Analysis on Unicorn Companies

This repository contains Unicorn Companies Dataset and the EDA report document for the Explaratory Data Analysis on 1074 unicorn companies in 46 countries worldwide.

This project aims at exploring the Application of DIKW and EDA on this Dataset which Contain 10 Columns:

1. Company: Name of the unicorn company.
2. Valuation: The company’s valuation in USD (as a string initially).
3. Date Joined: The date the company achieved unicorn status.
4. Industry: The sector or field the company operates in.
5. City: The city where the company is headquartered.
6. Country/Region: The country or region of the company’s headquarters.
7. Continent: The continent the company belongs to.
8. Year Founded: The year the company was established (stored as an integer).
9. Funding: The total funding raised by the company (as a string initially).
10. Select Investors: Key investors in the company.

The DIKW framework helps us systematically process the unicorn dataset to generate actionable insights. We have conducted a detailed Exploratory Data Analysis and generated the required visuals. Now we will use this structured approach to turning raw data into meaningful insights for stakeholders, helping both startups and investors strategize effectively. For this specific EDA report, we would apply the DIKW framework. The application of DIKW would be as follows:

1. Data
2. Analysis = Information + Knowledge
3. Recommendations = Wise decisions based on the proper Analysis