diff --git a/.github/workflows/dev_check.yml b/.github/workflows/dev_check.yml
index 7d28c0c..6fa6420 100644
--- a/.github/workflows/dev_check.yml
+++ b/.github/workflows/dev_check.yml
@@ -45,6 +45,7 @@ jobs:
             any::ggalluvial
             any::ggforce
             any::ggraph
+            any::hexbin
 
       - name: Set up dependencies (GiottoUtils)
         run: |
diff --git a/R/vis_spatial.R b/R/vis_spatial.R
index 526acf3..c2c1a78 100644
--- a/R/vis_spatial.R
+++ b/R/vis_spatial.R
@@ -771,6 +771,15 @@ spatPlot2D <- function(
 #'     color_as_factor = FALSE,
 #'     gradient_style = "sequential"
 #' )
+#'
+#'
+#' # load another dataset with 3D data
+#' starmap <- GiottoData::loadGiottoData("starmap", verbose = FALSE)
+#'
+#' # default is to rescale plot as a 3D cube
+#' spatPlot3D(starmap, cell_color = "leiden_clus")
+#' # real scaling
+#' spatPlot3D(g, cell_color = "leiden_clus", axis_scale = "real")
 #' @export
 #' @seealso \code{\link{spatPlot3D}}
 spatPlot <- function(...) {
@@ -5251,7 +5260,7 @@ dimPlot3D <- function(gobject,
 #' @returns plotly
 #' @examples
 #' g <- GiottoData::loadGiottoMini("starmap")
-#' plotUMAP_3D(g)
+#' plotUMAP_3D(g, dim_reduction_name = "3D_umap")
 #'
 #' @export
 plotUMAP_3D <- function(gobject,
diff --git a/R/vis_spatial_in_situ.R b/R/vis_spatial_in_situ.R
index 0b910c9..8187a52 100644
--- a/R/vis_spatial_in_situ.R
+++ b/R/vis_spatial_in_situ.R
@@ -636,6 +636,7 @@ spatInSituPlotHex <- function(
         polygon_line_size <- polygon_size
     }
 
+    package_check("hexbin")
 
     if (is.null(feats)) {
         stop("You need to select features (feats) and modify
diff --git a/man/addGiottoImageToSpatPlot.Rd b/man/addGiottoImageToSpatPlot.Rd
index 3dcaa61..1cbe545 100644
--- a/man/addGiottoImageToSpatPlot.Rd
+++ b/man/addGiottoImageToSpatPlot.Rd
@@ -30,7 +30,7 @@ an updated spatial ggplot object
 Add a giotto image to a spatial ggplot object post creation
 }
 \examples{
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 
 my_giottoimage <- GiottoClass::createGiottoImage(g,
 mg_object = system.file("image.png", package = "GiottoVisuals"),
diff --git a/man/create_cluster_dendrogram.Rd b/man/create_cluster_dendrogram.Rd
index a999953..a44539f 100644
--- a/man/create_cluster_dendrogram.Rd
+++ b/man/create_cluster_dendrogram.Rd
@@ -59,7 +59,7 @@ for the 'col' params then they will be assumed as 1. clus_col, 2. var_col,
 3. val_col
 }
 \examples{
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 
 g_expression <- head(GiottoClass::getExpression(g, output = "matrix"))
 g_expression_df <- as.data.frame(as.matrix(g_expression))
diff --git a/man/dimCellPlot.Rd b/man/dimCellPlot.Rd
index 8eed044..f317fa8 100644
--- a/man/dimCellPlot.Rd
+++ b/man/dimCellPlot.Rd
@@ -183,13 +183,13 @@ Visualize cells according to dimension reduction coordinates.
 Description of parameters. For 3D plots see \code{\link{dimPlot3D}}
 }
 \examples{
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 dimCellPlot2D(
     g, spat_enr_names = "cluster_metagene",
     cell_annotation_values = as.character(seq(4))
 )
 
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 dimCellPlot(g, cell_annotation_values = "leiden_clus")
 
 }
diff --git a/man/dimFeatPlot2D.Rd b/man/dimFeatPlot2D.Rd
index e3a1753..935e4d0 100644
--- a/man/dimFeatPlot2D.Rd
+++ b/man/dimFeatPlot2D.Rd
@@ -142,7 +142,7 @@ coordinates
 Description of parameters.
 }
 \examples{
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 dimFeatPlot2D(g, feats = c("Gna12", "Ccnd2", "Btbd17"))
 
 }
diff --git a/man/dimPlot.Rd b/man/dimPlot.Rd
index 667e3b1..033cd18 100644
--- a/man/dimPlot.Rd
+++ b/man/dimPlot.Rd
@@ -234,9 +234,9 @@ plotly (dimplot3D only)
 Visualize cells according to dimension reduction coordinates
 }
 \examples{
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 dimPlot2D(g)
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 dimPlot(g)
 }
 \seealso{
diff --git a/man/plotHeatmap.Rd b/man/plotHeatmap.Rd
index d28a6de..5868711 100644
--- a/man/plotHeatmap.Rd
+++ b/man/plotHeatmap.Rd
@@ -118,7 +118,7 @@ If you want to display many features there are 2 ways to proceed:
 }
 }
 \examples{
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 plotHeatmap(g, feats = c("Gm19935", "Gna12", "Ccnd2", "Btbd17"),
 cluster_column = "leiden_clus")
 
diff --git a/man/plotMetaDataHeatmap.Rd b/man/plotMetaDataHeatmap.Rd
index dd0f72a..d595c67 100644
--- a/man/plotMetaDataHeatmap.Rd
+++ b/man/plotMetaDataHeatmap.Rd
@@ -123,7 +123,7 @@ is by default on the z-scores. Other options are the original values or
 z-scores rescaled per feature (-1 to 1).
 }
 \examples{
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 plotMetaDataHeatmap(g, metadata_cols = "leiden_clus",
 selected_feats = c("Gna12", "Ccnd2", "Btbd17", "Gm19935"))
 
diff --git a/man/plotPCA.Rd b/man/plotPCA.Rd
index 2d2c678..0d54342 100644
--- a/man/plotPCA.Rd
+++ b/man/plotPCA.Rd
@@ -89,7 +89,7 @@ Description of parameters, see \code{\link{dimPlot2D}}.
 For 3D plots see \code{\link{plotPCA_3D}}
 }
 \examples{
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 plotPCA(g)
 
 }
diff --git a/man/plotPCA_2D.Rd b/man/plotPCA_2D.Rd
index f0591a9..ef0a6f2 100644
--- a/man/plotPCA_2D.Rd
+++ b/man/plotPCA_2D.Rd
@@ -94,7 +94,7 @@ Description of parameters, see \code{\link{dimPlot2D}}.
 For 3D plots see \code{\link{plotPCA_3D}}
 }
 \examples{
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 plotPCA_2D(g)
 
 }
diff --git a/man/plotTSNE.Rd b/man/plotTSNE.Rd
index 3e9afa7..ea5ec02 100644
--- a/man/plotTSNE.Rd
+++ b/man/plotTSNE.Rd
@@ -89,7 +89,7 @@ Description of parameters, see \code{\link{dimPlot2D}}.
 For 3D plots see \code{\link{plotTSNE_3D}}
 }
 \examples{
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 plotTSNE(g)
 
 }
diff --git a/man/plotTSNE_2D.Rd b/man/plotTSNE_2D.Rd
index 7c1f2bf..58ca03e 100644
--- a/man/plotTSNE_2D.Rd
+++ b/man/plotTSNE_2D.Rd
@@ -94,7 +94,7 @@ Description of parameters, see \code{\link{dimPlot2D}}.
 For 3D plots see \code{\link{plotTSNE_3D}}
 }
 \examples{
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 plotTSNE_2D(g)
 
 }
diff --git a/man/plotUMAP.Rd b/man/plotUMAP.Rd
index aae42a9..50a4fb8 100644
--- a/man/plotUMAP.Rd
+++ b/man/plotUMAP.Rd
@@ -85,7 +85,7 @@ ggplot
 Short wrapper for UMAP visualization
 }
 \examples{
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 plotUMAP(g)
 
 }
diff --git a/man/plotUMAP_2D.Rd b/man/plotUMAP_2D.Rd
index 6674726..e1150c3 100644
--- a/man/plotUMAP_2D.Rd
+++ b/man/plotUMAP_2D.Rd
@@ -94,7 +94,7 @@ Description of parameters, see \code{\link{dimPlot2D}}.
 For 3D plots see \code{\link{plotUMAP_3D}}
 }
 \examples{
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 plotUMAP_2D(g)
 }
 \seealso{
diff --git a/man/plotUMAP_3D.Rd b/man/plotUMAP_3D.Rd
index a10e961..9d93fca 100644
--- a/man/plotUMAP_3D.Rd
+++ b/man/plotUMAP_3D.Rd
@@ -68,7 +68,7 @@ Description of parameters.
 }
 \examples{
 g <- GiottoData::loadGiottoMini("starmap")
-plotUMAP_3D(g)
+plotUMAP_3D(g, dim_reduction_name = "3D_umap")
 
 }
 \seealso{
diff --git a/man/plotly_grid.Rd b/man/plotly_grid.Rd
index 6107166..1bf6328 100644
--- a/man/plotly_grid.Rd
+++ b/man/plotly_grid.Rd
@@ -30,7 +30,7 @@ edges in spatial grid as data.table()
 provide grid segment to draw in plot_ly()
 }
 \examples{
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 
 library(GiottoClass)
 g <- createSpatialGrid(gobject = g,
diff --git a/man/showClusterDendrogram.Rd b/man/showClusterDendrogram.Rd
index 6801566..91cedfd 100644
--- a/man/showClusterDendrogram.Rd
+++ b/man/showClusterDendrogram.Rd
@@ -83,7 +83,7 @@ Creates dendrogram for selected clusters.
 Expression correlation dendrogram for selected clusters.
 }
 \examples{
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 showClusterDendrogram(g, cluster_column = "leiden_clus")
 
 }
diff --git a/man/showClusterHeatmap.Rd b/man/showClusterHeatmap.Rd
index 3c0e494..3c56b42 100644
--- a/man/showClusterHeatmap.Rd
+++ b/man/showClusterHeatmap.Rd
@@ -152,7 +152,7 @@ Creates heatmap based on identified clusters
 Correlation heatmap of selected clusters.
 }
 \examples{
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 showClusterHeatmap(g, cluster_column = "leiden_clus")
 
 }
diff --git a/man/spatCellPlot.Rd b/man/spatCellPlot.Rd
index 45bd5c4..1808ef3 100644
--- a/man/spatCellPlot.Rd
+++ b/man/spatCellPlot.Rd
@@ -212,10 +212,10 @@ Visualize cells according to spatial coordinates
 Description of parameters.
 }
 \examples{
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 spatCellPlot2D(g, cell_annotation_values = "leiden_clus")
 
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 spatCellPlot(g, cell_annotation_values = "leiden_clus")
 
 }
diff --git a/man/spatDimCellPlot.Rd b/man/spatDimCellPlot.Rd
index ca09818..ac56647 100644
--- a/man/spatDimCellPlot.Rd
+++ b/man/spatDimCellPlot.Rd
@@ -116,7 +116,7 @@ AND dimension reduction coordinates in 2D
 Description of parameters.
 }
 \examples{
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 spatDimCellPlot(g, cell_annotation_values = "leiden_clus")
 
 }
diff --git a/man/spatDimCellPlot2D.Rd b/man/spatDimCellPlot2D.Rd
index e9ffe69..4ed5957 100644
--- a/man/spatDimCellPlot2D.Rd
+++ b/man/spatDimCellPlot2D.Rd
@@ -276,7 +276,7 @@ AND dimension reduction coordinates in 2D
 Description of parameters.
 }
 \examples{
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 spatDimCellPlot2D(g, cell_annotation_values = "leiden_clus")
 
 }
diff --git a/man/spatDimFeatPlot2D.Rd b/man/spatDimFeatPlot2D.Rd
index 07e3510..a4f4288 100644
--- a/man/spatDimFeatPlot2D.Rd
+++ b/man/spatDimFeatPlot2D.Rd
@@ -214,7 +214,7 @@ coordinates in ggplot mode
 Description of parameters.
 }
 \examples{
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 spatDimFeatPlot2D(g, feats = c("Gna12", "Ccnd2", "Btbd17"))
 
 }
diff --git a/man/spatDimPlot.Rd b/man/spatDimPlot.Rd
index 1ad271b..5079ceb 100644
--- a/man/spatDimPlot.Rd
+++ b/man/spatDimPlot.Rd
@@ -280,10 +280,10 @@ coordinates 2D
 Description of parameters.
 }
 \examples{
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 spatDimPlot2D(g)
 
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 spatDimPlot(g)
 
 }
diff --git a/man/spatFeatPlot2D.Rd b/man/spatFeatPlot2D.Rd
index 7676ef3..44f132a 100644
--- a/man/spatFeatPlot2D.Rd
+++ b/man/spatFeatPlot2D.Rd
@@ -180,7 +180,7 @@ spatial coordinates
 Description of parameters.
 }
 \examples{
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 spatFeatPlot2D(g, feats = "Gna12")
 
 }
diff --git a/man/spatFeatPlot2D_single.Rd b/man/spatFeatPlot2D_single.Rd
index 5534e8a..328c1c5 100644
--- a/man/spatFeatPlot2D_single.Rd
+++ b/man/spatFeatPlot2D_single.Rd
@@ -177,7 +177,7 @@ spatial coordinates
 Description of parameters.
 }
 \examples{
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 spatFeatPlot2D_single(g, feats = c("Gna12", "Ccnd2", "Btbd17"))
 
 }
diff --git a/man/spatPlot.Rd b/man/spatPlot.Rd
index fc8b451..f453ba0 100644
--- a/man/spatPlot.Rd
+++ b/man/spatPlot.Rd
@@ -306,6 +306,15 @@ spatPlot2D(g,
     color_as_factor = FALSE,
     gradient_style = "sequential"
 )
+
+
+# load another dataset with 3D data
+starmap <- GiottoData::loadGiottoData("starmap", verbose = FALSE)
+
+# default is to rescale plot as a 3D cube
+spatPlot3D(starmap, cell_color = "leiden_clus")
+# real scaling
+spatPlot3D(g, cell_color = "leiden_clus", axis_scale = "real")
 }
 \seealso{
 \code{\link{spatPlot3D}}
diff --git a/man/violinPlot.Rd b/man/violinPlot.Rd
index 7d0abb6..292d1fd 100644
--- a/man/violinPlot.Rd
+++ b/man/violinPlot.Rd
@@ -74,7 +74,7 @@ ggplot
 Creates violinplot for selected clusters
 }
 \examples{
-g <- GiottoData::loadGiottoMini("visium")
+g <- GiottoData::loadGiottoMini("visium", verbose = FALSE)
 violinPlot(g, feats = c("Gna12", "Ccnd2", "Btbd17"),
 cluster_column = "leiden_clus")