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Cuando uso hotr en una shinyApp usando tableInput de dsmodules se genera un error

For example in the gender app: the output is going to be the same table as the input table but with an extra column (the columns which the guessed genders). We want this column to be highlighted or distinguished (styles changes). It can also apply for rows and cells.

Point out errors in incongruous edition

For example in apps is important to highlight column when I choose in selector variables to plot

Gender and Total victims will must be highlighted

the table size is nonfunctional in shinypanel

When used as follows, the data in input$data_input seems to be trimmed at 26 columns even if inputData() has more columns.

hotr("data_input", data = inputData(), options = list(height = 200))

Dejar el menor número de opciones

https://handsontable.com/docs/8.4.0/demo-read-only.html

Los datos son los siguientes:
https://docs.google.com/spreadsheets/d/1Ro5sLWe6Dz-8Xqhj2BNlyyWTqKXkPBjyPBNXB636GBI/edit#gid=2139997082

Al cargar esta base el resultado del fringe es NULL

library(shiny)
library(hotr)
library(shinypanels)
library(tidyverse)

ui <- panelsPage(
panel(title = "First Panel", color = "chardonnay", collapsed = FALSE, width = 350,
head = NULL,
body = verbatimTextOutput('test'),
footer = NULL
),
panel(title = "Second panel", color = "chardonnay", collapsed = FALSE, width = 350,
head = NULL,
body = uiOutput("dataTable"),
footer = NULL
)
)

server <- function(input, output, session) {

output$dataTable <- renderUI({
d_mex <- read_csv("Desaparecidos en México. Source_ El Universal - desaparecidos-mex_data.csv")
hotr('hot-table', data = d_mex)
})

output$test <- renderPrint(input$hot-table)
}
shinyApp(ui,server)

Validations should kick in... but what if the users don't know what types are?
How can we train them our custom Data Types?

Users should be able to double click and rename column labels

i think it could be useful ---especially for the apps-- to overwrite this names so that it can be a guide for the correct content of the column. Moreover, as it establish the correct content of every column there will be no need -- as in the bar chart race app or gender app -- to use selectors so that the user indicates which column has the information needed... Also, it would be good when a user fills the table from scratch

scroll moving away from table

For example my input is 04-05-2020 hotr automatically change the value by 2020-05-04, however is important that it keep the initial format

Example:

I can swapping column but a it’s not clear, I think that the columns should appear select, for example:

If I'm swapping column 'Date' this should appear in shadow

Users may want to edit the names of the column types, example.
Cat -> Categorías
Num -> Números
Useful for multilingual apps