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Exploratory Data Analysis of Indian Startup Funding

CH. VASUNDHARA, EEPENAGANDLA SRIKANTH

Assistant Professor, Department Of MCA, MCA Final Semester,

Master of Computer Applications,

Sanketika Vidya Parishad Engineering College, Vishakhapatnam, Andhra Pradesh, India.

Abstract:

The Indian startup ecosystem has witnessed rapid growth over the past decade, making it crucial to understand funding patterns and investment behaviour. This project aims to analyse and visualize startup funding trends in India through Exploratory Data Analysis (EDA). A comprehensive dataset was cleaned and pre-processed to correct inconsistencies in dates, city names, investment types, and funding amounts. Missing and undisclosed values were handled appropriately to ensure data quality.  The analysis uncovers key insights such as the rise and fall of funding activity over time, the dominance of cities like Bangalore and Mumbai, and the popularity of sectors like E-Commerce, Technology, and Healthcare. It identifies top investors and explores the most common funding types, including Seed and Private Equity. A geographic visualization highlights major startup hubs across India. Interactive charts and maps were built using Streamlit, matplotlib, seaborn, plotly, and folium, making the dashboard user-friendly and insightful. This EDA serves as a powerful tool for stakeholders to explore the dynamics of startup funding, guiding data-driven decisions for entrepreneurs, investors, and policymakers.

Index Terms: Exploratory Data Analysis (EDA), Data Cleaning, Data Preprocessing, Missing Value Imputation, Feature Engineering, Date Normalization, Streamlit, Plotly