Table of Contents
Your company executives have an interest in investing in the Indian Startup Ecosystem. You have been tasked with analysing the available data from 2018 to 2021 and advice on the best course of action for the company.
The project uses the CRISP-DM Framework. Our first part covers the Business Understanding and external research to provide a base for our work and then we head to the second phase where we look at the Datasets we have and analyse the ecosystem fully to generate insights. We finalise by a conclsuion of what our analysis has uncovered and propose a course of action for the company
These are the key libraries used in the project.
- Jupyter Notebook
- Pandas
- Seaborn
- Matplotlib
- Thefuzz
- PowerBI
To get a local copy up and running follow these simple example steps.
This is a list things you need to run the notebook and how to install them.
-
Python V3.11.6
pip install Python -
Pandas
pip install pandas -
Matplotlib
pip install matplotlib -
Seaborn
pip install seaborn -
Jupyter Notebook
pip install Jupyter -
Thefuzz
pip install thefuzz
Below is an example of how you can install and run the notebook. This project relies on any external dependencies or services. Internet connectivity is necessary
-
Clone the repo
git clone https://github.com/Rama-Mwenda/Indian_Ecosystem_Analysis.git -
Install packages
-
Download
startup_funding.csvand place it in the root directory. -
Run the notebook
The Analysis was deployed on a powerbi dashboard like below. The dashboard is interactive and can be used to gather insights.
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Distributed under the GNU GENERAL PUBLIC LICENSE. See LICENSE.txt for more information.
Ramadhan Mwenda - www.linkedin.com/in/rama-mwenda - ramadhanmwenda@azubiafrica.org
Project Link: https://github.com/Rama-Mwenda/Indian_Ecosystem_Analysis
Resources I found helpful when building the project.