Nothing
## ---- include = FALSE---------------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
data.table::setDTthreads(1)
## ----eval=FALSE, include=TRUE-------------------------------------------------
# library(occupationMeasurement)
#
# # Connect to the database
# db_connection <- DBI::dbConnect(RSQLite::SQLite(), dbname = ":memory:")
#
# # Launch the interactive app
# app(
# start = TRUE,
# app_settings = create_app_settings(
# handle_data = function(table_name, data, ...) {
# # Write data into the database and automatically create the table if
# # it doesn't exist already
# DBI::dbWriteTable(
# conn = db_connection,
# name = table_name,
# value = data,
#
# # Important, to actually add data and not remove any existing data.
# append = TRUE
# )
# },
#
# # Let's not save data in files, when we're already using a database
# save_to_file = FALSE
# )
# )
## ----eval=FALSE, include=TRUE-------------------------------------------------
# library(occupationMeasurement)
#
# # Connect to the database
# db_connection <- DBI::dbConnect(RSQLite::SQLite(), dbname = ":memory:")
#
# # Launch the interactive app
# app(
# start = TRUE,
# app_settings = create_app_settings(
# handle_data = function(table_name, data, ...) {
# # By checking for table_name we can identify which type of data is being handled
# if (table_name == "results_overview") {
# # Write data into the "results" table (creating it if necessary)
# DBI::dbWriteTable(
# conn = db_connection,
# name = "results",
# value = data,
#
# # Important, to actually add data and not remove any existing data.
# append = TRUE
# )
# }
#
# if (table_name == "answers") {
# # Don't save answers data, just output it into the R console
# print("'answers' data (not saved):")
# print(data)
# }
#
# # Ignoring any other type of data e.g. occupations_suggested
# },
#
# # Let's not save data in files, when we're already using a database
# save_to_file = FALSE
# )
# )
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.