Update pages/1_probability.py

pages/1_probability.py

@@ -1,13 +1,9 @@
 import streamlit as st
 import pandas as pd
 import numpy as np 
-import random
 import requests
 from streamlit_lottie import st_lottie
-
 st.title("Probability")
-
-
 def load_lottieurl(url: str):
     r = requests.get(url)
     if r.status_code != 200:
@@ -16,32 +12,9 @@ def load_lottieurl(url: str):
 
 
 
-lottie_data_analysis = load_lottieurl("https://lottie.host/3dca1930-6496-495f-86ad-36043c660e37/I9IWTvZpPo.json")
-
-
-st_lottie(lottie_data_analysis, height=150, key="data_analysis")
-st.title("STATISTICS")
-
-
-st.subheader('What is Statistics?')
+lottie_probability = load_lottieurl("https://lottie.host/3dca1930-6496-495f-86ad-36043c660e37/I9IWTvZpPo.json")
 
-st.markdown("""It is a huge field in this we are going to deal data.The below mentioned are some of the operations which we will be doing on data""",divider=True)
 
-st.markdown("""
-<ul  class="icon-bullet">
-<li>Collecting</li>
-<li>Interpreting</li>
-<li>Analysis</li>
-<li>Structuring</li>
-</ul>""",unsafe_allow_html=True)
+st_lottie(lottie_probability, height=150, key="Probability")
 
 
-st.subheader("Why is Statistics Important?")
-st.markdown(""""Statistics is essential for making informed decisions. By transforming raw data into meaningful information, it helps in:
-<ul  class="icon-bullet">
-<li>Understanding trends and patterns.</li>
-<li>Making predictions and forecasts.</li>
-<li>Identifying relationships between variables.</li>
-<li>Testing hypotheses and validating results.</li>
-<li>Communicating findings effectively through data visualization.</li>
-</ul>""",unsafe_allow_html=True)