Update pages/Measurement_of_disperssion.py

pages/Measurement_of_disperssion.py

@@ -28,31 +28,22 @@ st.subheader("Relative Range")
 st.latex(r'''
     \text{Relative Range} = \frac{\text{Absolute Range}}{\text{Mean}} \times 100
 ''')
-import streamlit as st
-import numpy as np
-
 def absolute_range(list1):
     max_val = np.max(list1)
     min_val = np.min(list1)
     return max_val - min_val
-
 st.title("Calculate Range")
-
 num_input = st.text_input("Enter the values separated by commas (e.g., 1,2,3,4)", key="num_input")
-
-# Initialize list1 to handle the case when num_input is empty
 list1 = []
-
-# Process the input only if it's not empty
 value = num_input.split(",")
 for i in value:
     if i.isdigit():
         list1.append(int(i))
-# Check if list1 is not empty and calculate the range
-result = absolute_range(list1)
-st.write("Absolute Range:", result)
-
-
+if list1:
+    result = absolute_range(list1)
+    st.write("Absolute 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.
 ''')