Update app.py

app.py

@@ -45,4 +45,26 @@ descriptive statistics can be performed on sample data as well as population dat
 the key points of descriptive statistics are stated below.\n KEY COCEPTS\n * Measurement of Central Tendency which involves finding Mean, Median, and Mode.\n * Measurement of Dispersion which involves finding Range, Variance and Standard Deviation.\n * Distribution which gives how frequently the data is occurring some of examples of distribution are Gaussian, Random, and Normal distribution""")
 st.subheader("Measure Of Central Tendency",divider=True)
 st.markdown("""The measure of central tendency is used to find the central average value of the data.The central tendency can be computed by 
-useing three ways \n * Mode \n * Median \n * Mean""")
+useing three ways \n * Mode \n * Median \n * Mean""")
+def mode(list1):
+    dict1={}
+    dict2={}
+    set1=set(list1)
+    for i in list1:
+        for j in set1:
+            dict1[j]=list1.count(j)
+    max_value=max(dict1.values())
+    count = [key for key, value in dict1.items() if value==max_value]
+    if max_value==1:
+        print('no mode')
+    elif len(count)==len(set1):
+        print('no mode')
+    elif len(count)==1:
+        dict2[count[0]]= dict1.get(count[0])
+        print(dict2)
+    elif len(count)==2:
+        print('bi mode')
+    elif len(count)==3:
+        print('tri mode')
+    else:
+        print('multimode')