Startup Investment Analysis (Shark Tank Data)
This project provides an interactive Tableau dashboard and data analysis based on Shark Tank India startup pitches. It explores funding trends, founder demographics, industry-wise distributions, and conversion metrics using real-world pitch data.
shark_tank.csv– Cleaned dataset containing startup names, industry, funding requests, and outcomes.SharkTank_Analysis.twbx– Tableau Packaged Workbook file containing all the dashboards and visualizations.README.md– This documentation file.
Bar chart showing total deal amount received by startups across various industries.
Treemap visualizing industries based on the volume of offers received and accepted.
Pie chart showing the gender split between male and female presenters.
A funnel chart representing the startup journey:
- Total Startups → Received Offers → Accepted Offers.
Scatterplot comparing original funding ask vs actual deal amount.
- Food and Beauty/Fashion dominate in terms of funding received.
- Male founders are significantly more common, though female representation is notable in certain sectors.
- Not all offers are accepted, indicating negotiation or valuation gaps.
- Some startups received more than they asked for, while others settled for less.
- Tableau: Data visualization and dashboard creation.
- Excel / CSV: Data cleaning and pivot preparation.
- Clone or download this repository.
- Open the
.twbxfile in Tableau Desktop. - Interact with filters, hover for tooltips, and explore insights.
Created by: Abhijeet Kuanr
📧 Email: abhijeet.kuanr@gmail.com
🔗 LinkedIn: abhijeet-kuanr-6a2672160
This project is open-source and free to use under the MIT License.