diff --git a/DESCRIPTION b/DESCRIPTION
index 5b7daa3..be027e3 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: ddh
 Type: Package
 Title: Utility Functions and Data Sets for Data-driven Hypothesis
-Version: 0.3.33
+Version: 0.3.34
 Authors@R: c(
     person(given = "Matthew",
            family = "Hirschey",
diff --git a/R/plots.R b/R/plots.R
index d70ec0b..5f80573 100644
--- a/R/plots.R
+++ b/R/plots.R
@@ -2676,7 +2676,7 @@ make_cellbar <- function(input = list(),
 }
 
 ## DENSITY PLOT ----------------------------------------------------------------
-#' Cell Dependencies Density Plot
+#' Dependencies Density Plot
 #'
 #' Kernel density estimate of dependency scores. Dependency scores across all cell lines for queried genes, revealing overall influence of a gene on cellular fitness. The interval indicates the 95 percent quantile of the data, the dot indicates the median dependency score. The gray background highlights weak dependency values between -1 and 1.
 #'
@@ -2852,7 +2852,7 @@ make_cellbins <- function(input = list(),
 ## LINEAGE LINERANGE PLOT ------------------------------------------------------
 #' Dependency Lineage Plot
 #'
-#' Each point shows the median dependency score for the gene query within a given cell lineage. The intervals show the 5 percent quantiles centered on the median, the interquartile ranges, and the 95 percent quantiles. The gray background highlights weak dependency values between -1 and 1.
+#' Each point shows the median dependency score for the queried genes within a given cell lineage. The intervals show the 5 percent quantiles centered on the median, the interquartile ranges, and the 95 percent quantiles.
 #'
 #' @param input Expecting a list containing type and content variable.
 #' @param card A boolean that sets whether the plot should be scaled down to be a card
@@ -3043,7 +3043,7 @@ make_lineage <- function(input = list(),
 ## SUB-LINEAGE LINE RANGE PLOT ------------------------------------------------------
 #' Dependency Sub-lineage Plot
 #'
-#' Each point shows the median dependency score for the gene query within a given cell sub-lineage. The intervals show the 5 percent quantiles centered on the median, the interquartile ranges, and the 95 percent quantiles. The gray background highlights weak dependency values between -1 and 1.
+#' Each point shows the median dependency score for the queried genes within a given cell sub-lineage. The intervals show the 5 percent quantiles centered on the median, the interquartile ranges, and the 95 percent quantiles.
 #'
 #' @param input Expecting a list containing type and content variable.
 #' @param card A boolean that sets whether the plot should be scaled down to be a card
@@ -3234,7 +3234,7 @@ make_sublineage <- function(input = list(),
 ## CORRELATION PLOT FOR CELL DEPS--------------------------------------------------------
 #' Co-essentiality Correlation Plot
 #'
-#' Each point shows the ranked correlation value ordered from high to low for each query. Correlation values outside the solid gray lines indicate the gene has a correlation value greater than the mean.
+#' Each point shows the ranked correlation value ordered from high to low for each query. Correlation values above or below the dashed gray lines indicate the gene has a correlation value greater than the mean.
 #'
 #' @param input Expecting a list containing type and content variable.
 #' @param card A boolean that sets whether the plot should be scaled down to be a card
@@ -3376,9 +3376,9 @@ make_correlation <- function(input = list(),
 }
 
 ## EXPvDEP PLOT --------------------------------------------------------
-#' Gene Dependency versus Expression
+#' Gene Dependency vs Expression Plot
 #'
-#' Each point shows the dependency value compared to the expression value for a gene within a given cell line. Gray area indicates dependency values that are between -1 and 1.
+#' Each point shows the dependency value compared to the gene expression value for a gene within a given cell line. The Pearson correlation coefficient and the p-values are provided in the top-left corner of the plot.
 #'
 #' @param input Expecting a list containing type and content variable.
 #' @param card A boolean that sets whether the plot should be scaled down to be a card
diff --git a/man/make_cellbins.Rd b/man/make_cellbins.Rd
index 61af5c9..bddcefe 100644
--- a/man/make_cellbins.Rd
+++ b/man/make_cellbins.Rd
@@ -2,7 +2,7 @@
 % Please edit documentation in R/plots.R
 \name{make_cellbins}
 \alias{make_cellbins}
-\title{Cell Dependencies Density Plot}
+\title{Dependencies Density Plot}
 \usage{
 make_cellbins(input = list(), card = FALSE)
 }
diff --git a/man/make_correlation.Rd b/man/make_correlation.Rd
index 27e34d3..a9e7180 100644
--- a/man/make_correlation.Rd
+++ b/man/make_correlation.Rd
@@ -15,7 +15,7 @@ make_correlation(input = list(), card = FALSE, scale = NULL)
 If no error, then returns a correlation plot. If an error is thrown, then will return a bomb plot.
 }
 \description{
-Each point shows the ranked correlation value ordered from high to low for each query. Correlation values outside the solid gray lines indicate the gene has a correlation value greater than the mean.
+Each point shows the ranked correlation value ordered from high to low for each query. Correlation values above or below the dashed gray lines indicate the gene has a correlation value greater than the mean.
 }
 \examples{
 make_correlation(input = list(type = 'gene', query = 'ROCK1', content = 'ROCK1'))
diff --git a/man/make_expdep.Rd b/man/make_expdep.Rd
index 8d78be7..30a2e2a 100644
--- a/man/make_expdep.Rd
+++ b/man/make_expdep.Rd
@@ -2,7 +2,7 @@
 % Please edit documentation in R/plots.R
 \name{make_expdep}
 \alias{make_expdep}
-\title{Gene Dependency versus Expression}
+\title{Gene Dependency vs Expression Plot}
 \usage{
 make_expdep(input = list(), plot_se = FALSE, card = FALSE)
 }
@@ -15,7 +15,7 @@ make_expdep(input = list(), plot_se = FALSE, card = FALSE)
 If no error, then returns a expdep plot. If an error is thrown, then will return a bomb plot.
 }
 \description{
-Each point shows the dependency value compared to the expression value for a gene within a given cell line. Gray area indicates dependency values that are between -1 and 1.
+Each point shows the dependency value compared to the gene expression value for a gene within a given cell line. The Pearson correlation coefficient and the p-values are provided in the top-left corner of the plot.
 }
 \examples{
 make_expdep(input = list(type = 'gene', query = 'ROCK1', content = 'ROCK1'))
diff --git a/man/make_lineage.Rd b/man/make_lineage.Rd
index 476d87a..10a9aaa 100644
--- a/man/make_lineage.Rd
+++ b/man/make_lineage.Rd
@@ -15,7 +15,7 @@ make_lineage(input = list(), card = FALSE, highlight = FALSE)
 If no error, then returns a lineage plot. If an error is thrown, then will return a bomb plot.
 }
 \description{
-Each point shows the median dependency score for the gene query within a given cell lineage. The intervals show the 5 percent quantiles centered on the median, the interquartile ranges, and the 95 percent quantiles. The gray background highlights weak dependency values between -1 and 1.
+Each point shows the median dependency score for the queried genes within a given cell lineage. The intervals show the 5 percent quantiles centered on the median, the interquartile ranges, and the 95 percent quantiles.
 }
 \examples{
 make_lineage(input = list(type = 'gene', query = 'ROCK1', content = 'ROCK1'))
diff --git a/man/make_sublineage.Rd b/man/make_sublineage.Rd
index 5d90833..9826014 100644
--- a/man/make_sublineage.Rd
+++ b/man/make_sublineage.Rd
@@ -15,7 +15,7 @@ make_sublineage(input = list(), card = FALSE, highlight = FALSE)
 If no error, then returns a lineage plot. If an error is thrown, then will return a bomb plot.
 }
 \description{
-Each point shows the median dependency score for the gene query within a given cell sub-lineage. The intervals show the 5 percent quantiles centered on the median, the interquartile ranges, and the 95 percent quantiles. The gray background highlights weak dependency values between -1 and 1.
+Each point shows the median dependency score for the queried genes within a given cell sub-lineage. The intervals show the 5 percent quantiles centered on the median, the interquartile ranges, and the 95 percent quantiles.
 }
 \examples{
 make_sublineage(input = list(type = 'gene', query = 'ROCK1', content = 'ROCK1'))