diff --git a/NAMESPACE b/NAMESPACE
index c9134cd..d3bd17c 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -7,6 +7,7 @@ export(Brown2reference)
 export(Datetime_breaks)
 export(Datetime_limits)
 export(aggregate_Datetime)
+export(count.difftime)
 export(create_Time.data)
 export(cut_Datetime)
 export(data2reference)
diff --git a/NEWS.md b/NEWS.md
index e12038f..71ea700 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,8 +1,10 @@
 # LightLogR 0.2.1.9000
 
+* Exports the up to now internal function `count.difftime()` that is the basis for `dominant_epoch()`. But whereas the latter gets only the most common epoch, `count.difftime()` returns a table with the counts of all epochs. This is useful in conjunction with `gap_finder()`, to check the distribution of data intervals.
+
 * Added the `gg_days()` function to visualize multiple days of data in a single plot. Alongside come two helper functions, `Datetime_limits()` and `Datetime_breaks()`, to set the limits and breaks of the x-axis. 
 
-* Added the `filter_Datetime_multiple()` function to filter for multiple Datetime ranges depending on certain conditions, e.g. different filter cutoffs for different participants.
+* Added the `filter_Datetime_multiple()` function to filter for multiple Datetime ranges depending on certain conditions, e.g. different filter cutoffs for different participants. It wraps around `filter_Datetime()` or `filter_Date()`.
 
 * Reworked the internals of the light logger data import functions. They now use a more straightforward function factory approach. For users the only visible change it that device specific functions now have the form `import$device()` instead of the old `import.device()`.
 
diff --git a/R/aaa.r b/R/aaa.r
index 14e55c2..e5f6add 100644
--- a/R/aaa.r
+++ b/R/aaa.r
@@ -1,4 +1,4 @@
-Time <- mEDI <- Time.data <- Datetime <- timestamp <- tz <- Day.data <- `DATE/TIME` <- n <- Datetime.rounded <- id <- sleep.colname.string <- file.name <- Interval <- original.datapoints.fleeting <- MEDI <- State.Brown <- Reference <- Reference.check <- Id <- Start.date.shift <- data <- Shift <- `MELANOPIC EDI` <- State <- group <- End <- Start <- Quant.x <- Quant.y <- is.implicit <- group.indices <- Id2 <- gap.id <- start <- end <- path <- auto.id <- n_max <- manual.id <- NULL
+Time <- mEDI <- Time.data <- Datetime <- timestamp <- tz <- Day.data <- `DATE/TIME` <- n <- Datetime.rounded <- id <- sleep.colname.string <- file.name <- Interval <- original.datapoints.fleeting <- MEDI <- State.Brown <- Reference <- Reference.check <- Id <- Start.date.shift <- data <- Shift <- `MELANOPIC EDI` <- State <- group <- End <- Start <- Quant.x <- Quant.y <- is.implicit <- group.indices <- Id2 <- gap.id <- start <- end <- path <- auto.id <- n_max <- manual.id <- silent <-  NULL
 
 empty_function <- function() {
   rsconnect::accountInfo()
diff --git a/R/gg_day.r b/R/gg_day.r
index 4c4d365..29fe019 100644
--- a/R/gg_day.r
+++ b/R/gg_day.r
@@ -1,9 +1,9 @@
 
 #' Create a simple Time-of-Day plot of light logger data, faceted by Date
 #'
-#' [gg_day()] will create a simple ggplot for every data in a dataset. The result
-#' can further be manipulated like any ggplot. This will be sensible to refine
-#' styling or guides.
+#' [gg_day()] will create a simple ggplot for every data in a dataset. The
+#' result can further be manipulated like any ggplot. This will be sensible to
+#' refine styling or guides.
 #'
 #' Besides plotting, the function creates two new variables from the given
 #' `Datetime`:
@@ -35,9 +35,9 @@
 #' @param start.date,end.date Choose an optional start or end date within your
 #'   `dataset`. Expects a `date`, which can also be a `character` that is
 #'   interpretable as a date, e.g., `"2023-06-03"`. If you need a Datetime or
-#'   want to cut specific times of each day, use the [filter_Datetime()] function.
-#'   Defaults to `NULL`, which means that the plot starts/ends with the
-#'   earliest/latest date within the `dataset`.
+#'   want to cut specific times of each day, use the [filter_Datetime()]
+#'   function. Defaults to `NULL`, which means that the plot starts/ends with
+#'   the earliest/latest date within the `dataset`.
 #' @param scales For [ggplot2::facet_wrap()], should scales be "fixed", "free"
 #'   or free in one dimension ("free_y" is the default). Expects a `character`.
 #' @param y.scale How should the y-axis be scaled?
@@ -45,10 +45,10 @@
 #' * `"log10"` would be a straight logarithmic scale, but cannot handle negative values.
 #' * `"identity"` does nothing (continuous scaling).
 #' * a transforming function, such as [symlog_trans()] or [scales::identity_trans()], which allow for more control.
-#' @param col optional column name that defines separate sets and colors them.
-#'   Expects anything that works with the layer data [ggplot2::aes()]. The
-#'   default color palette can be overwritten outside the function (see
-#'   examples).
+#' @param aes_col,aes_fill optional arguments that define separate sets and
+#'   colors or fills them. Expects anything that works with the layer data
+#'   [ggplot2::aes()]. The default color palette can be overwritten outside the
+#'   function (see examples).
 #' @param x.axis.breaks,y.axis.breaks Where should breaks occur on the x and
 #'   y.axis? Expects a `numeric vector` with all the breaks. If you want to
 #'   activate the default behaviour of [ggplot2], you need to put in
@@ -85,7 +85,7 @@
 #' x.axis = Datetime,
 #' y.axis = `MELANOPIC EDI`,
 #' y.axis.label = "mEDI (lx)",
-#' col = Source)
+#' aes_col = Source)
 #' plot
 #'
 #' #you can easily overwrite the color scale afterwards
@@ -99,7 +99,8 @@ gg_day <- function(dataset,
                    end.date = NULL,
                    x.axis = Datetime,
                    y.axis = MEDI,
-                   col = NULL,
+                   aes_col = NULL,
+                   aes_fill = NULL,
                    group = NULL,
                    geom = "point",
                    scales = "fixed",
@@ -149,7 +150,8 @@ gg_day <- function(dataset,
         ggplot2::geom_ribbon(
           ggplot2::aes(ymin = 0, ymax = !!y,
                        group = {{ group }},
-                       col = {{ col }}),
+                       col = {{ aes_col }},
+                       fill = {{ aes_fill }}),
           outline.type = "upper",
           ...
           )
@@ -209,7 +211,8 @@ gg_day <- function(dataset,
     eval(geom_function_expr)(
       ggplot2::aes(
         group = {{ group }},
-        col = {{ col }},
+        col = {{ aes_col }},
+        fill = {{ aes_fill }},
       ), ...) +
     ribbon +
     # Scales --------------------------------------------------------------
diff --git a/R/gg_overview.R b/R/gg_overview.R
index 1c97399..50ef01f 100644
--- a/R/gg_overview.R
+++ b/R/gg_overview.R
@@ -109,6 +109,7 @@ gg_overview <- function(dataset,
     #general information
     ggplot2::labs(x = "Datetime")+
     #theming and styling
+    ggplot2::scale_x_datetime()+
     cowplot::theme_cowplot()+
     ggplot2::theme(
       panel.grid.major = ggplot2::element_line(colour = "grey98"), 
diff --git a/R/helper.R b/R/helper.R
index 804ca4d..9369a79 100644
--- a/R/helper.R
+++ b/R/helper.R
@@ -38,14 +38,36 @@ is.all.scalar <- function(...) {
     purrr::every(\(x) length(x) == 1)
 }
 
-#counts the different time differences per group (in a grouped dataset)
+#' Counts the Time differences (epochs) per group (in a grouped dataset)
+#'
+#' @inheritParams cut_Datetime
+#'
+#' @return a `tibble` with the number of occurences of each time difference per
+#'   group
+#' @export
+#'
+#' @examples
+#' #get a dataset with irregular intervals
+#' filepath <- system.file("extdata/sample_data_LYS.csv", package = "LightLogR")
+#' dataset <- import$LYS(filepath)
+#' 
+#' #count.difftime returns the number of occurences of each time difference
+#' #and is more comprehensive in terms of a summary than `gap_finder` or 
+#' #`dominant_epoch`
+#' count.difftime(dataset)
+#' dominant_epoch(dataset)
+#' gap_finder(dataset)
+#' 
+#' #irregular data can be regularized with `aggregate_Datetime`
+#' dataset %>% aggregate_Datetime(unit = "15 secs") %>% count.difftime()
+
 count.difftime <- function(dataset, Datetime.colname = Datetime) {
   dataset %>% 
     dplyr::mutate(
       difftime = c(NA, diff({{Datetime.colname}}) %>% lubridate::as.duration())
       ) %>% 
     tidyr::drop_na(difftime) %>% 
-    dplyr::count(difftime, sort = TRUE)
+    dplyr::count(difftime = difftime %>% lubridate::as.duration(), sort = TRUE)
 }
 
 #calculate the nth Quantile of time differences per group (in a grouped dataset)
diff --git a/R/import_LL.R b/R/import_LL.R
index 8fc309b..eee5a14 100644
--- a/R/import_LL.R
+++ b/R/import_LL.R
@@ -124,6 +124,7 @@ imports <- function(device,
       auto.id = ".*",
       manual.id = NULL,
       locale = readr::default_locale(),
+      silent = FALSE,
       ... =
     ),
     #function expression
@@ -169,7 +170,7 @@ imports <- function(device,
         dplyr::arrange(Datetime, .by_group = TRUE)
       
       #give info about the file
-      import.info(tmp, !!device, tz, !!ID.colname)
+      if(!silent) import.info(tmp, !!device, tz, !!ID.colname)
       
       #return the file
       tmp
diff --git a/R/symlog_trans.R b/R/symlog_trans.R
index f69337d..b04a9e5 100644
--- a/R/symlog_trans.R
+++ b/R/symlog_trans.R
@@ -23,13 +23,13 @@
 #'                                      .default = `MELANOPIC EDI`))
 #' #basic application where transformation, breaks and labels are set manually
 #' dataset %>%                                     
-#' gg_day(col = Source) +
+#' gg_day(aes_col = Source) +
 #' ggplot2::scale_y_continuous(
 #' trans = "symlog")
 #'
 #' #the same plot, but with breaks and labels set manually                            
 #' dataset %>%                                     
-#' gg_day(col = Source) +
+#' gg_day(aes_col = Source) +
 #' ggplot2::scale_y_continuous(
 #' trans = "symlog", 
 #' breaks = c(-10^(5:0), 0, 10^(0:5)),
@@ -38,7 +38,7 @@
 #' #setting individual arguments of the symlog function manually allows
 #' #e.g., to emphasize values smaller than 1
 #' dataset %>%                                     
-#' gg_day(col = Source) +
+#' gg_day(aes_col = Source) +
 #' ggplot2::scale_y_continuous(
 #' trans = symlog_trans(thr = 0.01),
 #' breaks = c(-10^(5:-1), 0, 10^(-1:5)),
diff --git a/README.Rmd b/README.Rmd
index 9d14770..0d9cee5 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -90,7 +90,7 @@ There is a wide range of options to the `gg_day()` function to customize the out
 ```{r, fig.retina=2}
 dataset %>% 
   gg_day(
-    col = MEDI >= 250, scales = "fixed", size = 0.5) + 
+    aes_col = MEDI >= 250, scales = "fixed", size = 0.5) + 
   scale_color_discrete(type = c("orange", "skyblue"))
 ```
 
@@ -103,7 +103,7 @@ sample.data.environment %>%
   gg_day(
     start.date = "2023-08-18",
     y.axis = `MELANOPIC EDI`,
-    col = Source,
+    aes_col = Source,
     scales = "fixed",
     geom = "line")
 ```
@@ -114,7 +114,7 @@ sample.data.environment %>%
   gg_day(
     end.date = "2023-08-15",
     y.axis = `MELANOPIC EDI`,
-    col = Source,
+    aes_col = Source,
     scales = "fixed",
     geom = "boxplot",
     group = interaction(Source, Datetime.rounded)) + 
diff --git a/README.md b/README.md
index 7815636..1fa6e58 100644
--- a/README.md
+++ b/README.md
@@ -126,7 +126,7 @@ options. You can also override most of the defaults, e.g., for different
 ``` r
 dataset %>% 
   gg_day(
-    col = MEDI >= 250, scales = "fixed", size = 0.5) + 
+    aes_col = MEDI >= 250, scales = "fixed", size = 0.5) + 
   scale_color_discrete(type = c("orange", "skyblue"))
 #> Scale for colour is already present.
 #> Adding another scale for colour, which will replace the existing scale.
@@ -147,7 +147,7 @@ sample.data.environment %>%
   gg_day(
     start.date = "2023-08-18",
     y.axis = `MELANOPIC EDI`,
-    col = Source,
+    aes_col = Source,
     scales = "fixed",
     geom = "line")
 #> Only Dates will be used from start.date and end.date input. If you also want to set Datetimes or Times, consider using the `filter_Datetime()` function instead.
@@ -170,7 +170,7 @@ sample.data.environment %>%
   gg_day(
     end.date = "2023-08-15",
     y.axis = `MELANOPIC EDI`,
-    col = Source,
+    aes_col = Source,
     scales = "fixed",
     geom = "boxplot",
     group = interaction(Source, Datetime.rounded)) + 
diff --git a/_pkgdown.yml b/_pkgdown.yml
index 4cac854..2c4ab87 100644
--- a/_pkgdown.yml
+++ b/_pkgdown.yml
@@ -15,20 +15,29 @@ reference:
     - import
     - import.Statechanges
   
-  - title: Process
+  - title: Insight
     desc: >
-      This section includes functions to process light logger data, e.g., to
-      validate and clean data, to filter, cut or aggreagate data, or to join 
-      datasets.
+      This section includes functions to gain more insight into light logger. 
+      Functions in this section will not return a version of the input dataset, 
+      but rather information based on it.
     contents:
+    - count.difftime
     - dominant_epoch
     - gapless_Datetimes
-    - gap_handler
     - gap_finder
+  
+  - title: Validate & Process
+    desc: >
+      This section includes functions to process light logger data, e.g., to
+      validate and clean data, to filter, cut or aggreagate data, or to join 
+      datasets. All of these functions will return a version of the input dataset.
+    contents:
+    - gap_handler
     - cut_Datetime
     - aggregate_Datetime
     - create_Time.data
     - filter_Datetime
+    - filter_Datetime_multiple
     - filter_Date
     - filter_Time
     - join.datasets
@@ -53,7 +62,15 @@ reference:
     contents:
     - gg_overview
     - gg_day
+    - gg_days
+    
+  - title: Helpers
+    desc: >
+      This section includes helper functions that are used in the other sections.
+    contents:
     - symlog_trans
+    - Datetime_breaks
+    - Datetime_limits
     
   - title: Datasets
     desc: >
diff --git a/man/count.difftime.Rd b/man/count.difftime.Rd
new file mode 100644
index 0000000..a936fd5
--- /dev/null
+++ b/man/count.difftime.Rd
@@ -0,0 +1,39 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/helper.R
+\name{count.difftime}
+\alias{count.difftime}
+\title{Counts the Time differences (epochs) per group (in a grouped dataset)}
+\usage{
+count.difftime(dataset, Datetime.colname = Datetime)
+}
+\arguments{
+\item{dataset}{A light logger dataset. Expects a \code{dataframe}. If not imported
+by \link{LightLogR}, take care to choose a sensible variable for the
+\code{Datetime.colname}.}
+
+\item{Datetime.colname}{column name that contains the datetime. Defaults to
+\code{"Datetime"} which is automatically correct for data imported with
+\link{LightLogR}. Expects a \code{symbol}. Needs to be part of the \code{dataset}.}
+}
+\value{
+a \code{tibble} with the number of occurences of each time difference per
+group
+}
+\description{
+Counts the Time differences (epochs) per group (in a grouped dataset)
+}
+\examples{
+#get a dataset with irregular intervals
+filepath <- system.file("extdata/sample_data_LYS.csv", package = "LightLogR")
+dataset <- import$LYS(filepath)
+
+#count.difftime returns the number of occurences of each time difference
+#and is more comprehensive in terms of a summary than `gap_finder` or 
+#`dominant_epoch`
+count.difftime(dataset)
+dominant_epoch(dataset)
+gap_finder(dataset)
+
+#irregular data can be regularized with `aggregate_Datetime`
+dataset \%>\% aggregate_Datetime(unit = "15 secs") \%>\% count.difftime()
+}
diff --git a/man/gg_day.Rd b/man/gg_day.Rd
index 10f5066..e3dbc50 100644
--- a/man/gg_day.Rd
+++ b/man/gg_day.Rd
@@ -10,7 +10,8 @@ gg_day(
   end.date = NULL,
   x.axis = Datetime,
   y.axis = MEDI,
-  col = NULL,
+  aes_col = NULL,
+  aes_fill = NULL,
   group = NULL,
   geom = "point",
   scales = "fixed",
@@ -36,9 +37,9 @@ by \link{LightLogR}, take care to choose a sensible variable for the \code{x.axi
 \item{start.date, end.date}{Choose an optional start or end date within your
 \code{dataset}. Expects a \code{date}, which can also be a \code{character} that is
 interpretable as a date, e.g., \code{"2023-06-03"}. If you need a Datetime or
-want to cut specific times of each day, use the \code{\link[=filter_Datetime]{filter_Datetime()}} function.
-Defaults to \code{NULL}, which means that the plot starts/ends with the
-earliest/latest date within the \code{dataset}.}
+want to cut specific times of each day, use the \code{\link[=filter_Datetime]{filter_Datetime()}}
+function. Defaults to \code{NULL}, which means that the plot starts/ends with
+the earliest/latest date within the \code{dataset}.}
 
 \item{x.axis, y.axis}{column name that contains the datetime (x, defaults to
 \code{"Datetime"} which is automatically correct for data imported with
@@ -47,10 +48,10 @@ melanopic EDI, which is a standard measure of stimulus strength for the
 nonvisual effects of light). Expects a \code{symbol}. Needs to be part of the
 \code{dataset}.}
 
-\item{col}{optional column name that defines separate sets and colors them.
-Expects anything that works with the layer data \code{\link[ggplot2:aes]{ggplot2::aes()}}. The
-default color palette can be overwritten outside the function (see
-examples).}
+\item{aes_col, aes_fill}{optional arguments that define separate sets and
+colors or fills them. Expects anything that works with the layer data
+\code{\link[ggplot2:aes]{ggplot2::aes()}}. The default color palette can be overwritten outside the
+function (see examples).}
 
 \item{group}{Optional column name that defines separate sets. Useful for
 certain geoms like \code{boxplot}.Expects anything that works with the layer
@@ -111,9 +112,9 @@ used to adjust to adjust size, linewidth, or linetype.}
 A ggplot object
 }
 \description{
-\code{\link[=gg_day]{gg_day()}} will create a simple ggplot for every data in a dataset. The result
-can further be manipulated like any ggplot. This will be sensible to refine
-styling or guides.
+\code{\link[=gg_day]{gg_day()}} will create a simple ggplot for every data in a dataset. The
+result can further be manipulated like any ggplot. This will be sensible to
+refine styling or guides.
 }
 \details{
 Besides plotting, the function creates two new variables from the given
@@ -139,7 +140,7 @@ end.date = "2023-08-16",
 x.axis = Datetime,
 y.axis = `MELANOPIC EDI`,
 y.axis.label = "mEDI (lx)",
-col = Source)
+aes_col = Source)
 plot
 
 #you can easily overwrite the color scale afterwards
diff --git a/man/import.Dataset.Rd b/man/import.Dataset.Rd
index 033dd88..e1fd94b 100644
--- a/man/import.Dataset.Rd
+++ b/man/import.Dataset.Rd
@@ -131,7 +131,7 @@ dplyr::slice(1500:1505) \%>\%
 flextable::flextable() \%>\%
 flextable::autofit()
 }\if{html}{\out{</div>}}\if{html}{\out{
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class="cl-4bc21640">}}\if{html}{\out{<p class="cl-4bc20d9e">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}Id\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</th>}}\if{html}{\out{</tr>}}\if{html}{\out{</thead>}}\if{html}{\out{<tbody>}}\if{html}{\out{<tr style="overflow-wrap:break-word;">}}\if{html}{\out{<td class="cl-4bc21641">}}\if{html}{\out{<p class="cl-4bc20d94">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}2023-07-14 13:04:18\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{<td class="cl-4bc21642">}}\if{html}{\out{<p class="cl-4bc20d94">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}29.88\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{<td class="cl-4bc2164a">}}\if{html}{\out{<p class="cl-4bc20d94">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}21,847.64\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{<td class="cl-4bc2164a">}}\if{html}{\out{<p 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class="cl-4bc0a9a4">}}22,033.77\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{<td class="cl-4bc2164a">}}\if{html}{\out{<p class="cl-4bc20d94">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}20,834.91\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{<td class="cl-4bc21668">}}\if{html}{\out{<p class="cl-4bc20d9e">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}sample_data_ActLumus\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{</tr>}}\if{html}{\out{<tr style="overflow-wrap:break-word;">}}\if{html}{\out{<td class="cl-4bc21641">}}\if{html}{\out{<p class="cl-4bc20d94">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}2023-07-14 13:06:18\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{<td class="cl-4bc21642">}}\if{html}{\out{<p class="cl-4bc20d94">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}29.81\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{<td class="cl-4bc2164a">}}\if{html}{\out{<p class="cl-4bc20d94">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}21,769.50\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{<td class="cl-4bc2164a">}}\if{html}{\out{<p class="cl-4bc20d94">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}20,600.82\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{<td class="cl-4bc21668">}}\if{html}{\out{<p class="cl-4bc20d9e">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}sample_data_ActLumus\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{</tr>}}\if{html}{\out{<tr style="overflow-wrap:break-word;">}}\if{html}{\out{<td class="cl-4bc21641">}}\if{html}{\out{<p class="cl-4bc20d94">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}2023-07-14 13:07:18\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{<td class="cl-4bc21642">}}\if{html}{\out{<p class="cl-4bc20d94">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}29.69\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{<td class="cl-4bc2164a">}}\if{html}{\out{<p class="cl-4bc20d94">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}21,177.20\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{<td class="cl-4bc2164a">}}\if{html}{\out{<p class="cl-4bc20d94">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}20,061.68\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{<td class="cl-4bc21668">}}\if{html}{\out{<p class="cl-4bc20d9e">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}sample_data_ActLumus\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{</tr>}}\if{html}{\out{<tr style="overflow-wrap:break-word;">}}\if{html}{\out{<td class="cl-4bc21641">}}\if{html}{\out{<p class="cl-4bc20d94">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}2023-07-14 13:08:18\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{<td class="cl-4bc21642">}}\if{html}{\out{<p class="cl-4bc20d94">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}29.44\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{<td class="cl-4bc2164a">}}\if{html}{\out{<p class="cl-4bc20d94">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}20,738.98\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{<td class="cl-4bc2164a">}}\if{html}{\out{<p class="cl-4bc20d94">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}19,662.14\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{<td class="cl-4bc21668">}}\if{html}{\out{<p class="cl-4bc20d9e">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}sample_data_ActLumus\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{</tr>}}\if{html}{\out{<tr style="overflow-wrap:break-word;">}}\if{html}{\out{<td class="cl-4bc21672">}}\if{html}{\out{<p class="cl-4bc20d94">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}2023-07-14 13:09:18\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{<td class="cl-4bc2167c">}}\if{html}{\out{<p class="cl-4bc20d94">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}29.31\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{<td class="cl-4bc2167d">}}\if{html}{\out{<p class="cl-4bc20d94">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}20,255.17\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{<td class="cl-4bc2167d">}}\if{html}{\out{<p class="cl-4bc20d94">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}19,203.94\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{<td class="cl-4bc21686">}}\if{html}{\out{<p class="cl-4bc20d9e">}}\if{html}{\out{<span class="cl-4bc0a9a4">}}sample_data_ActLumus\if{html}{\out{</span>}}\if{html}{\out{</p>}}\if{html}{\out{</td>}}\if{html}{\out{</tr>}}\if{html}{\out{</tbody>}}\if{html}{\out{</table>}}\if{html}{\out{</div>}}
 }
 }
 
diff --git a/man/symlog_trans.Rd b/man/symlog_trans.Rd
index 2970722..417e723 100644
--- a/man/symlog_trans.Rd
+++ b/man/symlog_trans.Rd
@@ -31,13 +31,13 @@ dplyr::mutate(MEDI = dplyr::case_when(
                                      .default = `MELANOPIC EDI`))
 #basic application where transformation, breaks and labels are set manually
 dataset \%>\%                                     
-gg_day(col = Source) +
+gg_day(aes_col = Source) +
 ggplot2::scale_y_continuous(
 trans = "symlog")
 
 #the same plot, but with breaks and labels set manually                            
 dataset \%>\%                                     
-gg_day(col = Source) +
+gg_day(aes_col = Source) +
 ggplot2::scale_y_continuous(
 trans = "symlog", 
 breaks = c(-10^(5:0), 0, 10^(0:5)),
@@ -46,7 +46,7 @@ labels = function(x) format(x, scientific = FALSE, big.mark = " "))
 #setting individual arguments of the symlog function manually allows
 #e.g., to emphasize values smaller than 1
 dataset \%>\%                                     
-gg_day(col = Source) +
+gg_day(aes_col = Source) +
 ggplot2::scale_y_continuous(
 trans = symlog_trans(thr = 0.01),
 breaks = c(-10^(5:-1), 0, 10^(-1:5)),
diff --git a/tests/testthat/test-helper.R b/tests/testthat/test-helper.R
new file mode 100644
index 0000000..2e3ca2c
--- /dev/null
+++ b/tests/testthat/test-helper.R
@@ -0,0 +1,9 @@
+test_that("count.difftime works", {
+  filepath <- system.file("extdata/sample_data_LYS.csv", package = "LightLogR")
+  dataset <- import$LYS(filepath, silent = TRUE)
+  dataset <- count.difftime(dataset)
+  dataset <- dataset$difftime
+  expect_equal(
+    dataset, c("15s", "16s", "17s", "18s") %>% lubridate::as.duration()
+    )
+})
diff --git a/tests/testthat/test-visualize_helper.R b/tests/testthat/test-visualize_helper.R
new file mode 100644
index 0000000..6f7d215
--- /dev/null
+++ b/tests/testthat/test-visualize_helper.R
@@ -0,0 +1,28 @@
+test_that("Datetime_breaks works", {
+  dataset <- c("2023-08-15", "2023-08-20")
+  expect_equal(Datetime_breaks(dataset),
+               c(1692100800, 1692187200, 1692273600, 1692360000, 1692446400) %>% 
+               lubridate::as_datetime())
+  expect_equal(Datetime_breaks(dataset, shift = 0), 
+               c(1692057600, 
+                 1692144000, 
+                 1692230400, 
+                 1692316800, 
+                 1692403200, 
+                 1692489600) %>% lubridate::as_datetime())
+  expect_equal(Datetime_breaks(dataset, by = "12 hours"), 
+               c(1692100800, 1692144000, 1692187200, 1692230400, 1692273600, 
+                 1692316800, 1692360000, 1692403200, 1692446400, 1692489600) %>% 
+                 lubridate::as_datetime())
+})
+
+test_that("Datetime_limits works", {
+  dataset <- c("2023-08-15", "2023-08-20")
+  breaks <- Datetime_breaks(dataset)
+  expect_equal(Datetime_limits(breaks), 
+               c("2023-08-15", "2023-08-20") %>% lubridate::as_datetime())
+  expect_equal(Datetime_limits(breaks, start = lubridate::ddays(1)), 
+               c("2023-08-16", "2023-08-20") %>% lubridate::as_datetime())
+  expect_equal(Datetime_limits(breaks, length = lubridate::ddays(2)), 
+               c("2023-08-15", "2023-08-18") %>% lubridate::as_datetime())
+})