Update pages/Measurement_of_disperssion.py

pages/Measurement_of_disperssion.py

@@ -73,6 +73,24 @@ st.subheader("Relative Quartile Deviation")
 st.latex(r'''
     \text{Relative QD} = \frac{Q3 - Q1}{Q3 + Q1} \times 100
 ''')
+def abs_quartile_dev(list1):
+    q1=np.percentile(list1,25)
+    q3=np.percentile(list1,75)
+    return round((q3-q1)/2,2)
+st.title("Absolute Quartile Deviation")
+num_input2=st.text_input("Enter the values separated by commas (e.g., 1,2,3,4)", key="num_input2")
+value=num_input2.split(",")
+list1=[]
+for i in value:
+    if i.isdigit():
+        list1.append(int(i))
+    else:
+        pass
+if list1:
+    result=relative_range(list1)
+    st.write("Absolute 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
 ''')