Update pages/Measurement_of_disperssion.py

pages/Measurement_of_disperssion.py

@@ -43,7 +43,7 @@ if list1:
     result = absolute_range(list1)
     st.write("Absolute Range:", result)
 else:
-    st.write("Please enter valid numbers.")
+    st.write("Please enter valid numbers.") 
 def relative_range(list1):
   max=np.max(list1)
   min=np.min(list1)
@@ -91,6 +91,24 @@ if list1:
     st.write("Absolute Quartile Deviation",result)
 else:
     st.write("Please enter valid numbers.")
+def rel_quartile_dev(list1):
+    q1=np.percentile(list1,25)
+    q3=np.percentile(list1,75)
+    return round(((q3-q1)/(q3+q1))*100,2) 
+st.title("Relative Quartile Deviation")
+num_input3=st.text_input("Enter the values separated by commas (e.g., 1,2,3,4)", key="num_input3")
+value=num_input3.split(",")
+list1=[]
+for i in value:
+    if i.isdigit():
+        list1.append(int(i))
+    else:
+        pass
+if list1:
+    result=relative_range(list1)
+    st.write("Relative Quartile Deviation",result)
+else:
+    st.write("Please enter valid numbers.")
 st.markdown(''':orange[**Varience**] is one of the measure to find the disperssion.It is one of the best measure to find the disperssion.The only
 drawback is when in Varience is in order to overcome negitive value we square them thus the distance is doubled
 ''')