Update pages/Measurement_of_disperssion.py

pages/Measurement_of_disperssion.py

@@ -32,7 +32,7 @@ def absolute_range(list1):
     max_val = np.max(list1)
     min_val = np.min(list1)
     return max_val - min_val
-st.title("Calculate Range")
+st.title("Calculate Absolute Range")
 num_input = st.text_input("Enter the values separated by commas (e.g., 1,2,3,4)", key="num_input")
 list1 = []
 value = num_input.split(",")
@@ -44,6 +44,24 @@ if list1:
     st.write("Absolute Range:", result)
 else:
     st.write("Please enter valid numbers.")
+def relative_range(list1):
+  max=np.max(list1)
+  min=np.min(list1)
+  return (max-min)/(max+min)*100
+st.title("Calculate Relative Range")
+num_input1=st.text_input("Enter the values separated by commas (e.g., 1,2,3,4)", key="num_input1")
+value=num_input1.split(",")
+list1=[]
+for i in value:
+    if i.isdigit():
+        list1.append(int(i))
+    else:
+        pass
+if list1:
+    result=relative_range(list1)
+    st.write("Relative Range",result)
+else:
+    st.write("Please enter valid numbers.")
 st.markdown(''':orange[**Quartile Deviation**] is one of the measure to find the disperssion.In this type the data is divided into 4 equal parts.
 It will mostly focus on the central data.
 ''')