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Researchers may like to kick-start their analysis by having a ready-made deck, with one slide per variable in the dataset. For each variable type, there is a graph or table set up as the default.

At this stage, R code can be run to generate such a Deck.

The following assumes you have already logged in and loaded a dataset.

library(crunch)

login()
ds <- loadDataset()

vars <- as.data.frame(variables(ds))

newDeck(ds, "Auto Report")

deck <- decks(ds)[[1]]

for (i in 1:nrow(vars)) {
 if (vars[i, "type"] == "categorical_array") {my_viz <- "horizontalBarPlot"}
 if (vars[i, "type"] == "categorical") {my_viz <- "donut"}
 if (vars[i, "type"] == "date") {my_viz <- "table"}
 newSlide(deck, 
 query = as.formula(paste0("~ ", vars[i,"alias"])),
 title = vars[i,"name"], 
 subtitle = "", 
 display_settings = list(vizType = my_viz)
 )
}

Further info

Technical documentation - see the Crunch R reference