diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..32e9f56e0da3942878a4f860fbce195e3ec1e593
Binary files /dev/null and b/requirements.txt differ
diff --git a/src/main.py b/src/main.py
index 318d6e39b345e32a18a1579339d0dc9f6a6ca597..d5229be18f387128eb0e780fc688e6a5facffea1 100644
--- a/src/main.py
+++ b/src/main.py
@@ -10,6 +10,7 @@ from enum import Enum
 from sklearn.manifold import MDS
 import scipy
 from kPOD import k_pod
+import time
 
 
 class Categories(Enum):
@@ -471,6 +472,9 @@ class Statistics:
 
         return
 
+    def mean_time(self):
+        return self.df["TIME_SUM"].mean()
+
 
 def setup_dataframes():
     return Interviews(), Variables(), Values(), ProductCategories(), Rankings()
@@ -482,13 +486,14 @@ if __name__ == '__main__':
     df_filtered = interview.get_filtered(product_categories)
     plotter = Plotter(df_filtered, product_categories)
     statistics = Statistics(df_filtered, product_categories)
-    plotter.plot_groups(variables.get_groups())
-    plotter.plot_sex()
-    plotter.plot_faculty()
-    for example in Categories:
-        plotter.plot_item(example, 'top')
-        plotter.plot_item(example, 'mid')
-        plotter.plot_item(example, 'low')
+    # plotter.plot_groups(variables.get_groups())
+    # plotter.plot_sex()
+    # plotter.plot_faculty()
+    # plotter.plot_item(example, 'top')
+    # plotter.plot_item(example, 'mid')
+    # plotter.plot_item(example, 'low')
+    # plotter.plot_boxes(example, 5)
         plotter.plot_boxes(example, 6)
     print(statistics.calc_corr())
     print(statistics.similarity_by_ranked_scales(rankings.get_all_rankings()))
+    print(time.strftime('%M:%S', time.gmtime(statistics.mean_time())))