Update app.py

app.py

@@ -49,9 +49,12 @@ useing three ways \n * Mode \n * Median \n * Mean""")
 st.subheader("MODE",divider=True)
 st.markdown("""Mode will be giving the centeral tendency based on most frequently occuring data.The major drawback of mode is its frequecy baised it 
 mostly focus on the data which is occuring most times.Here in this mode we might come across some situation's like """)
-st.markdown(''':violet[No_Mode] \n Let's understand why this situation raises for exaple let's take list of numbers [1,2,3,4,5] here we don't have 
+st.markdown(''':violet[No_Mode] \n  Let's understand why this situation raises for example let's take list of numbers [1,2,3,4,5] here we don't have 
 frequency of numbers repeating in this senario we will come accross No_Mode situaton.
 ''')
+st.markdown(''':violet[Uni_Mode] \n  Let's understand why this situation raises for example let's take list of numbers [1,1,1,2,3,4,5]. here by 
+checking the list it will tend to know that the frequency of number 1 is more and it returns the value 1 as output.
+''')
 def mode(*args):
     list1 = list(args)
     dict1 = {}