An interactive, responsive dashboard visualizing Kenya public tender data using Plotly, Pandas, and Tailwind CSS.
# π Kenya Tenders Dashboard (2025)
An interactive data analysis and dashboard project that explores public tender data from across Kenya. Built with Python, Pandas, Plotly, and HTML/CSS, this project visualizes procurement trends, methods, durations, and top procuring entities using real-world government tender records.
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## π Project Description
This dashboard provides insights into the state of public tenders in Kenya by analyzing key procurement metrics such as:
- Number of tenders by category and method
- Distribution of addendums issued
- Duration between publish and closing dates
- Monthly publishing trends
- Top 10 procuring entities by number of tenders
The goal is to help government agencies, journalists, and citizens better understand procurement activity and promote transparency and efficiency.
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## π‘ Features
- π Interactive Plotly visualizations embedded in HTML
- π§Ή Cleaned and transformed data using Pandas
- π
Duration analysis between publishing and closing
- π Filtered visual insights by method and category
- βοΈ Responsive layout styled with Tailwind CSS
- π Ready-to-use dashboard for browsers or hosting
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## π οΈ Tools & Technologies Used
- **Python** (Pandas, NumPy)
- **Plotly Express** for interactive charts
- **Tailwind CSS** for styling
- **Jupyter Notebook** for data exploration and cleaning
- **Git & GitHub** for version control and hosting
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## πΌοΈ Dashboard Preview
Open the dashboard in any web browser:
```bash
dashboard.html
```
# π Kenya Tenders Dashboard (2025)
An interactive data analysis and dashboard project that explores public tender data from across Kenya. Built with Python, Pandas, Plotly, and HTML/CSS, this project visualizes procurement trends, methods, durations, and top procuring entities using real-world government tender records.
---
## π Project Description
This dashboard provides insights into the state of public tenders in Kenya by analyzing key procurement metrics such as:
- Number of tenders by β¦