diff --git a/visualizer/visualizer/DataFrameCreator.py b/visualizer/visualizer/DataFrameCreator.py
index 4eaabcc238ec83c41dd322e8017b36620a59ce04..38d09a142527ef7efd5a8f7639af59817d0292c5 100644
--- a/visualizer/visualizer/DataFrameCreator.py
+++ b/visualizer/visualizer/DataFrameCreator.py
@@ -15,64 +15,38 @@ class DataFrameCreator:
             merged_dfs[outer_key] = merged_dataframe_sorted
         return merged_dfs
 
-    def read_data(self, root, _, folder):
-        dataframe, dataframe_type, dataframe_name = "", "", ""
-        for filename in folder:
-            if filename.endswith('.dat'):
-                file_path = os.path.join(root, filename)
-                dataframe_name = os.path.splitext(filename)[0]
-                dataframe_type = dataframe_name.split('-')[1]
-                dataframe = pd.read_csv(file_path, delimiter=" ", header=0)
-        return dataframe, dataframe_type, dataframe_name
-
-    def create_dataframe_long(self, root, _, folder):
+    def create(self):
         dfs = {}
-        for filename in folder:
-            if filename.endswith('.dat'):
-                dataframe, dataframe_type, dataframe_name = self.read_data(root, _, folder)
-                if dataframe_type in dfs:
-                    inner_dict = dfs[dataframe_type]
-                    if dataframe_name in inner_dict:
-                        inner_dict[dataframe_name] = pd.concat([inner_dict[dataframe_name], dataframe],
-                                                               ignore_index=True)
+        for root, _, folder in os.walk(self.folder_path):
+            if os.path.basename(root) == "statistics":
+                print("this was statistic")
+                continue
+            elif os.path.basename(root) == "Data_Set_Long":
+                print("this was long")
+                continue
+            for filename in folder:
+                if filename.endswith('.dat'):
+                    file_path = os.path.join(root, filename)
+                    dataframe_name = os.path.splitext(filename)[0]
+                    dataframe_type = dataframe_name.split('-')[1]
+                    dataframe = pd.read_csv(file_path, delimiter=" ", header=0)
+
+                    if dataframe_type in dfs:
+                        inner_dict = dfs[dataframe_type]
+                        if dataframe_name in inner_dict:
+                            # DataFrame hinzufügen
+                            inner_dict[dataframe_name] = pd.concat([inner_dict[dataframe_name], dataframe],
+                                                                   ignore_index=True)
+                        else:
+                            inner_dict[dataframe_name] = dataframe
                     else:
-                        inner_dict[dataframe_name] = dataframe
-                else:
-                    dfs[dataframe_type] = {
-                        dataframe_name: dataframe
-                    }
-        print(dfs)
-        return dfs
-
-    def create_dataframe_statistics(self, root, _, folder):
-        print("statistics" + root + folder)
+                        dfs[dataframe_type] = {
+                            dataframe_name: dataframe
+                        }
 
-    def create_dataframes_various(self, root, _, folder):
-        dfs = {}
-
-        dataframe, dataframe_type, dataframe_name = self.read_data(root, _, folder)
-        if dataframe_type in dfs:
-            inner_dict = dfs[dataframe_type]
-            if dataframe_name in inner_dict:
-                inner_dict[dataframe_name] = pd.concat([inner_dict[dataframe_name], dataframe], ignore_index=True)
-            else:
-                inner_dict[dataframe_name] = dataframe
-        else:
-            dfs[dataframe_type] = {
-                dataframe_name: dataframe
-            }
         merged_dfs = self._merge_dataframes(dfs)
+
         return merged_dfs
 
-    def create(self):
-        various_frames = {}
-        for root, _, folder in os.walk(self.folder_path):
-            if os.path.basename(root) == "statistics":
-                statistic_frames = self.create_dataframe_statistics(root, _, folder)
-            elif os.path.basename(root) == "Data_Set_Long":
-                long_frames = self.create_dataframe_long(root, _, folder)
-            else:
-                self.create_dataframes_various(root, _, folder)
 
-        return various_frames
 
diff --git a/visualizer/visualizer/SeabornPlotter.py b/visualizer/visualizer/SeabornPlotter.py
index 186aae4e92b7b9e76c4d89678f7d0e25a48b1f5a..cb9e077bab82b3e343961ccc56bd89d1866b2844 100644
--- a/visualizer/visualizer/SeabornPlotter.py
+++ b/visualizer/visualizer/SeabornPlotter.py
@@ -45,18 +45,6 @@ class SeabornPlotter:
         plt.grid(True)
         plt.xticks(rotation=45)
 
-    @staticmethod
-    def plot_histogram_long(x, y, title, bins_x, bins_y):
-        f, ax = plt.subplots(figsize=(16, 9))
-        sns.histplot(x=x, y=y, color="blue", bins=[bins_x, bins_y])
-        ax.set_xscale('log')
-        ax.set_yscale('log')
-        ax.set_xlabel("Data size [Bytes]")
-        ax.set_ylabel("Time/Event [s]")
-        plt.title(title)
-        plt.grid(True)
-        plt.xticks(rotation=45)
-
     def plot(self):
         df = self.dataframe
 
diff --git a/visualizer/visualizer/main.py b/visualizer/visualizer/main.py
index 0742a25ce68c01b7cadee6cbf6d9a4971813a25d..56dde96a987db9e7666a7c23dea33459ecda4c85 100644
--- a/visualizer/visualizer/main.py
+++ b/visualizer/visualizer/main.py
@@ -17,11 +17,11 @@ def main():
     # Import Data
     creator = DataFrameCreator(data_path)
     dataframes = creator.create()
+
     for frame in dataframes.keys():
         if not dataframes[frame].empty:
             # Setup Plotter
             frame_name = frame
-            print(frame_name)
             plotter = SeabornPlotter(dataframes[frame], frame_name)
 
             # Plotter run