Comments (2)
Can you please provide a minimal reprex (reproducible example)? The goal of a reprex is to make it as easy as possible for us to recreate your problem so that we can fix it: please help us help you! If you've never heard of a reprex before, start by reading about the reprex package or the guidance from the Shiny team on creating a reproducible example.
from htmlwidgets.
sharedData <- function(df) {
SharedData$new(df)
}
df <- read.csv("sample.csv")
df_shared <- sharedData(df)
key <- df_shared$key()
group <- df_shared$groupName()
data <- df_shared$origData()
selection = ~favourableTop10 == "Unfavourable Top 10"
selection = eval(selection[[2]], data, environment(selection))
data = data[selection, ]
key = key[selection]
column = 'Revenue'
data = data[[column]]
statistic <- 'sum'
digits = 2
x = list(
data = data,
settings = list(
statistic = statistic,
digits = digits,
crosstalk_key = key,
crosstalk_group = group
)
)
width = NULL
height = NULL
elementId = NULL
htmlwidgets::createWidget(
name = 'summarywidget',
x,
width = width,
height = height,
package = 'summarywidget',
elementId = elementId,
dependencies = crosstalk::crosstalkLibs()
)
Above code uses sample.csv file consisting of data that causes NaN issue. Filtering by favourableTop10 == "Unfavourable Top 10" causes the NaN but favourableTop10 == "Favourable Top 10" works.
I have also attached screenshots of the RStudio Viewer output for both filter cases.
from htmlwidgets.
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from htmlwidgets.