In this project, we analyze startup funding data to gain insights into the funding landscape for startups. We use data analysis techniques in Python, specifically using the pandas and numpy libraries, to clean and wrangle the data, and data visualization techniques to present the key findings. The case study focuses on the problem of initial funding for startups, and aims to provide valuable insights for entrepreneurs and investors.
To run this project, you will need to have Python and the following libraries installed:
-pandas
-numpy
-matplotlib
-seaborn
You can install them using pip:
pip install pandas numpy matplotlib seaborn
The project aims to provide a detailed analysis of the startup funding scenario and helps in identifying the key factors that help in getting initial funding. It provides valuable insights for entrepreneurs and investors, and can help in decision making when it comes to startup funding. The code and findings in the project can be used as a starting point for further research and analysis.
https://medium.com/@ankitladva11/eda-part1-unlocking-the-secrets-of-startup-funding-60ae544f124c