diff --git a/R/CalculationFunctions.R b/R/CalculationFunctions.R
index bff444ab..5ed21e74 100644
--- a/R/CalculationFunctions.R
+++ b/R/CalculationFunctions.R
@@ -128,6 +128,7 @@ calculateResultsWithExternalFactors <- function(model, perspective = "FINAL", de
   hh = t(as.matrix(model$B_h[, codes])) * colSums(as.matrix(model$U[, codes]))
   hh_lcia = t(model$C %*% as.matrix(model$B_h[, codes])) * colSums(as.matrix(model$U[, codes]))
   rownames(hh) <- codes
+  rownames(hh_lcia) <- codes
   
   # Calculate Final perspective results
   if(perspective == "FINAL"){
diff --git a/R/VisualizationFunctions.R b/R/VisualizationFunctions.R
index 3d0a29a0..7a2df283 100644
--- a/R/VisualizationFunctions.R
+++ b/R/VisualizationFunctions.R
@@ -339,8 +339,8 @@ getBEASectorColorMapping <- function(model) {
   ColorLabelMapping$color <- rownames(ColorLabelMapping)
   # Add Households, Used and Other
   # ColorLabelMapping["#FFE119", ] <- c("Households", "F010", "#FFE119") # yellow
-  # ColorLabelMapping["#42D4F4", ] <- c("Used", "Used", "#42D4F4") # cyan (bright blue)
-  # ColorLabelMapping["#469990", ] <- c("Other", "Other", "#469990") # teal
+  ColorLabelMapping["#42D4F4", ] <- c("Used", "Used", "#42D4F4") # cyan (bright blue)
+  ColorLabelMapping["#469990", ] <- c("Other", "Other", "#469990") # teal
   # Prepare BEA Sector-modelIOLevel mapping
   mapping <- unique(model$crosswalk[, c("BEA_Sector", "USEEIO")])
   colnames(mapping) <- c("Sector", paste0(model$specs$BaseIOLevel, "Code"))