Spaces:
Build error
Build error
Update app.py
Browse files
app.py
CHANGED
|
@@ -46,6 +46,10 @@ the key points of descriptive statistics are stated below.\n KEY COCEPTS\n * Mea
|
|
| 46 |
st.subheader("Measure Of Central Tendency",divider=True)
|
| 47 |
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
|
| 48 |
useing three ways \n * Mode \n * Median \n * Mean""")
|
|
|
|
|
|
|
|
|
|
|
|
|
| 49 |
def mode(*args):
|
| 50 |
list1 = list(args)
|
| 51 |
dict1 = {}
|
|
|
|
| 46 |
st.subheader("Measure Of Central Tendency",divider=True)
|
| 47 |
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
|
| 48 |
useing three ways \n * Mode \n * Median \n * Mean""")
|
| 49 |
+
st.subheader("MODE",divider=True)
|
| 50 |
+
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
|
| 51 |
+
mostly focus on the data which is occuring most times.Here in this mode we might come across some situation's like : violet[no_mode] : violet[uni_mode]
|
| 52 |
+
: violet[bi_mode] : violet[tri_mode] : violet[multi_mode]""")
|
| 53 |
def mode(*args):
|
| 54 |
list1 = list(args)
|
| 55 |
dict1 = {}
|