https://github.com/27ahmad/foreign-direct-investment-analytics

This repository contains an exploratory data analysis (EDA) and visualization project on a dataset of Foreign Direct Investment (FDI) by companies. The objective is to analyze FDI trends and present key insights through an interactive Tableau dashboard.
https://github.com/27ahmad/foreign-direct-investment-analytics

data-analysis eda matplotlib pandas python seaborn tableau

Last synced: 15 days ago
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This repository contains an exploratory data analysis (EDA) and visualization project on a dataset of Foreign Direct Investment (FDI) by companies. The objective is to analyze FDI trends and present key insights through an interactive Tableau dashboard.

• Host: GitHub
• URL: https://github.com/27ahmad/foreign-direct-investment-analytics
• Owner: 27ahmad
• Created: 2024-05-10T08:56:21.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-05-17T04:47:11.000Z (9 months ago)
• Last Synced: 2024-05-17T05:34:48.245Z (9 months ago)
• Topics: data-analysis, eda, matplotlib, pandas, python, seaborn, tableau
• Language: Jupyter Notebook
• Homepage: https://public.tableau.com/app/profile/ahmad.ajaz/viz/FDIdashboard_17155051287510/Dashboard1
• Size: 961 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        

# Foreign Direct Investment (FDI) Data Analysis and Dashboard

This repository contains an exploratory data analysis (EDA) and visualization project on a dataset of Foreign Direct Investment (FDI) by companies. The objective is to analyze FDI trends and present key insights through an interactive Tableau dashboard.

## Project Overview

The project involves the following steps:

1. **Data Cleaning and Preprocessing**: Handling missing values, correcting data types, and performing feature engineering.

2. **Exploratory Data Analysis (EDA)**: Using Python to analyze data distributions, identify patterns, and detect anomalies. 

3. **Visualization**: Creating a Tableau dashboard to present key findings and metrics.

## Repository Structure

```

Foreign-Direct-Investment-Analytics/

│

├── data/

│   ├── processed/

│

├── notebooks/

│   └── EDA.ipynb

│

├── tableau/

│   └── FDI_Dashboard.twbx

│

├── images/

│   └── dashboard_screenshot.png

│

└── README.md

```

- **data/**: Contains processed datasets.

- **notebooks/**: Jupyter notebooks used for data cleaning and exploratory data analysis.

- **tableau/**: Tableau workbook file containing the dashboard.

- **images/**: Screenshot of the Tableau dashboard.

## Tableau Dashboard

The Tableau dashboard provides insights into:

- Yearly trends and patterns in FDI

- Top sectors attracting FDI.

![Dashboard Screenshot](images/dashboard_screenshot.png)

## Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.

## License

This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.