- 📖 About the Project
- 💻 Getting Started
- 👥 Authors
- 🤝 Contributing
- 🔭 Future Features
- ⭐️ Show your support
- 🙏 Acknowledgements
In this project a brief analysis has been done by our team in the export economy of Bangldesh for the past three decades. The data utilized for this project was collected from the website of Observatory of Economic Complexity (OEC) and International Monetary Fund. The thorough investigation has been done with the help of several python libraries including Pandas, Matplotlib, NumPy, Plotly,
and IneualiPy
. The detailed project report and presentation are added to this repository for the understanding of our analysis and the outcome of the project.
Python3
,Pandas
,NumPy
,Matplotlib
,Plotly
, andIneualiPy
- This project shows the data cleaning process using
Pandas
. - This project collects data from two open source server and makes the data usable for analysis and visualization.
- This project includes detailed visualization with minimal styling for the understanding and demonstration of the insights of the collected data.
- This project also includes the utilization of
GeoJSON
to plot a choropleth map for better visualization.
To clone the repository in local environment try following steps.
- A web browser like Google Chrome.
- A code editor like Visual Studio Code with Git.
-
Python3
,NumPy
,Pandas
,matplotlib
,iequalipy
andplotly
.
You can check if Git is installed by running the following command in the terminal.
$ git --version
Likewise for python
and pip
for package installation.
$ python --version
$ pip install pandas
$ pip install numpy
$ pip install matplotlib
$ pip install inequalipy
$ pip install plotly
Clone the repository using this link.
In the terminal, go to your file directory and run this command.
$ git clone https://github.com/PrangonGhose/Analysis_of_Bangladesh_economic_complexity.git
In the terminal, run these commands to get into development.
$ cd Analysis_of_Bangladesh_economic_complexity
👤 Prangon Ghose
- GitHub: @PrangonGhose
- LinkedIn: Prangon Ghose
👤 Maiwand Qayomi
- GitHub: @Qayomimaiwand
👤 Salamullah
- GitHub: @Salaamullah
Contributions, issues, and feature requests are welcome! Add suggestions by opening new issues.
Feel free to check the issues page.
- Build a machine learning model to predict the future trade values and biggest investors for each business sector of Bangladesh for the upcoming fiscal years.
Give a ⭐️ if you like this project!
Authors would like to thank:
- Observatory of Economic Complexity (OEC)
- Internation Monetory Fund
- Instructor and Supervisor: Liubov Tupikina
- Instructor and Supervisor: Marc Santolini