.placement="", hline.after = c(0) ,latex.environments = "center",
sanitize.text.function = function(x){x} # include sanitize to control formats
)
} else{
print(data.table, include.rownames=FALSE,include.colnames=TRUE, floating=FALSE,
size="\\footnotesize", scalebox = 0.85,
booktabs = FALSE, table.placement="", hline.after = c(0) ,latex.environments = "center",
sanitize.text.function = function(x){x} # include sanitize to control formats
)
}
}
projectsTableASA_IFC(couName,"Active")
## ---- ASA_IFCClosed ----
projectsTableASA_IFC <- function(couName, status){
cou <- .getCountryCode(couName)
couISO2 <- .getISO2(couName)
#fromDate <- as.character(dateRange[[1]])
#toDate <- as.character(dateRange[[2]])
pOrder <- ifelse(status=="Active",1,ifelse(status=="Closed",3,2))
### IFC projects ----------
dataIFC <- .filterIFCProjects(couName)
# keep relevant columns
dataIFC <- select(dataIFC, PROJ_ID, Project_Name = PROJECT_NAME,
Team_Leader = PROJECT_LEADER, PRODUCT_NAME, ClassType = PROJECT_CLASSIFICATION_TYPE,
Approval_Date = ASIP_APPROVAL_DATE, Closing_Date = IMPLEMENTATION_END_DATE,
Project_Status, Project_Amount = TOTAL_FUNDING, ITD_EXPENDITURES,
Current_Exp = PRORATED_TOTAL_FYTD_EXPENSE, ProjectOrder,url,Hold)
dataIFC <- filter(dataIFC, ProjectOrder == pOrder)
#dataIFC <- filter(dataIFC, (Approval_Date >= fromDate) & (Approval_Date <= toDate)) #select country
count_ifc <- nrow(dataIFC) # will determine the size of the table
# arrange
dataIFC <- arrange(as.data.frame(dataIFC), desc(Approval_Date))
dataIFC <- select(dataIFC,-ProjectOrder, -Project_Status) # drop ProjectOrder
# remove duplicates
data <- dataIFC[!duplicated(paste0(dataIFC$PROJ_ID,dataIFC$PRODUCT_NAME)),]
# add amounts per PROJ_ID
data <- data %>%
group_by(PROJ_ID) %>%
mutate(Project_Amount = sum(Project_Amount, na.rm=TRUE),
ITD_EXPENDITURES = sum(ITD_EXPENDITURES, na.rm=TRUE),
Current_Exp = sum(Current_Exp, na.rm=TRUE))
data <- data[!duplicated(data$PROJ_ID),]
data <- select(data,-PRODUCT_NAME, -ClassType) # drop Product and class info
# Scale amounts
data$Project_Amount <- data$Project_Amount/1000
data$Current_Exp <- data$Current_Exp/1000
data$ITD_EXPENDITURES <- data$ITD_EXPENDITURES/1000
data <- mutate(as.data.frame(data), PROJ_ID = ifelse(Hold == "Y",
paste0(PROJ_ID,' (Hold)'),
PROJ_ID))
data <- select(data, -url, -Hold)
# format Amount
data$Project_Amount <- format(data$Project_Amount, digits=0, decimal.mark=".",
big.mark=",",small.mark=".", small.interval=3)
data$Current_Exp <- format(data$Current_Exp, digits=0, decimal.mark=".",
big.mark=",",small.mark=".", small.interval=3)
data$ITD_EXPENDITURES <- format(data$ITD_EXPENDITURES, digits=0, decimal.mark=".",
big.mark=",",small.mark=".", small.interval=3)
# substitute NAs for "---" em-dash
data[is.na(data)] <- "---"
nrow <- nrow(data)
data <- sapply(data, function(x) gsub("NA", "---", x, fixed=TRUE))
if (nrow==1){
data <- as.data.frame(t(data))
} else{
data <- as.data.frame(data)
}
# escape reserved characters
data$Project_Name <- gsub("%", "\\%", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("&", "\\&", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("_", "\\_", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("#", "\\#", data$Project_Name, fixed=TRUE)
# If table is empty show "None"
if (nrow(data)==0){
data <- rbind(data,c("None",rep("",ncol(data)-1)))
}
names(data) <- c("Project ID", "Project Name", "Team Leader","IP Approval Date",
"Expected End Date","Approval Value (in US\\$K)", "Total Expenditures (in US\\$K)", "Current FY Expenditure (in US\\$K)")
# I have to add a dummy column so the alignment works (align)
data$dummy <- rep("",nrow(data))
names(data)[ncol(data)] <- ""
data.table <- xtable(data, digits=rep(0,ncol(data)+1)) #control decimals
align(data.table) <- c('l','l','>{\\raggedright}p{1.6in}','>{\\raggedright}p{1.5in}',rep('>{\\raggedright}p{0.7in}',2),rep('>{\\raggedleft}p{0.7in}',3),'l')
if (count_ifc>6){ # squeeze tables in case they are too long
print(data.table, include.rownames=FALSE,include.colnames=TRUE, floating=FALSE,
size="\\scriptsize", scalebox = 0.85,
booktabs = FALSE, table.placement="", hline.after = c(0) ,latex.environments = "center",
sanitize.text.function = function(x){x} # include sanitize to control formats
)
} else{
print(data.table, include.rownames=FALSE,include.colnames=TRUE, floating=FALSE,
size="\\footnotesize", scalebox = 0.85,
booktabs = FALSE, table.placement="", hline.after = c(0) ,latex.environments = "center",
sanitize.text.function = function(x){x} # include sanitize to control formats
)
}
}
projectsTableASA_IFC(couName,"Closed")
## ---- ASA_IFCPipeline ----
projectsTableASA_IFC <- function(couName, status){
cou <- .getCountryCode(couName)
couISO2 <- .getISO2(couName)
#fromDate <- as.character(dateRange[[1]])
#toDate <- as.character(dateRange[[2]])
pOrder <- ifelse(status=="Active",1,ifelse(status=="Closed",3,2))
### IFC projects ----------
dataIFC <- .filterIFCProjects(couName)
# keep relevant columns
dataIFC <- select(dataIFC, PROJ_ID, Project_Name = PROJECT_NAME,
Team_Leader = PROJECT_LEADER, PRODUCT_NAME, ClassType = PROJECT_CLASSIFICATION_TYPE,
Approval_Date = ASIP_APPROVAL_DATE, Closing_Date = IMPLEMENTATION_END_DATE,
Project_Status, Project_Amount = TOTAL_FUNDING, ITD_EXPENDITURES,
Current_Exp = PRORATED_TOTAL_FYTD_EXPENSE, ProjectOrder,url,Hold)
dataIFC <- filter(dataIFC, ProjectOrder == pOrder)
#dataIFC <- filter(dataIFC, (Approval_Date >= fromDate) & (Approval_Date <= toDate)) #select country
count_ifc <- nrow(dataIFC) # will determine the size of the table
# arrange
dataIFC <- arrange(as.data.frame(dataIFC), desc(Approval_Date))
dataIFC <- select(dataIFC,-ProjectOrder, -Project_Status) # drop ProjectOrder
# remove duplicates
data <- dataIFC[!duplicated(paste0(dataIFC$PROJ_ID,dataIFC$PRODUCT_NAME)),]
# add amounts per PROJ_ID
data <- data %>%
group_by(PROJ_ID) %>%
mutate(Project_Amount = sum(Project_Amount, na.rm=TRUE),
ITD_EXPENDITURES = sum(ITD_EXPENDITURES, na.rm=TRUE),
Current_Exp = sum(Current_Exp, na.rm=TRUE))
data <- data[!duplicated(data$PROJ_ID),]
data <- select(data,-PRODUCT_NAME, -ClassType) # drop Product and class info
# Scale amounts
data$Project_Amount <- data$Project_Amount/1000
data$Current_Exp <- data$Current_Exp/1000
data$ITD_EXPENDITURES <- data$ITD_EXPENDITURES/1000
data <- mutate(as.data.frame(data), PROJ_ID = ifelse(Hold == "Y",
paste0(PROJ_ID,' (Hold)'),
PROJ_ID))
data <- select(data, -url, -Hold)
# format Amount
data$Project_Amount <- format(data$Project_Amount, digits=0, decimal.mark=".",
big.mark=",",small.mark=".", small.interval=3)
data$Current_Exp <- format(data$Current_Exp, digits=0, decimal.mark=".",
big.mark=",",small.mark=".", small.interval=3)
data$ITD_EXPENDITURES <- format(data$ITD_EXPENDITURES, digits=0, decimal.mark=".",
big.mark=",",small.mark=".", small.interval=3)
# substitute NAs for "---" em-dash
data[is.na(data)] <- "---"
nrow <- nrow(data)
data <- sapply(data, function(x) gsub("NA", "---", x, fixed=TRUE))
if (nrow==1){
data <- as.data.frame(t(data))
} else{
data <- as.data.frame(data)
}
# escape reserved characters
data$Project_Name <- gsub("%", "\\%", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("&", "\\&", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("_", "\\_", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("#", "\\#", data$Project_Name, fixed=TRUE)
# If table is empty show "None"
if (nrow(data)==0){
data <- rbind(data,c("None",rep("",ncol(data)-1)))
}
names(data) <- c("Project ID", "Project Name", "Team Leader","IP Approval Date",
"Expected End Date","Approval Value (in US\\$K)", "Total Expenditures (in US\\$K)", "Current FY Expenditure (in US\\$K)")
# I have to add a dummy column so the alignment works (align)
data$dummy <- rep("",nrow(data))
names(data)[ncol(data)] <- ""
data.table <- xtable(data, digits=rep(0,ncol(data)+1)) #control decimals
align(data.table) <- c('l','l','>{\\raggedright}p{1.6in}','>{\\raggedright}p{1.5in}',rep('>{\\raggedright}p{0.7in}',2),rep('>{\\raggedleft}p{0.7in}',3),'l')
if (count_ifc>6){ # squeeze tables in case they are too long
print(data.table, include.rownames=FALSE,include.colnames=TRUE, floating=FALSE,
size="\\scriptsize", scalebox = 0.85,
booktabs = FALSE, table.placement="", hline.after = c(0) ,latex.environments = "center",
sanitize.text.function = function(x){x} # include sanitize to control formats
)
} else{
print(data.table, include.rownames=FALSE,include.colnames=TRUE, floating=FALSE,
size="\\footnotesize", scalebox = 0.85,
booktabs = FALSE, table.placement="", hline.after = c(0) ,latex.environments = "center",
sanitize.text.function = function(x){x} # include sanitize to control formats
)
}
}
projectsTableASA_IFC(couName,"Pipeline")
## ---- mostRecentDocs ----
mostRecentDocuments <- function(couName){
cou <- .getCountryCode(couName)
couISO2 <- .getISO2(couName)
data <- filter(mostRecentDocs, CountryCodeISO3 == cou)
data <- select(data, Report, Date)
# escape reserved characters
data$Report <- gsub("%", "\\%", data$Report, fixed=TRUE)
data$Report <- gsub("&", "\\&", data$Report, fixed=TRUE)
data$Report <- gsub("_", "\\_", data$Report, fixed=TRUE)
data$Report <- gsub("#", "\\#", data$Report, fixed=TRUE)
# If table is empty show "None"
if (nrow(data)==0){
data <- rbind(data,c("None",""))
}
names(data) <- c("Product","Document Date")
# I have to add a dummy column so the alignment works (align)
data$dummy <- rep("",nrow(data))
names(data)[ncol(data)] <- ""
data.table <- xtable(data)#, digits=rep(0,ncol(data)+1)) #control decimals
align(data.table) <- c('l','>{\\raggedright}p{5in}',rep('l',2))
print(data.table, include.rownames=FALSE,include.colnames=TRUE, floating=FALSE,
scalebox = 0.85,
booktabs = FALSE, table.placement="", hline.after = c(0) ,latex.environments = "center",
sanitize.text.function = function(x){x} # include sanitize to control formats
)
}
mostRecentDocuments(couName)
## ---- plannedDocs ----
plannedDocuments <- function(couName){
cou <- .getCountryCode(couName)
couISO2 <- .getISO2(couName)
data <- filter(plannedDocs, CountryCodeISO3 == cou)
data <- select(data, Product, ConceptReviewDate, BoardDate)
# escape reserved characters
data$Product <- gsub("%", "\\%", data$Product, fixed=TRUE)
data$Product <- gsub("&", "\\&", data$Product, fixed=TRUE)
data$Product <- gsub("_", "\\_", data$Product, fixed=TRUE)
data$Product <- gsub("#", "\\#", data$Product, fixed=TRUE)
# If table is empty show "None"
if (nrow(data)==0){
data <- rbind(data,c("None",rep("",2)))
}
names(data) <- c("Product","Concept Review Date","Board Date")
# I have to add a dummy column so the alignment works (align)
data$dummy <- rep("",nrow(data))
names(data)[ncol(data)] <- ""
data.table <- xtable(data)#, digits=rep(0,ncol(data)+1)) #control decimals
align(data.table) <- c('l','>{\\raggedright}p{5in}',rep('l',3))
print(data.table, include.rownames=FALSE,include.colnames=TRUE, floating=FALSE,
scalebox = 0.85,
booktabs = FALSE, table.placement="", hline.after = c(0) ,latex.environments = "center",
sanitize.text.function = function(x){x} # include sanitize to control formats
)
}
plannedDocuments(couName)
## ---- financeTable ----
projectsTableFinancing <- function(couName){
cou <- .getCountryCode(couName)
couISO2 <- .getISO2(couName)
### IBRD T&C projects -----------------
dataTC <- .filterTCProjects(couName)
# select relevant variables
dataTC <- select(dataTC, PROJ_ID, Prod_Line, Project_Name = PROJ_SHORT_NME,
Approval_Date = BD_APPRVL_DATE, Project_Status = PROJECT_STATUS_NME,
Major_Sector = MAJORSECTOR_NAME1,
Major_Theme = MAJORTHEME_NAME1,Project_Amount, ProjectOrder)
# filter by date range
dataTC <- filter(dataTC, (Approval_Date >= fromDate) & (Approval_Date <= toDate))
count_ibrd <- nrow(dataTC) # will determine the size of the table
# Financing products
dataTC <- filter(dataTC, Prod_Line == "Financing")
# arrange
dataTC <- arrange(as.data.frame(dataTC), desc(Prod_Line), ProjectOrder)
dataTC <- select(dataTC,-ProjectOrder, -Prod_Line) # drop ProjectOrder
# remove duplicates
data <- dataTC[!duplicated(dataTC$PROJ_ID),]
# format Amount
data <- mutate(data, Project_Amount = ifelse(!is.na(Project_Amount),Project_Amount/1000,NA))
# substitute NAs for "---" em-dash
data[is.na(data)] <- "---"
data$Project_Amount <- format(data$Project_Amount, digits=0, decimal.mark=".",
big.mark=",",small.mark=".", small.interval=3)
# escape reserved characters
data$Project_Name <- gsub("%", "\\%", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("&", "\\&", data$Project_Name, fixed=TRUE)
data$Project_Name <- gsub("_", "\\_", data$Project_Name, fixed=TRUE)
names(data) <- c("Project ID", "Project Name", "Approval Date", "Status", "Major Sector", "Major Theme", "Amount (in US\\$ K)")
# I have to add a dummy column so the alignment works (align)
data$dummy <- rep("",nrow(data))
names(data)[ncol(data)] <- ""
data.table <- xtable(data, digits=rep(0,ncol(data)+1)) #control decimals
align(data.table) <- c('l','l','>{\\raggedright}p{1in}','l','l','>{\\raggedright}p{1in}','>{\\raggedright}p{1in}','r','l')
if (count_ibrd>6){ # squeeze tables in case they are too long
print(data.table, include.rownames=FALSE,include.colnames=TRUE, floating=FALSE,
size="\\scriptsize",
booktabs = FALSE, table.placement="", hline.after = c(0) ,latex.environments = "center",
sanitize.text.function = function(x){x} # include sanitize to control formats
)
} else{
print(data.table, include.rownames=FALSE,include.colnames=TRUE, floating=FALSE,
size="\\footnotesize",
booktabs = FALSE, table.placement="", hline.after = c(0) ,latex.environments = "center",
sanitize.text.function = function(x){x} # include sanitize to control formats
)
}
}
projectsTableFinancing(couName)
## ---- ASATable ----
projectsTableASA <- function(couName){
cou <- .getCountryCode(couName)
couISO2 <- .getISO2(couName)
### IBRD T&C projects -----------------
dataTC <- .filterTCProjects(couName)
# select relevant variables
dataTC <- select(dataTC, PROJ_ID, Prod_Line, Project_Name = PROJ_SHORT_NME,
Approval_Date = BD_APPRVL_DATE, Project_Status = PROJECT_STATUS_NME,
Major_Sector = MAJORSECTOR_NAME1,
Major_Theme = MAJORTHEME_NAME1,Project_Amount, ProjectOrder)
# filter by date range
dataTC <- filter(dataTC, (Approval_Date >= fromDate) & (Approval_Date <= toDate))
count_ibrd <- nrow(dataTC) # will determine the size of the table
# Advisory (ASA) products
dataTC <- filter(dataTC, Prod_Line != "Financing")
# arrange
dataTC <- arrange(as.data.frame(dataTC), desc(Prod_Line), ProjectOrder)
dataTC <- select(dataTC,-ProjectOrder, -Prod_Line) # drop ProjectOrder
# remove duplicates
data <- dataTC[!duplicated(dataTC$PROJ_ID),]
# format Amount
data <- mutate(data, Project_Amount = ifelse(!is.na(Project_Amount),Project_Amount/1000,NA))