Update README.md

README.md

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 ---
-title: Dice-Roll-Treemap-Plotly
+title: Plotly-Graph-Objects-Treemap-101
 emoji: 📈
 colorFrom: green
 colorTo: indigo
@@ -10,4 +10,38 @@ pinned: false
 license: mit
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+📊 Randomized Treemap Graphs for Demonstrating Data Variation 📈
+
+🔍 Overview
+- Introduction - Purpose - Data Visualization
+
+🧮 Methodology
+- Statistical Analysis - Random Sampling - Treemap Graphs
+
+🚀 Implementation - Rendering Charts with Streamlit - Example Code
+
+👋 Conclusion - Summary - Use Cases - Fun Facts
+
+🔍 Overview  👋 Hello! In this article, we will learn about Randomized Treemap Graphs for Demonstrating Data Variation! 📊📈
+
+🧮 Methodology:
+1. 📈 Statistical Analysis: We'll use statistical analysis to demonstrate variation in data.
+2. 🎲 Random Sampling: We'll generate random data to create our treemap graphs.
+3. 🌳 Treemap Graphs: We'll use treemap graphs to display our data in a visually engaging way.
+
+🚀 Implementation
+1. 📊 Rendering Charts with Streamlit: We'll use Streamlit to render our treemap graphs.
+2. 👀 Example Code: Here's an example code snippet to get you started!
+
+```
+import plotly.express as px
+import streamlit as st
+
+# Generate random data
+data = px.data.tips()
+fig = px.treemap(data, path=['day', 'time', 'value'], values='total_count')
+
+# Render chart with Streamlit
+st.plotly_chart(fig)
+
+```