library(rbokeh) library(knitr) load("{{{di_path}}}")
{{{intro_rmd}}}
if(!is.null(di$meta)) { nms <- names(di$meta) tmpdf <- data.frame( v1 = gsub("_", " ", nms), v2 = unname(unlist(di$meta))) txt <- c("# Meta #", "", "| property | value |", "| ---------- | ------- |", apply(tmpdf, 1, function(x) { paste("|", paste(x, collapse = " | "), "|")})) cat(paste(txt, collapse = "\n")) }
There are r di$nrow
records for r di$ncol
variables.
A sample of the data:
DT::datatable(di$head, rownames = FALSE)
plot_missing(di)
txt <- "" if(length(di$na_cols) > 0 || length(di$dups) > 0) txt <- "# Notes #\n\n" if(length(di$na_cols) > 0) txt <- c(paste0("The following variables are all NA: `", paste0(names(di$na_cols), collapse = "`, `"), "`"), "") if(length(di$dups) > 0) { txt <- c(txt, "The following variables are duplicates:", "", sapply(di$dups, function(x) { paste0("- `", paste0(x, collapse = "`, `"), "`") }), "") cat(paste(txt, collapse = "\n")) }
{{{var_summaries}}}
{{{post_rmd}}}
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