Update README.md

README.md

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 # StartUp Investments EDA
 
-## **Background & Objectives**
+## **1. Background & Objectives**
 This project explores a comprehensive dataset of startup investments (sourced from Crunchbase) to uncover the primary factors that predict a startup's survival and trajectory in a competitive market. 
 
 Through this Exploratory Data Analysis (EDA), we analyze historical funding data, investment rounds, and market categories to determine which variables drive specific company outcomes - namely, whether a business is ultimately "closed" or "acquired". In the context of this research, an acquisition serves as the most definitive indicator that a startup has survived and generated sufficient market value to be purchased and continue its operations.
 
-## **Research Question**
+## **2. Research Question**
 Based on historical investment data, what are the strongest predictors of a startup being acquired (an exit)?
 
-## **Dataset Overview**
+## **3. Dataset Overview**
 
-**Dataset Characteristics**
+### Dataset Characteristics
 
 The dataset provides a comprehensive look into the global startup ecosystem, utilizing data from Crunchbase—the premier platform for tracking private companies and investment trends. It encompasses extensive financial metrics, ranging from specific investment amounts across various rounds to debt and grants, alongside critical operational details such as market categories and company status. This specific version was sourced from Kaggle to analyze the factors driving startup survival and acquisition.