# ag_info <- openxlsx::read.xlsx("tests//testdata/Study1.xlsx", sheet = 2)
# tidy_data <- openxlsx::read.xlsx("tests//testdata/Study1.xlsx")%>%
# tidyr::pivot_longer(cols = tidyselect::starts_with("Attribute"),
# names_to = "Attribute_Name",
# values_to = "Attribute_Value") %>%
# dplyr::mutate(Study = "Study1")
#
# cluster_data <- prep_inspect_product_data(tidy_data = tidy_data,
# .Attribute_Name_colname = Attribute_Name,
# .Product_Name_colname = Product_Name,
# .Attribute_Value_colname = Attribute_Value)
#
# plot(cluster_data = cluster_data,
# tidy_data = tidy_data,
# ag_info = ag_info,
# .Attribute_Name_colname = Attribute_Name,
# .Product_Name_colname = Product_Name,
# .Attribute_Group_colname = Group,
# split_by_ag = FALSE)
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