diff --git a/Chart.py b/Chart.py
index d3407fe..3d048f5 100644
--- a/Chart.py
+++ b/Chart.py
@@ -1,5 +1,6 @@
 # Chart.py
 import matplotlib.pyplot as plt
+import numpy as np
 from matplotlib_venn import venn2, venn3
 
 class Chart:
@@ -22,11 +23,19 @@ def _apply_common_properties(self):
         if self.ylabel:
             plt.ylabel(self.ylabel)
 
-    def box(self, data):
-        # Prepare a box diagram for visualizing the distribution of a dataset.
+    def box(self, data, labels=None):
+        # Prepare a bar chart to visualize the values in a box-like manner.
         self.figure = plt.figure(figsize=(10, 6))
-        plt.boxplot(data)
+        bar_width = 0.5  # Width of the bars
+        indices = range(len(data))  # Indices for the bars
+
+        plt.bar(indices, data, width=bar_width, alpha=0.7, color='b')
+
+        if labels:
+            plt.xticks(indices, labels)  # Set the x-ticks to the provided labels
+
         self._apply_common_properties()
+        plt.grid(axis='y')  # Add gridlines to the y-axis for better readability
 
     def pie(self, data, labels):
         # Prepare a pie chart to show percentage distribution.
diff --git a/Main.py b/Main.py
index 6c344e9..7067f0b 100644
--- a/Main.py
+++ b/Main.py
@@ -1,5 +1,6 @@
 # EXAMPLE PROGRAM
 import FrequencyTable as ft
+import Chart as ct
 import pandas as pd
 import tabulate as tabulate
  
@@ -69,3 +70,17 @@
 # print(tablesimple)
 print(tablegrouped)
 
+
+# Initialize the chart object with common properties
+chart = ct.Chart(title="Dataset Box Diagram", xlabel="Data", ylabel="Value")
+
+# Prepare a box diagram
+chart.box(dataset)
+
+# Display the prepared chart
+chart.show()
+
+# Example for pie chart
+chart = ct.Chart(title="Grouped Frequency Pie Chart")
+chart.pie(data.grouped.frequency, labels=data.grouped.ranges)
+chart.show()
\ No newline at end of file
diff --git a/README.md b/README.md
index beca984..22656be 100644
--- a/README.md
+++ b/README.md
@@ -10,7 +10,6 @@
 ### Required
 - Matplotlib
 - Matplotlib_Venn
-- Seaborn
 - Numpy
 - Tabulate
 - Pandas