dickoa

library(tidyverse)
library(ggpattern)
library(ggtext)

## https://www.pbs.org/newshour/politics/most-americans-want-congress-to-compromise-as-debt-ceiling-looms
## Great chart by Megan McGrew 

col <- c("#2aa7ff", "#f93037", "#a44bd2", "#c0c1c0")
bg_col <- "#ecedec"

dickoa

library(tidyverse)
library(ridl)
library(lubridate)

### Targeted region
region <- "west-and-central-africa"

### List all containers
ct_nm <- rc_list()

dickoa

library(Microsoft365R)
library(tidyverse)
library(readxl)

odb <- get_business_onedrive(app = "d44a05d5-c6a5-4bbb-82d2-443123722380")

### Check files
odb$list_items()

### Check files in "Documents"

dickoa

library(tidyverse)
library(janitor)
library(ridl) ## remotes::install_gitlab("dickoa/ridl")
library(popdata) ## remotes::install_gitlab("dickoa/popdata") 

### Get the list of countries name, iso3 and unhcr code
ct <- pd_countries

ct <- filter(pd_countries,
             bureau == "West and Central Africa") |>

dickoa

library(tidyverse)
library(sf)
library(rgeoboundaries) ## remotes::install_github("wmgeolabs/rgeoboundaries")
library(racled) ## remotes::install_gitlab("dickoa/racled")
library(cowplot)

### Get Mali country boundaries
mli_adm0 <- gb_adm0("mali")

### Get Mali ACLED data

dickoa

library(robotoolbox) # if not available please do remotes::install_gitlab("dickoa/robotoolbox")
library(dplyr)
library(labelled)

token <- kobo_token(username = "xxxx",
           password = "xxxxx",
           url = "kobo.humanitarianresponse.info")

kobo_setup(url = "kobo.humanitarianresponse.info",
           token = token)

dickoa

library(Microsoft365R)
library(blastula)

outl <- get_business_outlook(app = "d44a05d5-c6a5-4bbb-82d2-443123722380") ## just once after you can do `outl <- get_business_outlook()`

body <- "## Hello!

This is an email message that was generated by the blastula package.

We can use **Markdown** formatting with the `md()` function.

dickoa

library(popdata)
library(unhcrthemes)
library(tidyverse)
library(janitor)

### Most function use "pd_" prefix
### "pd" stands for PopData

### Log into popdata
# pd_login()

dickoa

#' @noRd
repeat_to_df <- function(x, form) {
  nm <- unique(form$name[form$type %in% "begin_repeat"])
  nm <- intersect(names(x), nm)
  if (length(nm) > 0) {
    x <- lapply(nm, function(n) {
      res <- x[[n]]
      res <- res[vapply(res, is.data.frame, logical(1))]
      res <- rbindlist(res, fill = TRUE)

dickoa

remotes::install_github("dickoa/unhcrthemes") 

library(unhcrthemes)
library(ggplot2)
library(ragg)

### checking scale_color
ggplot(iris, aes(x = Petal.Length, y = Petal.Width, color = Species)) +
  geom_point() +
  scale_color_unhcr_d(palette = "pal_main_qual") +