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# Histogram via clusteredColumn (ChartEx) on 100 normally distributed values.
# Bin specification: binSize 10, left-closed intervals, with explicit underflow
# at 20 and overflow at 80 (binCount can be used instead of binSize).
# Chart at C2:J20.
histogram_with_args <- function() {
require(openxlsx2)
require(encharter)
df_hist <- data.frame(Value = rnorm(100, 50, 10))
ce <- ec("clusteredColumn")
ce$add_series(
name = "Distribution",
data = "Sheet1!$A$2:$A$101",
binning = list(
binSize = 10,
intervalClosed = "left",
underflow = 20,
overflow = 80
)
)
wb <- wb_workbook() |>
wb_add_worksheet("Sheet1") |>
wb_add_data(x = df_hist) |>
wb_add_encharter(dims = "C2:J20", graph = ce)
if (interactive()) wb$open()
invisible(wb)
}
histogram_with_args()
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